Using Predictive Analytics within Business Intelligence: A Primer

by TEC Analysts ... Traditional analytics can help gain insight based on past decision making, which can be ... In this case, a model which uses three predictors can be used to help ... http:/.../ResearchHighlights/BusinessIntelligence/2006/06/research_notes/TU_BI_TA_06_15_06_1.asp - 17k Summary: What are predictive analytics, and how are they used within business intelligence applications and for business performance management?

Is ERP Through SaaS Ready for Prime Time? » The TEC Blog

... make up the remaining factors in the decision making process. With regards to my write up, my point is that the SaaS model is a very compelling proposition for ... blog.technologyevaluation.com/blog/2008/04/22/is-erp-through-saas-ready-for-prime-time/ - 38k - 2008-04-22

A Possible Remedy for Non-responsive Supply Chains

by P.J. Jakovljevic ... as well as be able to instantly model the data to assess and share what-if alternatives. This ability would allow collaborative decision making to be quickly ... http:/.../Research/ResearchHighlights/SCM/2008/03/research_notes/NA_SC_PJ_03_17_08_1.asp - 14k Summary: Because the supply chains of most manufacturers have become complex, global networks, managing these systems requires enterprise applications that enable collaboration, visibility, demand-sensing, and quick response to unplanned and unexpected events. But from where will such solutions come?

Bridging the Reality Gap Between Planning and Execution Part Two ...

by P.J. Jakovljevic ... decision-making as has already been done to financial decision-making by some ... strategic planning or forecasting systems to help them forecast and model the "as ... http:/.../Research/ResearchHighlights/Scm/2004/06/research_notes/TU_SC_PJ_06_17_04_1.asp - 22k Summary: Manufacturers today need to react quickly in order to remain efficient and competitive, given that the biggest problem they face is that change is the only constant in manufacturing. For those who are lucky, only minor changes will happen between the

Managing Risks, Managing Measures: Decision Support Methodologies ...

by Edward S. Robins, PhD ... of the decision puzzle can always be incorporated into a model, but as ... has led to patented methods of decision analysis and novel decision-making processes. ... http:/.../Research/ResearchHighlights/ExecutiveView/2002/03/research_notes/MI_EV_ESR_03_01_02_1.asp - 15k Summary: Though many academic methods exist, few actually reach the audience they need to reach because of the barrier between academic and business languages, as well as the ability to produce workable and usable tools. This article summarizes what I believe are the methodologies most used in Business, and some

Business Engine: Driving Project Portfolio Management for IT ...

by Neil Stolovitsky ... with the ability to assign weighting capabilities and measurements to ideas and portfolios for strategic IT decision-making. An embedded scoring model and easy ... http:/.../ResearchHighlights/professionalServices/2006/03/research_notes/TU_SP_NS_03_24_06_1.asp - 16k Summary: Business Engine provides best-of-breed PPM functionality for internal IT departments, focusing on financial governance. For organizations seeking flexible workflow and IT governance capabilities, BEN delivers functionality in the financial services, health care, government, manufacturing, telecommunicati

The Proof Is in the ROI

by Lawson Abinanti ... Labor savings; Communication expense reduction; Improved financial decision making. ... In my opinion, creating the ROI model with all the assumptions and ... http:/.../Research/ResearchHighlights/ExecutiveView/2004/03/research_notes/MI_EV_XLA_03_30_04_1.asp - 13k Summary: A well-thought out, comprehensive ROI (return on investment) marketing and sales program is becoming a must in today's difficult business to business (B2B) software market. However, few companies seem to be investing appropriately. The first mistake they make is to try to keep costs down by attempting to

Service Supply Chain Strategies to Increase Corporate ...

by Morris Cohen ... based on rapid solution algorithms and a robust model/system architecture that ... by unplanned, reactive expediting, Risk-based decision making that incorporates ... http:/.../Research/ResearchHighlights/Scm/2004/06/research_notes/RN_SC_XMC_06_22_04_1.asp - 28k Summary: This article describes the unique challenges of the service supply chain, provides a framework for understanding the service management decision hierarchy, and highlights the dramatic value proposition available to companies that deploy advanced service strategies and decision-support tools to address th

A Definition of Data Warehousing

by M. Reed ... large amounts of data, some of which may be very difficult to recreate, the model can not ... The whole idea behind a data warehouse is to enable decision-making. ... http:/.../Research/ResearchHighlights/DataWarehousing/2002/08/research_notes/TU_DW_MFR_08_18_02_1.asp - 15k Summary: There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing describes the process of defining, populating, and using a data warehouse. Creating, populating, and querying a data warehouse typically carries an ext

Plant Intelligence as Glue for Dispersed Data?

by P.J. Jakovljevic ... Thus, these new software applications make it possible to model the cascading ... can guide them through the forking paths of exception-based, decision-making. ... http:/.../Research/ResearchHighlights/ERP/2005/12/research_notes/TU_ER_PJ_12_20_05_1.asp - 16k Summary: Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based decision-making. Not only will they be better prepared for unplanned events, but they will also know how their responses will impact the company.