In the first post of a two-part series, Phil Simon plays point-counterpoint with himself.
Tag: ERP
.@philsimon on the downside of the Band-Aid approach.
.@philsimon lists the gravest data-quality errors.
With Big Data, there are far more technical questions than answers.
I've spent a great deal of time in my consulting career railing against multiple systems of record, data silos and disparate versions of the truth. In the mid-1990s, I realized that Excel could only do so much. To quickly identify and ultimately ameliorate thorny data issues, I had to up
@philsimon on the need to recognize DQ differences.
.@philsimon on the different folks you'll encounter in many large organizations.
There's no shortage of hype and confusion surrounding big data. Plenty of companies are starting to dip their toes in the pool despite the relative paucity of documented case studies – at least compared to ERP, CRM and BI applications. Sometimes people ask me, "Can you give me one tip
It seems that more than a few people believe that Big Data is all hype. Leena Rao of TechCrunch writes that the term is "outdated, and consists of an overly general set of words that don’t reflect what is actually happening now with data."