In today’s digital economy, companies are capturing new data to enrich what they already know about customers and are using sensors in order to gain sight of what’s happening and to optimize business operations. This new data is causing many companies with traditional data warehouses and data marts to realize that this is not enough for analytics. Other systems are needed and with the pace of change quickening, lower latency data and machine learning is in demand everywhere. All of it is needed to remain competitive. This seminar looks at why you modernize your analytical setup, to improve governance and agility, bring in new data, reuse data assets, modernize your data warehouse to easily accommodate change, lower data latency, and integrate with other analytical workloads to provide a new modern data warehouse for the digital enterprise.

At the end of the seminar, attendees will:

• Understand why data warehouse modernization is needed to help improve decision making and competitiveness
• Have the ingredients to know how to modernize your data warehouse to improve agility, reduce cost of ownership, facilitate easy maintenance
• Understand modern data modelling techniques and how to reduce the number of data stores in a data warehouse without losing information
• Understand how to exploit cloud computing at lower cost
• Understand how to reduce data latency
• Know how to migrate from a waterfall-based data warehouse and data marts to a lean, modern logical data warehouse with virtual data marts that integrates easily with other analytical systems
• Know how to use data virtualization to simplify access to a more comprehensive set of insights available on multiple analytical platforms running analytics on different types of data for precise evidence-based decision making
• Understand the role of a modern data warehouse in a data-driven enterprise