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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...
 

 etl data warehousing information center

Outsourcing--IT Infrastructure RFI/RFP Template

Employee Information, IT Facility and Data Center Operation, Distributed Technology Operation, Network and Communications Service, Business Continuity and Disaster Recovery, Security, Certi... 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 » etl data warehousing information center

A One-stop Event for Business Intelligence and Data Warehousing Information


The Data Warehousing Institute (TDWI) hosts quarterly World Conferences to help organizations involved in data warehousing, business intelligence, and performance management. These conferences supply a wealth of information aimed at improving organizational decision-making, optimizing performance, and achieving business objectives.

etl data warehousing information center  extract, transform, and load (ETL) development. It is important not to underestimate the importance of data integration, as the way data is integrated into a data warehouse or BI solution is the essence of that system. If a scorecard is developed to measure an organization''s sales metrics and the source data is not accurate, the key performance indicators (KPIs) set and reported on will be meaningless. Administration and Technology The administration and technology track identified and covered topics Read More

SAP BusinessObjects Edge BI for Business Intelligence Certification Report


SAP's business intelligence solution, SAP BusinessObjects Edge BI, is now TEC Certified. The certification seal is a valuable indicator for organizations who rely on the integrity of TEC’s research services for assistance with their software selection projects. Download this 24-page TEC report for product highlights, competitive analysis, product analysis, and in-depth analyst commentary.

etl data warehousing information center  due to its powerful ETL functionality and data quality, which are provided by the SAP BusinessObjects information management solutions included in the bundle. Its comprehensive set of functionality features supports ETL and enterprise information integration (EII) services, reaching almost 90 percent of the functional criteria for both submodules. About Support Besides general BI functionality, it is important to consider other features, such as support. The Support module groups the set of features 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 are automated data cleansing, systematic management of data processes, and margin optimization. Real dollars can be reclaimed in the supply chain by making certain that every byte of product information is accurate and synchronized, internally and externally.

etl data warehousing information center  Data Product PDM | ETL Product Data | ETL Product Data Analyst | ETL Product Data Base | ETL Product Data Feed | ETL Product Data File | ETL Product Data Information | ETL Product Data Mastering | ETL Product Data Services | Read More

Thinking Radically: Interview with Dan Linstedt


To work in the software industry world it is often necessary to think radically, or “out of the box” in order to innovate, solve problems, or stay ahead of the competition. Today we start a series of interviews with some of the thinkers who are reshaping the software industry. I welcome your thoughts—please leave a comment below, and I’ll respond as soon as I can. Dan

etl data warehousing information center  project plan, the extract-transform-load (ETL) layers, etc... all the ingredients for the recipe to be successful in implementation. Because the Data Vault Methodology talks about moving the business rules downstream (pulling data from the data vault/enterprise data warehouse (EDW), transforming it, then putting it into data marts), the IT team has the best of all worlds. Because the data vault standards dictate raw but integrated by business key be loaded to the data vault model, we are now free to Read More

Best Practices for a Data Warehouse on Oracle Database 11g


Companies are recognizing the value of an enterprise data warehouse (EDW) that provides a single 360-degree view of the business. But to ensure that your EDW performs and scales well, you need to get three things right: the hardware configuration, the data model, and the data loading process. Learn how designing these three things correctly can help you scale your EDW without constantly tuning or tweaking the system.

etl data warehousing information center  via another set of ETL processes. It is in this layer data begins to take shape and it is not uncommon to have some end-user application access data from this layer especially if they are time sensitive, as data will become available here before it is transformed into the dimension / performance layer. Traditionally this layer is implemented in the Third Normal Form (3NF). Optimizing 3NF Optimizing a 3NF schema in Oracle requires the three Ps – Power, Partitioning and Parallel Execution. Power means Read More

Master Data Management and Accurate Data Matching


Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process.

etl data warehousing information center  Data Management and Accurate Data Matching Have you ever received a call from your existing long-distance phone company asking you to switch to its service and wondered why they are calling? Chances are the integrity of its data is so poor that the company has no idea who many of its customers are. The fact is, many businesses suffer from this same problem. The solution: implement a master data management (MDM) system that uses an accurate data matching process. Read More

