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Analytics technologies lend enterprise content management a hand
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Article
Data analytics offers records management benefits
Companies are enlisting new big data technologies to help navigate the increasingly complex world of records management. Read Now
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Article
Business intelligence improves with content analytics
By applying business intelligence and business analytics practices to enterprise information, content analytics can track the ways workers access and use content, make content more easily accessible and improve business decisions. Read Now
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Article
How to dictate a smart Web content analytics strategy
Companies need to look beyond basic data such as page views and measure the engagement of their audience. Read Now
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Article
Attivio democratizes data analytics
The latest release of Attivio's Active Intelligence Engine aims to make data analytics more accessible by allowing more granular searches, thus simplifying the user experience. Read Now
Editor's note
As enterprise content proliferates and generates new formats, having the right information at the right time is becoming increasingly critical to businesses' competitive edge. Companies are turning to analytics technologies not only to reduce the risks of retaining large amounts of information but also to derive additional business value from the data.
Culling data and taking a more careful approach to the creation of content can take a slice out of the problem, but analytics technologies and practices are becoming more important in understanding enterprise content in a way that can increase productivity, enhance customer relationships, boost sales and even generate new product ideas.
As enterprise employees search through large volumes of content to find the information they need to do their jobs, customers outside company walls expect a new level of content accessibility and engagement. Now, social media data has added to the complexity, prompting organizations to wonder how much they should invest in monitoring and analyzing the unstructured data on social media platforms.
Through methods like text mining and sentiment analysis, companies can monitor the unstructured data from social platforms. But these formats pose new challenges in terms of how to parse the data and find meaning. Social conversations are full of slang and nuance that straightforward monitoring and analysis may miss, making the data less valuable.
In general, analyzing data in an accurate, meaningful way isn't easy -- and not every enterprise can afford to hire a data scientist. Fortunately, emerging tools may begin to level the playing field by making data analytics simple enough for business users.
Below, check out our Essential Guide on issues related to using analytics for enterprise content management.
1SharePoint analytics
SharePoint 2013 now provides analytics capabilities that can improve content management and boost business intelligence by providing insight into user trends both internally and externally. But despite the new features, the challenge for enterprises still lies in correctly analyzing and using the data.
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Podcast
Better BI through SharePoint analytics
SharePoint analytics provides insight into user trends and preferences, but it is important to take the right perspective when analyzing the data Listen Now
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Article
SharePoint analytics empowers decision-makers
With more mature analytics features, SharePoint 2013 can support real-time decision making, but making sense of this data is the challenge. Read Now
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Article
Could SharePoint big data analytics become a reality?
Organizations are questioning whether SharePoint -- which has historically not supported complex analytics -- now wields the power to provide meaningful insights on big data. Read Now
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Article
SharePoint analytics for public-facing sites
SharePoint 2013 can give an enterprise insights not only on its internal content and users, but the ways people access and use its external content as well. Read Now
2Videos related to enterprise content analytics
Check out SearchContentManagement's video interviews with experts on using analytics to improve information management.
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Video
Knowing when to cleanse dirty data
With the analysis of unstructured data from social media platforms becoming more important to enterprises, an expert weighs in on when it is appropriate to clean up the raw information. Watch Now
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Video
The smarter approach to information management
Information management is becoming the competitive edge for businesses. An expert outlines the shift in how companies can use their information intelligently. Watch Now
3Important terms related to analytics and ECM
Check out the definitions below to learn more about commonly used terms related to analytics technologies and ECM and the distinctions among them.
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Definition
Content analytics
Content analytics is the act of applying business intelligence (BI) and business analytics (BA) practices to digital content. Companies use content analytics software to provide visibility into the amount of content that is being created, the nature of that content and how it is used. Read Now
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Definition
Text mining
Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. Read Now
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Definition
Predictive analytics
Predictive analytics is a form of advanced analytics that uses both new and historical data to forecast activity, behavior and trends. Read Now
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Definition
Social media analytics
Social media analytics is the practice of gathering data from social media websites and analyzing that data using social media analytics tools to make business decisions. Read Now
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Definition
Big data analytics
Big data analytics is the often complex process of examining large and varied data sets, or big data, to uncover information -- such as hidden patterns, unknown correlations, market trends and customer preferences -- that can help organizations make informed business decisions. Read Now
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Definition
Business analytics
Business analytics (BA) is the iterative, methodical exploration of an organization's data, with an emphasis on statistical analysis. Business analytics is used by companies that are committed to making data-driven decisions. Read Now