This webinar explores the organizational constructs and processes for enabling business to build better insights through Data Quality, Data Engineering, and Data Science. In particular, it examines the needs for:
A Data Lab to foster an open, questioning, and collaborative environment to develop the right data principles, patterns, and standards.
A Data Factory to implement those standards developed in the Data Lab.
Different Data Quality requirements in the Lab and Factory, how Data Engineering aims to meet both needs.
Data Engineering, in advance of the sexier Data Science, to create the right environments in both the lab and the factory and to actually examine the data.
All of the above to provide the data needed to create more efficient processes for the Data Scientists to be more effective in their roles.
Join this webinar to hear Tom “The Data Doc” Redman discuss with Dr. Prashanth Southekal, recent author of Data for Business Performance, the details of achieving better insights with examples of a case study from an Oil and Gas company.