Introducing DMI – the first ever metric for enterprise data quality

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To solve a problem, you must first understand the problem. Sounds obvious, right? But, with the data explosion producing 90% of all data in the last two years alone, the world is grappling with how to measure and make sense of this new and complex problem – the data-centric universe.

The massive and decentralized growth in data is transforming the world around us. But it has also made DATA the star of the show so rapidly that Gartner predicts that a total of 6 million jobs will be created around this in the US in the next 4 years. All the excitement is wonderful, but going back to the initial point about measurement, how do enterprises measure the quality of what’s available to them and do enterprises have confidence that their data will enable the business to move swiftly in the right direction?

The famous scientist Galileo Galilei once said, “Measure what is measurable, and make measurable what is not so”.

So ladies and gentlemen, for the first time in the evolution of the data-centric universe, enterprises have a way to measure the quality of data available for their initiatives. BDNA, the Data as a Service company, has introduced a score called Data Maturity Index or DMI. Check it out at

BDNA has been working in the data space for over 15 years, helping enterprises make sense of their data, automating the data quality process and enabling IT initiatives and projects at a fraction of the time and effort. Measuring the quality of data comes naturally then to a company that has transformed trillions and trillions of rows of data into actionable insights

The DMI score, much like your credit score, assigns a single number to your data quality. The DMI score tells you how clean, consistent and accurate your data is. On a scale of 1 to 100, DMI indicates the effort you need to put in before you can confidently use the data. You can get your score within moments at