Category Big Data, Cloud, BI

The Basic Guide to Marketing Analytics and Data-Driven Marketing

The Basic Guide to Marketing Analytics and Data-Driven Marketing

Introduction: What is Marketing Analytics and How Does it Help Marketers?

Marketing Analytics is the process of analyzing marketing data to determine the effectiveness of different marketing activities.

The key benefits of using Marketing Analytics are that it helps marketers understand their audience, identify potential customers, plan marketing campaigns, and improve user experience.

The success of a business will depend on the customer experience. A company needs to invest in its marketing campaigns and maintain communication with its audience. A company may want to start building a rapport with their target demographic and then find out what they need and prefer to communicate.

Marketing Analytics is a tool that helps marketers understand their audience and customer base to create marketing campaigns that will be more successful. The process of Marketing Analytics consists of data collection, data analysis, and action plan development. Understanding your marketing data to make more informed and successful marketing strategy decisions is a systematic process. This article will focus on the different stages of this process: Types of Data, Data Collection, and Data Analysis.

Types of Data Used in Marketing Analytics

Data is a constant in today’s world. It comprises the backbone of every industry. Every company has data, and most importantly, they use it to make decisions daily. Organizations of all sizes are using data to improve their business decisions, whether monitoring the uptime of one’s server or predicting how many new customers will likely sign up.

Technology has made it so that organizations of all sizes are using data. For example, this model can be used for marketing to increase revenue, or it can be used to make predictions. It is also used to make individual decisions about people, such as determining if an applicant’s past indicates future success.

Marketing analytics is the study of marketing data to find patterns and tendencies that can improve marketing strategies. It has become an essential aspect of marketing strategy. For example, an entrepreneur and mastermind, Neal Taparia, uses data from his brain training app Solitaire Bliss to learn what customers want and provide products or services that meet customer needs. These insights optimized his marketing efforts for better ROI and conversion rates. They also offer many new ways to look at the data marketers are already collecting to put this data into action to generate more leads, sales, and revenue.

How to Collect Data for Marketing Analytics?

Data is a powerful marketing tool that can gain insights into the company’s performance and in the customer’s mindset. As a result, it helps marketers make better decisions and stay ahead of their competitors. For example, marketing automation software allows marketers to keep up with the fast pace of internet marketing.

The data collection process is an ongoing process that starts with setting goals, defining success metrics, identifying what data needs to be collected, and how it will be gathered. There’s more to it than meets the eye when it comes to data collection. The process is ongoing and starts with setting goals and defining success metrics before considering what data needs to be collected and how it will be gathered. Data can be collected in a variety of ways and various formats. Some of the most popular methods include interviews, focus groups, surveys, or other research tools. Collecting data is an integral part of the research process and provides insights into what people think about a given topic. For example, having data on what people think about public transportation can help improve it and make people more satisfied with this service.

When starting a new project, it’s important to have a process for running a successful project. The first step is setting the goals and defining what success metrics you want to measure. It’s also important to identify what data needs to be collected and how it will be gathered.

There are many different ways to go about achieving a successful project outcome. What works for one person might not work for another. But, the first step in any good process is to identify the goals and define what success metrics you want to measure.

Preparing the Data for Analysis

The first step is to collect data from a source. To do this, we need to identify the data to be collected and then manage it. Some data types can be collected by hand, while others need third-party tools such as Google Ads API, which help you gather raw data.

Once we have the raw data, we need to clean it and remove any extraneous information that isn’t relevant for our purposes. After cleaning and organizing the data, we will then be able to analyze it in different ways, such as using statistics or other analytical methodologies such as machine learning or AI algorithms for regression.

Data cleaning is the process of removing any biases or inconsistencies that may have come up during the data collection process. It includes checking for missing data, incorrect letters or numbers, and formatting errors. After cleaning and organizing the data, we will then be able to analyze it in different ways, such as using statistics or other analytical methodologies such as machine learning.

Analyzing the Data for Meaningful Insights

Companies use data to uncover insights that are sometimes not visible with just a cursory glance.

It can be analyzed in various ways, but it is important to note that data does not provide new information on its own. Instead, it only provides insight into the questions you ask of it.

The four foundations for finding meaning in data are:

Understanding the question, you are asking of your dataFinding patterns and relationships within your dataFocusing on the unique insights of your datasetBringing new perspectives to the problem at hand

Conclusion & Future of Marketing Analytics

We’ve seen that Marketing Analytics is evolving and has a future. The top four reasons for this evolution are:

It’s about understanding the customer and the businessIt’s about unlocking data and turning it into insightsIt’s about getting more of what we want: personalized offers, customized experiences, insightful recommendationsIt’s about ensuring that we get more of what we need: predictive accuracy, ROI maximization, successful marketing campaigns.

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Huge Benefits of Business Intelligence for Your Company

Huge Benefits of Business Intelligence for Your Company

Introduction: What is Business Intelligence?

Business Intelligence is the collection, storage, analysis, and reporting of data to make better business decisions. It can refer to predictive analytics or even “big data.”

Many companies realize the power of BI to improve their business results. They are taking advantage of a number of BI tools. However, the use cases for BI can vary from company to company, depending on their goals.

Business Intelligence is the process of using raw data and analyzing it to get insights into a company’s performance. The insights provide valuable information for managers who want to take actionable steps towards improving their business performance. It also includes information for decision-makers who want a clear vision of what’s going on with their company and how to proceed with plans accordingly.

How Do I Digitize My Data to Get the Most Out of My BI Strategy?

Data is powering today’s organizations, and it has become the lifeblood of an organization. It helps decision-makers understand their audiences and create better products and services that meet their needs, thereby boosting organizational performance and delivering a competitive advantage.

Without it, decisions are made in the dark. Business Intelligence provides organizations with insights into their data that they would not otherwise have access to if they relied only on their understanding and intuition. It helps them make informed decisions regularly by showing them what is happening in their organizations at any given time.

