As automation does more mechanical tasks, the role of the analytics department will change quickly. In the future, analysts will spend more time interpreting results and telling stories.

We’re in the early stages of a dramatic transition for the analytics industry. More and more of the jobs that were previously done by analysts are being automated. Technology is changing the way organizations receive information. People are being alerted to both good and bad news as it happens and this has profound behavioral consequences for organizations.

The BI industry has become synonymous with the dashboard, but dashboards aren’t great at most use cases, like helping users to find new insights or investigate data. It’s time for the industry to find new ways to deliver information to users.

Increase user adoption for your analytics tools — create stories that give your data a voice while generating common, consistent understanding across your organization.

There are three phases in the way the BI industry has approached automated analytics: 1) helping the user build a better dashboard, 2) assisted insights, 3) outlier and trend detection

Our dashboards are easy to create, highly-customizable, and personalized. Awesome visualizations and interactivity engage users and increases usage and adoption. Build the data-driven culture your business needs.

Unlike your dashboards, Yellowfin discovers and sends automatic alerts about critical changes in the business, as they occur. Get early warning signs for Spikes and Drops, Step Changes, Changes in Trend Direction and Volatility, Period Comparisons, New and Lost Attributes.

Cut down discovery time. Assisted Insights automatically and instantly seeks out the answers to your queries. Use the Smart Analysis button in the report builder, drag the data that requires analysis, and just click.

Watch how Yellowfin finds the missing link between your data and data insight and comprehension.

Glen Rabie, CEO of Yellowfin, makes 5 predictions for BI and data analytics in 2019.