Main cultural barriers that prevent evolution in the use of data

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Evolving in the use of data has become an obligation for today's companies. One of the most important points to achieve this is to overcome the cultural barriers that exist within each organization. In this note we address this problem.

Why is it necessary to evolve in the use of data?
Becoming a data-driven company is at the top of today’s corporate agenda. Therefore, evolving in the use of data is one of the most important challenges for today’s companies.

A recent IDC report showed that companies that understand and use their data to make decisions increased revenue three times, reduced time to market for new products, and improved customer satisfaction, profits, and operational efficiency .

This is key for today's companies, which are caught up in a technological acceleration that increases the amount of data and forces them to analyze, manage and govern it.

Despite the great advantages of evolving in the use of south africa phone number lead data , few organizations manage to base their processes and decisions on reliable and quality information.

There are several factors that help explain this disconnect with data, with cultural issues being the most important challenge preventing value from big data and analytics investments.

3 cultural barriers that prevent companies from evolving in their use of data
Let's see what are the main cultural barriers that prevent companies from evolving in the use of data .

Failing to recognize incorrect data
The best of analytical strategies can fall apart if the underlying data is bad and incorrect.

Solving data quality issues requires a deep understanding of what the data means and how it is collected, but when the data is simply wrong, it is much harder to fix.

The challenge of veracity is complex and time-consuming, because it requires experience in the field that allows separating real-time facts from intuitions or simple speculations in data.

But simple technical skills are not enough; we need to evolve towards the data path.

How to achieve this? Training your team to become experts in processes, quality and data mastery is key. This will allow you to understand how to achieve quality data, leaving aside intuitive decisions to focus on objectivity.

Thinking about data consolidation as a technological problem
Technological solutions that apply the latest trends in data analysis and management are essential in today's business world. However, that is not all that is needed to ensure the evolution towards the use of information.

It is important to drive a deep understanding across the enterprise of how it operates and what data means for the whole. Having a good understanding of the business language and the rules required to transform is central.

Failing to provide end users with the self-service tools they need
Putting business users first means giving them the data they need, whenever and however they need it.

New self-service technology tools adapt to user needs and offer integration, storage, exploitation, advanced analysis and data governance so that business areas can make better decisions.

It is important to generate trust in technological solutions since distrust is a characteristic of companies that cannot evolve in the use of data .

Democratization and trust are essential points to improve business decision making. At Data IQ we offer the best analytics solutions that adapt to your company and take your data to the next level. Learn about all the technological alternatives .