Making Sense of Data Chaos in a Rapidly Changing World
Anthony Scriffignano, Dun & Bradstreet's Chief Data Scientist, sat down with Olga Lagunova, Pitney Bowes' Chief Data & Analytics Officer, to discuss the power of establishing a future forward data strategy. The partnership between D&B and Pitney Bowes has lead to leaps in quality data collection and strategic ideas around data governance.
Anthony and Olga review challenges of customer data acquisition, new sources of IOT data, click stream data, unstructured data, and many other exciting new directions data as a service is headed. They compare this exciting time in data science as a storm that can either crush you with its enormity or propel you into an informed future.
They cover data quality and how to improve the strategy around collecting the data. It is discussed that defining what makes quality data upfront is vital. This will educate how the data is collected and analyzed later. Understanding the data standards or the purpose of the data is the first step to data quality.
Watch this video to learn about data concepts like decision elasticity, and how that impacts data collection. Hear about data quality frameworks or processes that help inform companies' data strategy. Listeners will also get the four pillars of data strategy which help business outcomes, data sciences, culture, and data governance.
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