Data Strategy A definite guide
7 minutes read

A data strategy helps companies know how to manage and analyze data to confront challenges and seize opportunities to thrive. In this blog, you will learn data strategy definition, importance, goals, components, and tips on developing a data strategy that takes your business’s revenue to the next level. 

What Is A Data Strategy?

A data strategy is a roadmap or a framework that defines how the data is collected, stored, utilized, managed, and shared in a company. Generally, a data strategy’s main purposes are: 

What Is A Data Strategy
  • Explain how the company meets its goals by completing the desired data activities.  
  • Describe what changes are necessary for the company to optimize the value of its data activities and outline plans for it. 
  • Create a timeline for completing the planned activities, define milestones, and a strategy to move forward. 

Why Does Data Strategy Matter?

Traditionally, data was considered a byproduct of business activity or process. It provided little value after the process was finished. While there might have been one or more other applications that needed to approach the content for follow-up (special reports, customer service, audits…), these were often one-off activities.   

Business is now different. The value of data is appreciated. The results of analytics and reporting have made data essential in various new business initiatives. It’s popular for application data to be shared with a maximum of 10 other systems. 

Why Does Data Strategy Matter

A good data strategy can help companies solve the following problems: 

  • Business procedure is not efficient and does not utilize all resources.  
  • Data analysis is hindered by certain data issues: data quality, data privacy and data integrity. 
  • There is insufficient understanding of why some departments are getting left behind in terms of efficiency. (supply chain, customer retention…) 
  • Multiple departments have duplicated data. 
  • Data access is not easily granted for different departments. 
  • The current business needs and goal are not clear.  
Understand What Is A Data-Driven Culture and How to Create One

What Are Data Strategy Goals?

To address the above problems, you need to set goals first. Since the IT department is in-charge of implementing the framework and tool for your data strategy, you should consider your IT resources to set feasible goals: 

What Are Data Strategy Goals
  • Innovation: Developing a data strategy means that your company is heading towards innovation. 
  • Meet the requirements of employees: A data strategy should aim to serve and support employees within the company. 
  • Address risk and regulations: A good data strategy should be able to solve data security risks and data compliance requirements.  

Three Components of A Data Strategy

Business strategy

The ultimate goal of data strategy development is to serve your business strategy. You should align your business goals and processes when building your data strategy. Even when there is already a data strategy for your company that existed years ago, you should review and make timely changes to ensure it is well cooperated with the current business strategy. (Because the tools and timeline for data analysis and management could be outdated) 

Organization roles

Not all people use and work with data the same way, that’s why you need to set roles to clearly determine the positions and responsibilities of members. This is crucial for data security and management. 

  • Data engineers: supervise the data pipeline and build data architecture. 
  • Data scientists: work with data that the pipeline delivers 
  • Data analysts: analyze and interpret data 
  • Business managers: manage data operations and review reports. 
Three Components of A Data Strategy

Data architecture

Data architecture includes processes and tools (both on-premises and cloud-based) that help you transform and analyze data. There are three stages in building a data architecture: 

  • Data identification: To define your data architecture, you need to know what the current datasets are. You can review data sources with the IT team and data team or the users who work with data frequently or you can also use data catalog tool.  
  • Data ingestion and storage: Structured and unstructured data from multiple sources and applications need to be centralized and processed in data warehouse or data lake. This is the initial step to format data and prepare for data analysis. 
  • Data analysis: Data can be visualized into comprehensive graphs to uncover trends and patterns. Predictive and prescriptive analytics can also be used to identify problems and forecast goals.  

Among the three data strategy components, data architecture is a major foundation to good and consistent data strategy, which is helpful when your data operation scales up in the future.  

What To Consider When Creating A Data Strategy?

There is a general belief that only large enterprises with huge volumes of data benefit from a data strategy. However, a good data strategy can greatly support small businesses, helping them set the foundation for scaling.   

Although the value of data has expanded immensely for 20 years – and business users realize it, several companies have changed their approaches to collecting, sharing, and manipulating corporate data assets. Their behavior shows an outdated, hidden belief that data is just an application byproduct.   

Businesses need to map out data strategies that match today’s realities. To construct such a thorough data strategy, they need to ponder over current business and technology commitments while also attaining new objectives and goals.   

Here are three criteria you should consider before crafting your data strategy: 

What To Consider When Creating A Data Strategy

Your data maturity level

First and foremost, a self-assessment is essential for establishing your data strategy.   

Where does your business fall in the data maturity stage?  

For example, Dell has a broadly used “Data Maturity Model” that allows companies to explore how data-driven their business is. The model involves four stages, including:   

  • Data aware – Your business has not standardized its reporting system and there’s no integration between your systems, databases, and data sources.   
  • Data proficient – There is still a lack of trust in the data, especially its quality. You may have a data warehouse, but there are still some pieces lost.   
  • Data savvy – Your data empowers your enterprise to make business decisions. However, there are still some issues between business leaders and IT because IT works to offer trusted data on demand.   
  • Data driven – IT and business are cooperating and staying on the same page. Now, the concentration is on developing the data strategy as the foundation work (especially integrating data sources) has been successfully performed.   

