Big Data and Analytic Top 10 Trends for 2014
By peterschutt on Feb 25, 2014
Which information management priorities are at the top of the corporate IT agenda? What are the most compelling developments in big data, analytics, mobile computing, data warehousing, and cloud computing that motivate IT leaders to undertake new technology initiatives?
Oracle surveyed hundreds of IT decision makers to learn about their big data and analytics plans for 2014—both within the Oracle customer base and the industry at large. Respondents provided specific feedback on mobile BI, cloud, Hadoop, data discovery, predictive analytics, and decision optimization technologies and practices. From this extensive data set we compiled the following trends:
Trend 1: Business Users Get Hooked on Mobile Analytics
Trend 2: Analytics Take to the Cloud
Trend 3: Hadoop-Based Data Reservoirs Unite with Data Warehouses
Trend 4: New Skills Bolster Big Data Investments
Trend 5: Big Data Discovery is the Secret to Workforce Success for HCM
Trend 6: Predictive Analytics Lend Fresh Insight into Big Data Strategies
Trend 7: Predictive Analytics Bring New Insight to Old Business Processes
Trend 8: Decision Optimization Technologies Enhance Human Intuition
Trend 9: Business Leaders Embrace Packaged Analytics
Trend 10: New Skills Launch New Horizons of Analysis
In nearly every industry, organizations are challenged to make sense of massive amounts of diverse, dynamic data coming from inside and outside of their control. Data influences many types of business decisions, motivating IT leaders to deploy intuitive analytics tools, to acquire pre-built analytics for LoB applications, and to utilize mobile and cloud models for economy and convenience.
Market leaders gain the upper hand through effective use of technology. They rely on modern software tools to integrate structured and unstructured data, to empower business users with self-service capabilities, to model large data sets, and to make bold predictions based on
patterns in the data.
Download the full report to not only learn about the trends, problems, and breakthroughs in big data and analytics in more detail but also for a bit of advice to get the most from your investments.