Enterprise Information Management in 2013: 7 Top Predictions
Here are seven emerging areas of EIM that are anticipated to make big waves in 2013.
High on the International Institute for Analytics predictions for 2013 is the expansion of analytics from newly aggregated data as a competitive differentiator. Especially in customer-facing industries, IIA expects far more personalization of product-driven analytics in the year ahead. In addition, IIA and its president, Tom Davenport, expect a slew of buyouts, mergers and die-offs in the big data startup space.
Across its view of the changing boundary-free enterprise, Saugatuck analyst Mike West blogged that he sees a big step by enterprises in 2013 toward loosely-coupled business suites in the cloud. West wrote: The center of Cloud solution buyer demand will continue to shift toward functional suites over best-of-breed solutions, especially with the increasing focus on core systems of record but yesteryears single-vendor, monolithic architectures is a thing of the past.
Nucleus Research raised some eyebrows with its prediction of the watershed year for business intelligence in 2013. Nucleus Principal Analyst Hyoun Park said the rationale rests in the maturity of analytic systems as well as as-a-service-based options. More than that, Park said the C-suite is finding that nearly all business decisions can be data-based.
Although the market for application development and deployment software may only carry single-digit growth for the next few years, it shows some particular bright spots in the adoption of relational database management systems and integration implementations, according to IDC. More generally, applications development spending will fall in line with hyped up promises of connections to enterprise mobility, social networks, big data analytics and cloud computing, the research firm stated.
Forrester Research analyst Boris Evelson has been skeptical of the actual integration capabilities for open source big data frameworks like Hadoop across enterprise BI. However, he foresees more mission-critical BI functions connecting with big data frameworks as use expands in the year to come.
The importance of software-defined networks will continue its enterprise ascent into 2013, rising in parallel with more virtual data centers and hybrid cloud adoption, according to Gartner Research VP David Cappuccio. These shifts show the true massive shift underway with enterprise intake of cloud options and virtualization, Gartner states.
No one expected attacks on enterprise data to go away. But many IT departments should gird their businesses for a very specific range of threats in 2013, according to Kroll Advisory Solutions. Threats coming to the fore in 2013 include hidden or forgotten data sets, the dissolution of nondisclosure and attacks from hackers more interested in anarchy than detailed information.
Sign up for info-mgmt.coms regular newsletters for industry news, strategy and tutorials.
All photos used with permission from ThinkStock.
The end of the year brought on the typical flurry of forecasts on various fields in enterprise information management systems and practices. Weve boiled down some of the top predictions for the coming year in cloud computing, analytics, big data and more from leading experts.
Best NoSQL Database Software Products
6 Machine Learning Giants to Watch: Amazon to Salesforce.com
Top 10 Internet of Things (IoT) Cities
10 IT Security Books for Big Data Scientists
15 Summer Must-Reads for IT & Business Leaders
Gartner’s Top 10 Mobile Technologies for 2016
8 Data Science Job and Career Skills
10 Steps for Cloud Business Intelligence Success