Why Indian Companies Don't Understand Data-Driven Approach | TheDigitalFellow

7 Reasons Why Indian Traditional Companies Don’t Understand Data Driven Approach

30 Oct, 2022

The Data-Driven approach has converted the way information is processed, analyzed, and evaluated. It is also one of the most important models for Marketing in today's world with techniques like 'CRM' being data-driven. In this article, you will find 7 reasons why Traditional Indian Companies don't understand Data Driven approach.

No plans to adopt the modern data-driven approach

1) Indian traditional companies are used to working with paper records and spreadsheets. They are not familiar with the modern data-driven approach that relies on computers and software to manage information.

2) The data-driven approach is too expensive for Indian traditional companies. They would need to purchase new hardware and software and train their employees in how to use it.

3) Indian traditional companies are hesitant to trust their data to a computer. They believe that a human being is better at understanding and managing information than a machine.

4) The data-driven approach is too complicated for Indian traditional companies. They would need to invest a lot of time and resources into learning how to use it effectively.

5) Indian traditional companies are worried that the data-driven approach would give too much power to computers. They believe that humans should be in control of information, not machines. It's a mindset gap.

6) The data-driven approach is not compatible with the way Indian traditional companies operate. Their business processes are geared towards paper records and spreadsheets, not computers and software.

7) Indian traditional companies don't see the need for a data-driven approach. They are comfortable with their current methods of managing information and don't see any benefits

Unfamiliarity with traditional metrics

There are a lot of talks these days about how important data is to making good business decisions. And it's true - data can give you insights that you would never have been able to obtain through intuition or gut feeling alone.

However, there are still many traditional businesses in India that don't really understand this concept. They're still relying on the same old metrics and methods, even though they may not be as effective as they used to be.

 Here are seven reasons why Indian traditional companies don't understand the data-driven approach:

1. They're unfamiliar with traditional metrics: Many businesses in India are still using methods like gut feeling or personal opinion to make decisions. They're not used to looking at data and analytics to see what's really going on.

 2. Their IT infrastructure is not up to par: In order to make good use of data, you need to have a robust IT infrastructure in place. Unfortunately, many Indian businesses are still using outdated technology that can't handle large amounts of data effectively.

 3. They don't have the right talent: One of the biggest challenges for Indian businesses is finding employees who are skilled in data analysis and know how to use it effectively. There's a

Lack of understanding of math and data

There is a lack of understanding when it comes to the math and data that goes into a data-driven approach. Traditional Indian companies often rely on 'gut feeling' or past experience to make decisions, rather than analyzing data to see what actually works. This can lead to sub-optimal decision-making and a general lack of understanding of how data can be used to improve business operations.

Additionally, data-driven approaches can be seen as threatening to traditional ways of doing things. Change is always difficult, and those who are used to making decisions based on intuition or past experience may resist adopting a new way of doing things. This resistance can prevent traditional Indian companies from fully reaping the benefits of a data-driven approach.

Lack of time commitment

One of the biggest reasons that Indian traditional companies don't understand the data-driven approach is that they lack the time commitment. In order to really reap the benefits of data, you need to dedicate significant time and resources to collecting and analyzing it. For many companies, this is simply too big of an undertaking. They would rather stick to their tried and true methods, even if they are less effective.

Another reason why these companies don't understand the data-driven approach is that they lack the necessary skills. Many of these companies are still using old-fashioned methods of data collection and analysis. They don't have the staff or the expertise to really take advantage of newer, more sophisticated data-driven approaches.

Lastly, a lot of these companies simply don't see the need for a data-driven approach. They're doing just fine with their current methods, so why change? To them, the data-driven approach seems like a lot of effort for little reward.

All of these reasons contribute to the overall hesitancy of Indian traditional companies to embrace a data-driven approach. It's going to take some time and education before these companies truly understand the potential benefits of this approach.

Reluctance to change old habits

We've all heard the saying, 'you can't teach an old dog new tricks.' The same could be said for traditional businesses when it comes to data-driven approaches. After all, they've been around for a while and have established methods that have worked for them up to this point. Why should they change now?

There are a number of reasons why traditional Indian companies don't understand data-driven approaches. One of the biggest is their reluctance to change old habits. They're used to doing things a certain way and don't want to rock the boat. But in today's business world, you have to be willing to adapt or you'll be left behind.

Another reason is that data-driven approaches can be overwhelming. There's a lot of information out there and it can be tough to know where to start. Traditional businesses often lack the resources and expertise to properly mine and analyze data. As a result, they miss out on valuable insights that could help them improve their operations.

 Finally, many traditional Indian businesses are simply resistant to change. They don't like embracing new technology or methods, even if those changes could benefit them in the long run. This resistance can stem from a variety of factors, including

Inadequate/unstable internet bandwidth

 There's no doubt that data-driven approaches can be incredibly powerful, but they require a solid internet connection to function properly. Unfortunately, many traditional Indian companies simply don't have the infrastructure in place to support a data-driven approach. Inadequate or unstable internet bandwidth is a major issue that needs to be addressed before these companies can fully take advantage of data-driven approaches.

The lack of talent to analyze data

 There are many reasons why traditional Indian companies don't understand the data-driven approach. One of the main reasons is the lack of talent to analyze data. Most Indian companies don't have data analysts or dedicated resources to handle big data. The traditional way of doing business is manual and there is no process in place to automate the data analysis. As a result, these companies are not able to make use of a data-driven approach to improve their business performance.


1. In order to be truly data-driven, companies need to have a clear understanding of what data they have and how it can be used to inform decision-making.

2. Too often, Indian traditional companies think of data as something that is only used for marketing or for analyzing past performance. However, data can be used for so much more than that!

3. Data can be used to help identify new opportunities, optimize processes, and predict future trends.

4. Unfortunately, many Indian traditional companies are not yet leveraging data to its full potential due to a lack of understanding of how to do so.

 5. With the right approach, though, traditional companies can learn how to use data in ways that will transform their businesses and help them stay ahead of the competition.