What is Data-driven culture
9 minutes read

One of the major shifts in today’s business world is the transformation from project-oriented data usage to a data-driven culture in companies. Instead of making decisions based on instinct, enterprises are leaning toward data. In this blog, we will explain data-driven culture meaning and how to create one. 

What Is A Data-Driven Culture?

A data-driven culture is the practice of replacing gut feelings with decisions backed by data and facts, for example using advanced analytics models and qualitative data to forecast profit and revenue. 

The concept of a data-driven culture regards data as the primary source for utilizing insights in each department of the company. Though organizations have always been intrigued by their numbers, the extent of data use is implemented at a higher level in a data-driven culture.  

What Is A Data-driven Culture
Image source: Tableau

The main objective is to allow all employees to actively utilize data to improve their everyday work and to effectively leverage a company’s potential by making decisions more intelligent, initiatives more efficient, and competitive advantages more remarkable.   

The ultimate goal is to construct a cultural framework that lets every member of the organization collaborate to transfer data at the center of decision-making – from the data owner to the business analyst, to the data scientist, and finally to the staff who will use it in their business department. This involves discovering new, data-driven use cases, identifying patterns in data, and experimenting with analytics solutions to find what really works in operational processes.   

The preconditions for building a data-driven culture are access to data, management of usage and quality of data, methodological knowledge on how to examine data, and proper technologies to prepare and examine data.    

What Are The Benefits of Creating A Data-driven Culture?

The volume of data in every area of life is increasing rapidly. People and businesses today are continuously producing large amounts of data – the speed, variety, and complexity of data are also growing.  

Most organizations already collect insights from their data. However, a data-driven culture should not be considered aimlessly following figures. It should promote the advancement of data manipulation skills and critical thinking, which allows companies to make their decisions based on trusted data, as well as know when it’s better not to do so.  

Gain more understanding on Data Strategy

Here are some advantages of applying a data-driven culture.  

Promote decisions guided by data

One of the most crucial benefits of a data-driven culture is undoubtedly that it directs decisions depending on data that has been effectively gathered and utilized.   

Overall, using statistics and worthwhile information to take marketing actions can bring strategic insights that are in keeping with the objectives of a project. Although ideas based on feeling sound tempting, there is no assurance they will work, is there?  

What Are The Benefits of Creating A Data-driven Culture

For example, within a data-driven culture, your ideas will be more in line with the business persona and its requirements. In other words, it’s possible to customize strategies for each step of the buyer’s journey  

As a result, you can predict solutions and bolster your connection with your target segment, helping the business stick out in the market and convey the right message to your ideal customer.   

Optimize processes

So, when you know where to search for data and how to utilize it for valuable insights, you can optimize the internal processes of a marketing business or agency.   

You don’t have to spend time on ideas you’re not sure whether it works or not and as a result, you will become more strategic in organizing, implementing, and even maximizing project-related investments.   

Add value to your product or service

By making data-based decisions and optimizing processes, you will increase the value of the product or service you offer to your customers. Greate results are linked to successful strategies.   

For instance, suppose that you have analyzed data from Google Ads and chosen to optimize your customer’s investment in ads. Those ads will have better performance on the same budget.   

Then, your biweekly or monthly digital marketing report will indicate that you boosted the value of your work. You will get data to show how you derived insights, how they contributed, and define future processes.   

Encourage data democratization

A data-driven culture allows reducing gatekeepers that produce a bottleneck at the gateway to the data. In many cases, the IT department will be the “owner” of the data, while users of this data need to go through it. Therefore, a data-driven culture can democratize the data to more business users for the decision-making process.  

Improve transparency and understanding

Offering every member within a company access to data can boost transparency. Data sharing delivers a message to stakeholders, clients, and employees that you belong to a culture of informing employees and improving data engagement.  

Improve transparency and understanding

As everyone can access data, they also have the chance to enhance their understanding of that data. This can lead to new insights from all levels of the organization since people come to know how metrics are composed and how attempts drive. Moreover, team members can even take advantage of data to detect problem areas and draw a game plan for how to implement necessary enhancements.   

