Data analytics and business intelligence have become big business for organizations seeking to get a more in-depth understanding of their operating processes and overall strategies. In fact, the current market for business intelligence is poised to reach a value of more than $29 billion by 2022, expanding by a more than 11 percent compound annual growth rate.
Currently, there are several leading choices when it comes to BI software, with big names like Microsoft leading the way. However, even powerful tools like Microsoft Power BI, Tableau and Qlik can benefit from complementary technology including a robust data catalog.
What does BI software offer?
Robust BI platforms empower users to glean essential metrics, real-time analytics and critical insights about their data and information assets. As Microsoft explains, its Power BI solution even enables users to leverage dashboards and other reports to gain access to curated content about their most important enterprise data benchmarks.
A Data Catalog creates an all-encompassing collective intelligence asset
Before users can engage with these robust business intelligence platforms, they must have a way to ensure that the most relevant, important and valuable datasets are included in BI tools’ analysis. The most optimal and streamlined way to achieve this is through the use of a data catalog, which can provide a first stop for users, ahead of working in BI platforms.
A data catalog includes advanced file-crawler technology that allows an array of different file, database and asset types to be identified and cataloged. Best of all, innovative catalogs like that from Unifi allow metadata from these key informational assets to be cataloged in place, ensuring that existing databases and systems are not disrupted.
The catalog is a searchable asset that enables all data – including even formerly siloed tribal knowledge – to be cataloged and more quickly exposed to users for analysis. In addition, advanced solutions like the Unifi data catalog include robust AI-powered capabilities, helping users identify similar datasets that they may have otherwise overlooked ahead of analysis.
There’s no arguing against the key benefits provided by tools like Power BI, Tableau and Qlik. However, these platforms become even more powerful when paired with the advanced features of a data catalog.