For Business Process & Applications Professionals

Latest BI Adoption Trends - Still Ripe In Opportunities Across Regions, Company Sizes, And Industries  (566 KB PPT)

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

Mighty Mashups: Do-It-Yourself Business Intelligence For The New Economy

by James G. Kobielus, July 23, 2009

Enterprise business intelligence (BI) professionals face severe resource constraints, and the soft economy keeps budgets tight. One consequence is a lengthening queue of user requests to develop and revise reports, dashboards, cubes, and other analytic . . .

For Business Process & Applications Professionals

Case Study: Queensland Police Service Executes GIS By The Book

by Elisse Gaynor, Sharyn Leaver, August 12, 2008

Faced with disparate policing systems, corresponding silos of data, and degraded data quality, Australia's Queensland Police Service (QPS) launched a large-scale police records management and analysis overhaul to revive its police operational, tactical, . . .

For Technology Product Management & Marketing Professionals

Inquiry Insights: Business Intelligence, Q3 2008

What Customers Need To Hear About M&A, Text Mining, And Widespread Enterprise Utilization

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 . . .

A Picture Is Worth A Thousand Data Points

by Matthew Brown, Colin Teubner, July 12, 2006

Most visualization tools assume that users are either Xbox gamers or Ph.D.s. Between these extremes are mainstream business users underserved by basic charts and graphs. Even twinkling executive dashboards that use speedometers, stoplights, and gas gauges . . .

Active Data Visualization Turns Image Into Interface

by Philip Russom, March 25, 2004

Unlike static pie and bar charts, active data visualization (ADV) enables multiple levels of interaction between visualization, user, data content, and form of presentation. Since the user can interact directly with a visualization — instead of merely . . .

Visual Technology Delivers Enterprise Visibility

by Manuel Ángel Méndez, David Metcalfe, May 30, 2003

Firms are adopting visual technology from vendors like Silicon Graphics, Inc. (SGI), to achieve faster, more profitable business decisions. Large multinationals will switch to high-speed networks, outsourcing their data mining workload to specialized . . .

For Business Process & Applications Professionals

Comparing the Leading CPD Vendors on Shared Visualization Functionality

by Erica Driver, March 21, 2002

A evaluation of a collaborative product development solution's shared visualization capabilities should be viewed as just a small piece of the total evaluation. Evaluate CPD solutions on this and other functional areas and vendor viability.

For Information & Knowledge Management Professionals

Visualization Tools Key to Exploring Unstructured Content

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.

Market Overview: Data Visualization Tools The Vendor Landscape

by Annette Borba, April 13, 2001

Offerings from stand-alone data visualization vendors are the most mature and will remain the most mature visualization products on the market in the next 18 to 24 months. Market consolidation will result in the emergence of clear market leaders.

Visual Mining Helps 'Chart-Enable' Web Applications

by Annette Borba, March 30, 2001

Visual Mining offerings are well suited for organizations that want to simplify the process of data analysis through data visualization, and hence extend the reach of analytics to a broader audience.

Criteria to Consider When Evaluating Data Visualization Tools

by Annette Borba, March 28, 2001

Overall, some of the important evaluation criteria to consider when purchasing a data visualization tool include the following: the type of data sources accessed, visualization capabilities provided, usability and scalability.

SAS/INSIGHT Provides Insight Into Statistical Data

by Annette Borba, March 28, 2001

Organizations that have standardized on SAS decision-support software and would like to extend the reach of analytics to a broader audience by deploying a graphical approach to data analysis should consider investing in SAS/INSIGHT.

Thinkmap Technology: Transforming Static Information Into an Animated Display for Data Analysis

by Annette Borba, March 26, 2001

Organizations that spend a lot of time seeking interconnected information among their business data and want to move away from conventional methods of displaying interrelated information should consider investing in Thinkmap technology.

Data Visualization Market: The Vendor Landscape

by Annette Borba, March 26, 2001

A decision to invest in a data visualization tool must be rooted in the need to solve a business problem. Failure to conduct a careful analysis of an organization's business requirements may result in purchasing a tool that will be rarely used.

Urban Data Solutions: Another Contender in Spatial Information Management Space

by Annette Borba, March 12, 2001

Overall, businesses that depend on an ability to understand building-specific metropolitan landscapes could benefit from SIMmentry. Giga encourages clients to qualify UDS against their toughest requirements and request references.

Interactive Data Visualization Enables Visual Data Analysis

by Annette Borba, March 2, 2001

Unlike static charts and graphs with the view-only functionality, interactive data visualization enables users to directly manipulate an information display, helping them identify and analyze trends and patterns among their business data.