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CRM, Success, and Best Practices: A Wake Up Call Part One: Searching and Establishing the Business Parameters of CRM
Customer relationship management is a sophisticated set of customer-facing tools; however, its technology has outpaced the management strategy used to implement

statistical definitions  Experience has shown and statistical research verifies that success comes when senior management is directing the effort with the right level of leadership. If the industry wants to reduce the road kill of failed projects and help user organizations get on track, it needs to adopt a new set of best practices that will lead to economic success and prosperity for the industry. This article is part of a two part series that will define the framework and rationale for such a set of best practices. This is Read More...
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Documents related to » statistical definitions


Reliability Driven Maintenance--Closing the CMMS
The metric of plant maintenance should now be in the ability of the plant to meet the strategic goals of the company beyond customarily expected cost savings

statistical definitions  on nondestructive testing and statistical analysis, used to predict when required maintenance should be scheduled. Predictive maintenance typically leverages indirect maintenance activities (e.g., condition monitoring), whereas preventive maintenance tends to focus on direct activities (e.g., cleaning, lubrication, replacement, repairs, etc.). The RCM concept is based upon determining how assets fail, why each failure type occurs, and the symptoms that indicate potential failure. Understanding failures Read More...
Measuring the Business Value of IT
Many organizations do a poor job of measuring the business value of their IT investments. Simple financial metrics are not good enough. But there are a number

statistical definitions  that have a known statistical validity. AIE has been in use for about 10 years to (see Figure 5): Improve cost/benefit analysis. Using mathematical models, AIE can be used to improve the cost/benefit analysis for better decisions at all levels of IT investment. Develop quality assurance measurements. Financially based quality assurance measurements can be developed to ensure that the implementation of IT decisions are effective. Strategic plan development. An IT strategic plan can be developed based on Read More...
A Definition of Data Warehousing
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

statistical definitions  usually driven by complex statistical formulas. The easiest way to distinguish data mining from the various forms of OLAP is that OLAP can only answer questions you know to ask, data mining answers questions you didn't necessarily know to ask. Data Visualization Tools: Tools that show graphical representations of data, including complex three-dimensional data pictures. The theory is that the user can see trends more effectively in this manner than when looking at complex statistical graphs. Some Read More...
Demand-driven Versus Traditional Materials Requirement Planning
Material requirements planning is a system that strives to plan replenishment just before a withdrawal from stock, which does not work in some manufacturing

statistical definitions  beyond historical demand, employing statistical methods to remove biases. These more complex forms of forecasting determine and predict the effect of causal or event-driven factors, and macro-economic indicators, might have on demand. To that end, recent advances in forecasting have focused on gauging the impact of pricing and promotions, product introduction and obsolescence, intermittent demand, and product proliferation, while forecasting accuracy is improved through collaborative processes that Read More...
TIBCO Spotfire Releases Version 5
TIBCO will be launching version 5 of Spotfire, its BI and analytics solution. With enhancements in its analysis engine and a newly re-architected in-memory

statistical definitions  of the most popular statistical languages in the industry. Without a doubt, BI providers are racing to develop more efficient applications to address the challenge of big data analysis, with a focus on improving in-memory mechanisms to make them significantly faster. Read More...
The PLM Program An Incremental Approach to the Strategic Value of PLM
Companies that took an early adopter approach to PLM are beginning to show significant reductions in new product introduction lead times and to benefit from

statistical definitions  PLM Program An Incremental Approach to the Strategic Value of PLM The PLM Program An Incremental Approach to the Strategic Value of PLM Featured Author - Jim Brown - December 21, 2003 Introduction Product Lifecycle Management (PLM) is a business strategy that is beginning to gain wide acceptance. Companies that took an early adopter approach to PLM are beginning to show significant reductions in new product introduction lead times and to benefit from meaningful cost savings. The results from the early Read More...
CPR on BPR: Long Live Business Process Reengineering Part 1: A Primer
Without sound business process analysis, design, and possible re-design or full-blown reengineering in place before you bring in technology, your CRM (or any IT