Business Intelligence (BI) is all about making big data work for you, not the other way around. You can use BI to visualize trends, discover patterns and uncover relationships that can improve your decision-making skills at every level of your company. In addition, BI offers business executives a one-stop shop for all the information they need to keep their organizations running smoothly with its ability to combine data from multiple sources, including social media streams and mobile devices. 

The term digitization is used to describe converting paper-based records into electronic data. Data digitization involves taking an existing document or dataset and converting it into digital format, typically using optical scanning or data entry.

To get the most out of your BI strategy, you need to convert your data into a digital format. It is a complex process that can be broken down into a series of steps that need to be done in the correct order.

There are many ways that you can digitize your data. For example, you can use spreadsheet templates to simplify management or use programming languages with a more customized approach. Of course, there is no perfect approach, but finding out which solution suits your needs best is essential.

There are many benefits of digitizing your data to get the most out of your BI strategy. First, it will make it easier for managers and decision-makers to access their information when they need it the most.

What are the Best Features in a Business Intelligence Program?

We will describe the best features in a business intelligence program and how they can help you achieve your goals. It will also provide insight into the many different types of reports that you can create with analytics software.

Types of Reports:

1) Dashboard: These customized analytical tools provide an overview that displays vital information about a particular function or process in real-time.

A dashboard is a customized analytical tool that provides an overview of crucial information about a particular function or process in real-time. The dashboard is designed to help decision-makers better understand what’s happening right now, why it’s happening, and how to react.

2) Interactive Report: Interactive reports are interactive and data-driven, making it easy for users to drill down into specific details and/or segments of data without having to download the information or other files.

Interactive reports are the future of business intelligence. These interactive documents aim to provide more insight into data, making it easier for companies to make strategic decisions. Interactive reports can be used in many ways, including dashboards, data exploration, and storytelling. They allow organizations to get ahead of trends and act accordingly – giving them the competitive edge they need in this fast-paced world.

3) Geographic Map Reports: These reports map attributes such as demographics, household income, and unemployment rates over geographical regions like counties and municipalities.

Maps are an essential tool for understanding the geography of where we live. These maps are helping us understand the current state of our country; they can help us see trends in our communities and how certain regions are faring.

What is the ROI of BI Solutions in 2022?

According to the analysis conducted by Gartner, the ROI of BI Solutions can be difficult to measure. BI is not one-size-fits-all, and the benefits of BI solutions are typically latent and not readily apparent to individuals, driving companies that rely on BI to make hard decisions about how much to invest in these tools.

With the proliferation of different kinds of BI solutions in recent years, it’s easy to find oneself investing without really knowing what the benefits will be. The idea of “not knowing what you don’t know” is difficult to avoid in business, but with so many choices today, it becomes all the more important to understand the nuances of each solution.

Neal Taparia, an entrepreneur and the creator of I’m a Puzzle, thinks that ignoring the options available today is common and counterproductive, but it’s also inevitable. With more and more choices in front of an individual, it becomes difficult to know where to start. However, with each new choice comes increased understanding. It is only through understanding what each solution offers that a person can decide which solution to use. Neal has built his digital properties by applying and following these concepts.

Conclusion: Why More Companies Should Leverage BI for Competitive Advantage

It is widely accepted that BI can be used to gain a competitive advantage. The benefits of BI are numerous and include better decision-making, reduced costs, and increased efficiency.

Business Intelligence (BI) has become an essential part of any company’s strategy. It doesn’t matter what industry, size, or location a company is in—everyone can benefit from BI. This makes it more critical than ever to understand the benefits of BI and how you can implement it at your company.

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How to Put Together an Effective SQL Server Monitoring Strategy

How to Put Together an Effective SQL Server Monitoring Strategy

Tracking how your database is performing should be on the top of the to-do list for any administrator. And of course, the only way to make sure you handle this effectively and efficiently is to put a monitoring strategy in place.

There are several steps to take, and many considerations to take onboard, when building your own SQL Server monitoring strategy, so here are just a few pieces of guidance that will help you avoid common pitfalls.

Create an overview of your database infrastructure

Before you can hope to get a grip on your monitoring duties, you need to map out the various components and assets that go together to make up your SQL Server ecosystem.

This will be easier or harder depending on the complexity of the existing infrastructure. You can simplify things by documenting all of this, as the more thorough your coverage, the better equipped you will be to monitor and maintain it.

Adopt modern monitoring tools

Every DBA must leverage modern monitoring tools that allow them to gather actionable performance information from across their SQL Server deployment.

The latest solutions are more than capable of adding automation to the mix, meaning that rather than relying on manual performance tracking methods which are both time-consuming and tedious, you can instead allow software to flag worrying events and rogue processes for you.

The tools you pick will form the basis of your monitoring strategy, so compare your options and aim to adopt tried, tested and well-respected solutions if you want the best experience.

Work out what metrics to track

There are all sorts of measurable performance metrics which will give you an insight into how your database is performing from moment to moment. The trick is to know which are the most important to track and analyze.

The hardware resources of your server are clearly important in this context. If your CPU is being run ragged, your RAM is running out of capacity or your storage is close to full, these can all have a calamitous impact on performance, and even result in avoidable downtime.

Measuring hardware performance metrics will not only let you troubleshoot SQL Server snafus, but also implement accurate plans regarding how capacity needs will change further down the line.

So, in this way, an effective SQL Server monitoring strategy is not just for firefighting in-the-moment faults, but also about forecasting ahead to avoid issues in the future.

At a software level, there are similarly significant metrics to be on the lookout for. This includes wait statistics which show how long threads take to execute, and could show certain problematic processes or suboptimal queries are present and in need of amelioration.

Index fragmentation also comes into play here, as the less accurate your database’s indexes, the longer it will take for queries to complete.

