Data analytics plays a crucial role in today's enterprises, helping to identify key metric benchmarks and support strategic decision-making. In the current landscape, self-service analytical tools have become an essential asset, enabling stakeholders to carry out queries and leverage corporate data in valuable ways.

According to a report from Market Research Future, the self-service analytics market is on track to reach $10 billion by 2022, expanding at a 20 percent compound annual growth rate.

"The self service analytics market is on track to reach $10 billion by 2022."

However, not all self-service tools are created the same. Enterprises should seek out a solution that includes data cataloging supported by artificial intelligence.

The rise of AI: Data catalog benefits

It's imperative that organizations taking part in analytics have a robust data catalog in place. This resource provides the backbone for analytical processes, and, as Dataversity contributor Amber Lee Dennis pointed out, the data catalog can represent a time machine, providing a look at the state of data within the enterprise at any point in time.

However, such an expansive collection of data can quickly become overwhelming, particularly when selecting sources and information for more specific analysis. This is when AI capabilities within the data catalog become so critical.

AI has the ability to carry out a number of essential processes, including:

  • Profiling data sources: AI algorithms can comb through all of the different data sources included in the data catalog and select the ones that fall within a certain category. In this way, users have a clearer picture of the sources available to them, and the AI technology can tag them automatically, eliminating considerable manual work.
  • Recommending sources: In addition to profiling sources, AI can also suggest other, similar sources that could benefit the analytical project at hand. What's more, robust AI capabilities will demonstrate the relationship between the discovered and recommended sources, so users understand the links existing among different sources.

Unifi OneMind

Unifi is a leader in the self-service data analytics field, and our advanced data platform is supported by an innovative AI engine called OneMind. Unifi's AI capabilities translate to advanced automation for data cleansing, parsing and workflow.

OneMind enables users to leverage Natural Language Queries to ensure ease of use and streamline the path to critical business intelligence. Best of all, OneMind and the Unifi Data Platform leverage supervised and unsupervised AI, creating smarter and more valuable recommendations and insights with every use.

To find out more about how AI fits in with self-service analytics, check out this blog and connect with our analytics experts today.