What’s most vital here is being realistic about where your business falls. It seems to be insufficient to look at your feelings about how data-driven your brand is. You need to look at the facts. Begin by discovering the data issues your business currently encounters, as that is a good indicator of where you stand.   

Your company and industry size

There are two approaches when it comes to data strategy framework: 

  • Data defense: focuses on things such as data access, security, governance, and accuracy 
  • Data offense: refers to collecting insights for decision making.   

Every business needs a balance of defense and offense. However, depending on their industry, some will focus more on one end of the spectrum.  

Let’s see two data strategy examples: 

Example 1: a financial institution or healthcare organization often processes highly sensitive data, where data security and privacy are prioritized. It’s not a top priority to collect real-time data and fast insights but setting access permissions is paramount. In this case, they will concentrate more on a defense framework.   

Example 2: the technology industry tends to change swiftly and relies heavily on a rapid turnaround of data insights. Hence, they lean more on offense. That being said, there are specific departments in tech companies that will lean more on defense, like finance.   

Your industry and your company’s size will decide whether you choose a centralized or distributed approach for your data strategy. The framework you select will show which strategy works best for your business.   

  • Centralized model: You’ll get a centralized reporting or business intelligence team that handles and processes the data and the reports.   
  • Distributed model: It is suitable for larger teams who choose the offensive approach. Every team can move rapidly and is supported to accomplish their work effectively. In this model, business intelligence takes charge of the platforms and sets the guardrails while teams handle the development work.   

Your data management team

Data science is a hot topic in data management. Glassdoor has listed it as the second-best job in the US in 2022. However, if you’re wondering what position to add to your management data, a data scientist might not be your first option.   

Suppose you are in the earlier stages of the data maturity model. In that case, you might need a data warehouse architect or a data analyst who is familiar with writing SQL and creating SQL tables.   

Regarding the more technical tasks such as putting data in the warehouse, there are many third-party tools to help you. At this stage, all you need is a person that can aid you in structuring your data.   

How To Develop A Data Strategy in 7 Steps

To form a feasible data strategy, you need to follow 7 steps. Also, you’ll find instructions on how to do each step below.  

Step 1: Make a proposal and seek approval

The first and foremost stage in establishing a data strategy is to create a proposal for creating a data strategy and submit it for approval. Having your proposal approved by personnel at all levels is essential because you’ll need their participation for the strategy to be successful. 

To win approval from leadership, you’ll have to prove the strategy will do wonders for the business and how. It is vital that you include economic logic in your report. Also, illustrating how your rivals are utilizing data to better their business is a plus. You should also use compelling examples and data to support your claims. 

You’ll have to receive approval from leaders of departments, technology partners, and other employees who will utilize or contribute to managing data onboard as well. Remember that giving people a sense of ownership over the process will help improve your results significantly. 

Getting approval can be time-consuming to some extent. You may need to review and adjust your proposal several times to fix the possible flaws and make it more convincing. 

How To Develop A Data Strategy in 7 Steps

Step 2: Build a team to manage data and appoint data governance tasks

Once you’ve obtained adequate approval, you can jump to creating a data management team. The team should consist of senior managers and department heads from various parts and units, who are aware of the value of data and challenges relating to data.  

They also have a deep understanding of the company’s technological and organizational competence, as well as its opportunities and limitations. This team’s responsibility is allocating resources, implementing and upgrading policies, as well as handling data-related tasks and possible issues. 

When the team is fully formed, you’ll appoint data governance roles to the members. The crucial roles are mainly ensuring everything is standardized, deploying technologies, informing personnel about updates in policy, and more. Having these roles well assigned will boost the productivity of the team and create a deep sense of ownership among them. 

Step 3: Define the types of data you want to collect and their sources

What you need to do next is to identify the types of data you need and how to gather it. You’ll do this in accordance with your business goals. 

For example, if you’re a blogger and you want to optimize your posts to be in the topics your audience is fondest of, you’ll need to gather data of their interest and the types of posts they read. You can do this by observing which posts different groups of the audience click on or browsing your viewers’ social media profiles to see which pages they like, which community groups they’re in, and what topics they usually post about. 

Step 4: Identify objectives for data collecting and distributing

The keystone of an effective data strategy is having specific objectives. You ought to create both long-term and short-term objectives, as well as both overarching objectives and ones that apply to single tasks and departments. 

Specifically, describe how data can contribute to attaining goals of the business as a whole and how each department can benefit from it. That’s called long-term objectives of a data strategy. And for short-term objectives, define ones for establishing policies regarding the gathering, storage, usage, and sharing of data. 

Each department can set objectives for how they are going to utilize data as well. Thanks to this, they’ll be able to keep tabs on their progress and report to the data management team. This is with the aim of providing insights into how data is used across the company. 

Step 5: Develop a data strategy roadmap

When the objectives are already outlined, you’ll need to launch a plan for how to materialize them. This plan is called a data strategy roadmap. 

Your data strategy roadmap should consist of who owns the objective, what process and technology they will adopt, the expenses, the estimated time to fulfil and the expected results. During the process of the projects, you should regularly revise them to make evaluation to see if it’s working well. 

Step 6: Schedule for data storage and organization 

Data storage and organizing are chief components in a data strategy since they aid in defining how sharable and actionable your data is. 

