How to boost data-driven decisions with data catalog

shukla7789 · Post by **shukla7789** » Tue Jan 21, 2025 4:39 am

Discover the power of your data to make data-driven decisions with a data catalog.
Intelligent Data Catalog: Accelerate your organization's data analytics maturity

For some years now, it has been said that data is “the new gold” , the raw material on which all organizations must base themselves in order to make more assertive business decisions. While this premise is true, it is also true that, in the eagerness to collect data, companies often get lost in tsunamis that they themselves have generated.

In this way, it is extremely complex to be a data-driven company . Firms that achieve this are characterized by making strategic decisions based on data analysis and interpretation. Let's look at some keys to achieving this below.

What we see today is that organizations have data from architect database sources, types, and formats distributed across multiple departments. But that’s not all: the data is located in different repositories and systems; it is also stored in quite heterogeneous storage environments. There may even be duplication of the data.

For example, some of the data may reside on-premises, while other data is located in cloud data warehouses and data lakes. This situation can create problems because in order to gain insights and value from the data, and make data-driven decisions , data analysts and data scientists need to be able to find it quickly.

Not knowing where data is located, where it came from , or whether it can be trusted certainly complicates value creation initiatives , and worse still, it can lead to misdiagnosis.

To overcome this barrier and become data-driven and data-first companies , it is important for organizations to have a data catalog . The latter is a tool that offers a modern way of working with data , including features such as glossaries or functionalities for collaborating between teams. “They also help establish new data management concepts, such as the data mesh, and lay the foundations for sharing internal and external data.”