Real-Time Data

Decision-makers are at a disadvantage when they are forced to work with stale dashboards and analytics. Opportunities to use AI to personalize marketing, sales, and service at the point of engagement to increase customer loyalty are lost if data is old and irrelevant. Faster insights can only be achieved if delays and bottlenecks throughout data life cycles are addressed using better practices and modern technologies.In the report, David Stodder, Senior Director of TDWI Research for Business Intelligence, points out that “problems such as complex manual coding, redundancy, and excessive data...

Success or failure in the digital age will be determined by how effectively organizations manage their data. The speed, diversity and volume of data present today can overwhelm older data architectures, leaving business leaders lacking the insight and operational agility needed to respond to market opportunity or competitive challenges.With the pace of today’s business, modernization of a data architecture must be seamless, and ideally, build on existing capabilities. This webinar explores how data virtualization can help provide a seamless evolution to the capabilities of an existing data...

There’s a wide range of reasons why many organizations are deciding to modernize their data architectures. But they all agree on one thing: by using data more effectively, more widely, and more deeply, they can improve and optimize business and decision-making processes that will help them stay competitive in the emerging digital economy.To prepare data architectures for the next evolution of analytics, the current systems that rely on physical data movement and redundant data storage, must be modernized. However, for it to be effective, modernization must be seamless and must not disturb...