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Documents related to » it protecting data


Protecting Exchange Environments from Spam
Spam has become a global epidemic. And because it is constantly evolving and mutating, spam makes it difficult to separate good e-mails from the bad. While most mail servers have mechanisms to combat spam, they often require third party solutions to eradicate spam from the network. Find out more about the shortcomings of established filtering methods, and how one community-based approach to filtering can work.

IT PROTECTING DATA: and mutating, spam makes it difficult to separate good e-mails from the bad. While most mail servers have mechanisms to combat spam, they often require third party solutions to eradicate spam from the network. Find out more about the shortcomings of established filtering methods, and how one community-based approach to filtering can work. Protecting Exchange Environments from Spam style= border-width:0px; />   comments powered by Disqus Related Topics:   Security,   Access Control,   Content
11/21/2007 3:47:00 AM

Four Critical Success Factors to Cleansing Data
Four Critical Success Factors to Cleansing Data. Find Guides, Case Studies, and Other Resources Linked to 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 to businesses. In this article, learn about the four critical success factors to clean data: 1- scope, 2- team, 3- process, and 4- technology.

IT PROTECTING DATA: Chain Data- Dont let it be your weakest link! ” with Alcon Laboratories at the TCU Global Supply Chain conference in April 2005 there were a flurry of questions from the attendees. While the presentation was mainly focused on the value of quality data in the supply chain and in todays automated mass sharing of information with internal and external customers, we had several questions including: Why is data important now, it has been around forever? There aren t enough internal resources but how could
1/14/2006 9:29:00 AM

Future-proof Your Test Assets: Protecting Against Obsolescence
When vendors sunset test automation scripting tools without providing a forward compatible path for replacement, companies are forced to pay for change with no benefit. Most enterprise business processes span both old and new applications, and cannot be effectively tested without changing tools. Companies need to create a future-proof strategy for assuring that these costs never have to be repeated.

IT PROTECTING DATA: Source: Worksoft Document Type: White Paper Description: When vendors sunset test automation scripting tools without providing a forward compatible path for replacement, companies are forced to pay for change with no benefit. Most enterprise business processes span both old and new applications, and cannot be effectively tested without changing tools. Companies need to create a future-proof strategy for assuring that these costs never have to be repeated. Future-proof Your Test Assets: Protecting Against
3/6/2006 11:42:00 AM

Data Quality: A Survival Guide for Marketing
Data Quality: a Survival Guide for Marketing. Find Free Blueprint and Other Solutions to Define Your Project In Relation To Data Quality. The success of direct marketing, measured in terms of qualified leads that generate sales, depends on accurately identifying prospects. Ensuring data accuracy and data quality can be a big challenge if you have up to 10 million prospect records in your customer relationship management (CRM) system. How can you ensure you select the right prospects? Find out how an enterprise information management (EIM) system can help.

IT PROTECTING DATA: On-Demand Service Bureaus Tying It All Together About Business Objects EXECUTIVE SUMMARY Direct marketing is about communicating a message to a specific prospect or customer. The success of that communication, measured in terms of a qualified lead that generates a sale, depends on accurately identifying the prospect. Once you’ve identified the prospect, you need to contact and convince them your message is worth their time. There is nothing like misspelling their name, using the wrong title, mailing to
6/1/2009 5:02:00 PM

The New Virtual Data Centre
Old-style, one application per physical server data centers are not only nearing the end of their useful lives, but are also becoming barriers to a business’ future success. Virtualization has come to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward.

IT PROTECTING DATA: to the foreground, yet it also creates headaches for data center and facilities managers. Read about aspects of creating a strategy for a flexible and effective data center aimed to carry your business forward. The New Virtual Data Centre style= border-width:0px; />   comments powered by Disqus Related Topics:   Business Intelligence and Data Management,   Database Management System (DBMS),   IT Infrastructure and Development,   Data Center Equipment,   IT Monitoring and Management Related Indust
2/3/2011 8:58:00 AM

The Why of Data Collection
Data collection systems work; however, they require a investment in technology. Before the investment can be justified, we need to understand why a data collection system may be preferable to people with clipboards.