4 Components of A Data-driven Culture

It’s easy enough to describe how to integrate data into a decision-making process. But it’s difficult to make this normal, even automatic, for employees – a change in mindset that shows a tough challenge.    

There are four different components of a data-driven culture, including Data Maturity, Data-driven Leadership, Data Literacy, and Decision-making Process. Let’s explore these 4Ds now.    

Data maturity

Good data maturity is the basis for a data culture. It processes the raw material and its management. A company with solid data maturity has high-standard data quality, and there are available checks to sustain it.  

For a high level of data maturity, it’s crucial to have metadata management in place and make sure it is aligned with the KPIs. Accordingly, you should record Data Lineage, which helps understand what occurred to it since its origin. Moreover, there should be a strong data governance structure, and employees have the proper level of access to data depending on their decision-making demands.   

Other factors that impact data maturity are ease of access, usability, and scalable and agile infrastructure. For instance, if an organization has an archaic infrastructure, it will take too long to access data. In these cases, the company will not leverage data that is not simply accessible. Plus, organizations spend much time validating and creating alignment instead of the impact if there is no alignment of the KPIs.   

Data-driven leadership

Leaders determine the culture of any company. To build a data-driven culture, leaders need to step up and lead by example. A data-driven leader raises the right questions and makes his/her team responsible, ensuring data is employed, and a structured process is followed. The leader considers data a strategic asset and makes “think and act data” a primary strategic priority.   

4 Components of A Data-driven Culture

For instance, a firm is going to adjust the default pricing for an app from annual to monthly subscriptions. The leader should guarantee that the teams are making decisions depending on data. The team will reach the decision according to an experiment – that with proper planning, the same size is satisfied. Furthermore, the experiment should indicate whether the uptick in the difference by adjusting the subscription plan is statistically crucial.   

Data literacy

Data literacy means the ability to read, utilize, absorb, and interpret data toward consequential discussion and conclusion. For a company, data literacy does not mean employees deeply understand how to use and interpret data. It calls for everybody to get a specific level of data literacy based on their job role and the decisions they need to take.   

Decision-making process

Data needs to become an essential part of the decision-making process to gain the best value.   

Is there a planning mechanism to select between projects to work on or whether there is a lookback mechanism to review the decision?   

For instance, If the marketing budget is distributed depending on the estimated return of investment, data might be employed to make decisions.   

Key Factors to Successfully Build a Data-Driven Culture

If you want to foster a data-centric environment, you’ll want to focus on these 4 factors: 

1. Change the MINDSET 

For your people to embrace data, it’s important to change their collective mindset, which is quite challenging. You’ll need to be both patient and persistent when leading your team in a new direction. The following focus points can help with shifting the mindset: 

Change the MINDSET 
  • Executive sponsorship: If your leaders don’t show faith in data, it’s going to be very hard to expect others to have a data-driven mindset. Set an example for your employees is one of the most feasible methods if you want to build a data-driven culture. 
  • Quick wins: One of the best change management techniques is to create quick wins. When your people see and experience the evident advantages of using data, it is easier to encourage their demand for change.  
  • Experimentation: Data-driven enterprises like Amazon are always willing to try on new ideas, make mistakes, and iterate. When you test everything, you’ll understand and be familiar with the significance of data to make informed decisions and help innovate more quickly. 

2. Improve the SKILLSET 

To be successful with data, your people will need particular data-related knowledge and skills. This way, you don’t need to hire a brand-new data team. The following key points can help improve your employees’ skills in data. 

  • Data literacy: Data is not so valuable if one can’t read it. Therefore, make sure your employees receive adequate and proper training on how to read and understand the necessary data. 
  • Data storytelling: Not just data literacy, people need to be able to deliver chief insights they collect in the data to others. This includes combining data, narratives, and visuals efficiently to make sure it’s easy to understand insights. 
  • Analyst resources: Don’t overlook the importance of the quantity of data experts in your company. Many businesses have done so and now; there’s not enough data trainers and coaches who can help the rest of their co-workers become more data-savvy. 

3. Sharpen the TOOLSET 

Gradually, companies can accumulate a host of systems and tools. However, this siloed scenario can often be a hurdle rather than a boost to the development of a data-driven culture. These key points should be taken into serious consideration if you want to build a firm tech foundation for cultivating a data-driven culture: 

Single version of information: However, many data systems your organization has, you need to develop a common data language. Your organization will need a single view of your operating metrics as the real, trustworthy numbers. 

