Data Analytics: Does one size really fit all?

Users helping themselves or growing a “help-yourself-from-deep-seas-of-data” culture, has long been a fable. Observe what happens when Business Users are dunked into this environment. It is the equivalent of setting off in a rowing boat without any navigation system, trying to cross a stormy sea towards an unknown destination. A dangerous endeavor, destined to fail with disastrous consequences.

Pragmatism and Flexibility

To embrace new techniques and technologies necessitates a deep understanding of the information requirements which are aligned with the Business’s short, medium and long term strategies. Before dashing for the dump-all-data-into-one-lake idea and throwing the baby out with the bath water, consult the road-map that is currently directing your Analytical Information traffic. If it does not exist it is unlikely that new software will do much in navigating the best route to answer the ever elusive business questions.

Choosing a solution well suited for your organisation should be driven by the motto of “Pragmatism and Flexibility” and the mantra must always be “Service the Business in the most effective way”.

Even though we may believe that data modelling and/or ETL has fallen by the way side, truly successful Analytics projects will continue to demand interaction and co-operation between Business and IT.

Understanding which data elements are in support of business strategies and collecting appropriate data while making use of tried and tested methods alongside implementing new technologies, demands thorough preparation, planning and implementation guidelines.

Although there is no one size fits all, fitting your business into a right-sized outfit maybe easier than perceived. Steadfast direction remains the order of the day.

To learn how to complement and extend the lifespan of your EDW, DW and to discuss the roles of Data Lakes, Hadoop, HTAP, Hive, LLAP, Spark SQL and whether or not to ETL / ELT attend the ever popular updated technology independent course Data Warehouse Concepts and Dimensional Modeling Techniques that teaches sound principles to be applied no matter what technology is used. Register HERE

By Susan Andrè