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Stan Christiaens

Vrije Universiteit of Brussels,Belgium

Title: Unearthing Valuable Data Insight via an Amazon-ified Approach to Data Discovery and Data Analytics

Biography

Biography: Stan Christiaens

Abstract

For data to be valuable it needs to be discoverable. Many organizations suffer from an “analytics gap,” a common ailment that occurs when your big data and analytics vision doesn’t live up to its promise. Data scientists and business analysts struggle to find the information they need when they need it, and as seen in a recent survey, they can spend up to 60% of their time cleaning and organizing the data -- preventing them from delivering the important insight and innovation needed for business success. As even more data is brought into the environment, from social media, the Internet of things (IoT) and other sources, requesting access to data sets becomes a herculean task.

Increasingly, however, savvy businesses are recognizing the value of taking an “Amazon-ified” approach to data through a data governance model combined with catalog capabilities. Just as consumer-oriented sites like Amazon and Google offer easy-to-use search capabilities that span multiple information silos, while also providing relevant, curated metadata, this same approach can be applied to data discoverability for users to drive strategic insight, powerful data analytics and smart business decisions.

In this presentation by Stan Christiaens, co-founder and CTO of Collibra, conference attendees will learn:

  • How an Amazon-ified approach to finding and accessing data enables data scientists and analysts to more simply uncover valuable data for analytics from one central location, instead of losing time searching for dirty data.
  • Having quick and easy access to accurate data through an automated data catalog enables businesses to leverage information, in addition to tapping into the power of the crowd to see which data has proven most useful to which people, resulting in more simplified and timely reporting.
  • How data catalog as part of an integrated data governance program, provides a collaborative framework to ensure data accountability and ownership to deliver high-quality data that is easily and consistently accessible to users.