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Software Functionality Revealed in Detail
We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.
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 data warehousing information center etl

Software Functionality Revealed in Detail

We’ve opened the hood on every major category of enterprise software. Learn about thousands of features and functions, and how enterprise software really works.

Get free sample report
Compare Software Solutions

Visit the TEC store to compare leading software by functionality, so that you can make accurate and informed software purchasing decisions.

Compare Now

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 types of activities that these providers perform include data center operations; network operations; backup/recovery services, data storage management services; system administration services; end user support of desktop PCs, laptops, and handheld devices; web site, or application hosting, etc.  

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Documents related to » data warehousing information center etl

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.

data warehousing information center etl  for Business Intelligence and Data Warehousing Information The Data Warehousing Institute ( TDWI ) hosts its quarterly World Conference in cities across the US to help organizations involved in data warehousing, business intelligence (BI), and performance management, by giving them access to industry experts, and providing impartial classes related to topics pertinent to the industry. As the industry grows, organizations are faced with questions about how to best access their data to drive profits and Read More

What Good Is Information If Nobody Sees It?


Keeping detailed historical information is a great idea in theory, but how can it be merged with current data to enable split-second decisions? Two companies partner to solve a significant problem in e-commerce.

data warehousing information center etl  products that pull together data from all of a company''s operational data channels. They recently announced a suite of products, collectively called Ecometry, which help online retailers collect and manage a wide range of customer and transaction data. The goal is to provide a single view of the customer data. Ecometry is XML-based and uses client-side (i.e., browser based) Java in its user interface. There is, however, more to a business than its operational data. Useful historical data can be found in 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.

data warehousing information center etl  it with ease. About Data Warehousing The Data Warehouse module addresses functionality for providing data, as well as the software infrastructure for deploying, integrating, and storing data from different sources in a unique information repository. This module thus refers to the system''s ability to perform major data warehouse functions: dimensional modeling, data-related functions, etc. There is also a submodule that defines product support for these types of operations. SAP BusinessObjects Edge BI Read More

Developing a Universal Approach to Cleansing Customer and Product Data


Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

data warehousing information center etl  July 1998. The Data Warehousing Institute (TDWI) > estimates that poor quality customer data costs U.S. businesses a staggering $611 billion a year in postage, printing, and staff overhead. – Wayne W. Eckerson, Data Quality and the Bottom Line, TDWI Report Series, 2002. More recent articles show the situation has not improved: Poor data quality costs the typical company at least 10% of revenue; 20% is probably a better estimate. – Thomas C. Redman, Data: An Unfolding Quality Disaster, DM 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

data warehousing information center etl  than 20 years in data warehousing and data management. CBIP Master. Worked for and in government agencies around the world, including FAA, FDA, USDA, CMS (Center for Medicare/Medicaid), DoD, and others. Also worked for many commercial organizations, including AAA , Nike , Washington Mutual, Expedia , Pepsi Bottling Company, JP Morgan Chase , and others. Experience in petabyte (PB)-sized systems design and architecture, performance and tuning, and data architecture. Taught at DAMA , TDWI , and Informatica 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.

data warehousing information center etl  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

Fundamentals of Managing the Data Center Life Cycle for Owners


Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and offers practical advice to facility owners and management.

data warehousing information center etl  of Managing the Data Center Life Cycle for Owners Just as good genes do not guarantee health and well-being, a good design alone does not ensure a data center is well built and will remain efficient and available over the course of its life span. For each phase of the data center’s life cycle, proper care and action must be taken to continuously meet the business needs of the facility. This paper describes the five phases of the data center life cycle, identifies key tasks and pitfalls, and Read More

The Integrated Information Management Infrastructure: The Business Value of the Best-of-Suite Approach


Overlooking how an application fits into your overall IT landscape can lead to costly implementations. But addressing data management with middleware solutions that work seamlessly with existing applications in your company’s IT environment can lead to significant benefits. Explore the value of technology decisions that support and maintain infrastructure-wide interoperability with regard to your data management solutions.

data warehousing information center etl  costly implementations. But addressing data management with middleware solutions that work seamlessly with existing applications in your company’s IT environment can lead to significant benefits. Explore the value of technology decisions that support and maintain infrastructure-wide interoperability with regard to your data management solutions. Read More

Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management


Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset.

data warehousing information center etl  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More

Data Center Projects: Project Management


In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined responsibilities for every manager, tight coordination among suppliers, well-defined procedures for managing change, and consistent terminology. Learn how enforcing these requirements can help your company achieve an efficient process with a predictable outcome.

data warehousing information center etl  leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Read More

Best Practices for Improving Performance in Your Contact Center


Discover the top six approaches to a high-performing contact center in the executive brief, Best Practices for Improving Performance in Your Contac...

data warehousing information center etl  best practices improving performance contact center,best,practices,improving,performance,contact,center,practices improving performance contact center,best improving performance contact center,best practices performance contact center,best practices improving contact center. 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 warehousing information center etl  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

2013 Big Data Opportunities Survey


While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses and a discussion of the results.

data warehousing information center etl  Big Data Opportunities Survey While big companies such as Google, Facebook, eBay, and Yahoo! were the first to harness the analytic power of big data, organizations of all sizes and industry groups are now leveraging big data. A survey of 304 data managers and professionals was conducted by Unisphere Research in April 2013 to assess the enterprise big data landscape, the types of big data initiatives being invested in by companies today, and big data challenges. Read this report for survey responses Read More

Aligning Information Technology with Corporate Strategy


Aligning information technology (IT) with corporate strategy is key to maximizing the business impact of IT investments. Tree Top's structured process of reviewing proposed IT investments will allow an enterprise to understand this alignment, and prioritize investments.

data warehousing information center etl  markets, locations, and financial data—for example, the allocation of labor to various business processes (meaning how many person-days or person-hours went into the creation of the monthly forecast). Taking as a starting point the statement of corporate objectives delivered by Tom Stokes, the tool suggested potential operational and financial key performance indicators that would measure the effort of achieving the objectives. For example, it suggested that customer service be measured by perfect Read More

RAPid Data Analytics Platform


RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions.

data warehousing information center etl  Data Analytics Platform RAPid Data Analytics Platform is a business intelligence (BI) platform that combines data management and analytics in a single, cloud-based environment for smarter, faster, more insightful business decisions. Read More