The AIIM Blog
Keep your finger on the pulse of Intelligent Information Management with industry news, trends, and best practices.
The emerging picture for big data analytics suggests that there is still a very high expectation for the potential value, and overall, early adopters are achieving good results that are helping to drive decision making in the business. But despite the fact that more trained practitioners have joined the ranks, there is still a skills shortage. Plus, the tools available are still considered hard to use and somewhat expensive. The overarching theme is that many organizations are too immature in their content management, search, and basic reporting to contemplate big content projects just yet, although they are making technology decisions today with a view to a big data future. AIIM's research study, "Big Data and Content Analytics -- Measuring the ROI," sought to find out more. Below, see the five key trends from the research project.
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Analytics | Enterprise Content Management (ECM) | Enterprise Search
The term "Content Analytics" has been coined to cover a range of advanced search and content reporting technologies. In our new Industry Watch survey, we found that organizations could derive much higher business value from content analytics tools than from simple search-engines. Sophisticated content reporting across text documents and rich media file-types have created the opportunity to report and research across unstructured content, bringing the same capabilities of strategic insight and improved decision-making as Business Intelligence (BI) reporting brings to structured content.
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Making an ECM implementation successful requires planning and attention to detail. The best way to create the right solution is to identify organizational goals and priorities. Learn how to manage a successful implementation in our free guide.
