Where to start with overloading
Dylan Jones (@dataqualitypro) explains how data overloading occurs -- and how to find a better solution.
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Big Data ROI: a big pet peeve
.@philsimon on whether traditional ROI calculations make sense with respect to Big Data.
Bursting your filter bubble
Jim Harris (@ocdqblog) on bursting your filter bubble.
Leveraging master data management as a tool for DW consolidation
.@davidloshin on leveraging MDM as a tool for DW consolidation.
Ferraris don’t run on kerosene: The case for good data
Imagine a shiny, new red Ferrari in your driveway. You have splurged on it and cannot wait to rev the engine and pull ahead of the annoyingly slow cars on the highway. This is the machine that will take you to your destination with style and speed. Would you run
Want to become a better data quality practitioner? Change your lens
How do you become a better data quality professional? @dataqualitypro offers advice.
Big Data and analytics: which is the bigger trend?
.@philsimon on the data behind Big Data.
Use a no brown M&M's clause
Jim Harris (@ocdqblog) explains why you should channel your inner David Lee Roth and include a No Brown M&M's Clause.
Considering success factors for data warehouse consolidation
The last thing you want to result from a data warehouse consolidation project is the creation of yet another siloed data asset that must be populated and managed with respect to the requirements of the downstream users. To really benefit from a consolidation project, your newly-created consolidated warehouse should replace
Decision-making and the invisible information chain
Business leaders and managers at all levels within an organisation make hundreds of important decisions throughout the year and nearly all of them are driven by data.