Struggling to provide fast, flexible analytics for business users while also ensuring a common view of the data? Here are some tips that can help.
Predictive analytics, done effectively, produce insights – and action. Are you falling prey to these 10 myths?
What is hybrid transactional/analytical processing (HTAP)? It's the future of business applications.
Data lakes may be overhyped, but they clearly represent a new opportunity for enterprise analytics.
Despite all of the data in the world, it’s still hard to get at the “truth.” What can we do about it?
Big data is an incredibly powerful weapon. While it's an incredible force for good, history clearly shows that such data gathering will be abused
Just as everyone has their favorite stuffing recipe, every business has its own recipe for predictive analytics – what to measure.
Competitive intelligence is one of the most controversial and debated subjects in cross-corporation relationships. Know what’s okay and what can cost you.
Like in business, there are three levels of sophistication when it comes to decision making: experiential, informed, and predictive.
Learn from past events, analyze data, and anticipate problems to find the right strategy moving forward. Timo Elliot explains why this is so important.