Geek Sync | Leveraging Cloud Migration for System and Process Renovation

Two critical, yet conflicting revelations about cloud computing are dominating the trajectory of many organizational information management systems decisions. The first is that there is no doubt that the benefits of the cloud influence the obvious decision to migrate data and applications. The second, however, is that despite the promises of lowered costs and simplified administration, the process of cloud migration is complex, making it difficult to realize the anticipated savings and reduction in administrative effort.

Register for our Geek Sync, Leveraging Cloud Migration for System and Process Renovation, on Thursday, January 21 at 11 AM CT, with host David Loshin.

When the IT practitioners at these organizations realize that cloud migration affords the opportunity to go beyond just lifting and shifting their on-premises databases and associated applications, what steps can be taken to truly modernize the environment? In this webinar, we suggest that instead of just lifting and shifting, organizations can take the opportunity to really understand the key business drivers of both today and tomorrow and use that to renovate and modernize their data management environment in the cloud.

Attendees will learn about:
-Benefits of the cloud
-Challenges of cloud migration
-Opportunities for process modernization
-Using modeling to assess and understand the existing data landscape
-Establishing good practices for future architectural approaches
-Solidifying end-to-end data pipeline management to increase confidence in enterprise data consistency

Speaker: David Loshin is the President of Knowledge Integrity, Inc., a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. David is a recognized thought leader and expert consultant in the areas of analytics, big data, data governance, data quality, master data management, and business intelligence.