As with hardware capacity planning, a good monitoring strategy should accommodate software maintenance needs, and ensure that things like rebuilding indexes take place when this will not interfere with the usability of the apps and services your database supports.

Account for likely conflicts

It should go without saying that your strategy for monitoring your SQL Server is as much a proactive plan as it is a reactive one. That means you have to be equipped with an understanding of what flaws will need fixing, and more specifically what issues are not issues at all.

Take blocking, for example. This arises when processes have an exclusive lock on a server resource, and other processes are made to wait until the lock is released. It might sound bad, but a good DBA will know that it is also crucial to how SQL Server functions as a concurrent database platform.

Deadlocks are a little more worrying, but if they occur infrequently then they are far from a total disaster. Even so, combining your own skills and experience with the right monitoring tool will ensure that as conflicts like this rear their heads, you are prepared to swat them down.

Be prepared to make strategic adjustments

It is unhelpful to finish putting together an SQL Server monitoring strategy and then doggedly stick to it even if it is not delivering the results you expected, or if the circumstances of your database change in some way.

Flexibility is another attribute that DBAs should foster, and this includes being happy to tweak and alter your monitoring strategy when it is prudent to do so.

One way to guide your strategic decisions is to keep monitoring after changes are implemented and assess what effect these have, positive or negative.

So, in short, rather than sticking your head in the sand and assuming that your database is running smoothly until it all comes to a grinding halt, make an active effort to implement a monitoring strategy that works well today and can shift to suit your needs tomorrow.

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Data-Driven Marketing Strategies to Supercharge eCommerce Businesses

Data-Driven Marketing Strategies to Supercharge eCommerce Businesses

Big data has become a highly invaluable aspect of modern business. More companies are using sophisticated data analytics and AI tools to overhaul their business models.

Some industries have become more dependent on big data than others. The e-commerce sector has been one of the most affected by major advances in data technology. Smart e-commerce entrepreneurs are utilizing big data to address many of the problems they are facing. New advances in data technology have been especially beneficial for marketing.

E-commerce Companies Are Using Big Data Technology to Improve the Execution of their Marketing Strategies

The e-commerce sector is projected to spend over $6.2 billion on big data by 2025. This figure will continue to grow as more online retailers discover the benefits of using big data for various purposes, such as marketing.

E-commerce businesses have taken off ever since the pandemic pushed us back in our homes. From books, clothes, and shoes to courses and memberships, consumers are interacting with digital businesses more than ever. However, with more e-commerce stores popping up every day, it’s now important for you to invest in e-commerce marketing to not only acquire new customers but also retain them in the long run.

You simply can’t afford to ignore the benefits of using big data in this business. More e-commerce companies are leveraging analytics and AI to improve their business strategies.

Most ecommerce marketing strategies depend on your market, competitors, and your business goals. Here are five marketing strategies you need to use to grow your e-commerce store in 2022.

1. Use data to strengthen brand identity

The customer journey is the most important element of any e-commerce business. You can offer seamless customer engagement by leveraging the power of data. With data analytics, you can uncover insights about customers’ purchasing patterns, preferences, and habits. This knowledge helps you to improve the customer experience, drive sales, and strengthen your brand identity.

Data helps you stay on top of your game and keep your business ahead of the competition. By using the right data-driven marketing strategies, you can turn your value proposition into real-life benefits for your customers.

2. Leverage AI in SMS marketing

Marketing your online store is not an easy task. With more people turning to their mobile phones as an effective way to shop, focusing on SMS campaigns is a must. With the help of SMS marketing tools, you can reach out to a broader audience and get a higher response rate from the customers. You can send short messages about new arrivals, back-in-stock alerts, shipping updates, and many more.

This can be used for any online business and even offline ones. With SMS campaign software you can build customer loyalty, target specific demographics, and cut down on advertising costs. 

AI technology has made SMS marketing a lot more effective. Marketers are using AI to refine their outreach strategies, assess the likelihood that their messages will be flagged as spam or phishing with risk scoring algorithms and ensure compliance with local regulations. AI and big data are making SMS marketing a lot more beneficial.

3. Use Analytics to Improve Google Ads and Google My Business Approaches

Digital marketing is now an integral part of the e-commerce business. As such, it is essential to create a Google-focused strategy that will help you generate more leads and conversions. You can optimize your website for search engines by investing in Google ads and setting up your Google My Business (GMB) profile. A well-optimized GMB profile creates trust, builds authority, and makes you visible in local SERPs.

For e-commerce businesses, the right ad campaign can increase the number of visitors to your website and boost the conversion rate. Data analytics technology can help them identify the practices that are working the best. This is especially true with Google Ads. Google Ads depend heavily on using big data to identify keywords and determine the content and landing pages that are converting the best.

4. Pick a payment processor that uses sophisticated analytics features

E-commerce business owners often struggle with payment gateways and currency conversions. This problem can be easily solved by partnering with a payment processor that has a strong network of payment gateways, allowing you to accept payments from almost any country in the world. While PayPal has been a leader in this space for quite some time, Stripe has quickly risen up to plug the gaps and facilitate more secure and faster payments. Paddle is another solid gateway that you should check out.

Analytics technology is going to be very important when you are working with a payment processor. You are going to want to make sure that you know how to use analytics to get the most bang for your buck.

5. Build a successful email newsletter campaign with analytics technology

In order to stand out in the competitive market, e-commerce businesses need to be more creative with their marketing strategy. Email newsletters are a great way to keep your customers engaged with your brand. The trick lies in creating content that is both informative and engaging. A well-designed email newsletter can boost the customer’s interest and improve conversions. In addition to this, emails also help create brand loyalty and increase your brand awareness.

Analytics technology is the basis for most modern email marketing strategies. You will need to use analytics features in your marketing automation platform to monitor countless KPIs, such as open rates, click-throughs and conversions.

