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SAP Support of the Health Care Supply Chain’s Ongoing Effort to Ensure Patient Safety and Drive Business Value
Electronic product code information services (EPCIS) is a standard mechanism for inter-company collaboration and data sharing, which can enable health care

outliers in statistical data  serialized objects are tracked, outliers can be specifically identified, and the causes of unacceptable variances can be traced back to the source. For example, one company has used serialized product tracking to identify products in a warehouse that were not shipped according to strict First Expire, First Out sequence. By identifying the serial numbers involved, the company was able to determine exactly what happened, and correct a flaw in their business process. A third class of opportunities Read More

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Documents related to » outliers in statistical data


Pricing and Revenue Optimization: A Manufacturing Perspective
Pricing and revenue optimization is the process of improving business margins by either increasing unit prices or increasing gross revenues. This type of

outliers in statistical data  attributes to shrink data outliers to average values and then use crosselasticity to tweak prices among similar products. This helps in a demand shift to higher net profit items. However, these pricing practices, while mathematically sound, depend on the visibility of store-level activity-based costing at the item level, which most retailers are hard pressed to identify. B. Application in a B2B Environment The more tiers in a supply chain, the more complex the optimization requirement is. The airline, Read More
Applications Giants Bolster Their Pricing Management Capabilities
Previously price management was an overlooked area by vendors because they lacked the native capabilities to meet this need. However, through partnerships and

outliers in statistical data  the focus, and any outliers are eliminated. To that end, the module can manage multiple price lists, set analysis-driven prices and policies, perform mass price updates, maintain pricing policies, export prices to ERP systems, create Microsoft Excel -based price books, route price and policy change requests, etc. Another important factor is that SAP PMM can handle mass price updates to SAP. Consequently, many customers have reportedly gotten significant payback from improving billing accuracy. Last but Read More
Business-to-business Price Segmentation-Outlined and Explained
The central premise of price segmentation, especially in business-to-business environments, is that pricing should be consistent for similar deals. The process

outliers in statistical data  detailed view of profitability, outliers, and trends at a granular level provides an actionable view of relative pricing and profitability, and allows pricing decision makers to more quickly and easily identify business areas that are ripe for pricing improvement. Once a company has an understanding of what is happening in the marketplace, the company has the foundation on which to set prices and discount policies. Prices and policies should be established to achieve specific objectives (that is, to Read More
Know Thy Market Segment's Price Response
Since no variable can influence margins as much as pricing, almost all companies need to approach the management of selling prices, discretionary discounts, and

outliers in statistical data  only highlight grossly unprofitable outliers that are well below the price segment median, but it should also identify the much more common case in which prices and margins could have been slightly higher. It is typical to find that in total, these underpriced transactions have reduced realizable margins by 10 to 20 percent, or more. Information is likely the most powerful negotiating tool available, since giving salespeople contextual price recommendations (with reasonable space to maneuver) based on Read More
Data Warehousing in the Big Data Era: Are You BIReady?
Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary

outliers in statistical data  Warehousing in the Big Data Era: Are You BIReady? Netherlands-based BIReady automates the process of designing, deploying, and maintaining a data warehousing solution, allowing the optimization of all necessary BI and analytics tasks. Read this TEC product note from TEC senior BI and data management analyst Jorge Garcia to learn more about how BIReady is meeting its goal of helping companies become BI ready. Read More
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

outliers in statistical data  Reverse Engineers Data Into Information Metagenix Reverse Engineers Data Into Information M. Reed - February 15, 2001 Event Summary Metagenix, Inc. has designed its flagship product, MetaRecon to, as they put it, Decipher Your Data Genome . The product reverse engineers all of the metadata ( data about data ) from data sources and generates information that is very helpful to developers in designing specifications for a new data store, and assists greatly in preparing for cleansing and Read More
Enterprise Data Management: Migration without Migraines
Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an

outliers in statistical data  Data Management: Migration without Migraines Moving an organization’s critical data from a legacy system promises numerous benefits, but only if the migration is handled correctly. In practice, it takes an understanding of the entire ERP data lifecycle combined with industry-specific experience, knowledge, and skills to drive the process through the required steps accurately, efficiently, and in the right order. Read this white paper to learn more. Read More
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

outliers in statistical data  Management and Business Performance: Part 1-Data Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a business intelligence (BI) solution. Two topics resounded: the use of BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable Read More
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

outliers in statistical data  Data: The Importance of Data Quality in Business Intelligence Originally Published - October 20, 2008 The zeal to get as much business data to the user as soon as possible often prevails over the establishment of processes that control the quality of data. Low data quality standards can lead to bad business decisions and missed opportunities. Even with a data warehouse that is well designed and equipped with the best tools for business intelligence (BI), users will encounter inefficiency and frus Read More
Fatal Flaws in ERP Software Create Opportunity for Niche Software in CPG Companies
ERP software may fail to meet critical business requirements. When companies find that their ERP doesn't meet all of their business requirements, they should

outliers in statistical data  Flaws in ERP Software Create Opportunity for Niche Software in CPG Companies Fatal Flaws in ERP Software Create Opportunity for Niche Software in CPG Companies Featured Author - Bill Friend* - April 24, 2004 Overview After companies purchase an enterprise resource planning (ERP) system they may discover that the ERP software fails to provide all of the functionality their business requires. These shortfalls have been characterized as fatal flaws . If a company uncovers a fatal flaw in their ERP Read More
The Value of Big Data
As the use of big data grows, the need for data management will also grow. Many organizations already struggle to manage existing data. Big data adds complexity

outliers in statistical data  big data,data management,analytics,SAP Read More
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

outliers in statistical data  data visualization, IBM Cognos Business Intelligence, business intelligence, data delivery, data visualization best practices Read More
Four Critical Success Factors to Cleansing Data
Quality data in the supply chain is essential in when information is automated and shared with internal and external customers. Dirty data is a huge impediment

outliers in statistical data  Critical Success Factors to Cleansing Data Four Critical Success Factors to Cleansing Data If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Read More
Scalable Data Quality: A Seven-step Plan for Any Size Organization
Every record that fails to meet standards of quality can lead to lost revenue or unnecessary costs. A well-executed data quality initiative isn’t difficult, but

outliers in statistical data  Data Quality: A Seven-step Plan for Any Size Organization Melissa Data’s Data Quality Suite operates like a data quality firewall – instantly verifying, cleaning, and standardizing your contact data at point of entry, before it enters your database. Source : Melissa Data Resources Related to Scalable Data Quality: A Seven-step Plan for Any Size Organization : Data quality (Wikipedia) Scalable Data Quality: A Seven-step Plan for Any Size Organization Data Quality is also known as : Customer Read More

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