Data storage is simple, whereas data organization might be distinct across companies. When developing plans for data storage, how much storage capacity should be considered. Besides, you should also consider how your storage method will affect data sharing and usage. How you organize data decides how accessible, understandable, and usable it is. Your storage approach impacts how easy it is for different parts of the company to share data. 

Step 7: Attain approval from the leadership and start adopting your data strategy

Once you have all your objectives mapped out, it’s time to submit in the form of a business plan to the company leadership for approval. 

To make sure you get approval, you should include the strategies you’ll employ to reach the company’s data goals in the business plan. Plus, there should be the resources you’ll need to carry out the strategy, as well as capital investments, new personnel, new processes, and new organizational frameworks. 

After earning the approval from the leadership, you can start the data strategy. As said before, you should revise the strategy frequently to make timely adjustments and improvements if needed. 

4 Pitfalls to Avoid When Developing A Data Strategy

Pitfall 1: Data is the last thing you think about

In many organizations, a data team is always put into a reactive situation. If any problem arises, a new strategy developed, they are the last to hear about it. Then, they’re urged to brainstorm, pulling reports, plans, tactics — anything that might be useful — out of nowhere. Data analytics teams sometimes find themselves as a help centre, rather than contributing to defining strategy from the outset.   

Thinking about data last is a dangerous trap, especially for companies that are developing fast. In fact, it ensures that the data teams get caught on the back foot with nowhere to turn — until someone breaks the cycle.  


  • Raise the question early and often when it comes to data. And when talking to leaders across the company, make sure you connect the dots between the data and business outcomes: 
  • Target: CRO. Strategy: list out the impact of healthy CRM data on shortening sales cycles and boosting cross-sell and upsell.  
  • Target: COO. Strategy: express the influence that ineffective data processes are having on within the organization, and recommend practical solutions for time and budget saving.  
  • Target: CMO. Strategy: express that you understand the vital function of customer data in marketing campaigns, and emphasize that gathering quality customer data requires well-built data architecture. 

Pitfall 2: Overestimate your data capability

Everyone wants to create a data-driven culture, of course – but how realistic is that goal? It is true that many of us wish to utilize data to make any decision, or data-driven decisions, not every organization can allocate enough time, budget, and have the motivation to materialize it. 

According to research by McKinsey Analytics, 61% of organizations that acknowledge the impact of data and analytics on core business practices are still adopting an ad-hoc method for analytics rather than building a full-fledged data strategy.  


Ensure that every meeting related to markets should start with reviewing metrics; and every program should be assigned leading and lagging indicators for measuring effectiveness.  

To go further, you might want to show live feeds of particular key reports in your organization messaging center. You can also send regular monthly or quarterly updates from each line of business to all employees, so everyone has a chance to update themselves of the latest advancements. If there are a layer of meta-analysis for the data, they’ll enjoy the certainty that the reported numbers are accurate and up-to-date.   

Pitfall 3: Unable to think from the first principles

Regarding data, it is extremely easy to lose track of what really matters. Many companies usually overfocus on irrelevant metrics, working around sophisticated dashboards whose chart dramatic changes over time without ever solving single problem about the core business. Have you ever found yourself staring at some figures and metrics and wondering what they even mean? And if you have, how often? 

This mindset nurtures a tendency to invest in the latest tools without setting up a solid foundation first. 


A clear strategy is what you need to get started. 

Spend time listing questions that you want to find answers to. If your main goal for sales is to get as many quality leads as possible, website traffic alone isn’t going to reveal much about how people enter the sales funnel or where and why they leave.  Instead, write a list of things you wish you could know. 

Just like that, make sure you understand what problems you want to solve before start using a new tool. 

Allocate time and effort to arouse the enthusiasm around the initiative – not just in your team, but within other teams who may use the tool for some purposes. Provide training programs for new users and refresh regularly to keep adoption and enthusiasm high. 

Pitfall 4: Let data silos take control

No organization can totally avoid the occurrence of data silos. Even the youngest, smallest ones may have two engineers running applications on different servers. As long as everything is functioning and everyone knows where to find what they need, silos aren’t necessarily a problem. However, when confusion, black holes, and bottlenecks can occur due to silos, it’s time to take measures. 

An easy strategy often seems like a good way to handle not so complicated problems, but that doesn’t always mean it’s the most viable solution. For example, let’s say your marketing department wants to launch a new on-page SEO tool — but it has no integration capabilities with your other data systems. If there are only five users of that tool today, shouldn’t that be alright? Not really. Buying a new tool may be easy, but you may create plenty of work down the road when that data becomes vital for other departments of the company.   


If there has to be any inefficiency in your company, it’s highly likely to be data silos. Instead of looking for silos, find out what the real problems are. When you’ve already known what problems you’re trying to solve, break it down into manageable steps — and if that includes changing technology to eliminate a silo, make sure that everyone understands those long-term advantages and try to get them eager about the change. 

As new needs appear and gaps become significant, Synodus’s data experts can offer a method for discovering the necessary changes across your organization’s different data management abilities and technology areas. With the help from our team of experienced data analysts and data scientists, you can develop a data strategy that acts as a roadmap to meet both current and upcoming data management needs.  


