In modern analytical ecosystems, the analytics and data science development challenges begin with data discovery end with unclear vision on how to operationalize the outcomes. An inordinate amount of time is spent on the up-front activities of data identification, capture and curation, delaying the time to analytic development.
This session will share best practices for accelerating the time to analysis and model development while establishing a foundation to enable a smooth transition to an operationalized solution. Included will be maximising the value of enterprise data while enabling more agile integration of new, undiscovered kinds of data at the speed of data generation.
Finally, we will explore different facets to simplifying the operationalizing process will be presented, including proven governance frameworks with which to ensure data swamps don’t consume the enterprise, and raising costs and complexity to maintain.
Global Chief Architect Teradata Consulting Services, Teradata
As Global Chief Architect for Teradata Consulting Services, Bob Montemurro leads the Architecture Practice globally, for Teradata. Mr. Montemurro is responsible for a team of highly skilled architecture consultants who work to establish Teradata as a world class business and technology... Read More →