Big Data is the Key to a Thriving E-Commerce Business

There are a lot of benefits of using big data in the e-commerce sector. You will have an easier time improving your ROI if you use it to your advantage. By following these tips, you’ll be able to supercharge your e-commerce business and set it up for success in 2022.

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Data Technology Trends That Will Reshape the Future of Accounting

Data Technology Trends That Will Reshape the Future of Accounting

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. The financial and accounting sector has been particularly impacted by these developments. The market size for financial analytics was worth $6.7 billion last year. That figure is projected to grow to $14 billion by 2026.

A number of new trends in big data are affecting the direction of the accounting sector. Anyone working in this field should be familiar with them.

Big Data is Leading to Monumental Changes in Accounting

A lot of recent technology, such as cloud computing, automation, and SEO, are already in practice. The advent of AI, machine learning, big data, and blockchain technology are already transforming how many businesses handle their daily operations. Not only does technology like big data allow for unprecedented insights and predictions, but AI and blockchain are vastly increasing the efficiency and accuracy of procedures.

Because accounting as an industry makes its dollar on accuracy and efficiency, it’s more important than ever that accounting firms and CPAs keep up with technology and embrace these new developments — because if they don’t, the competition most certainly will.

Remote Work

The COVID-19 pandemic may have forever changed how many of us go to work. Out of necessity, many workers started doing their jobs from home, and even as coronavirus cases slowed, many wished (and still wish) to continue doing so. This has had some tangible beneficial effects — the unemployment rate for accountants was 3% lower than the national average in 2020, no doubt due in some part to 85% of accounting firms being more likely to let employees work remotely, even after the pandemic. Accounting leaders in firms across the country are recognizing the benefits of letting employees work from home, not just for safety’s sake, but for morale as well.

The cloud has been very important in these changes. Many financial experts have started talking about ways to utilize cloud technology in accounting.


Analyzing data is becoming more important to a wide array of industries, especially with the omnipresence of big data and the sheer amount of information that can now be collected by computers and the internet. The role of accountants is changing to reflect this, with many accountants focusing on analyzing data and gleaning insights from that data, in order to increase efficiency and perform better risk management. Data analysis in accounting is hardly revolutionary, but the scale at which analytics can operate has expanded dramatically — meaning accounting firms will have to embrace some new skill sets if they wish to remain relevant.

Social Media

In many ways, social media has taken the place of a company website as a means of keeping in touch with customers, building a reputation, building brand awareness, driving traffic, and otherwise establishing a positive online presence. In the hands of a dedicated and skilled social media expert (or team) it can become a potent sales and branding tool. A majority of accountants (77%) already use social media for their marketing and branding, and that number will likely only get larger as social media itself continues to grow and expand.

AI and Machine Learning

AI and machine learning are poised to play a major part in the future of several industries. A majority of accountants (66%) already report that they either have, or would, embrace AI in their daily operations, while almost 60% believe it’s likely to improve their efficiency when it comes to certain tasks. AI has the potential to optimize tasks and processes that might otherwise take needless man-hours to handle. While it’s unlikely AI could ever take the place of human accountants, they can provide assistance in decision-making, improve efficiency, and help with data analysis.

Deep learning has been especially useful for small business accounting. This is going to be a huge gamechanger for small businesses in the future.

Big Data

Big data has become an integral part of all our lives — and it’s only going to become more so. The accounting industry stands to gain huge advantages in the form of actionable insights taken from the massive data sets now commonly available. Over 60% of accounting firms worldwide are already making use of big data, and many are making it a priority to hire accountants with superior knowledge in analytics and data science. With proper use and analysis of big data, CPAs can not only improve their planning and processes, but anticipate potential problems before they arise.


Like big data and AI, blockchain technology is likely to become a central part of the accounting industry. The security and transparency of blockchain technology is already changing things in the accounting world, by bringing down the costs of maintaining ledgers and improving accuracy of tracking ownership of assets. But blockchain tech is still poorly understood by many, and more skilled employees who have a firm grasp of what blockchain is capable of are needed.

Of course, the technological changes transforming the accounting world (and the world in general) aren’t all sunshine and roses. There are legitimate reasons to be concerned about some of the pitfalls of these technologies — for example, the privacy concerns that come with big data, the error susceptibility of machine learning, and the possible negative effects of blockchain on the environment. If technology is going to advance in a responsible and sustainable way, the accounting world will require highly trained and educated individuals who understand the ethics of these technologies and how to best implement them.

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4 Ways To Grow Your Business With Big Data

4 Ways To Grow Your Business With Big Data

Decision making is a big part of running a business, and in today’s world, big data drives that decision making. The power of big data has become more available than ever before. Big data has been highly beneficial to business.

Decisions like whether or not to expand a certain division or add a big contractor are understood to require painstaking data analytics, research and planning before execution. But, what about the seemingly small decisions that can be left to intuition or work experience – like what time of the day to send an email campaign, or if a button on your website should be blue or white?

With access to the right data, marketing decisions aren’t just made by intuition but established, verifiable facts. Data is one of the most important resources for any business. Data analytics helps you make the best choices for your business and customers.

Here are four things that will get you and your business on the data-driven path:

 1. Understand Your Business

This seemingly obvious step is easy to overlook. At first glance, every business sells products or services, and has customers, goals, values, etc. Outside of that, it is important to know how your customers interact with your products, buying trends, what devices they use, what times they like to shop, and so much more.

Most businesses track a lot of this information already. Analytical tools are readily available from tracking email open rates, web and social media analytics. Businesses already have a wealth of data but understanding your business will help you identify a data need – what kind of data your business needs to collect and if it collects too much or too little of certain data. Collecting too much data would be overwhelming and too little – inefficient.

