In 2014, data analysts will be empowered through easy-to-use tool that
leverage the insights of data scientists, by providing real-time forecasts
and recommendations in their day-to-day business tools. Better analytics
will make data analysis more effective, while automation frees up data
scientists to focus on strategic initiatives and unlocking further value in
corporate data stores.
Ease of use is a mega trend of the last few years. Those ignoring it, try to make up through
different means. But as proved over and over again, usability wins even over usefulness and correctness.
Original title and link: Big Data analytics predictions for 2014
The month of retrospectives is here. But even better, December is the month of predictions—the time when you need to carefully file links for later claim chowder.
predictionstrends for 2014:
- The end of data scientists.
- Cloud business intelligence goes mainstream.
- Big data finally goes to the sky.
- Agile business intelligence extends its lead.
- Predictive analytics, once the realm of advanced and specialized systems,
will move into the mainstream.
- Embedded business intelligence begins to emerge in an attempt to put
analytics in the path of everyday business activities.
- Storytelling becomes a priority.
- Mobile business intelligence becomes the primary experience for leading-edge
- Organizations begin to analyze social data in earnest.
- NoSQL is the new Hadoop.
I hope they don’t really mean the 1st one.
Original title and link: Top 10 trends in Business Intelligence for 2014 from Tableau Software