Sharpen the TOOLSET
  • Self-service model: It is important that you can democratize the data to more business users. By doing this, you both free up navigate your analysts and data scientists to focus on more strategic projects and also enable employees to enhance data more regularly. 
  • Automation: These days, many of the laborious analytics tasks such as data cleansing and reporting can be automated. You’ll want to assign as much of the data burden to machines so that human intelligence can be spent more productively.  
  • Process integration: Your analytics tools can be more powerful if you know to integrate them into your current processes or systems. For instance, you can boost the productivity of your meetings by utilizing dashboards as meeting agendas. 

4. Solidify the DATASET 

The relevance and high quality of the data will determine whether it is appreciated or not by people within your business. These focus points help you to ensure your data is useful, trusted and secured: 

  • Strategy alignment: Many companies fail to clearly define and put through what their core priorities are. Your data will only be helpful if it is closely related to measuring your business performance. It’s imperative that your analytics tools remain closely aligned with your business strategy over time — or the output (data) will be less and less useful. 
  • Data governance: If you consider data a business asset, you’ll want to maintain its security and quality. Nevertheless, it’s important to balance oversight with accessibility so that the desire for compliance doesn’t overshadow people’s capability to create value with the data. 
  • Data privacy & security: To mitigate potential risk, you must ensure data privacy is appreciated and data is utilized under security. Business users should be fully trained on the consequences that can happen when data isn’t rightly protected. A part of cultivating a data-driven culture is helping everyone know they play a role in securing these digital assets. 

5 Steps to Prepare for a Data-Driven Culture

Step 1: Ensure transparent communication

The initial step to take when building a new sophisticated data ecosystem at your company is to convey the intentions to all employees. Most of the time, considerable changes in operations seem overwhelming. By discovering new needs, your vision, and expectations of the transformation, you stimulate employees to directly join in enhancing the organization’s services, internal processes, and working conditions.   

Ensure transparent communication

Another major step is to begin practicing what you preach. Ensure that higher executives at your business lead by example, and habitually depend on concrete data during discussions and meetings. As the transformation begins at the top, employees find it simple to follow suit and apply the data-driven approach, because it enables them to create more valuable contributions and keep up with their supervisors.   

Step 2: Ensure simple and secure access to data   

Data can be regarded as an asset when its accuracy is trusted, its provenance is well built, and its security is assured. Meanwhile, optimal usage of data requires governance and openness. To ensure this, you should contemplate a layered approach to make data available in a manner for which its governance, confidentiality, and security are not compromised.  

Step 3: Keep your data clean and updated  

It’s very arduous to analyze and derive something valuable from poorly organized, imprecise, dated information. Hence, you should build clear mechanisms regarding the accumulation, storage, and analysis of data.   

Ensure all your data inputs are gathered in a specific location for better integration and frequent updates. From that, your employees can access the most recent information from one place and make more informed decisions.   

Step 4: Build agile multi-disciplinary teams   

People, not tools, will decide the future of a company. Hence, to establish a fact-driven work environment, organizations should invest in the skills of their people. Ensure that every team has at least one member who’s properly skilled and experienced in data analytics.   

Build agile multi-disciplinary teams

The data-driven journey requires the retraining of the workforce in analytical skills as well as in mindset, so that the employees can know how data-driven decisions are taken and how they contribute to the development and performance of the business. In brief, big data and analytics education and training is crucial for constructing a data-driven culture.   

The choice of right data analytics and visualization tools also stimulates the data adeptness of your employees. At Synodus, you can find reliable analytics solutions for your business that allow you to make the best use of the available data resources.   

Step 5: Grow reward mechanisms  

Sharing data successes is vital to inspire others and promote a healthy, competitive, data-driven culture. To share the results gained by a team or an individual, you can employ various communication tools, such as blogs and videos, set up special meetings, or share the results on your company portal.   

Bear in mind that you select initiatives that go in line with your business’s long-term strategy. For instance, if your objective is to enter new markets or collect more information about your target customers, you should recognize and reward the initiatives that help you move closer to these strategic goals.   

