Predictive Analytics; the Future of Business Intelligence

by Mukhles Zaman ... Its features include the wide selection of predictive modeling, clustering, classification and exploratory techniques made available in one software platform. ... http:/.../ResearchHighlights/BusinessIntelligence/2005/11/research_notes/TU_BI_XMZ_11_08_05_1.asp - 28k - 2005-11-08 Summary: Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

Predictive Analytics; the Future of Business Intelligence

by Mukhles Zaman ... Its features include the wide selection of predictive modeling, clustering, classification and exploratory techniques made available in one software platform. ... http:/.../ResearchHighlights/BusinessIntelligence/2005/12/research_notes/TU_BI_XMZ_12_24_05_1.asp - 28k - 2005-12-24 Summary: Business intelligence (BI) is evolving as it grows in popularity. Within BI, there is a shift from traditional analytics to predictive analytics, and predictive analytics is emerging as a distinct new software sector.

Analyse This

by Kevin Ramesan ... accounts, inventory, supply, and transactions through support of ease of usage of traditional and cutting edge scientific predictive modeling techniques. ... http:/.../Research/ResearchHighlights/Erp/2003/07/research_notes/TU_ER_KR_07_23_03_1.asp - 14k - 2003-07-23 Summary: Enterprise applications have long been providing the means for businesses to collect required data and deliver it to the right people. Now that sales and marketing professionals are empowered with the right tools to better serve their customers and gather insights on all customers' interactions, the ques

Using Predictive Analytics within Business Intelligence: A Primer

by TEC Analysts ... In predictive modeling, data is collected, a statistical model is ... if scenarios and using predictive models, the use of these techniques within performance ... http:/.../ResearchHighlights/BusinessIntelligence/2006/06/research_notes/TU_BI_TA_06_15_06_1.asp - 17k - 2006-06-15 Summary: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

SAS: Striving to Sustain Leadership

by P.J. Jakovljevic ... recognition, statistical, and mathematical techniques on large ... combining visual business modeling with advanced ... It provides predictive, accurate, and relevant ... http:/.../Research/ResearchHighlights/CRM/2005/08/research_notes/VN_CR_PJ_08_10_05_1.asp - 23k - 2005-08-10 Summary: SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in some vertical markets, and becoming more attentive to the low-end market.

Should Uniqueness Vouch For Marketing Automation Niche Players?

by P.J. Jakovljevic ... Techniques Workshop to offer expertise, tips and techniques on how to ... Incorporating Predictive Modeling to use companies' current data to show how to ... http:/.../Research/ResearchHighlights/Crm/2003/06/news_analysis/NA_CR_PJ_06_28_03_1.asp - 29k - 2003-06-28 Summary: Unica's possibly unique set of broad and astute functional footprint and geographic coverage, easily-deployable product with proven quick payback may prove the fact that the marketing automation point providers with a differentiating value proposition and with immaculate execution may prevail the onslaug

JDA Portfolio: For the Retail Industry Part Three: JDA Portfolio ...

by P.J. Jakovljevic ... Optimization solutions are predictive and descriptive mathematical modeling applications that ... of data mining, analytic, and clustering techniques. ... http:/.../Research/ResearchHighlights/Erp/2004/12/research_notes/PN_ER_PJ_12_29_04_1.asp - 21k - 2004-12-29 Summary: With its new business model, JDA plans to build upon the broadening collective JDA Portfolio product lines to enable its customers to achieve a new level of operational excellence.

Do We Already Know Whether You re Going To Read This Article?

by D. Geller ... uses statistical and machine-learning techniques to analyze ... creating an initial set of predictive models, designing ... we assess the 'lift' of our modeling and/or ... http:/.../Research/ResearchHighlights/eCommerce/2000/05/news_analysis/NA_EC_DPG_05_24_00_1.asp - 8k - 2000-05-24 Summary: SLP InfoWare announced a product that can predict which of an ISP s customers are likely to leave.

FRx Poised to Permeate Many More General Ledgers Part Three ...

by P.J. Jakovljevic ... economic assumptions) and thus more predictive of the ... results back into the business modeling process for ... variety of existing tools and techniques can lay ... http:/.../Research/ResearchHighlights/Erp/2003/12/research_notes/PN_ER_PJ_12_05_03_1.asp - 19k - 2003-12-05 Summary: While there is an opportunity for FRx to become a main pillar within the entire Microsoft BI product strategy, there is not yet an overall cohesive BI/CPM strategy or architecture to guide the product plans to an integrated BI solution set.

Are Sales Incentives Even In Tune With the Corporate Strategy?

by P.J. Jakovljevic ... dishonest, yet commonly used, techniques that can ... Such predictive analysis and forecasting capabilities ... to reprogram, with no modeling capabilities, incentive ... http:/.../Research/ResearchHighlights/HumanResources/2006/11/research_notes/MN_HR_PJ_11_28_06_1.asp - 18k - 2006-11-28 Summary: With sales being the lifeblood of virtually any company, selling should be an accurately accountable process forming the basis of overall strategic objectives. Still, the question remains: how much enterprise incentive management (EIM) do enterprises need, and in what form?