What are the barriers to becoming a Data Driven organization?

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Becoming a data-driven organization is the goal of companies today. However, there are certain barriers along the way.

We invite you to learn about them and implement actions to overcome them.

Let's review: what is a Data Driven organization?
A Data Driven organization is one that has an organizational culture based on decision-making processes that stimulate the inclusion of data, analysis and predictive vision to achieve results that are transformed into initiatives and execution.

These companies use the latest technologies to streamline their analytics processes and promote an internal culture of data democratization so that all members make decisions based on knowledge and not intuition.

Over the past few years, more and more companies around the afghanistan phone number lead world have discovered the advantages of becoming Data Driven, as this vision through Big Data and Artificial Intelligence initiatives to make smart decisions achieves successful results for the business.

4 barriers that must be overcome to be a Data Driven organization
The path to becoming a Data Driven organization brings with it complexity, challenges and issues that companies must overcome. Below we review the main current barriers.

Problems in data detection
Detecting relevant data is complex when the sources used are unknown, the data is of poor quality, there are data silos and compliance restrictions. This problem can originate in the data itself or in applications that are stored on isolated platforms.

Technological complexity
Technology plays a fundamental role in Data Driven companies and the main barrier is having technological tools that are too complex to implement and use.

Furthermore, when technological solutions are not optimized, access to data becomes even more difficult.

For example, information may have been entered into a traditional relational data management system or into unstructured files that are not adapted to new tools, making access difficult.

Poor management and connection of metadata
For companies with legacy data systems, migration is still a challenge, as in many cases, data is kept in silos that are completely isolated from each other, without being able to see them in a unified and complete way.

Lack of data democratization
When data is governed by a tiny part of the organization, smart decisions are left to a few people and the rest of the team fails to understand the value of the data.

Many organizations still dismiss data democratization.

How to overcome these obstacles?
For companies to become a Data Driven organization they must integrate data, people and technology .

The right approach is to democratize data so that people using it responsibly can make relevant, real-time decisions.

This is only possible with technology that allows each collaborator to have quick and easy access to data. Data intelligence tools are what allow the democratization of data, mitigate risks and accelerate opportunities.