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Documents related to » forecast accuracy data scm


Identifying the ROI of a Software Application for SCM Part 3: Performing the Data Analysis
By using software tools that help you forecast and work together with others inside your organization, and even with your customers, the forecasts may become

forecast accuracy data scm  schedule changes due to forecast errors by that amount. Research average WIP and reduce that by the same factor. Put a procedure in place to track premium shipments that are paid by your company by reason code. Take the premium freight that is caused by bad forecasts to the bottom line. Then, since you made an assumption that forecasts could be 50% more accurate, you will need to perform some sensitivity analysis. Vary the 50% and see what the results tell you. This kind of simulation model can be Read More
A Tale of a Few Good SCM Players - Part 3
Part 1 of this blog post series followed the progress of Manhattan Associates from its inception in 1990 throughout the mid-2000s. During this time, Manhattan

forecast accuracy data scm  in inventory, improvement in forecast accuracy, improvement in asset utilization, reduction in freight costs, and so on and so forth. One of the key success factors is to ensure that these solutions, while loosely coupled, can still tie back into a broader SCM vision and platform that that enables changes to business processes and takes advantage of changes. What’s behind JDA’s Renaissance? This brings us to JDA Software , which posted a record year in 2008, had record quarters in 2009, and Read More
SmartOps Steps Out in to the Cloud SCM
SmartOps Corporation is a quiet provider of supply chain planning (SCP) solutions that right-size inventory and capture more sales (by way of managing demand

forecast accuracy data scm  demand patterns to increase forecast accuracy at the level of granularity required for supply chain planning and execution. EDS is designed to work with demand signals within the enterprise as well as external signals such as downstream point of sale (POS) data contained in Demand Signal Repositories (DSR). The offering helps improve performance of traditional time-series based forecasting systems that focus on historical information but ignore current demand signals. With embedded analytics and scenario Read More
SAP SCM-Stepping Out of Obscurity
Major new SAP products are being released in the realms of supply chain management (SCM), manufacturing execution systems (MES), and product lifecycle

forecast accuracy data scm  intelligence (i.e., forecast error, forecast bias, and intermittency). On the side of supply chain intelligence, there are the mean lead-time, in-transit inventory, order processing/goods receipt, and lead-time variability factors. Finally, production variability comes from the mean schedule attainment and schedule attainment variability factors. Based on scalable Oracle ’s Java Enterprise Edition (J2EE) architecture, SAP’s EIO offering is synchronized with either SAP ERP or SAP APO transactional Read More
Identifying the ROI of a Software Application for SCM Part 1: We Need To Know Now
If you are not experiencing organizational stress in some of the areas where the benefits may occur, then perhaps a decision to invest in supply chain

forecast accuracy data scm  look for an exact forecast of return on investment (ROI) from the purchase of a supply chain management application. At least four very real challenges make such perfect information elusive. Commonly, executives meet these challenges with responses that are not carefully considered. The challenges and the corresponding reactionary refrains are as follows: Limited time exists to perform analysis - We need to know now! Business analysis skills are lacking - We are looking for the vendor to tell us! The Read More
Optimizing Gross Margin over Continously Cleansed Data
Imperfect product data can erode your gross margin, frustrate both your customers and your employees, and slow new sales opportunities. The proven safeguards

forecast accuracy data scm  product data,product data analyst,product data base,product data feed,product data file,product data information,product data mastering,product data services,product data solutions,product data specialist Read More
Managing Small Data Centers: A Short Guide to Running Secure and Resilient Data Centers for Mid-sized Businesses
To keep your growing business competitive, your data center must be secure, protected against disaster, and available 24 hours a day, 7 days a week. But if

forecast accuracy data scm   Read More
Informatica PowerCenter 5 Enables Enterprise Data Integration
Informatica Corporation’s Informatica PowerCenter 5 is a platform for integrating data to be deployed in e-Business applications, analytic applications and data

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Microsoft Goes Their Own Way with Data Warehousing Alliance 2000
Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 vendors throughout the industry have qualified for Microsoft« Data

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Metagenix Reverse Engineers Data Into Information
Metagenix’ MetaRecon reverse engineers metadata information by examining the raw data contained in the source(s) rather than depending on the data dictionaries

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Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing

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Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

forecast accuracy data scm   Read More
Big Data Analytics: Profiling the Use of Analytical Platforms in User Organizations
While terabytes used to be synonymous with big data warehouses, now it’s petabytes, and the rate of growth in data volumes continues to escalate as

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Addressing the Complexities of Remote Data Protection
As companies expand operations into new markets, the percentage of total corporate data in remote offices is increasing. Remote offices have unique backup and

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Data Visualization: When Data Speaks Business
For many organizations, data visualization is a practice that involves not only specific tools but also key techniques, procedures, and rules. The objective is

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