Automated Data Cleansing for Data-Driven Decision Making

Automating the self-healing of data is an accelerator to enable your business to make decisions quicker and gain a competitive edge by acting quickly on indicators found within the data.

Inaccurate data can lead to faulty understanding of business activity and predictions for the future, leading to wasted time, money, and resources. Accurate data is required for confident decisions making, enhanced productivity, effective marketing, and reduced costs. Keeping up with industry changes and demands by having accurate data for decision making ensures you are a leader in the marketplace.

Time: 4:31

Jan Turkelson

VP Government Division, Illumination Works

Janette Steets, PhD

Director of Data Science, Illumination Works

If this video is intriguing to you, contact us for a deeper dive into how our automated cleansing solutions can help your company. 

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