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"Content Management Meets Text Analytics"

Fri, 01 May 2009 04:00:00 +-500

By Dr. Fern Halper

Sponsored by EMC

Content management systems are a treasure trove of information since there is a significant amount of insight that can be derived from this unstructured data.

Information is the lifeblood of any company. While organizations have made significant progress in analyzing their structured data (such as sales figures and number of complaints), the reality is that most company information is unstructured. This unstructured information includes claims, contracts, patents, call center notes, clinical trial records, and survey responses, which are often stored in enterprise content management systems. Content management systems are a treasure trove of information since there is a significant amount of insight that can be derived from this unstructured data. The flip side of this is that there is so much enterprise information that a knowledge worker (e.g. a product manager, marketing manager) can quickly become overwhelmed and not make the best use of it.

"From Business Intelligence to Business Optimization"

Wed, 01 Apr 2009 04:00:00 +-500

Authors

Dr. Fern Halper, Partner

Robin Bloor, Partner

Sponsored by IBM

The road to increased business benefit

Companies run on information. And in today’s dynamic and changing market, businesses
need trusted and actionable information more than ever. In order to be successful,
businesses must maximize their information assets to capture new opportunities and
remain competitive. What does a company need in order to do this?

"The Killer App for Multicore"

Mon, 01 Dec 2008 05:00:00 +-500

By Robin Bloor, Partner

Sponsored by Greenplum

Why the era of parallel database is upon us

It was over 40 years ago that Gordon Moore of Intel suggested that, as chip design
progressed, “the number of transistors that would fit onto an integrated circuit would double every year.” A few years later, in the 1970s, he adjusted his conjecture and got it exactly right, saying that the doubling would occur every 18 months. Moore neither suggested nor believed that this exponential growth in computer power would persist for 40 whole years, but it did.

"Expanding the Boundaries of Enterprise Content Management Systems"

Wed, 01 Oct 2008 04:00:00 +-500

By Dr. Fern Halper, Partner

Sponsored by IBM

Content Analytics: Delivering Improved Business Insight and Performance

The technology needed to implement an information management strategy will provide access to and analysis of systems data and the vast amount of unstructured data or “content” sitting in content repositories.

'The Analysis and Resolution of Identity"

Mon, 10 Dec 2007 05:00:00 +-500

Authors: Dr. Fern Halper, Partner

Robin Bloor, Partner

Sponsored by IBM

Why there is a need, and how it works When is it important to ascertain a unique, dependable and conclusive identity? In many circumstances, when identity information is used, it isn’t important. If you sell goods or services to someone then the primary interest is that they pay. If payment is guaranteed then the actual identity of the buyer is not too important. You may gather a great deal of information about the buyer’s activities so you can analyze sales history and behavior, to better predict what they might buy in the future, but even then the buyer’s identity is important primarily to enable data gathering and manage the relationship.

"Creating a Holistic Master Data Management Strategy: a Practical Approach"

Sat, 01 Sep 2007 04:00:00 +-500

Authors Judith Hurwitz, President & CEO

Marcia Kaufman, Partner

The Need for Master Data Management (MDM)

How often and in how many different ways does the same piece of data get used in your organization? Take something as basic as a customer’s name and address. One version of this information will appear on the purchase order, shipping notice, and the invoice. Yet another version of the customer’s name and address will show up in customer support and call center systems when the customer calls with a question or problem. If a customer buys other products or becomes a customer of other business units, this information will typically be stored in additional systems.

Sponsored by IBM

"Dynamic Warehousing and Beyond"

Sat, 01 Sep 2007 04:00:00 +-500

Authors

Dr. Fern Halper, Partner

Robin Bloor, Partner

Driving Business Value through End-to-End Analytics

Business Intelligence can be defined as “the provision of timely and relevant
information to the business from the data gathered by operational systems or
available from external sources.” The goal of BI is ultimately to help an
organization use information to become more successful. As time has passed,
more and more BI capabilities have emerged and, looking forward, it is possible to
conceive of BI not as a complement to operational systems, but as capabilities
woven into the fabric of each business process. We can think of it as the critical
feedback loop for the business, which allows the business to alter its plans and
tactics in flight.

Sponsored by IBM

"Using Data Models to Maximize the Value of Your Data Warehouse"

Fri, 01 Jun 2007 04:00:00 +-500

Authors Dr. Fern Halper, Partner

Marcia Kaufman, Partner

Judith Hurwitz President & CEO

Sponsored by IBM

The typical IT organization often has trouble understanding the data requirements from a business unit as well as the ovall corporate context.

Because of the dramatic changes in the financial services industry, companies are looking for technologies that help them streamline their business processes and systems, and leverage their business information across the organization. Hurwitz & Associates reviewed IBM’s approach to leveraging data models to accelerate successful data warehouse deployments. In-depth interviews with customers of IBM’s Insurance and Banking Data Models provided the basis for this research. The companies interviewed found tangible and business benefits using the IBM technology. Key findings included:

"Leveraging Information for Innovation and Competitive Advantage"

Tue, 01 May 2007 04:00:00 +-500

Authors

Judith Hurwitz, President & CEO

Marcia Kaufman, Partner

The Challenges of Leveraging Information
Organizations will be increasingly driven to take a holistic approach to leveraging all their relevant information – structured and unstructured – to face their information challenges. Just assembling, managing, processing and securing large volumes of data is very challenging. The task is made more difficult when there is a need to access and integrate information, often replicated with different degrees of accuracy, from different domains to support improved decision making. Among the challenges that organizations face when they set out to leverage their information, the following are particularly important to overcome:

Keywords: Sponsored by IBM

"Information as a Service: IBM Information Server"

Fri, 01 Dec 2006 05:00:00 +-500

Author

Judith Hurwitz, President & CEO

The lack of a single view of the customer across the various lines of business can lead to missed opportunities for the business and dissatisfied customers.

When two companies merge, inconsistencies in data and data definitions often become more obvious and more troubling to the business. The management team often discovers that integrating data across the data stores of the newly merged companies results in misinterpretations of the combined data base. For example, if the definition of a customer varies between the companies, it becomes very hard to determine, without a lot of manual intervention, which customers are likely to generate the most revenue or which customers may present some type of risk to the business. The lack of a single view of the customer across the various lines of business can lead to missed opportunities for the business and dissatisfied customers.

Keywords: Sponsored by IBM