Why data lineage is a business strategy, not a technical feature [Q&A]
Modern enterprises are more than ever reliant on data. But that makes understanding how that data is generated, transmitted, changed and used over time -- its lineage, vitally important.
We spoke to Saurabh Gupta, chief of strategy, revenue and growth at The Modern Data Company, to discuss how proactive, context-rich systems of record enable organizations to accelerate, maintain trust, and strategically utilize data.
Why data lineage matters and why it's so challenging
Change introduces risk. It’s one of those foundational principles of software development that most of us learned very early in our careers. Nevertheless, it always seems to keep cropping up in spite of those repeated life lessons. Our inability to foresee the impact of changes, even small ones, often leads to negative outcomes.
As the complexity of interconnected IT systems has increased, this problem has grown worse. It’s harder and harder to predict how even a small modification might impact systems upstream or downstream of the change. Data lineage accomplishes that, but it’s extraordinarily difficult to do data lineage well.