The right data will help define the right outcomes and ask the right questions. Google analytics, for example, allows businesses to track trends in visits and conversions. That kind of data can help businesses understand which pages convert better and ask why certain pages don’t perform as well.

Data-driven business growth is much easier for small businesses because of the relatively small size of the data collected, accessible tools and minimal skill required. Larger enterprises require professionals with advanced analytical skills to collect and analyze data.  

 2. Set clear goals

Data collection is just a step data-driven approach. The organization needs a clear sense of how that information will be used to achieve their specific goals that align with their mission and values. Set goals about the key problems or growth areas in your business.

Possible goals could be to increase conversion for an underperforming product or to test market-fit for a new product. 

Once you’ve defined your goals, you’ll need to determine how to measure them. Based on the data available, define strategies to achieve these goals. Identify and establish key performance indicators (KPIs) that will be monitored closely. KPIs are important outcomes and positive or negative shifts show the effectiveness of different strategies.

Set goals and KPIs early on to avoid wasting valuable time and resources. Clear goals drive focus, set targets and standards for businesses and employees. Outcomes cannot be completely appreciated if there are no goals in place.

3. Test first

Testing is invaluable for generating useful insights into how hypothetical strategies would perform in practice. Testing is done to confirm inferences from big data or assumptions based on industry standards so testing can be done before, during or after gathering data. It involves testing the strategies defined by your goals. Testing can help businesses discover how customers interact with their business, understand the products to throw out and opportunities to enter new markets. 

Split testing is an investigation method, commonly used in marketing to test variations of a campaign or approach and see which one performs better. Target users are randomly split into a control group and test groups and are shown variations of whatever is being tested. Test one variable at a time and determine its performance. It is impossible to track the cause changes when multiple variables are tested at a time.

Focus should be kept on KPIs as the primary metric that changes when the test variable is manipulated. Avoid distracting figures and values that could derail your experiment. For example, if you run a split test for a social media campaign, KPIs could be leads generated or conversion rate. Likes and follower count are not the primary goal so posts that gain the most engagement but don’t translate to leads will not be considered statistically better. 

Sometimes, conclusions from data analytics may not be ones we like but, in the end, being data driven is about believing data and not feeling.

4. Iterations

Technology, user preferences, and industry standards change continually. Trends change very quickly and to stay on top, businesses should continually repeat the cycle of research, goal setting and testing. 

You’ll be significantly better able to gain the insights that will drive positive change and smart growth if you utilize your data to track the proper metrics and focus on the most essential outcomes for your organization.

In conclusion, with the right training or knowledge and the right analytical tools, you can start making better business decisions with data to grow your business smarter and faster.

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Good UX Design Principles Must Be Predicated on Big Data

Good UX Design Principles Must Be Predicated on Big Data

Meta Description: Having a website and/or mobile app is important for your business success. That is why you have to know the good UX design principles. Continue to read this blog post for more important details.

Big data technology has transformed the web design and e-commerce professions in recent years. It is no longer possible to rely on artistic abilities or even coding skills alone. Smart web developers recognize the need to lean on analytics and AI technology to make the most of their design efforts.

Big data has been especially valuable in the field of user experience optimization.

Big Data is Vital to UX Design

Online businesses are projected to spend over $10.7 billion on website analytics technology by 2026. Demand is largely driven by the growing need for big data in user experience optimization.

The importance of data analytics in design is even more important when it comes to improving an existing website. The initial web design is going to be based on educated guesses about the ways users will respond to your content. However, you are going to have to make ongoing tweaks to your site over time.

Big data has made it a lot easier to create quality websites and improve conversions and engagement later. You will rely heavily on data analytics tools to supplement your UX design efforts.

UX design is essential for the success of your business website and mobile application. You cannot have an impactful digital platform when you fail to make this a consideration with your design. Why so? Because the experience of the users is the main concern here. You should make sure that each user of your app or site will experience greatness. The users must be happy; otherwise, they will find a new provider of content and information. This is the focus of this blog post. You will know the good UX design principles that are important for success.

You have to make sure that user experience is great. This is to increase the trust level of the potential customers with your company and brand. Having said this, the principles in UX design can be the guiding light. They will help the creators of user experience designs along the way. Remember that the users of your website or app must be served well. Their expectations have to be met. This is how you can bring your business and brand to the next level.

You must utilize big data technology in order to accomplish this. You cannot make assumptions about user preferences or attitudes. Human beings are irrational, so you can never know how they will actually respond to your design.

Fortunately, there are a lot of great data analytics that make UX optimization much easier. Some of these tools include the following:

Google AnalyticsCrazy EggSpring MetricsClickyMint

Sensible web managers and developers recognize that user data must govern the decision-making process for altering their designs. Some of the ways this can be accomplished include:

Using Google Analytics to determine the amount of time people spend on their websites before and after making major changes to their templates.Split-testing different elements with conversion data analytics tools while running PPC campaigns.Evaluating engagement for different traffic sources by looking at website analytics data.

Learning the UX design principles and knowing how to leverage data analytics to support them is quite essential as far as having a great product and service is concerned. Once you know the practices to follow, of course, you will not be lost. You can follow the right path towards attaining your business goals and objectives. You will get a lot more value out of your approach if you use data analytics strategically.

Hence, it is a must to prioritize UX design principles as part of the overall strategy. It is helpful if you are knowledgeable about the guidelines and practices in UX designing. You must also be familiar with the data analytics tools that can help support your strategy.

Good UX design principles

While data analytics technology is vital to UX, you must also be familiar with the basics of UX optimization. Below are the top 5 principles in UX designing. You have to understand each of them for you to be able to get the results you ever wanted.

1. Hierarchy is a top priority.

Hierarchy is the first principle here. What is it? There are two aspects of hierarchy which you have to know. First is IA or information architecture, and second is visual hierarchy. Regarding the first one, you know that content and information are what your site users are looking for. Your website should serve as a source of solution. Thus, your biz site must be reliable. Such reliability reflects how organized and relevant the content of your site is. Organizing the content structure is vital for success.

