Emerging technologies to drive EIM market, says Gartner
New and emerging technologies are increasingly playing a key role in shaping enterprise information management (EIM) market in 2013, according to research firm Gartner. The top technologies Gartner predicts will transform the EIM landscape include big data, semantic technologies, in-memory computing and data warehousing. At the same time, the research firm notes that the changing role of Chief Data Officer as well as other information centric roles is also having an impact on the current IM growth.
“Information is one of the four powerful forces changing the way business is done,” said Regina Casonato, managing vice president at Gartner. She states that significant innovation continues in the field of EIM technologies and practices driven by the volume, velocity and variety of information, and the huge amount of value and potential liability — locked inside all this ungoverned and underused information.”
However, the growth in information volume, velocity, variety and complexity, and new information use cases, makes EIM infinitely more difficult going forward than it has been in the past. In addition to the new internal and external sources of information, practically all information assets must be available for delivery through varied, multiple, concurrent and, in a growing number of instances, real-time channels and mobile devices. All this demands the ability to share and reuse information for multiple context delivery and use cases. More importantly, it demands new skills and roles.
Talking about big data, Gartner observes that the most important aspects of big data are the benefits that can be realized by an organization. Big data warrants innovative processing solutions for a variety of new and existing data, to provide real business benefits, but processing large volumes or wide varieties of data, remains merely a technological solution, unless it is tied to business goals and objectives.
The EIM market growth is also largely dependent on the growth of Semantic technologies that extract meaning from data, ranging from quantitative data and text, to video, voice and images. Many of these techniques have existed for years and are based on advanced statistics, data mining, machine learning and knowledge management. One reason it is garnering more interest is the renewed business requirement for monetizing information as a strategic asset, says Gartner analysts.
Data warehouse (DW) architecture is undergoing an important evolution. It is evolving from competing repository concepts, to include fully enabled data management and information processing platforms. These new warehouses force a complete rethink of how data is manipulated, and where in the architecture each type of processing occurs that supports transformation and integration.
Finally in-memory computing is an emerging paradigm, enabling enterprises to develop applications that run advanced queries on very large datasets, or perform complex transactions at least one order of magnitude faster (and in a more scalable way) than when using conventional architectures. In-memory computing opens unprecedented and partially unexplored opportunities for business innovation (for example, via real-time analysis of big data in motion) and cost reduction (for example, through database or mainframe off-loading).
The Gartner report points out that EIM requires dedicated roles and specific organizational structures. Specific roles, such as chief data officer, CIO, information architect, will be critical for meeting the goals of an EIM program. The fundamental objectives of the roles remain constant - to structure and manage information throughout its life cycle, and to better exploit it for risk reduction, efficiency and competitive advantage. The enterprises that are moving first to create these roles, and to train for them, will be the first to benefit from information exploitation.
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