The idea behind a data strategy is not to create a perfect world that can handle any unexpected data demand. Instead, it helps position you to bring the best possible solution when your company’s requirements increase and evolve. We hope that you can clearly understand data strategy meaning, importance, components, and how to build a data strategy for your company. 

Don’t forget to follow us on LinkedInTwitter, and Youtube to be informed about the latest news and information about Data Analytics!

How useful was this post?

Click on a star to rate it!

Average rating 0 / 5. Vote count: 0

No votes so far! Be the first to rate this post.

As you found this post useful...

Follow us on social media!

We are sorry that this post was not useful for you!

Let us improve this post!

Tell us how we can improve this post?

author avatar

Synodus Content Writer

Founded in 2019, Synodus is an IT consulting and software development services provider. With the cultivated knowledge and experience, Synodus Content Writer aims to provide readers with technology insights as well as in-depth analysis and tutorials.

Recent Posts

List of 6+ Best Gaming NFT Marketplaces

List of 6+ Gaming NFT Marketplaces That You Must Check On

Do you believe in the future of NFT-based gaming? If yes, don’t...
Read More
Low Code Benefit

Breakdown the Low Code Benefits & Disadvantages for Businesses  

The larger the enterprise, the larger the workload of the development team....
Read More
best web development tool

11 Best Web Development Stack for robust web & fast deployment  

Choosing the best web development stack is a critical first step in...
Read More
web development stack

What is Web Development Stack & How it streamlines Coding? 

Deciding the suitable tech stack for your web development process is excruciating...
Read More
mean web stack

What is MEAN Stack in Web Development & Why should you use it?

Using a tech stack can shorten the development time as it provides...
Read More
Best Gasless NFT Marketplaces For You To Save More Money

4+ NFT Marketplaces Without Gas Fee To Save You Money

While adopting NFTs into a day-to-day investment, gas fees might be considered...
Read More
mern web development stack

What is MERN Stack in Web Development & Why you should use it  

Developers can leverage different tools, frameworks and even web development stacks to...
Read More
open source web development tools

40+ Open Source Web Development Tools Every Dev Should Know

Rapid web application development tools (open-source) make it easier for programmers to...
Read More
Fashion NFT Marketplace: Which are the best digital platforms for fashion enthusiasts?

6+ Fashion NFT Marketplaces: Which Are The Best For Fashion Enthusiasts?

Fashion - in general - is going places. Therefore, blockchain-related things might...
Read More
single page application seo

12 Tips to optimize SEO in Single Page Application for higher rank

Single page application and SEO have been in dissonance as most SPAs...
Read More

Progressive Web Apps Checklist & Requirements before launching  

Finishing developing your PWA feels like a huge achievement. Yet, ensuring it...
Read More
metro database

15 Best Database for Web Applications and Development in 2023  

Database for Web Applications and Development is required to ensure the functionality...
Read More
NFT Photography Marketplaces

NFT Photography Marketplace: All You Need to Know

NFTs (Non-fungible tokens) have undeniably been talk of the town lately. The...
Read More
Progressive Web Apps Architecture and Benefits

What are Progressive Web Apps: Architecture & Benefits Explained

A new door has opened for companies to engage with their consumers...
Read More
amp vs pwa which is better

AMP vs PWA: Which one is better for your website performance?  

The web world is getting more advanced with innovative technologies that help...
Read More
NFT Jewelry Marketplace: An experience or a real investment

NFT Jewelry Marketplace: An Experience or A Real Investment

NFTs (non-fungible tokens) have revolutionized many industries, including art, game, and sports....
Read More
How does NFT Marketplace work?

How Does NFT Marketplace Work?

Following in the footsteps of bitcoin as the center of digital currency,...
Read More
Wine NFT Marketplace: Everything You Need To Know

Wine NFT Marketplaces: Investing wisely with 4+ Marketplaces of Wine NFTs

It’s hard to think about the combination between wine and NFTs, yet...
Read More
accelerated mobile pages is fast like a spaceship

What is Accelerated Mobile Pages? Should we use it for faster web? 

Faster-loading websites perform better in search results, have reduced bounce rates, and...
Read More
Real Estate NFT Marketplace Everything You Need To Know

Real Estate NFT Marketplace: Everything You Need To Know

The NFT sector of the crypto economy is flourishing. Gradually the NFT...
Read More
race to progressive web apps examples

Best Progressive Web Apps Examples to learn from in 2023 

Since the Internet has accelerated in our society, businesses have been in...
Read More
web development tools for android

Top 10 Web Development Tools for Android to use on the go  

Building and maintaining a website isn't an easy job. Anything can comes...
Read More
front end web development tools

The List of 28 Best Front-end Web Development Tools 

Front-end development tools facilitate the creation of visually attractive websites and applications....
Read More
web application

What is Web Application? How it works? A Detailed Guide 

Web application has been around us for a long time, from the...
Read More
what to ask a web developer before hiring

What questions to ask a web developer before hiring: 25 Q&As

Many businesses are developing or enhancing their existing websites to digitize their...
Read More
9 Open Source NFT Marketplaces With Code Available On Github