Information architecture is essential as far as influencing the users is concerned. Your site must have a primary navigation menu that is at the top level of the said hierarchy. Organizing well all the content is necessary for your website to become relevant. You must strive hard to make sure that your website will meet the needs and demands of the users. This is the best chance for your business to go to the next level. This is how you can elevate your competitiveness level as a brand.

The second hierarchy aspect is about visuals. Visuals reflect the artistic creation, graphics, and any other visible representation inside your website structure. Visuals can certainly help the users in navigating the menu of your site. They can act as a guiding light. They serve as an instruction that directs the users on what to do next after opening a particular web page.

The arrangement of all visual elements in your business website is the main emphasis of visual hierarchy. This is very important to bring every website or app user to a certain level of satisfaction. Your business can have a great chance of getting to the next level when visual hierarchy is given utmost consideration and priority.

2. Meeting the needs is essential.

The usability aspect of your UX design must be evident. Your website should serve as the main source of helpful content and information. This is through this way where you will be able to hit competitive advantage. Throughout the design process, you have to prioritize how usable your website and app content is. People’s problems and issues must be resolved when they rely on your website information. Hence, the design of your site should be well-organized. This is how to influence the users’ decision-making process positively.

There are expectations that the users are surfacing. This is the main reason why you are obliged to conduct user research. Researching the needs and demands of the users should be the primary approach. This must be the initial stage as you go along the way towards achieving dramatic growth and success. You have to know the demands of the users in terms of the things they want to get from you. Your brand can only excel when you are able to provide what the users need.

What do you think users do? This is a typical question that aligns with good UX design principles. Asking yourself such a question is necessary for the attainment of success. But then, asking yourself what the users “might be doing” is different from what the users “are doing.” That said, there is an intense need of researching the needs of the users. This is quite important to meet their expectations and needs. Doing this can bring your brand to the top of the competition in one way or another.

3. Contextualization plays an important role.

The so-called user’s contexts should be understood well if you want your website to be appreciated and embraced by potential customers. Having said this, you need to remind yourself that it is part of the entire chain of design processes. You cannot have a great UX design when you do not know how to contextualize the users’ needs. For instance, you have to determine whether your potential web users are just at home or are mobile persons. Someone on the go is somehow different from someone who stays at home.

The time aspect, location, emotional conditions, among other things, are significant to make your website really appealing to the audience. So, you have to contextualize your UX design based on the mentioned elements. Otherwise, you cannot create a fulfilling website or app. You should consider that there is nothing you want to achieve but ultimate success. You want to attract more leads to trust the website of your company. You want your brand identity to be recognized as a provider of practical solutions.

Contextualization is about understanding the behavioral patterns of the target users. Maximizing user experience is a rule of thumb. You want to succeed in business, don’t you? So, you have to make sure that your business website can provide what the users are expecting. Failure to do this can lead to the ultimate business operation’s failure.

Of course, you want to have monetary gains along the way in a sustainable fashion. The implication is that you are willing to do everything possible just to get your business to the next level. Follow this principle. Make sure that you contextualize the UX design you are planning to create.

4. Consistency is a significant factor for success.

Do not disregard consistency because it plays a vital role in your business website success. You want to succeed, and it has to be manifested through the number of people attracted to visit and use your site. Further, there should be an increase in the number of leads to be converted into great sales and revenues. Finally, sustainability in business must be observed along the way and its indication is related to the number of repeat purchases your website can record. Did you know that all these things can be achieved through consistency?

Consistency must be part of the overall business strategy. When creating the impactful UX design, you have to ensure that it is consistent throughout the process. The used color scheme, logo image, graphics, and even textual elements should be the same from day one onwards. If there are changes to come out, they have to be revealed and explained apparently for the users to understand the reasons why such changes may take place.

Consistency is a key factor for business success. Hence, you have to prioritize this factor. The users may also expect products which are almost the same as the usual products they are using. To know the expectations of the users, you can conduct product research. Doing this will allow you to create products that are impactful to the consumers’ lives. Consumer experiences have to be great. Otherwise, your brand performance will be weak and lousy. You have to do everything possible through this way in order to bring your brand to the next level.

5. Allow user control to gain momentum.

Gaining momentum as far as providing a great user experience is concerned is significant. This is through this way where you will hit your desired goals and objectives. You need to allow the users to enjoy user control to gain momentum. On your website, the content and information are very important. You have to let the users share your brand-related content with other people. This is through this way to elevate your chance of winning the tight competition in business.
Concerning a website or app’s UX design, allowing the users to have a better experience is a must. You want your company to be recognized as a top-notch provider of practical solutions, right? You cannot realize your goals and objectives pertinent to this aspect when the users are barred from sharing with others and from engaging with other users. Every time they visit and use your website, they should not be prohibited or restricted from doing the things they like to do. Of course, it does not mean that you will give them access to your sensitive files.
Do not force your audience or users of the site to do a sure thing that is always favorable to your business. The implication is that you must always allow the users to enjoy things like a “cancel button.” It means the users should be permitted to leave your site anytime they want. This is part of freedom which is very important for gaining momentum. The truth of the matter is that you can boost the great experience of the users when you do this. Their interest in your website will dramatically rise when you are not restrictive.

Data Analytics is Crucial to the Future of UX

What should you do right now? The given UX design principles are great and helpful for you. You are going to need to know how to use data analytics to get the most value from your user experience optimization approach.

Creating a website or mobile app is one of the top ways you can consider to strengthen your online presence. It is the experience of the users which has to be prioritized. That is why you should understand the good UX design principles before you will hire a UX design company to help you in the aspect of creating a site that is user-friendly and user-focused.

