Preparing data for analytics
It is important to understand that preparing data for analytics is different than storing data efficiently in a data warehouse, which focuses on normal reporting / business intelligent type and/or ad hoc queries. Regular database administrators (DBAs) will need to be educated and/or convinced that analytics requires the data to be in a different form in order for the algorithms to process the data. It is especially important for the data to be prepared for analytic processing in order for the actual processing to run in a timely manner. Information Technology (IT) employees play an increasingly important role in helping organizations leverage data and analytics. While it isn't necessary for someone in IT to understand statistics or analytics, it is important for them to support the data scientist in acquiring the proper hardware and software to build an analytics platform that runs efficiently so that the business can best leverage the information locked in their...