9 Open Source NFT Marketplaces With Code on Github

As we all know, open source NFT marketplaces, like any other marketplace,...
Read More
Best 25+ Wordpress NFT Themes For Elementor In 2023

Best 25+ WordPress NFT Themes For Elementor In 2023

Building NFT Wordpress site is such an efficient approach that artists, creators...
Read More
How to create your own NFT Marketplace - 10 steps with tutorials

How to create your own NFT Marketplace (10 steps with tutorials)

Maybe you have heard about blockchain and NFT marketplace, but do you...
Read More
Top 12 Wordpress NFT Minting Plugins For 2023

Top 12 WordPress NFT Minting Plugins In 2023

Today, if you don't move forward, you've gone backward. As a participant...
Read More
Best 25+ Music NFT Marketplaces To Buy And Sell [2023 edition]

Best 25+ Music NFT Marketplaces To Sell And Buy [2023 Edition]

Music NFT marketplace has changed the mindset of music lovers, as creators...
Read More
single page application vs multi page application

Difference between Single Page Application vs Multi Page Application  

With many advanced web app technologies to choose from nowadays, it might...
Read More
Top 15 NFT Marketplace Analytics Tools That Investors Should Use in 2023

TOP 15 NFT Analytics Tools That Investors Should Use in 2023 

NFT Analytics Tools are the best ones for not only NFT individual...
Read More
single page application

Single Page Application: Definition, Benefit, Architecture & Example

With the growing number of websites and Internet users, the requirements for...
Read More
Best 23 NFT Marketplace Wordpress Themes

Best 23+ NFT Marketplace WordPress Themes For Your Consideration 

Non-fungible tokens (NFTs) are of the hour now and then, which have...
Read More
quality assurance in web development

Quality Assurance in Web Development: Benefit, Checklist and How to do  

Quality assurance in web development must be performed regularly, during and even...
Read More
mobile web development tools

Top 11 Best Mobile Web Development Tools to use in 2023

It’s not hard to notice that most companies are investing in developing...
Read More
difference between single page app and progressive web app

Difference between Single Page App and Progressive Web App    

Web applications are becoming increasingly popular due to their engaging user experience...
Read More

NFT Marketplace Royalties: A Definite Guide On How It Works

NFT Marketplace Royalties are the crypto payments (typically a percentage of the sale...
Read More
Top 15+ Best Art NFT Marketplaces Designed For Artists

Top 15 Best Art NFT Marketplaces Designed for Artists 

As NFTs have been in the limelight during the past years, NFT...
Read More
What are ICO, IDO, IEO

What are ICO, IDO and IEO? 

When it comes to creating innovative ways to kickstart projects and raise...
Read More
ICOs vs STOs: Analysis And Comparison

STOs And ICOs: Analysis and Comparison

Many have known that influential firms such as Tesla, Mastercard, BNY Mellon...
Read More
web development guide

Web Development Guide for Business and Beginners: Where to start?

You might have heard someone say Web Development is dying. But the...
Read More
web application frameworks

Top 12 Best to use Web Application Frameworks and Platforms

Web Application isn't something new. Thousands of companies have leveraged this technology...
Read More
NFT Marketplace Business Model: How does it work?

NFT Marketplace Business Model: How Does It Work?

“How do NFT Marketplaces make money?” you might ask. Imagine that you...
Read More
progressive web apps frameworks

Review Top 10 Progressive Web Apps Frameworks & Technology

Although it took some time for the idea to gain traction, the...
Read More
single page application framework

10 Best Single Page Application Frameworks in 2023 with examples 

Choosing the suited single-page application framework is important because the wrong one...
Read More
How To Estimate NFT Marketplace Development Cost

How To Estimate NFT Marketplace Development Cost

“How much does it cost to build an NFT marketplace?", “What is...
Read More
good ui design examples

15+ Good UI Design Examples from top brands to learn from

UI design describe a digital product's appearance, feel, and operation. It's a...
Read More
ux design process

Detailed UX Design Process: How to work with your design team 

If you're wondering how to start a UX design process that works...
Read More
ui design process

Full Step-by-step UI Design Process with tools to use 

A standard UI design process and principles must be followed to create...
Read More
How to attract and retain senior developers to navigate Top Tech Talent Shortage

How To Attract & Retain Senior Developers To Navigate The Top Tech Talent Shortage

Table of Contents[Open][Close]1. Top Tech Talent Shortage: Overview, Statistics, And Explanation1.1. Overview...
Read More
Top 8 Must-have NFT Marketplace Features That You Need To Know

Top 8 Must-have NFT Marketplace Features That You Need To Know

Defining must-have NFT marketplace features is the indispensable yet hardest part of building an...
Read More
bad ui design

15 Bad UI Design Mistakes and Examples: What should we avoid  

When designing the user interface for your mobile app or web, all...
Read More
ux design examples

20 good UX design examples for your website inspiration

UX design is one of the most important aspects of website building....
Read More
ecommerce web development requirements

20+ eCommerce Website Development Requirements to consider

A website is extremely important for an eCommerce business since it's the...
Read More
web development tools

25+ best Web Development Tools & Software to use in 2023

Web development tools make it easy and more efficient for developers (even...
Read More
how long does it take to build an ecommerce website

How long does it take to build an eCommerce Website?  