The best thing you should do right now is to look for a credible digital marketing company that offers comprehensive and all-inclusive packages. There are a lot of options you can take as far as hiring a legitimate service provider is concerned. Make sure that you can get an agency that is in accordance with your budgetary requirements and technical requisites. At the end of the day, it is the success rate of your business which is at stake. Invest in this particular strategy. Hire the best agency to create a website that follows the UX rules and guidelines.

Do not let your business be left behind by your competitors. Choosing the right UX design professional is a crucial strategy. Your business website should aim to provide a great and wonderful user experience. Nothing else.

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The Evolving Role of Analytics in Supply Chain Security

The Evolving Role of Analytics in Supply Chain Security

Analytics technology has become fundamental to many aspects of organizational management. Some of the benefits of analytics actually have crossover with each other.

For example, more companies than ever are using analytics to bolster their security. They are also using data analytics tools to help streamline many logistical processes and make sure supply chains operate more efficiently. These companies have since realized that analytics can be invaluable to helping improve the security of supply chain systems.

The market for security analytics will be worth over $25 billion by 2026. You can learn more about the benefits by reading below.

Analytics is Making the Security of Supply Chains Far More Robust

Supply chain refers to the ecosystem of resources used in designing, manufacturing, and distributing a product. For example, hardware and software, the cloud and local storage, and delivery systems are components of the cybersecurity supply chain. Supply chain analytics also plays a huge role.

Every organization requires various third-party services and software to carry out its daily operations. Many of these third-party organizations offer invaluable analytics capabilities, which can help address countless logistical issues. This means that the organization must rely on other organizations for many things, such as third-party chat applications, to interact internally. The supply chain is referred to because many items are procured from outside sources. 

Supply chain attacks are typically concerned with cyber security, and a single attack on a single supplier might compromise a large number of organizations, for example, by spreading malware throughout the supply chain.

Analytics technology can help identify some of the security threats that businesses are encountering. A number of tools merge AI and analytics algorithms to improve their threat scoring challenges and engage in automated prevention measures as hackers try to orchestrate these attacks. This is leading to a new era of security analytics.

Supply Chain Security with Analytics Capabilities

Software supply chain security is primarily concerned with securing your process to ensure you can provide customers with what they require at the most fortuitous timing and price and with adequate protection. Any disruptions and risks to the integrity of the delivered products or services compromise the organization’s privacy and its data. So, you must implement a wide range of cyber security practices for trust to be easily established and for your organization to operate efficiently.

You will be able to address these threats more easily with the right analytics-based cybersecurity strategy in place. However, you must first educate yourself about the different cybersecurity threats and analytics tools that can help prevent them.

Organizations must adhere to the following analytics-driven tactics and procedures to reduce the risks associated with the supply chain.

Performing Vendor Review

Every organization should conduct a vendor review of the third-party service provider before implementing any software in their organization. This provides essential clarity regarding the software supply chain security of that vendor. 

The vendor review should include an evaluation of how the data is handled by the vendor and what data protection methods are in operation on the vendor’s premises. This provides a clear image of the third-party provider and their rules, allowing businesses to make more informed decisions about whether or not they should include the software in their operations.

Analytics technology can make it easier to learn more about different vendors. There are a lot of data mining tools that can analyze ratings on different vendor review sites, which can help you more quickly identify the best candidates to handle the job.

Performing Vulnerability Assessment

To be considered complete, the vulnerability assessment should be done on all devices that are part of the infrastructure. These can be performed on both new and old apps to ensure that the applications are secure and that the individuals in charge are doing an excellent job of administering them. Organizations can also enlist the assistance of a purple or red team simulation to assess the level of cyber security knowledge among their workforce.

Analytics technology has become a lot more important with vulnerability assessments. You will be able to use analytics tools to evaluate the security architecture of your cybersecurity defense system and come up with actionable strategies to address concerns.

Modernization and Digitization

There are a few things that we cannot digitize. For example, if the business is still reliant on paper, monitoring access control and security will be challenging to manage because they are generated by third-party processes. It is recommended that instead of making physical copies, you utilize the digital version to prevent the exposure of sensitive information. Digitalization also facilitates access control for both the products and the data.


To mitigate the risks resulting from supply chain attacks, it is necessary that any data that contains critical information about customers be encrypted at all times. Therefore, customer data will be protected in a malware attack. Additionally, all sensitive data that can be accessed by third-party systems should be protected using encryption or different authentication factors.

Analytics is Essential for Improving Supply Chain Security

Attacks on the supply chain are now causing worry because every organization relies on third-party vendors to maintain its day-to-day operations. The good news is that analytics technology is becoming very useful in thwarting these problems. However, threat attackers are now focusing their attention on the vendors as it allows them to infect a large number of companies. As a result, it is critical to implement controls and conduct regular reviews to ensure that the organization is not adversely affected if any vulnerability in a supply chain is exploited.

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7 Ways Data Analytics Is Boosting the ROI Of Digital Marketing

7 Ways Data Analytics Is Boosting the ROI Of Digital Marketing

Digital marketers work online and leverage online tools to drive sales. They make up an aspect of marketing focused on using the internet and cloud-based technology to promote brands. Marketers all share the same goal: reach the target audience and make more profit. But driving sales through the maximization of profit and minimization of cost is impossible without data analytics.

Data analytics is the process of drawing inferences from datasets to understand the information they contain. It helps marketers with insight, which is the capacity to gain a deep understanding of their target audience. Whether marketers intend to reach new customers or persuade the existing ones, here are ways analytics is boosting returns on investment (ROI):

1. Increased Customer Growth

The two primary objectives of any digital marketing in Scotland or other countries are acquiring new clients and retaining existing customers. Through data analytics, digital marketers find it so easy to acquire new customers through trends and retain the existing ones by assessing their behaviors. That way, they can widen their customer base, improve reach, and effectively engage buyers with more marketing products. 

