Democratization of data is making data and information accessible to everyone. It’s about giving people the power to explore, analyze, and understand the world around them. In this article, you shall look at data democratization (DD) and how it can help your organization become more effective in its use of data.

What is it exactly?

Data democratization is a process of sharing data, which many organizations are turning to improve their internal processes. DD can help your organization make the most of its data by allowing for more team collaboration, self-service analytics, and faster decision-making.

In the past few years, you’ve seen an explosion in tools that allow people to explore and interact with data without expert knowledge. This makes it easier for teams within an organization to use their insights from the same source material as they collaborate on projects or initiatives; however, this only works if they can share information easily.

Why is it important?

DD is important because it allows teams to collaborate in a more fluid way. Without DD, you need to get approval from your manager and IT department before accessing the data you need. This takes time, which slows down your analysis and decision-making process.

With DD, non-technical users can make their queries on-premises or on cloud-based platforms without requiring special permissions or training.

What are the benefits of it?

DD is about ensuring that data is accessible, secure and available across the organization. This means that teams can easily collaborate on projects by accessing the information they need when they need it.

  • Better decisions: When everyone has access to up-to-date data, they can make better decisions—and fast. That’s because they know what other people see in their dashboards and reports, so they don’t have to wait until someone else makes a change or updates something before making their changes.
  • Efficiency: With access to accurate and current information at one click away (or even at a touch), you’ll eliminate time spent searching for reports or recording them manually on spreadsheets. Plus, you won’t have any discrepancies between sources due to multiple people using different methods of reporting data from different sources.
  • Agility: When everyone has access to up-to-date data on demand, there’s no need for lengthy meetings about access rights or approvals for changes made by stakeholders outside of IT (like salespeople). Everyone knows exactly where things stand at any given moment—which means your team can move much faster than before when responding quickly appears necessary.

What are some challenges with adopting data democratization?

There are several challenges that organizations face when adopting DD.

  • DD is still a relatively new concept, so many people aren’t comfortable sharing data with other teams or individuals outside their team. This can be overcome by educating your employees about the value of data and how to use it effectively and communicating openly with them about why you’re making this decision and how they can benefit from it.
  • Some people are uncomfortable sharing their work, even if it’s in line with company policy. This may make them feel like they don’t have control over what happens with their work. If there’s one thing you know about humans (we’re all human), they don’t like feeling powerless because that makes you feel anxious and stressed out. If someone doesn’t know who will see their work or how it will be used, they won’t feel comfortable sharing information for fear of some kind of repercussion later down the road.

Conclusion

DD can be a powerful tool for organizations looking to take their analytics programs to the next level. It allows for greater team collaboration, self-service analytics, and faster decision-making.

However, there are some challenges that organizations will face when adopting this approach, including; user training and education on different toolsets and data governance policies that support data sharing across teams without compromising security or privacy concerns.