Building an eCommerce Website can be a daunting process. There are thousands...
Read More

eCommerce Web Development Cost: Full Detailed Guide 

How much does it cost to develop an eCommerce Website? Well, the...
Read More
how to create web application

How to Create Web Application: A Comprehensive process  

After learning what a web application is and how it benefits your...
Read More
real estate web development

Real Estate Web Development: Cost, Requirements & How to  

The goal of realtors has long been to place classified ads in...
Read More
15 Best to use Web Development Platforms

Top 15 Best To Use Web Development Platforms in 2023

If you're struggling with building a website, many web development platforms in...
Read More
ecommerce web development

eCommerce Web Development: Benefits, Types and Simple Steps  

The global online market has witnessed a surge in online sales revenue...
Read More
Blockchain Developer Salaries Around The World - 2023 Edition

Blockchain Developer Salaries Around The World [2023 Edition]

Are you curious to know about the average blockchain developer salaries around...
Read More
web design process

7 steps for a successful Web Design Process with your vendors  

Aesthetics is only one aspect of a web design process. That harmonic...
Read More
frameworks for web development

Top 10 Frameworks for seamless Web Development  

Web development has now become an integral part of any business. Choosing...
Read More
web application examples

12 Web Applications Examples to learn for your web development

With the increased internet usage, web applications might be a good start...
Read More
what is content management system

What is Content Management System: Benefits, Types and Examples 

Whether a small or big firm, a content management system will always...
Read More
web development process

Understand the Web Development Process with your agency 

The web development process is more than designing and coding. A skilled...
Read More

Differences between Web Design and Web Development

Web design and web development are two different activities, yet many businesses...
Read More

Tips to choose your best Web Development Team

Every business wants a website nowadays; it’s one of the most common front...
Read More

A look into 14 Modern Web Development Trends of 2023  

Fail to stay up with current web development trends can significantly impact...
Read More

Best dating sites for over 50

Many local newspapers had online personals in the mid 1990s but were...
Read More

New Strategic Partnership Announcement: ANATICS x SYNODUS

Hanoi, Sep 19th 2022 We are thrilled to announce our strategic partnership...
Read More


Blockchain has become the talk of the town lately, and it is...
Read More

The Ultimate Guide Of Retail Analytics: Definition, Types and Examples Included 

The global retail analytics industry is expected to be worth $18.33 billion...
Read More
Leveraging Predictive Analytics In Excel For Sales Forecasting

Leveraging Predictive Analytics In Excel For Sales Forecasting: How To Do It  

Sales forecasting has a substantial role in every business's success when making...
Read More
Predictive Analytics: A Completed Guide With Benefits, Models And Examples

Predictive Analytics: A Detailed Guide With Benefits, Models And Examples 

Predictive analytics is suggested to be a vital tool for businesses in...
Read More
Top 10 behavioral analytics tools and a guide to choose one

Top 10 User Behavioral Analytics Tools And A Complete Guide To Choose One

Behavioral analytics tool is changing how businesses become more profitable and serve...
Read More
What is Behavioral Analytics? Defintion, Examples & Tools

What Is Behavioral Analytics? Definition, Examples and Tools 

Every mouse click and movement on the screen reveals something about the...
Read More
Data Maturity Assessment With Models And Frameworks

Data Maturity Assessment: How-to Guide (Models and Framework Included)

Table of Contents[Open][Close]Part 1: What Is Data Maturity And How Important It...
Read More
Customer Success Stories - A case from Boody

Turning 10-Year Data Into A Single Source Of Truth With Boody  

Table of Contents[Open][Close]Who Is Boody?How They Came To Us Here Are Key...
Read More
Data Analytics For Marketing Benefits Tools And Examples of Top Brands

Data Analytics for Marketing: Benefits, Tools and Top Brand Examples  

Marketing data is everywhere. Yet, the most valuable insights are usually wrapped...
Read More
Data Monetization A Complete Guide

Data Monetization: A Complete Guide 

You may hear that data is a treasure that will do you...
Read More

Success Story of The ICONIC: Leveraging Customer Analytics To Become A Fashion Giant

Table of Contents[Open][Close]Part 1: A Brief History Of Multi-millionaire Empire: How It...
Read More
Artificial Intelligence 101 and AI in E-Commerce

Artificial Intelligence 101 and AI in E-Commerce

A survey by Statista showed that 70% of decision-makers in the e-commerce world assumed...
Read More
Top 10 examples of Predictive Analytics in Retail

Predictive Analytics in Retail: The Best 10 Uses With Examples

Predictive analytics has undoubtedly around for decades, yet until recently, more and...
Read More
Data security Definition, Importance, Types, Methods

Data security – Definition, Importance, Types, Methods

This article will give you an overview of data security: definition and...
Read More
Top 7 Data Security Best Practices

Top 7 Data Security Best Practices

This blog will explain definition, common security threats and best practices for...
Read More
Top Ecommerce Consulting Companies & How To Choose One

Top Ecommerce Consulting Companies & How To Choose One

While some firms can build an eCommerce business themselves, others turn to...
Read More
In-store Retail Analytics: Definition, Benefits, Use Cases

