Ovum foretells of a maturing BI and analytics market that will enable more proactive and real-time decision making
Growth in BI and analytics will continue strongly in 2014, driven by fundamental changes in how enterprises are using information to make business decisions. This is according to Ovum’s Business Intelligence 2014 Trends-to-Watch report*, which foretells of a shift from a heavily IT-vested query, analysis, and reporting capability, to a more proactive and real-time decision tool for business users, which will impact on how both large and small organizations implement and spend on data initiatives.
Business Intelligence 2014 Trends-to-Watch:
- In 2014, enterprises will increasingly shift away from data reporting to data discovery, enabled through self-service access and ad hoc interaction with data.
- Mobile BI will boost BI adoption, and the emergence of mobile development and management platforms will expand the range and popularity of mobile BI applications.
- BI in the cloud will continue as a growing trend among enterprises looking to reduce the cost and complexity of deployment.
- The notion of a “logical data warehouse architecture” will continue to grow in importance.
- BI and analytics will continue to become more tightly coupled.
- Big Data processing frameworks will increasingly be factored into BI architectures.
- Collaborative BI is more hype than reality.
Fredrik Tunvall, information management analyst at Ovum, says: “BI and analytics remain a top-priority technology for CIOs to help companies boost revenues, improve customer service, or control costs, by making better decisions, faster. More interestingly, BI and analytics are finding a new generation of sponsors in otherwise uncharted territory, such as in the office of the CMO, who are looking to make informed decisions based on data and rigid analysis with little involvement of IT. In 2014, this will continue to favor vendors who can cater tools to this new audience with self-service, visually compelling, mobile, and sometimes cloud-based solutions.
“At the backend, in-memory databases and appliances, NoSQL technologies such as Hadoop, and new underlying data architectures as the “logical data warehouse” will help enterprises process, analyze, and access growing data sets, both in terms of size and variation.
“In 2014, it will be imperative for enterprises to ensure their BI workers acquire the necessary skillsets – via education, talent acquisition, and outsourcing – to take advantage of newer and better front- and back-end technologies to improve the depth, accessibility, and effectiveness of BI implementations in their organization.”