If not communicated across an organization, data is useless. To derive the right information and insights from unstructured and structured data, it’s vital that you concentrate on building a data-driven culture that provides employees with the resources and skills they need.   

How To Create A Data-driven Culture? 10 Steps

Step 1: Establish a data-driven mindset for business leaders

Data-driven culture needs to develop from the top managers and leaders. They set an example of using data and facts to back their decisions. Employees will follow the example and understand the importance of data if they need to persuade or present a new plan to their seniors.  

With the lead of managers with data mindset, the company will substantially shift towards the data-driven culture. 

Step 2: Select metrics wisely

Leaders can choose what they want to measure and which metrics to use, which greatly affects behavior and result. For example, a software company wanted to improve customer experience during support. So, they started building detailed metrics on customer experience and support process, such as first response time for live chat, first response time for ticket, number of unresolved cases… The metrics for customer support process were recorded and reported daily and weekly, making it easier for the app manager to make better decisions and improve customer service.  

Step 3: Work hand in hand with data scientists

Analytics can’t provide value if operated alone from the business. Therefore, data scientists should not be isolated from the rest of the business. If your business leaders and data scientists aren’t on the same page, here are two approaches you can try: 

  1. Pull data science closer to business: Companies can rotate data scientists to line roles so that they have a clearer picture of the operational and sales team. 
  1. Pull business closer to data science: Companies can hold data training classes where data scientists can introduce basic concepts and terms for senior leaders.  

Step 4: Ensure the accessibility of data

Data analysts can’t do their job of analyzing data without quick access to data. This is a common issue in business when people from different apartments can even access the most basic data.  

How To Create A Data-driven Culture? 10 Steps

Here is how you can solve it: you should create different levels of data access. Everyone can have universal data level which contains several important metrics. You can add and customize the universal data level through time. 

Step 5: Quantify uncertainty

Business leaders require their team to give answers, but they are missing a point: asking whether they are certain about it. Here are some questions they can ask: 

  • Is the data reliable? 
  • How can this point be made when there is no data for it? 
  • Are there too few examples to make the statement reliable? 

Step 6: Make proof of concept simple

A proof of concept (POC) is a practice designed to test and verify whether an idea works. When companies put proof of concept into the big picture, they can clearly distinguish between practical and promising ideas.  

Step 7: Offer training

The key to successful training is to offer specialized ones and just in time when employees need them, so they can put the theory right into use. Investing in big training programs is time-wasting because they might forget what they learned quickly. 

Step 8: Analytics is for both customers and employees

Companies should know that data analysis is not just to improve customer experience and generate more profit, it is also for increasing employee satisfaction. Companies can encourage employees to learn a new skill, so they can handle data and make use of it better. There will be less time to revamp their work, or they can simply fetch data more quickly. 

Step 9: Ensure consistency

Among the company, different teams may have their own preferences of data metrics, source, programming languages, which makes it so difficult when combining them. Instead, companies can standardize coding and languages across the business to avoid wasting time, retraining or translation. 

Step 10: Allow data scientists to explain their analytic decisions

There are many approaches to an analytic problem, so you should ask data scientists the following questions when they present their decision: 

  • How do you approach the problem? 
  • What are alternatives to the solution you presented? 
  • What do you trade off when choosing that solution? 
  • Why do you think your solution is better than the others? 

Challenges to Tackle When Creating A Data-Driven Culture

There are several challenges that companies need to identify in the quest to establish a data-driven culture as below:  

Challenges to tackle when Creating A Data-driven Culture
  • Data is still considered the domain of IT department and data scientists. Therefore, it is under the control of the IT department. Not everyone can get easy and quick access to it. 
  • Data is not fully understood by business leaders. They might not see data as an asset and not invest properly in data and data analytics. Because the data analysis doesn’t automatically lead to business value, thus the return on investment for data management is not clear. To understand it correctly, you should associate analyzing data with valuable business insights that can help to solve real problems. 
  • Data is not stored in different software and systems. Employees may have a hard time getting access to data when they need it. Companies need to centralize data with data warehouses, democratize data access so that everyone can easily find data. 
  • Data might be of poor quality, for example not in the right format for the types of analysis. Poor data quality might come from data management, unstructured data, input and human error. 
  • The issue of data privacy and security arises when the company democratizes data access. That’s why companies need to follow data protection rules and regulations such as GDPR. 

