ful feedback loop analytics provides. Core to data strategy is a prioritization exercise for where to focus. The analytics will provide a flashlight for spotting which data holds the most promise for business insight. It can also provide a unique perspective of data quality that goes way beyond the master data formatting and standardization.
Question 1: What's the Purpose? Always start with purpose. What specific outcome do you hope to accomplish?
Question 2: Where's the data? Focusing on the data you have vs. the data you don't is a critical step in creating momentum and finding success.
Question 3: How is your data quality?
Some models and techniques have higher tolerance for bad/missing data.
Question 4: What is your data latency?
Do you require real-time decisions, or will it suffice to process decisions in periodic cycles or entirely offline? This question has big implications in your deployment architecture.
analytics strategy from the onset.