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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

data interpretation  as anomalies in the data values that renders a wrong representation in: Sales order processing and reporting Manufacturing and logistics Administration, e.g keep track of employees and customers Business processes, e.g. using customer address lists for direct mailings, using unique item identification for processing orders Analysis and interpretation to support decision making and generate new information and knowledge Why is this an issue now when data has been around since the beginning of the company? Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data interpretation


Sales and Operations Planning Part One: Identifying and Forecasting Demand
An effective sales and operations planning game plan results in fewer stock-outs, shorter delivery lead-times, higher on-time shipping percentages, a manageable

data interpretation  set of sales forecast data for use by planning calculations. Component Forecast Demand A component forecast defines an estimated demand for a stocked component, expressed as a quantity, date, and location. A component forecast is different from a sales forecast. A sales order for an end-item does not consume the component forecast, so that a different type of forecast consumption logic must be used to avoid doubled-up requirements. In this case, the creation of a purchase order, production order, Read More...
A Product Note: Attensity and the Voice of the Customer
Attensity has found a way to truly capture the voice of the customer with its new breed of customer experience management (CEM) solutions. TEC analyst Jorge

data interpretation  as well as real-time data collection and interpretation to provide insights in a timely fashion. Applying software technology to more languages, particularly those not based on the Latin alphabet, and to the types of languages used by groups of people with specific interests (e.g., children’s conversations on social media channels are very different from those of adults). According to the survey Customer Experience: Why IT Can’t Stand Still from the Customer Solutions Group, the top three Read More...
Security Begins on Your Desktop
The documents, spreadsheets, databases and other files on the personal computers used to conduct business are corporate assets. It cost money to create them

data interpretation  over client and corporate data to satisfy contracts? Laws? The enterprise runs on data, and not all of it is in the repositories that are managed directly by the information technology departments. Studies have shown that less than 20% of the data used to run a company resides in its mainframe systems. Older studies showed that more than 50% resided in unstructured formats in file cabinets and the remainder was stored in personal files. Today, the personal computer has assumed the role of personal and Read More...
17 Rules of the Road for Customer Relationship Management
Customer relationship management (CRM) is more than a product@it’s a philosophy. That’s why, when it comes to CRM systems, it’s important to understand all the

data interpretation  that links post-sale collections data to campaign type? Keep the communication channels open after rollout and keep your CRM solution rolling along. Equally important, never overlook the power of CRM to self-monitor. Set up metrics that the system can track and always be sure that you are, in fact, increasing customer satisfaction, shortening sales cycles, improving efficiency, winning customers from the competition, increasing profitability per customer, and boosting bottom-line sales. About Sage Read More...
ESG - Riverbed Whitewater: Optimizing Data Protection to the Cloud
Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed

data interpretation  - Riverbed Whitewater: Optimizing Data Protection to the Cloud Riverbed Whitewater leverages WAN optimization technology to provide a complete data protection service to the cloud. The appliance-based solution is designed to integrate seamlessly with existing backup technologies and cloud storage provider APIs. Read this ESG Lab report on hands-on testing of the Riverbed Whitewater appliance for ease of use, cost-effective recoverability, data assurance, and performance and scalability. Read More...
Data Migration Best Practices
Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce

data interpretation  Migration Best Practices Large-scale data migrations can be challenging, but with the appropriate planning—and through careful execution of that plan—organizations can greatly reduce the risks and costs associated with these projects. This paper offers a handy checklist of issues to consider before, during, and after migration. Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data interpretation  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
Don't Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

data interpretation  Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Read More...
Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company

data interpretation  Approach to Data Quality ROI Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI. Read More...
Meet PCI DSS Compliance Requirements for Test Data with Data Masking
Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a

data interpretation  Compliance Requirements for Test Data with Data Masking Whether you’re working toward your first or your next payment card industry (PCI) data security standard (DSS) audit, you know compliance is measured on a sliding scale. But full compliance can’t be achieved with just one policy or technology. Using data masking, a technology that alters sensitive information while preserving realism, production data can be eliminated from testing and development environments. 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

data interpretation  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 information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI 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

data interpretation  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 organizations seek to store and analyze greater levels of transaction details, as well as Web- and machine-generated data, to gain a better understanding of customer behavior and drivers. This report examines the rise of big data and the use of analytics to mine that data. Read More...
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

data interpretation  Their Own Way with Data Warehousing Alliance 2000 Event Summary REDMOND, Wash., Nov. 30 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) today announced that 47 applications and tools from 39 top vendors throughout the industry have qualified for Microsoft Data Warehousing Alliance 2000. Alliance members and partners are committed to delivering tools and applications based on the Microsoft Data Warehousing Framework 2000, an open architecture for building business intelligence and analytical applications Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data interpretation  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Read More...

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