In-store Retail Analytics: Definition, Benefits, and Use Cases 

When we think of analytics in business, we often think of sales...
Read More
Data Strategy A definite guide

Data Strategy: A Definitive Guide

A data strategy helps companies know how to manage and analyze data...
Read More
Retail Analytics Courses, Books & Reports

Retail Analytics Courses, Books & Reports: Resources for your knowledge

It is crucial for retailers and those who are enthusiastic about retailing...
Read More
The Future of Retail Analytics (10 trends included)

The Future Of Retail Analytics (Top 10 Trends In 2023)

Audio: The Future Of Retail Analytics (Top 10 Trends In 2023) It's...
Read More
Sentiment Analysis - A comprehensive Guide

Sentiment Analysis: A Comprehensive Guide

The power of Natural Language Processing (NLP) enables organizations to implement sentiment...
Read More
What is Data-driven culture

What Is A Data-Driven Culture and How to Create One?

One of the major shifts in today’s business world is the transformation...
Read More
What is Data Visualization?

What Is Data Visualization And Why Is It Important? 

We live in a world of Big Data, in which data visualization...
Read More
Video Analytics For Retail - Definition & Use Cases

Video Analytics For Retail: Definition & Use Cases 

Retail video analytics is becoming more than simply a loss prevention tool;...
Read More
Top 10 Data Visualization Tools

Top 10 Best Data Visualization Tools (Free & Paid)

As the value of data visualization has become widely recognized across companies...
Read More
Databases vs DataWarehouse: Similaries & Differences

Database vs Data Warehouse: Similarities & Differences

What is a database? What is a data warehouse? What are the...
Read More
What is A Database Schema? Types, Benefits, Terms Explained

What Is Database Schema? Types, Benefits, Terms Explained

In this blog, we’ll go further into database schema including database schema...
Read More
Data Warehouse Costs

Data Warehouse Costs: 3 Important Elements to Consider 

It’s essential to select the right data warehouse, business intelligence, and analytics...
Read More
What Is a Data Warehouse? Definition, Benefits, Architecture Explained

What is a Data Warehouse? Definition, Benefits, Architecture Explained

A data warehouse is essential for businesses that wish to drive engagement...
Read More
what is a data warehouse top 10 solutions compared

What is Cloud Data Warehouse? Benefits, Features & Solutions Compared

The growing demand for data warehouses as a service is propelling the...
Read More
data warehouse tutorial for dummies

Data Warehouse Tutorial: Learn from Experts with 6 Steps

Data is gathered at regular intervals from source systems such as ERP...
Read More
benefits of data visualization

What Are The Benefits of Data Visualization?

Data visualization lets us present sets of data through the use of...
Read More
Data Analytics Services for Small Business: Pricing Review

Data Analytics Services for Small Business: Pricing Review

As a small business owner, you’d better implement data analytics if you...
Read More
6 Best Practices for Small Business Analytics

6 Best Practices for Small Business Analytics

Today's successful businesses are propelled by the covert power of small business...
Read More
Data Analytics for SMEs: What You Should Know

Data Analytics for SMEs: What You Should Know

Operating in an ever-changing market, many SMEs are facing challenges and struggling...
Read More
How Your Business Can Benefit From Data Analytics Outsourcing

How Your Business Can Benefit From Data Analytics Outsourcing 

In recent decades, a lot of enterprises - large and SMEs, want...
Read More
Small Business Analytics: 4 Ugly Facts

Small Business Analytics: 4 Ugly Facts

Analytics is an important part of any business, but it's not something...
Read More
5 Data Visualization Trends in 2022

Top 5 Data Visualization Trends in 2022 and More Years to Come!

Due to the fact that technological advances are ever-changing, the future of...
Read More
7 Things to Consider When You Hire a Data Analytics Consultant

7 Things to Consider When You Hire a Data Analytics Consultant

The data analytics consulting industry is a rapidly growing market. The U.S....
Read More
Merge Data from Multiple Sources Effortlessly

6 Detailed Steps to Merge Data from Multiple Sources Effortlessly 

The advancement of technology has created many opportunities for the big data...
Read More
How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality

How to Identify Bad Data and 3 Excellent Ways to Improve Data Quality 

Do you know that 2.5 quintillion bytes of data are generated every...
Read More
Top 6 common payment gateways for eCommerce stores

Top 6 Common Payment Gateways for eCommerce Stores

The world of online business is a fast-paced one. The ability to...
Read More
7 Huge Gaps in Google Analytics And Tools to Fix Them

7 Huge Gaps in Google Analytics And Tools to Fix Them

Google Analytics is a must-have tool in the toolbox of any e-commerce...
Read More
eCommerce advice: How to work with customers as privacy regulations are changing

Ecommerce Advice: How to Work with Customers as Privacy Regulations Are Changing

As the eCommerce industry grows and matures, consumers are becoming more aware...
Read More
Data Warehouse Trends 2022

The Latest Trends in Data Warehouse 2022 

The world has changed since the introduction of data warehouse. Data warehouse...
Read More
Searching for data to make critical decisions? Try these 8 sources

