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Energizing Utilities for the Economic Stimulus Plan: Strategies for Greater Efficiency and Sustainability
For years, utilities have seen a growing need to enable a smarter electric grid, promote cleaner power sources, and replace aging structures. These issues came

data cleaner  demands. AMI requirements for data management and realtime information exchange call for improved communication and collaboration between customer and utility. It also requires far greater interoperability of systems within the utility’s IT landscape and across enterprise boundaries. Further Changes Energy markets throughout North America, Europe, Australia, and elsewhere are changing in response to legislative mandates and market pressures to conserve resources, protect customers, and increase 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 cleaner


IP Telephony 101: The Utter Beginner’s Guide
Telephony. Sounds harmless enough.First, a definition from Merriam-Webster: “the use or operation of an apparatus (as a telephone) for transmission of

data cleaner  protocol used for communicating data across a packet-switched internetwork.” This is where I like to play a little game I like to call “ignore-all-the-words-I-don’t-understand,” which leaves me with this: “The Internet… is… used for communicating data…” Nice. So I did some research (see white papers above). It turns out to be rather simple: IP telephony allows you to make phone calls over the Internet—including long-distance phone calls. Which brings us straight to... ... the Pros and Read More...
A New Platform to Battle Software Bloat?
Lawson has unveiled a new standards-based business applications platform designed to increase overall application quality and improve the product lifecycle

data cleaner  them share the same data repository as clients' existing Lawson applications. This means that the existing customers would need to only perform an upgrade, not a migration or new implementation. Landmark Based on a service-oriented architecture (SOA, for more information and background, see Understanding SOA, Web Services, BPM, BPEL, and More ), Landmark is designed to enable Lawson and its clients to relatively quickly and easily modify and customize business processes to accommodate specific business Read More...
Why don’t the Potential Benefits of Spend Analysis Come Easily?


data cleaner  tools focus on historical data analytics such as  online analytical processing (OLAP)  analysis and other “slice-and-dice” and “drill-down (and/or up)” tools where users typically evaluate large volumes of historic data. As a result, traditional BI solutions have been associated with OLAP cubes,  data warehouses (DWs) ,  data marts (DMs) , and other centralized and aggregated data stores. Needless to say, these massive data stores are pre-defined and have rigid (static)  database schemas , Read More...
PTC Live Global 2013: All About Design for “Servitization” —Part One
This was my third time attending the PTC Live Global (formerly PlanetPTC Live) conference, and by now I can say with some conviction that, compared to its large

data cleaner  interaction, diagnostics, and service data capture, with additional value delivered through enhancements.” In other words, traditional mechanical products are no longer just mechanical—they are electronic and software products as well. Someone witty recently said that “car tires’ purpose is to prevent the computer from hitting the road and being damaged.” Perhaps a manual vacuum cleaner is not yet utilizing software for better performance, but many other simple home appliances have lots of Read More...
The Advantages of Row- and Rack-oriented Cooling Architectures for Data Centers
The traditional room-oriented approach to data center cooling has limitations in next-generation data centers. Next-generation data centers must adapt to

data cleaner  Rack-oriented Cooling Architectures for Data Centers The Advantages of Row and Rack-Oriented Cooling Architectures for Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More...
Thinking Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio
Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the

data cleaner  Radically about Data Warehousing and Big Data: Interview with Roger Gaskell, CTO of Kognitio Managing data—particularly in large numbers—still is and probably will be the number one priority for many organizations in the upcoming years. Many of the traditional ways to store and analyze large amounts of data are being replaced with new technologies and methodologies to manage the new volume, complexity, and analysis requirements. These include new ways of developing data warehousing, the Read More...
The Path to Healthy Data Governance
Many companies are finally treating their data with all the necessary data quality processes, but they also need to align their data with a more complex

data cleaner  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary 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

data cleaner  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...
Achieving a Successful Data Migration
The data migration phase can consume up to 40 percent of the budget for an application implementation or upgrade. Without separate metrics for migration, data

data cleaner  a Successful Data Migration Achieving a Successful Data Migration If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. Informatica's data migration solution decreases the risk and minimizes the errors inherent in data migration projects. At the same time, our solution reduces the costs of data migration projects by automating processes, improving business-IT collaboration, and incorporating proven best practices. Source : Read More...
Data Pro Accounting Software
Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the

data cleaner  Pro Accounting Software Data Pro Accounting Software, Inc., privately owned, is based in St. Petersburg, Florida and was originally incorporated in June of 1985. The goal of the corporation has always been to develop and market a full line of accounting software products for a wide range of market segments, on a broad spectrum of operating systems environments such as DOS, Windows and UNIX. Read More...
A Definition of Data Warehousing
There is a great deal of confusion over the meaning of data warehousing. Simply defined, a data warehouse is a place for data, whereas data warehousing

data cleaner  Definition of Data Warehousing Biographical Information Bill Inmon Bill Inmon is universally recognized as the father of the data warehouse. He has over 26 years of database technology management experience and data warehouse design expertise, and has published 36 books and more than 350 articles in major computer journals. His books have been translated into nine languages. He is known globally for his seminars on developing data warehouses and has been a keynote speaker for every major computing 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

data cleaner  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...
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

data cleaner  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...

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