Critical Questions for Non-IT Users to Consider When Moving Data Analytics to the Cloud

Most IT organizations are stretched and have limited time and resources to support analysts, engineers, scientists or other power users in moving their data from personal data files such as spreadsheets, offloading data from enterprise data warehouses, or accessing external data from SaaS apps, web service API-based JSON data or other data where the assumption is IT will need to do some degree of coding, allocate capacity, and ensure data sovereignty and privacy guidelines are met. Platforms like Actian Avalanche make it possible to avoid coding data ingestion, preparation, or export to visualization and reporting tools, eliminate capacity planning, and ensure data security requirements are met. But how do you convince IT? What are their expectations and how to engage in the conversation? Join this panel for a discussion of typical concerns power users should have and how to bridge the gap between IT and the rest of us when it comes to moving data analytics to the Cloud.