For Business Process & Applications Professionals

In-Database Analytics: The Heart Of The Predictive Enterprise

by James G. Kobielus, November 12, 2009

Visionary organizations are adopting an emerging practice known as "in-database analytics," which supports more pervasive embedding of predictive models in business processes and mission-critical applications. With in-database analytics, enterprises migrate . . .

For Vendor Strategy Professionals

Market Overview: The Business Intelligence Software Market

Advanced Analytics Will Drive Growth To $14 Billion By 2014

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 Business Process & Applications Professionals

Business Intelligence (BI) Polishes Its Crystal Ball

IBM's SPSS Deal Nudges Analytics Industry Toward Deeper Predictive Focus

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 Customer Intelligence Professionals

SMB Marketing Technology Adoption

Findings From Our Q3 2008 Direct And Database Marketing Panel Data

by Suresh Vittal, May 22, 2009

Forrester surveyed 224 direct marketers in Q3 2008 about their technology adoption plans. This report drills into the technology adoption trends of our small and medium-size business (SMB) respondents. SMB marketers continue to pursue improvements to . . .

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 . . .

For Business Process & Applications Professionals

Really Urgent Analytics: The Sweet Spot For Real-Time Data Warehousing

by James G. Kobielus, August 11, 2008

While information and knowledge management (I&KM) professionals occasionally demonstrate returns on their real-time data warehousing investments, most business intelligence (BI) architectures continue to rely on enterprise data warehouses (EDWs) as . . .

SAS Strong In Advanced Analytics, Data Access For BI Reporting And Analysis Platforms

The Forrester Wave™ Vendor Summary, Q1 2006

by Keith Gile, February 8, 2006

SAS's SAS9 BI v9.1.3 provides a solid business intelligence (BI) product for analytic reporting, but has clear limitations in enterprise reporting. The product provides comprehensive data access to most RDBMSes and MDDBs, along with mainframes and legacy . . .

The Forrester Wave™: BI Reporting And Analysis Platforms, Q1 2006

Business Objects And Cognos Lead In Our Product Evaluation

by Keith Gile, February 8, 2006

Forrester evaluated 10 leading business intelligence (BI), database, and application vendors across 92 criteria and found Business Objects has established early BI platform leadership, followed by Cognos. Hyperion, MicroStrategy, and SAS offer strong . . .

Beyond Conventions: Virtual Election Machinery Comes Into Focus

by Laurie M. Orlov, September 10, 2004

Trying to avoid another election like the 2000 close call, the US political parties and political action groups now have technology parity — combining online lists, data mining, and issue-oriented Web sites to help them obtain and sustain committed voters. . . .

Is Demzilla The Technology Recipe For Democrats' Success In November?

by Laurie M. Orlov, Lou Agosta, Keith Gile, August 4, 2004

The Democratic Convention is over — Boston has survived. But the big push for votes in November has barely begun. The Democratic National Committee is pulling out all the data warehouse and data mining stops to influence the outcome of the 2004 election. . . .

The Future Of Data Mining - Predictive Analytics

by Lou Agosta, Laurie M. Orlov, Ryan Hudson, November 21, 2003

Confused messages from vendors about data mining, coupled with hyperbole in the press about a new BI gold rush, have resulted in project disappointment and failed expectations. The future of data mining lies in predictive analytics.

Data Mining is Dead - Long Live Predictive Analytics!

by Lou Agosta, October 30, 2003

Data mining was challenged by tough economic times, but it died of disappointed expectations. After a perfect storm of bad economic news, data mining is regrouping around predictive analytics, with more modest expectations and improved technologies.

Data Mining Market Consolidation Offers Lessons Learned

by Lou Agosta, October 27, 2003

The consolidation in the data mining (predictive analytics) market during the past two years has been merciless. The market is in the process of transitioning from data mining to predictive analytics.

Innovations and Results in Predictive Analytics: IBM DB2 Intelligent Miner

by Lou Agosta, October 24, 2003

IBM Intelligent has been rearchitected to support in database predictive modeling and related functions. The consequences for clients include bringing predictive analytics to the data rather than moving the data to the analytic processor.

The Future of Data Mining - Predictive Analytics

by Lou Agosta, October 17, 2003

Market Overview: From Data Mining to Predictive Analytics

by Lou Agosta, October 17, 2003

The data mining market will gradually be transformed over the next three years to predictive analytics. The size of the market for data mining will pass the billion dollar mark, including software and services.

Data Warehousing First Half 2003: Data Mining and Data Quality Developments

by Lou Agosta, July 31, 2003

In spite of the economic challenges of the current economy, the TDWI/Giga Research Survey has surfaced indications of an improving business climate — expected spending increases are in the range of 1 percent to 5 percent for data mining and data quality.

Desktop Data Mining Shows Surprising Strength With Practitioners

by Lou Agosta, June 3, 2003

Data mining technology is on the critical path to adding predicative, forward-looking capabilities to analytic applications supporting understanding customer behavior and product dynamics in the market.

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 . . .

BI Platform Shootout

by Nate L. Root, Joshua Walker, Joseph Volpe, May 9, 2003

Vendors promote business intelligence platforms as the miracle cure for firms' fragmented analytical strategies. In reality, most BI platforms still fall short on user tools and data mining features.

The Uses and Abuses of Data Mining: Mass Dataveillance

by Lou Agosta, April 8, 2003

The controversy around data mining technology surfaced again in Congressional testimony on March 26 as Rep. Tom Davis said over-regulating the government's use of data mining could stifle its potential as a weapon against terrorists.

The Return of Artificial Intelligence: Data Mining

by Lou Agosta, September 11, 2002

Today, instead of developing a computer system with a general problem-solving capability, which is too vague to be precisely programmed, traction has been made in commercial business contexts by attacking specific problem areas.

SAS Joins Leadership of XML for Analysis — Don't Expect the Standard Anytime Soon

by Keith Gile, May 30, 2002

The inclusion of SAS on the leadership team distributes the intellectual requirement beyond just OLAP and more significantly, beyond Microsoft and Hyperion. The ultimate success will be dependent on how well SAS works with the other data mining vendors.

Data Mining Powerhouse HNC Acquired by Fair, Isaac and Company

by Lou Agosta, May 3, 2002

Fair, Isaac and Company's aquisition of HNC, a premier fraud detection software provider, consolidates data mining expertise and intellectual property with its complex scoring models and will result in offering advanced credit-scoring systems.

HNC Gets an Upgrade

by Lou Agosta, January 15, 2002

Clients and potential clients for HNC's software and applications should find its subscription software license model more attractive in a down economy with its attendant budget crunches than the so-called perpetual license model.