Inspiring Examples of Data-Driven Companies

Google – Leveraging people analytics for a better workplace

Employees are the lifeblood of any business, and keeping their morale up is critical for your organization to grow, thrive, and innovate – particularly in a world where online working is becoming the new norm.   

With data analytics, companies can understand the workforce better, handle their talent pipeline more efficiently as well as retain employees that are performing well.   

Google’s people analytics teams dived deep into their data and examined employee performance reviews and feedback surveys amongst various data sources to deeply understand how to “create a better boss”.   

This could generate a list of data-driven insights into what employees valued and help to enhance the manager quality (75% of their lowest-performing managers).   

What’s more, Google’s use of analytics could help make important decisions to improve employee welfare – such as increasing maternity leave to reduce their new mother attrition rates in half.   

Coca-Cola – Show more effective ads to customers

In 2010, over $283 billion was invested in digital ads, and this number is estimated to increase by $517 billion by 2023. Nevertheless, most marketers said that they wasted around 26% of their marketing budget by using unsuitable channels or strategies.   

With the power of data analytics, businesses can provide the right ads to the right audience, enabling brands to optimize their ad campaign ROI.    

Coca-Cola – Show more effective ads to customers

Take Coca-Cola as an example. With more than 105 million followers on Facebook and 2.7 million on Instagram, the company has already had a wide range of data to analyze – from the company mentions to even the pictures posted by their fans.  

Coca-Cola intelligently capitalizes on the power of image recognition technology and data analytics to target users depending on the photos they share socially – offering them insights into the individuals using their products, where they are from, and how their business is being mentioned.  

Those personalized ads had four times greater click-through rate (CTR) versus other means of targeted advertising.  

Netflix – Leveraging data to generate new blockbuster hit series

When it comes to growing new products and services, it can be terrible if you lean only on your gut instinct or viewpoints – even the best brands are not resistant to this.   

With the smart usage of data (via business intelligence), brands will let data-driven insight direct to make logical decisions with a high chance of success.   

Netflix incredibly took advantage of their data’s power to perform predictive analysis, learning what precisely their customers would be receptive and intrigued to watch.   

Analyzing more than 30 million “plays” per day and more than 4 million subscriber ratings, and 3 million searches, they could make winning bets on producing broadly acclaimed hits like “Arrested Development” and “House of Cards”.  

Uber – Offering faster & more effective rides with data 

As we use Uber to take a ride, we may picture many drivers locating near our vicinity and expect to pick up a car within several minutes.  

While we, as the client, are used to this luxury, for Uber, making this happen, addressing the demand-supply gap, has been a huge challenge to be encountered for a long time. Fortunately, the problem can then be solved with Uber adopting predictive analytics. At present, the brand can analyze historical data and vital metrics that cover the number of ride requests and trips completed in multiple areas of a city and the day and time where this is occurring.  

Uber – Offering faster & more effective rides with data

This analysis allows Uber to collect insights into areas that have a supply crunch. That helps them pre-emptively tell drivers to move to areas ahead of time so that they leverage the inevitable increase in demand.   

Making data-driven decisions doesn’t have to be challenging, but it all begins with making the right mindset shift in your company. Synodus’s data experts can guide you lay the first groundwork of building a data-driven culture. With the right direction toward data, you can approach data warehouse, business intelligence and data analytics. Let data lead you towards more lucrative revenue opportunities! 

Start Your Data-driven Culture Today!

Data analytics isn’t just for websites and digital platforms. It can be leveraged to boost the operational model of any business or organization.   

Monitoring the performance of your business is far simpler if you’re invested in generating a mature data culture in your organization. This means all efforts are accounted for since transparency is one of the main components in building an effective workplace.  

A data-driven organization with a rich data culture brings a seamless flow of information that can help them make informed decisions, forging the future of your business. By performing this system of data culture cultivation, you can discover the right path forward for your firm.

Follow us on LinkedIn, Twitter, 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