Today’s organizations manage vast amounts of data using state-of-the-art Big Data ecosystems. However these processes have limitations arising from the narrow set of pre-defined hypothesis that users have. Organizations today are starting to understand that the reports and business intelligence (BI) thrown up by the analysis is not enough. That is why an increasing number of CXOs are turning to the new science of Data Discovery - primarily to ask questions they did not even know existed. And this helps them define new problems and find new answers.
The underlying problem for most organizations making the journey from a traditional data warehousing (DW) and BI model to the more advanced platforms is the ‘time-to-implement’ - which is generally around 18 months. However, given the pace at which business context change, no one can afford to wait that long. Data Discovery platforms can change that by scrunching the 18 months into four to six weeks. Add to this the fact that capital investments are not significant and operating costs can be kept down using cloud infrastructure.
Adopting these platforms is a four step cycle:
- Strategic Assessment
- Analytics Design
- Value Realization