statistical definitions  on BPR: Long Live Business Process Reengineering Part 1: A Primer CPR on BPR: Long Live Business Process Reengineering Part 1: A Primer R. Garland - August 21, 2001 Introduction  All management and technology paradigms seem to come and go. Some make hay in the sun and retire in the shade, and some live on in other forms. On the technology side, we've had mainframe/dumb terminal computing give way to client/server computing, and now, in a back to the future way but with more color, to web-browser-based Read More...
Managing Your Supply Chain Using Microsoft Axapta: A Book Excerpt Part Four: Guidelines and Case Studies
The lack of effective game plans is typically cited as a leading cause of poor system implementation. The following guidelines provide suggestions for improving

statistical definitions  operational excellence. Case #30: Statistical Forecasting . The Distribution company used statistical forecasting to calculate future sales demand in monthly increments based on historical data. This required historical data about previous months. In addition to shipments, the historical data included customer returns, credit memos, and selected inventory adjustments. Further refinements included the requested shipment date to give a true picture of demand patterns. Statistical forecast information was Read More...
SAS: Striving to Sustain Leadership
SAS Institute has been successful, moving beyond a business intelligence. Lately, it has lately focused on sustaining its technology leadership, expanding in

statistical definitions  applications, from geographical and statistical visualization to fraud detection and DW administration tools. Products include CRM, financial intelligence, human capital management (HCM), IT management, patent intelligence, performance management, process intelligence, risk management, scorecarding, supplier relationship management (SRM), supply chain intelligence, value chain analysis, warranty analysis, and Web analytics. SAS also provides services like consulting, technical support, and training and Read More...
Teknetix Selects InfinityQS ProFicient
InfinityQS International, Inc., a provider of real-time manufacturing intelligence (MI) and enterprise quality software, today announced that Teknetix, Inc. has

statistical definitions  implement process control and statistical process control (SPC) methodologies to improve product quality. Based in Parkersburg, West Virginia, with a 60,000-square-foot facility, Teknetix is a provider of assembly services to the mid-volume, high-mix original equipment manufacturer (OEM) electronic manufacturing market. InfinityQS’ enterprise quality hub, ProFicient, is powered by a centralized SPC engine. The manufacturing quality software, which can be deployed on premises and in the cloud, also Read More...
Why Most Balanced Scorecards are Subverted
Business and IT managers have failed to get at the root cause of Balanced Scorecard ineffectiveness. Getting the most from corporate data will continue to be

statistical definitions  Most Balanced Scorecards are Subverted Business Management Issue The 'Balanced Scorecard' has been a popular seminar attraction and hot topic in corporate boardrooms for years. Why all the buzz? Quite simply as Tom Peters puts it,' what gets measured gets done.' The Balanced Scorecard, according to Harvard Business School professor Robert Kaplan, translates a company's vision and strategy into a coherent set of performance measures. The four perspectives of the scorecard - financial measures, customer Read More...
CMMS Templates for Effective Implementations Part Two: The CMMS Industry and ERP
The implementation of an enterprise level system is a tumultuous event with far reaching consequences throughout an organization. Therefore we can see the

statistical definitions  Templates for Effective Implementations Part Two: The CMMS Industry and ERP The CMMS in Industry The CMMS industry is divided into various styles of system providers, all of which are defined within the book CMMS: A Timesaving Implementation Process . For the requirements of this position paper we will only be speaking about the two main types. Those are ERP (Enterprise Resource Planning) and EAM (Enterprise Asset Management) style systems. Figure 1. This is Part Two of a three-part article that is bas Read More...
The Complex Handling of Complexity in Decision Support Systems
Warren Weaver, an American mathematician known for his work on machine translation and his support for science in the United States, defined the complexity of a

statistical definitions  only using probabilistic and statistical methods to model the real system. By the contrary, in an organized complexity there are a limited number of parts. Correlations between these parts can be treated using specific structured methods like optimization algorithms to model or simulate the behavior of these correlations. No matter the type of complexity you have to deal with, business organizations apply specific methods and tools to model business processes and solve specific day-to-day issues (making t Read More...

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