Accelerating AI projects with an intelligent data catalog
It is only by trusting in an enterprise’s data assets that companies can become data-driven. In the race for digital transformation, it is essential to identify and integrate a variety of information types. In this highly competitive economy, businesses require that data be inventoried, assessed and made available to any employee in the enterprise.
Today, the business and technology sides of an enterprise are not able to connect with each other, weakening their attempt at becoming a data-driven organization. This disconnect mainly comes from the fact that business users are not able to leverage data, as they are unaware of what the data is, where it comes from, or who to ask for help. It also stems from the fact that IT and Business teams do not speak the same data language, therefore creating conflicts and misunderstandings between the two units.
In order for data to be truly democratized, an enterprise’s data must be accessible and usable by all. However, researching relevant data is still a riddle that is difficult and time-consuming to solve. It’s time that IT and Business teams become autonomous in their data projects in order to valorize them and promote better decision-making in the enterprise. This is possible with the right tool: an intelligent data catalog.
What is an intelligent data catalog?
Artificial intelligence and machine learning accelerate the ability for enterprises to discover and organize their data assets. With too much data and too many variables, the common problem in enterprises in just about every industry is that they don’t know what to do with it and how to enhance it. Intelligent data catalogs respond to these challenges.
This new generation of data catalogs represents the next revolutionary tool of metadata management. They help business and IT teams accelerate their projects by providing a unified metadata view that is powered by AI. These intelligent data catalogs also assist in data curation, data governance and metadata management.
The challenges of becoming data-driven
With data volume exploding, it is difficult for humans to efficiently manage large quantities of data. In fact, people in enterprises just simply don’t have time to track down and verify data sources.
In the past, data management solutions, such as data warehousing, was used by many enterprises. But these methods are becoming obsolete and are far too slow for today’s fast-moving data-driven businesses.
Companies are dealing with numerous challenges as to how to democratize their data. A study by IDC states that there is 90% of unstructured data in enterprises, and its parent organization IDG, states that 83% of data professionals consider structured data as a high priority, versus 43% who consider unstructured data a priority. Needless to say that enterprises are missing out on an opportunity to acquire business value by ignoring, not deliberately, their unstructured data.
Another challenge in enterprises is the clear lack of understanding around where data comes from. IT and business teams often ask themselves: “Where does my data come from? How was it created? By whom? For what purpose? Etc. As a result, there are growing demands for real-time interactivity, through AI and Machine Learning, for data to be trustworthy and transparent.
The benefits of an intelligent data catalog
Intelligent data catalogs manage, tag, and store metadata via an easy-to-use and intuitive interface. They also allow a deeper and broader understanding of an enterprise’s data assets. With an intelligent data catalog, AI enables any user to discover entities within unstructured data, uncovers complex relationships between data sets, and provides an understanding of any data’s movements and transformations through time with data lineage.
It’s with AI and Machine Learning powered features that users are able to democratize their data. With everyone being accustomed to instantaneous results by applications and websites such as Google and Facebook, users are now able to search for data sets using a search bar. A keyword, a couple of filters, and a few clicks and any user, business or IT, is able to discover the data set they needed.
Machine Learning and fingerprinting technology also enable automatic recommendations. This intelligent data catalog feature allows for a user to identify similar data sets or choose an alternative data set based on, among other factors, how it is used, its quality, its documentation, its contacts, and its associated terms.
An intelligent data catalog reduces time-consuming tasks such as looking for information and documentation thus allowing employees to devote more time to higher level activities. It is no longer a handful of specialized people, but everyone – with the allotted allowances – that are able to use data for better decision making.
How to leverage data assets with an intelligent data catalog?
Interested in learning more about intelligent data catalogs and how they can benefit your organization? Join us on June 20th at 3pm (Big Data Business Solutions track) presented by Guillaume Bodet, VP Product of Zeenea and Benjamin Simonneau, Manager of Professional Services.
We will be answering, among others, the biggest questions:
How can analysts and business decision makers understand and enrich their documentation?
How do you make them trust these assets?
Who do they contact when they have questions?
How do they use data to make confident and informed decisions?
Come meet Zeenea at stand 701 for more information and demo our data catalog.