Forecast: Cloudy with Eventual Challenges
Understanding data sources for acquiring and integrating data is rarely a slam dunk. After all, each data source is like an employee in a company, unique coming to the table with similar content and behavior but there are underlying differences, sometimes very subtle, indicating the person is from somewhere else. My favorite example, the way the word coffee is annunciated across the US puts a little more insight on where a person may be from, says the Jersey girl. Unlike the accents where you understand the word and carry on with meaningful communication, data sourcing nuances define the phrase, the devil is in the details. Delta’s vs. full pulls, does the file need interception for cleanup, SLAs/ OLAs, upstream sources, downstream consumers…oh my. Not to mention the sensitive task of data classification requirements, PII (Personally Identifiable Information) vs. (Non PII) that data owners and integrators need to collaborate closely on.
A Critical Framework to Turn Goals into Results
Without clarity into how your company operates, it is easy to make uninformed decisions, which materialize in costly projects that deploy poor solutions that produce little benefit.
This is the first in a series of blogs that explores a critical framework used to avoid producing meaningless solutions, and help turn company goals into meaningful results.