The healthcare industry is still getting a grasp on big data, data analytics and how to harness the information into actionable change.
The International Data Corp. offered the following 10 predictions for big data and data analytics in the next year.
1. Visual data discovery tools will grow faster than rest of the business intelligence market, 2.5 times as fast. IDC predicts investing in this end-user self-service will become
a requirement for all enterprises by 2018.
2. Spending on cloud-based big data and analytics solutions will grow three times as fast as spending for on-premise solutions over the next five years.
3. There will be a shortage of skilled staff. By 2018, IDC predicts there will be 181,000 analytics roles, and five times as many roles requiring skills in data management and interpretation.
4. A unified data platform architecture will become the base for big data analytics strategy, uniting information management, analysis and search technology.
5. In 2015, there will be a surge in applications that incorporate advanced and predictive analytics, growing 65 percent faster than apps without predictive functionality.
6. IDC predicts 100 percent of large organizations will purchase external data by 2019, and more organizations will begin to monetize their data.
7. Increasingly, organizations will adopt technology to continuously analyze streams of events in 2015.
8. Over the next four years, decision management platforms will grow at a compound annual growth rate of 60 percent, filling the need for increased consistency in decision making and knowledge retention.
9. Rich media analytics, such as video, audio and image, will grow at least three times its size in 2015 and will position itself as a key driver for big data analytics technology investment.
10. Cognitive computing will continue to grow, as half of all consumers will interact with services based on cognitive computing by 2018, predicts IDC.
"Leading organizations are changing how they measure their operations, interactions with customers and resource allocations," said Dan Vesset, program vice president for business analytics and big data research. "Faster access to more relevant data and constant experimentation is creating a further gap between leaders and the rest of the organizations. It is also creating new challenges for IT and business leaders tasked with their organization's big data and analytics strategy and execution."
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