Searching for data to make critical decisions? Try these 8 sources 

Leveraging the gigantic database of your customers can help you seek insights...
Read More
5 Ways Data Science Can Boost Your E-commerce Revenue

5 Ways Data Science Can Boost Your E-commerce Revenue

The 21st century has digitized the world and provided a gigantic database...
Read More
6 Significant Impacts of Geography on E-commerce Conversions

6 Significant Impacts of Geography on E-commerce Conversions 

In online retail, e-commerce conversions happen when customers purchase products or services...
Read More
4 Insightful Books To Master Your Data Visualization

4 Insightful Books To Master Your Data Visualization 

Data analytics is like solving a puzzle. Raw data is a clue...
Read More
How Retail Analytics Can Help You Win Fraudsters

How Retail Analytics Can Help You Win Fraudsters 

Fraud has remained a big concern in the retail industry. The National...
Read More
How You Can Use Data Analytics for Better Inventory Management

How You Can Use Data Analytics for Better Inventory Management  

Inventory is the most important section of a company, ranging from different...
Read More
4 Significant Use Cases of Location Analytics in Retail

Retail Location Analytics | Definition & Use Cases 

Retail Location Analytics supports businesses with robust conditions to directly approach customers,...
Read More
10 Most Reliable KPI Tracking Software Worth Your Consideration 

10 Most Reliable KPI Tracking Software Worth Your Consideration 

With proper KPIs, you can keep track of your campaign’s performance and...
Read More
3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

3 Tips on Selecting the Best E-commerce KPIs for Online Businesses 

KPIs are always an essential part of any business strategy on the...
Read More
2 Ways Internal Data Can Benefit Your E-commerce Business

2 Ways Internal Data Can Benefit Your E-commerce Business

Simply defined, data is helpful information that you accumulate to support organizational...
Read More
8 Best Free Google Analytics Tutorials for Beginners and Experts

8 Best Free Google Analytics Tutorials for Beginners and Experts

Google Analytics is considered an indispensable tool to every website owner. It...
Read More
3 Clever Tips to Scale Your E-commerce Businesses With Data

3 Clever Tips to Scale Your E-commerce Businesses With Data

In the cut-throat world of business, entrepreneurs must compete fiercely with each...
Read More
10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

10 Best Free WooCommerce Analytics Plugins for Your E-commerce Website  

WooCommerce is among the popular platforms that has been revolutionizing the digital...
Read More
Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

Sentiment Analysis and 2 Important Factors to Analyze Customer Feedback

Satisfied customers are a constant source of happiness to businesses. Usually, every...
Read More
Customer behavior analytics are transforming how retailer sell online

Behavior Analytics Are Transforming How Retailers Sell Online Introduction

Behavior analytics refers to the method of collecting and analyzing qualitative and...
Read More
How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement 

How Emotion Analytics is Applied in the E-Commerce Analytics to Increase Customer Engagement

Emotions are verbal and non-verbal communication cues that play an integral role...
Read More
Retail Analytics Can Boost Your Merchandising Effectiveness

2 Ways Retail Analytics Can Boost Your Merchandising Effectiveness

Physical stores have been through a great transformation due to digitalization. The...
Read More
ar in Retail Analytics

How Can Augmented Reality Be So Helpful in Retail Analytics

In the age of innovative technology, retail e-commerce presents a number of...
Read More
retail analytics use cases

Retail Analytics Use Cases: Comprehensive Guide

Table of Contents[Open][Close]What is Retail Analytics?Effective Use Cases For Retail AnalyticsRetail Analytics...
Read More
retail analytics

How to Boost Conversion Rates With The Use of Retail Analytics

The rapid growth of the retail industry comes with big data and...
Read More

4 Effective Ways to Collect Customer Feedback for Analytics

Understanding the importance of customer feedback helps businesses have a full view...
Read More

4 Ways to Use Speech Analytics for Better Customer Engagement

A significant challenge for any business is getting deep insights about customers...
Read More
data science in retail

Data Science in Retail | Use Cases & Famous Projects

Data science employs specific methods, processes, algorithms, and systems to draw insights...
Read More
secrets of online shopping behaviors

3 Big Secrets of Online Shopping Behaviors You Must Know

Customers have certain online shopping behaviors that businesses in the e-commerce industry...
Read More
Customer Feedback Analysis

Detailed Customer Feedback Analysis Guide 2022

Customers have been leaving feedback more than ever before, and businesses amass...
Read More

Comment 8

  1. Awesome! Information. Great work thanks for sharing such useful information. keep it up all the best.

    1. Thank you Avli.

  2. Thanks for your blog, nice to read. Do not stop.

    1. Sure. Hope it helps!

  3. This blog was… how do you say it? Relevant!! Finally I’ve found something
    that helped me. Kudos!

    1. Thank you for your support! It means a lot.

  4. Awesome post.

  5. Valuable information. Fortunate me I found your web site unintentionally, and I’m surprised why this coincidence did not took place earlier!

    I bookmarked it.

Leave a Reply

Your email address will not be published. Required fields are marked *

Search here...

Search here...

Get a fully-stacked data team within 47 hours without making a hire. Our team of data experts help build your data infrastructure, create your metrics and much more. Available from day 1, so you can get a world-class data setup in record time.

Contact Us