They use the patterns they’ve learned to trigger brand loyalty for customer growth and thereby boost returns on marketing investment. 

2. Improved Marketing Campaigns 

Campaigns flag off digital marketing. Creating a strategy that promotes your products and services is the first attempt at reaching your target audience. However, most marketing campaigns are not targeted because they fail to understand customers’ behaviors by leveraging data analytics. Marketers deploying analytics make a comprehensive analysis of customer trends to achieve improved campaigns. Focused and targeted campaigns boost sales by engaging optimally with the audience. When buyers connect the right way, make purchase decisions, there are positive returns on investment.

3. Personalized Services

Personalization is among the prime drivers of digital marketing, thanks to data analytics. Gathered data enables business owners to understand the needs of buyers. This includes the understanding of the message they’d love to read, the medium they’re comfortable with, and the time they’re mostly online. 

Leveraging these metrics, digital marketers can draft personalized campaigns that meet customers’ needs and eliminate budget waste. At reduced costs and efforts, they can make more sales and boost returns on investment.

4. Reduced Risks

Aside from the assessment function of analytics, there’s also the security benefit. By optimizing your marketing campaigns, analytics helps you identify risks and quickly patch them. It reduces customer churn rate, often due to repetitive tasks, by providing meaningful and actionable insight

When your campaign is faulty, it’s usually due to a lack of data. A non-functional marketing operation, for instance, may cause potential buyers to explore other options. But if your strategy is data-driven, not only do you engage customers but also boost whatever amount you invested in running that program.

5. Innovative Products

So, when you start creating a product, aside from features, another thing that you must consider is to create something that customers want. Consumers today are not solely after the satisfaction of wants; they want products that meet their demands at the right place and time.

Therefore, any digital marketing process without considering the correct goods will miss the target. Marketers can no longer base campaigns on instinctive and intuitional content. Commodities have to be innovative either by labeling, filtering, or description. Data analytics fuses the right products with customers’ needs for maximum engagement and favorable returns.

6. Enhanced Supply Management

If production is not complete until goods get to the consumers, what about marketing? Of course, the ultimate goal of any marketing strategy is to persuade consumers to make sales and start using the products. If the good is yet to get to the consumer, marketing is incomplete. 

In digital marketing, there are many bottlenecks regarding the delivery of goods that data analytics has resolved. With greater precision and insight, digital marketers can deliver orders within a few days. Buyers can also track their orders. This process leads to improved satisfaction, increased customer growth, and positive returns on investment.

7. Effective Decision Making 

Savvy digital marketers appreciate the role of data reporting in the success of marketing strategies. More importantly, they never take lightly the need to make informed decisions from the reports to avoid analysis paralysis. Fortunately, today, there are significant data analytics tools with incredible visualization designs for the ease and convenience of decision-making. Improved decisions make the buyer’s journey more efficient, leading to more sales, profits, and mouthwatering returns.


Digital marketing is a lot of investment. It requires time, effort, and money. However, smart marketers know the solution to boosting returns is the deployment of data analytics. 

Analytics helps business owners to understand customers’ trends and behaviors better. This understanding is then used towards persuading buyers to engage with products, buy the goods, and start using them.

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The 5 Best Methods Utilized for Data Collection

The 5 Best Methods Utilized for Data Collection

Collecting data is a necessary step that companies must take to reach their desired standards or keep from declining in quality. Not only that, but the product or service primarily influences the public’s perception of a brand that they offer, so gathering the data that will inform them of customers’ level of satisfaction is extremely important.

But what ways should be used to do so? Here are a few methods used in data collection.

Conduct Surveys

Surveys are a tried and true way for companies to gather customer information. This method allows companies to directly ask their customers questions about whatever they wish to provide insight into products, services, prices, and more. They are also very versatile and can be conducted online and via email to reach a wide range of customers or in-person to create a deeper and more personalized understanding of the questions being asked. They can also be performed over the phone with a live correspondent or an automated system by implementing tools like Votacall. Questionnaires and social media are often used, too.

Using Registrations and Subscriptions

Many platforms today require customers to subscribe or register to use their services, which can prove to be a valuable way of collecting information about your consumer base. For example, those signing up for email lists or recurring purchases will likely be asked to provide a small amount of data, such as their date of birth, gender, name, email, and so on. When done correctly, this user data can give companies an idea of the demographics using their services and products. However, when asking too many questions or too personal of information, people reject the service.

Performing Online Tracking

More people are online today than ever before, so online tracking is inevitably used to obtain statistics and data for websites. Tracking will tell you how many people have clicked on your site, what tabs they went to, and how long they stayed there. Analyzing these statistics will help teams decide what needs to be addressed or what is working well for the site. For example, what is garnering the most traffic? Why do people back-click out of the site so often? All these questions and more are a result of online tracking.

Scraping Online Directories

There is a lot of content on the Internet. A lot of this content is publicly available. You can use a scraping tool to assimilate content that will be useful for whatever projects you are working on.

Scraping tools like Parsehub, Scrapy and Octoparse can be very useful. You will be able to use them to scrape data on the public web and then categorize it with your data archiving tools.

CRM Tools

There are a lot of tools that make it easier to gather and categorize customer data. You can try using customer relationship management tools like HubSpot CRM, Zendesk Sell and Pipedrive. These CRM tools are able to organize and aggregate customer data easily. You will be able to leverage it to its full effectiveness.

Closing Thoughts

While these data collection methods are widespread and still used to great success, several other strategies are used, such as managing transactions and analyzing market analytics. Understanding your audience is one of the most critical aspects of the process, regardless of whichever method you choose to employ. You’ll often need a combination of many to obtain a solid and accurate representation of the collected data.

You will want to use these data collection techniques as effectively as possible. You may be surprised by the value that they will provide when you are creating a data-driven business.

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