The business consequences of low-quality data

Presented by

Amit Bhattacharyya, Vox

About this talk

Today’s digitized world has made every business into a data company: in fact, Domo reports that 2.5 quintillion bytes of data are produced every single day. The opportunity to uncover countless valuable insights has made data management an integral part of operations; when done right, it informs all other functions and streamlines the business. But in reality, many companies are working with low-quality data and inefficient pipelines, which deplete resources for minimal results. And, while basic tools can be a good way to reduce overhead, with data quality management (DQM) this can actually cause more financial damage down the line. This webinar breaks down the causes and repercussions of a failing DQM strategy and offers key advice for achieving success. Webinar highlights include: • What an inefficient DQM strategy looks like • How to spot gaps in your existing data quality audits • Which technology tools are most critical for a validated DQM pipeline • And more
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Anomalo data quality management automatically detects data issues and understands their root causes so you can quickly and efficiently solve them.