At this point, we can pretty confidently project that the cloud isn’t going anywhere. In the last few years, we’ve seen critical production workloads move to the cloud en masse—and that’s only going to continue. Now that the shift has occurred, other companies will need to get on board as well. The question is no longer if a company should adopt cloud but when and how. Ajeet Singh, ThoughtSpot’s Co-founder and Executive Chairman, is no stranger to embracing change.

CDOs are charged with leading their organizations to become more data-driven. In 2021, this mission is more critical as the distance between data-driven organizations and laggards widened. For many, this means accelerating digital transformation plans.. Last year, ten-year plans got compressed into a single year. Companies raced to implement new technologies - everything from digital payments, store fronts, chat bots, cloud databases, and augmented analytics solutions

For decades, the analytics/BI community has suffered from low user adoption (~30%). Dashboards and fancy visualizations have only proven to be the starting point of the analytics journey, not the endpoint. We are living in a world that demands far greater agility than a fixed layer of information or KPI can provide. Poor user adoption is the result when the analytics system fails to support the users full journey: from data – to insight – to action.

Technology continues to rapidly transform every industry. The world of BI and analytics is no different. We’ve shared five predictions every data leader needs to know about in 2019, but there were five more we couldn’t leave out. 6. Semantic models make a resurgence

The analytics and business intelligence market is set to undergo unprecedented change in 2019. Driven by new technologies like AI and machine learning, along with advances across the cloud ecosystem, data leaders face tremendous transformation - and opportunity. Here are five predictions for what the analytics ecosystem holds for 2019.