One of the strongest trends in information technology (IT) today is self-service, which puts the power of creating data-driven solutions in the hands of the business user. This way, IT organizations are offloaded; they needn’t create unique datasets, reports, and analyses per user, which frees up IT’s time for other tasks.
However, the hardest part of self-service analytics, for the business end user, is data integration, due to the complexity of data sources and structures, plus the challenges of unifying diverse data into a single dataset for analytics. Many of today’s data integration approaches are designed for an older time, with older data and time frames, whereas modern business users need alternative approaches, if they are to achieve self-service, agility, and impact via analytics.
- Latest data integration best practices for self-service analytics
- What features customers are looking for in next generation analytics and data integration platforms
- How data integration platforms with machine intelligence can make self-service analytics a reality for end-users
Join Philip Russom, senior director of research at TDWI, and Andrew Miller, Senior Sales Engineer at Bit Stew Systems for an in-depth look at how data integration drives advanced analytics to bring greater intelligence for your organization. Fill out the form to watch the webinar now.