From the humble data warehouse to the lake and swamp to potentially an ocean of data, take your pick where you want to drown yourself. The reality is the customer doesn’t care about the fancy lake or the Kafka pipelines; they care about the service they are receiving from you. Due to poor communication and misalignment […]
4 Ways to Monetize Data and Improve Your Revenue Model
Every organization I know of wants to treat its data as an asset. But they lack the imagination of what that means. It can be interpreted as having robust Data Governance. Or it could mean improving Data Literacy across the organization. We are collecting and storing zettabytes of data. But we are also failing at organizing […]
Why Synthetic Data Still Has a Data Quality Problem
According to Gartner, 85% of Data Science projects fail (and are predicted to do so through 2022). I suspect the failure rates are even higher, as more and more organizations today are trying to utilize the power of data to improve their services or create new revenue streams. Not having the “right” data continues to prevent […]