SurveySurprisingly few companies are trying to build community among employees through social tools, and those do are not impressed: Towers Watson survey

Information Management's DM RadioWhat goes around, sure does come around, even in the field of information management. Way before big data or data science, the earlier renditions of insight-oriented software focused on knowledge management and document management. Today, as organizations look to complete their picture of enterprise risks and opportunities, the old practices of KM and DM are back in action. Register for this episode of DM Radio to hear hosts Eric Kavanagh and Justin Kern interview Gene Leganza of Forrester Research, as well as David Cornwell of PleaseTech and Kimberly Samuelson of Laserfiche.

BlogFive principles for better organizational use of analytics

Data visualization is the practice that makes your analytics and info come to life. But even with data viz vendors taking on Wall Street and getting praise as the lost art of data management, there may not be such a clear picture when it comes to which visualization specialists are giving the practice a new look.

FeatureLearn the best practices of experienced analytics and BI professionals at several major firms to ensure that your analytics projects start off on the right foot.

Data are an organization's sole, non-depletable, non-degrading, durable asset. Engineered right, data's value increases over time because the added dimensions of time, geography, and precision. To achieve data's full organizational value, there must be dedicated individual to leverage data as assets - a Chief Data Officer or CDO who's three job pillars are: -Dedication solely to leveraging data assets, -Unconstrained by an IT project mindset, and -Reports directly to the business Once these three pillars are set into place, organizations can leverage their data assets. Data possesses properties worthy of additional investment. Many existing CDOs are fatally crippled, however, because they lack one or more of these three pillars. Often organizations have some or all pillars already in place but are not operating in a coordinated manner. The overall objective of this book is to present these pillars in an understandable way, why each is necessary (but insufficient), and what do to about it. -Uncovers that almost all organizations need sophisticated, comprehensive data management education and strategies. -Delivery of organization-wide data success requires a highly focused, full time Chief Data Officer. -Engineers organization-wide data advantage which enables success in the marketplace

Interview10 Minutes with Peter Aiken on the differences between the CDO, CIO and IT, and how businesses should reframe their data management practices and leadership
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studyIT must communicate how more-effective business platforms can deliver applications that are "top of mind" for the CFO

FeatureRecognizing the value of social data sources and leveraging them to deliver value is a relatively new challenge for many organizations
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BlogIs there a quiet minority opting out of the smartphone tether?
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FeatureHistory has taught us that it’s difficult to achieve long-term success when completely offshoring BI development. Outsourcing work can be very effective, but it’s crucial to fully understand the strengths, weaknesses and costs of going down what could be a very rocky road

NewsTrading under “DATA” symbol, analytics and viz vendor rings opening bell on IPO day and finishes at $50.75 per share, far above early estimates

Gartner’s analysis of the Business Intelligence and Analytics market is the most anticipated and highly respected in the industry. Many industry observers believe that some organizations will only consider software vendors that appear on the Gartner Magic Quadrant. That's because Gartner information is based on detailed customer surveys, interviews and Gartner's own research. In addition to the detailed analysis of vendors, Gartner also reviews major market and industry trends.

In this independent report, David White of the Aberdeen Group discusses how adding agile BI provides a self-service solution that helps both business stakeholders and IT achieve their goals.