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Displaying results 1-20 of 20 results
For Vendor Strategy Professionals
by Holger Kisker, Ph.D., October 23, 2009
Business intelligence (BI) software is the tip of the application software pyramid. Pure functionality, no matter how sophisticated, is no longer sufficient to successfully support the changing business requirements of today. BI provides business guidance . . .
For Information & Knowledge Management Professionals
by Leslie Owens, October 22, 2009
Customers, employees, and competitors critique products and plans in increasingly public places, like Twitter and discussion forums. It's not just idle chatter. When Forrester asked how much consumers trust specific types of content, online ratings and . . .
For Business Process & Applications Professionals
by James G. Kobielus, Boris Evelson, Leslie Owens, August 18, 2009
Enterprise strategic, tactical, and operational decision-makers want to understand past and present activity but also anticipate the future to avoid being blindsided by seemingly hidden events. How do companies build a competitive "crystal ball"? They . . .
For Business Process & Applications Professionals
by Boris Evelson, August 6, 2009
This set of data charts examines BI adoption trends from Forrester's recent Enterprise And SMB Software Survey, North America And Europe, Q4 2008.
For Business Process & Applications Professionals
by Rob Karel, Leslie Owens, January 14, 2009
The information that powers your business — like a sales forecast or voice of the customer analysis — mixes data (such as inventory counts) and content (such as promotional strategies). Enterprises rarely store such data and content in the same place . . .
For Technology Product Management & Marketing Professionals
by Merv Adrian, August 12, 2008
Forrester receives more than 20,000 inquiries per year that provide a view of the most pressing issues our clients are facing. Since early 2007, nearly 1,000 inquiries have dealt with business intelligence (BI), data warehousing, and related topics. Frequently . . .
For Business Process & Applications Professionals
by Matthew Brown, Boris Evelson, May 31, 2007
Business Objects announced its intent to acquire Inxight Software this week — officially validating the convergence of business intelligence applications that rely on both structured and unstructured information. Business intelligence vendors are known . . .
For Information & Knowledge Management Professionals
by Rob Karel, Craig Le Clair, January 10, 2007
Is unstructured data ready to take a seat at the table? It's fast becoming a first class citizen with information and data managers who recognize the limitations of relying solely on structured data from relational databases, data warehouses, business . . .
by Laura Ramos, January 6, 2006
Bowing to regulatory mandate, pharmaceutical manufacturers manage unstructured information — narrative and images typically found outside relational stores — as an obligatory expense. But as the risk of regulatory and legal challenges increase, pharma . . .
For Information & Knowledge Management Professionals
by Laurie M. Orlov, Laura Ramos, May 12, 2004
By 2007, a new organic information abstraction (OIA) layer will emerge to connect separate environments of data, content, and text. OIA will provide a set of services and metadata that harness insight from these assets — without complex and brittle customization. . . .
For Information & Knowledge Management Professionals
by Robert Markham, September 11, 2003
These are early days for technology that provides semantic relationships between structured and unstructured content. This should not dissuade businesses from looking for specific high-value use cases for the application of these technologies.
by Lou Agosta, December 18, 2002
Progress with leveraging unstructured data for business intelligence purposes will finally occur when metadata is harnessed to structure the data for purposes of customer service, supply chain logistics and related business imperatives.
by Keith Gile, November 26, 2002
Before companies chase after the technologies to combine structured and unstructured data, first establish that there is the need, quantify the expected gains, and understand the limitations of the technology.
For Information & Knowledge Management Professionals
by Laura Ramos, November 15, 2002
Instead of focusing on the mechanics of indexing content and using rules or statistical approaches to refine results, a new breed of technology requests more information from users and uses this to decide which source has the most relevant "answer."
For Information & Knowledge Management Professionals
by Laura Ramos, June 7, 2002
For Information & Knowledge Management Professionals
by Laura Ramos, May 8, 2002
Organizations integrating business processes into portals should use taxonomies and site navigation to link unstructured content (e.g., best practices, FAQ, historical information, conceptually-related documents, etc.) to business process.
For Information & Knowledge Management Professionals
by Claire Schooley, May 7, 2002
Consider developing content that can be deployed as reusable learning objects for multiple settings. This added layer of authoring complexity will pay off in most cases in terms of costs, development time and learning effectiveness.
For Business Process & Applications Professionals
by John Ragsdale, May 6, 2002
Unstructured data allows technical support or help desk representatives to circumnavigate the ROI for knowledgebase tools, and help desk managers should proactively work with agents to define appropriate rules for using unstructured data sources.
For Information & Knowledge Management Professionals
by Connie Moore, Robert Markham, April 5, 2002
The enterprise content management market will materialize during the next six months, as the discrete document management, Web content management and digital asset management markets continue to converge.
For Information & Knowledge Management Professionals
by Daniel W. Rasmus, June 4, 2001
Visualization products will be essential knowledge-worker tools beginning in 2002 as information-consumer sophistication increases, information volume rises and metadata becomes more available through automated content tagging tools and metadata catalogs.
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