Managing Information in the Enterprise: Perspectives for Business Leaders


Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues.

etl data warehousing information center  Information in the Enterprise: Perspectives for Business Leaders Turning piles of data into timely, actionable information dominates business and IT agendas. This new focus means companies must think strategically about information management in order to contain costs and retain their competitive advantage. It also means a greater emphasis on processes and tools used to assure data quality. Discover what business and IT executives are doing to address these data management issues. Read More

Product Information Management (PIM) Software Evaluation Report


Product information management (PIM) provides a common, central repository to manage all types of information about finished products. It integrates with back office systems and provides additional workflow management.

etl data warehousing information center   Read More

Automating Your Call Center Feedback


Almost everyone has had a bad call center experience—due to long queues, ineffective interactive voice response (IVR) systems, or an agent who doesn’t communicate well. After, the story is told over and over to friends, warning them about doing business with "that company." Are your customers saying this about your local contact center? If so, do you know why? Learn why you should update your customer feedback systems.

etl data warehousing information center  Your Call Center Feedback Our Mindshare Call Center Supervisor solution can help you measure the performance of your agents continuously so you can seize opportunities in real time to jump in and coach. They''ll appreciate the immediate feedback and feel better about their work. Source : Mindshare Technologies Resources Related to Automating Your Call Center Feedback : Call Centre (Wikipedia) Automating Your Call Center Feedback Call Center is also known as : Call Center Services , Inbound Call Read More

Data Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise


While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help.

etl data warehousing information center  Loss Prevention Best Practices: Managing Sensitive Data in the Enterprise While a great deal of attention has been given to protecting companies’ electronic assets from outside threats, organizations must now turn their attention to an equally dangerous situation: data loss from the inside. Given today’s strict regulatory standards, data loss prevention (DLP) has become one of the most critical issues facing executives. Fortunately, effective technical solutions are now available that can help. Read More

An Architect's Evaluation of Form and Function—the Dimensional Data Model


A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with.

etl data warehousing information center  Architect''s Evaluation of Form and Function—the Dimensional Data Model A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. Read More

Appliance Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever


Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility.

etl data warehousing information center  Power: Crunching Data Warehousing Workloads Faster and Cheaper than Ever Appliances are taking up permanent residence in the data warehouse (DW). The reason: they are preconfigured, support quick deployment, and accelerate online analytical processing (OLAP) queries against large, multidimensional data sets. Discover the core criteria you should use to evaluate DW appliances, including performance, functionality, flexibility, scalability, manageability, integration, and extensibility. Read More

Data Integration: Creating a Trustworthy Data Foundation for Business Intelligence


Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data.

etl data warehousing information center  Integration: Creating a Trustworthy Data Foundation for Business Intelligence Organizations combine their historical data with current data from operational systems to satisfy business intelligence analysis and government reporting requirements. This paper discusses the importance of data integration and helps you identify key challenges of integrating data. It also provides an overview of data warehousing and its variations, as well as summarizes the benefits and approaches to integrating data. Read More

Information Management For Mid-size Companies: Strategies to Get the Information You Need


Are you getting all the information you need to really understand how well your company is performing right now? How quickly do you get the information you need? Having timely and complete information allows people with good judgment to make better decisions more consistently. Know the options that can help executives in mid-size companies get the information about their businesses faster and more reliably than they can today.

etl data warehousing information center  financial forecasting,financial analysis,financial reporting,financial budgeting,bpm,business performance management,financial reporting and analysis,financial analysis report,financial reporting software,business performance management solutions,financial reporting financial statement analysis and valuation,business performance management systems,financial analysis and reporting,business performance management tools,business performance management software Read More

Data Center Automation


With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands.

etl data warehousing information center  Center Automation With the increasing complexity of the data center and its dependent systems, data center automation (DCA) is becoming a necessity. To replace the costly and inefficient human aspect of managing the data center, IT departments must adopt DCA solutions. Combined with utility-based computing architectures, these solutions can provide greater dynamics in the environment and facilitate speed of response to market demands. Read More