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Outsourcing, IT Infrastructure
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...
 

 data interpretation


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?

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Radio Frequency Identification (RFID) RFI/RFP Template

Tags and Data Storage Devices, Readers, Interrogation Equipment, and Printers, Wireless Hubs and Edge Servers, Application Network, Application Technology Get this template

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Outsourcing, IT Infrastructure
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...

Documents related to » data interpretation

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 benefits of an integrated application before beginning the selection process. After all, just as a chain is only as strong as its weakest link, a CRM solution is only as good as its implementation.

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

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 amount of expediting, and improved customer service. Several guidelines are suggested to improve a firm's sales and operations planning process and the effectiveness of each product's game plan. This is an excerpt from the book Managing Your Supply Chain Using Microsoft Navision.

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

Intellicus Is Now a TEC Certified Business Intelligence Solution


We are pleased to announce that the Intellicus Enterprise Reporting and Business Insights Platform is now available for online evaluation in the Business Intelligence and Data Management Evaluation Center, joining the ranks of other TEC Certified systems providing BI functionality. In a few weeks I’ll be providing a complete report on the TEC Web site to go over Intellicus’ features

data interpretation  capabilities. Intellicus’ capabilities for data visualization can greatly help users in interpretation and analysis, improving the decision-making process and leading to savings in time and money. Intellicus offers an easy-to-use application with a specific and interesting corporate approach. TEC’s IT Showcase offers a profile of Intellicus’ Enterprise Reporting and Business Insights Platform , giving a high-level analysis of how Intellicus targets its solution versus real competitors and the 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 García looks at how Attensity’s CEM products can help organizations analyze customer conversations across multiple channels, extract actionable data and insights, and route conversations for rapid and effective response, improving their customers’ experience and loyalty.

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

The Necessity of Data Warehousing


An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

data interpretation  Necessity of Data Warehousing The Necessity of Data Warehousing M. Reed - August 2, 2000 Why the market is necessary Data warehousing is an integral part of the information age . Corporations have long known that some of the keys to their future success could be gleaned from their existing data, both current and historical. Until approximately 1990, many factors made it difficult, if not impossible, to extract this data and turn it into useful information. Some examples: Data storage peripherals such 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, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value.

data interpretation  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, which will only increase the challenge. This white paper looks at what big data is, the value of big data, and new data management capabilities and processes, required to capture the promised long-term value. Read More

Six Steps to Manage Data Quality with SQL Server Integration Services


Without data that is reliable, accurate, and updated, organizations can’t confidently distribute that data across the enterprise, leading to bad business decisions. Faulty data also hinders the successful integration of data from a variety of data sources. But with a sound data quality methodology in place, you can integrate data while improving its quality and facilitate a master data management application—at low cost.

data interpretation  Steps to Manage Data Quality with SQL Server Integration Services 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 Six Steps to Manage Data Quality with SQL Server Integration Services : Data quality (Wikipedia) Six Steps to Manage Data Quality with SQL Server Integration Services Data Quality is also known as : Busin Read More

Data Masking: Strengthening Data Privacy and Security


Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you.

data interpretation  Masking: Strengthening Data Privacy and Security Many business activities require access to real production data, but there are just as many that don’t. Data masking secures enterprise data by eliminating sensitive information, while maintaining data realism and integrity. Many Fortune 500 companies have already integrated data masking technology into their payment card industry (PCI) data security standard (DSS) and other compliance programs—and so can you. 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 to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages of IBM Cognos Business Intelligence for improving the data visualization and data delivery process.

data interpretation  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 to ensure the best use of existing tools for extending discovery, gaining knowledge, and improving the decision-making process at all organizational levels. This report considers the important effects of having good data visualization practices and analyzes some of the features, functions, and advantages Read More

A Solution to Data Capture and Data Processing Challenges


Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems.

data interpretation  Solution to Data Capture and Data Processing Challenges Organizations are relying more and more on customer information to drive business processes. You probably spend a lot of time trying to make sure you get the right information to the right people at the right time—but is your data capture process as efficient as it could be? Learn about the issues surrounding data capture and data processing, and about a solution designed to help you address specific processing problems. Read More

Data Enrichment and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics


Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are accurate, trustworthy, and complete.

data interpretation  and Classification to Drive Data Reliability in Strategic Sourcing and Spend Analytics Spend analytics and performance management software can deliver valuable insights into savings opportunities and risk management. But to make confident decisions and take the right actions, you need more than just software—you also need the right data. This white paper discusses a solution to help ensure that your applications process reliable data so that your spend analyses and supplier risk assessments are Read More

Master Data Management: Extracting Value from Your Most Important Intangible Asset


In a 2006 SAP survey, 93 percent of respondents experienced data management issues during their most recent projects. The problem: many organizations believe that they are using master data, when in fact what they are relying on is data that is dispersed throughout the enterprise. Discover the importance of master data and how the ideal master data management (MDM) solution can help your business get it under control.

data interpretation  Data Management: Extracting Value from Your Most Important Intangible Asset Master Data Management: Extracting Value from Your Most Important Intangible Asset If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Founded in 1972, SAP has a rich history of innovation and growth as a true industry leader. SAP currently has sales and development locations in more than 50 countries worldwide and is listed on several exchanges, including the Read More

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization


Malicious hacking and illegal access are just a few of the reasons companies lose precious corporate data every year. As the number of network security breaches increase, companies must find ways to protect data beyond the perimeter of their businesses. But how do they build a data-defensible architecture that will protect data on an ever-evolving network? The answer: by first developing an in-depth defense strategy.

data interpretation  Data Protection Playbook: Network Security Best Practice for Protecting Your Organization Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. CipherOptics makes data protection simple. Whether you need to secure data flows over your application environment or encrypt data in motion across the network, CipherOptics makes it easy. Our 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 extract useful information, is harder still. Even so, this data deluge has great potential for good—as long as consumers, companies, and governments make the right choices about when to restrict the flow of data, and when to encourage it. Find out more.

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