IT PROTECTING DATA: In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data acquisition. Examples of data collection include time and attendance devices, bar code scanning, radio frequency identification (RFID), and sensor based devices such as automated scales, flow meters, case counters, etc. When deciding to invest in data collection, the first question to ask is Why? Our objective is never just data collection , but are rather some
11/3/2005

Poor Data Quality Means A Waste of Money
Data quality sounds like a motherhood and apple pie issue, of course we want our data to be right. However, very few enterprises get serious about it. Maybe that's because the cost of data quality is hidden. That cost can be huge.

IT PROTECTING DATA: cost of data quality it is often ignored and considered a cost of doing business. It is not. What Can Be Done About It? First, if management does not acknowledge a data quality problem, it cannot be fixed. Second, unless management sees the data quality problem is creating business problems, it cannot be fixed. In most companies, if a cost is not associated with the problem, it will never be given a priority and will continue forever. Therefore, the first step in addressing a data quality problem is to
9/23/2003

Siemens’ JT Data Format Gets a Nod from ISO » The TEC Blog
data format that makes it possible to view and share digital 3D product information in real time throughout all phases of a product’s lifecycle, was approved by the International Organization for Standardization (ISO) as an International Standard . JT enhances collaboration by enabling manufacturers to move 3D product data among the large number of computer-aided design (CAD) and product lifecycle management (PLM) software applications supporting the standard. With its acceptance as the world’s first

IT PROTECTING DATA: 3d visualization, CAD, JT ISO standard, plm, Siemens JT, Siemens JT data format, Siemens PLM Software, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
29-01-2013

Why Systems Fail - The Dead-end of Dirty Data
If your data does not reflect reality, the system can never be effective. In today’s world of collaboration, showing a trading partner dirty data is giving them the wrong message and tearing down the trust called for in a collaborating partnership.

IT PROTECTING DATA: you have dirty data. It may be as simple as having 1000 units of an inventory item on the shelf and the system says you have 900 or 1002. It may be a customer s ship-to address is out of date. It may be that you have the same piece of information in two places (two applications or even two systems) and they do not agree one of the two or maybe both are dirty. One rule of having the same piece of data in two places is — identical data isn t . How does it get dirty? There are many reasons why a piece of
7/4/2003

The Truth about Data Mining
It is now imperative that businesses be prudent. With rising volumes of data, traditional analytical techniques may not be able to discover valuable data. Consequently, data mining technology becomes important. Here is a framework to help understand the data mining process.

IT PROTECTING DATA: broad reach and application. It can be applied in any situation where it is necessary to discover potential knowledge from vast amounts of data. Throughout this article, the word knowledge is used to refer to meaningful patterns derived through techniques in data mining that can stimulate an organization s goals (such as company revenue, Web site traffic, increase in crop yield, and improved health care). The field of data mining brings together techniques from statistics; machine learning (the design and
6/19/2009

Microsoft says OLE for Data Mining: Is it Bull?
Microsoft released a new version of OLE DB (Object Linking and Embedding Database, based on Microsoft’s Component Object Model or COM) which supports a proprietary data mining specification. It is purported to extend the Structured Query Language (SQL) to allow easier and faster incorporation of data mining queries into existing data warehouse solutions.

IT PROTECTING DATA: for Data Mining: Is it Bull? Microsoft says OLE for Data Mining: Is it Bull? M. Reed - March 28, 2000 Read Comments Event Summary REDMOND, Wash., March 7 /PRNewswire/ -- Microsoft Corp. (Nasdaq: MSFT) announced the beta release of the OLE DB for Data Mining specification, a protocol based on the SQL language, that provides software vendors and application developers with an open interface to more efficiently integrate data mining tools and capabilities into line-of-business and e-commerce applications.
3/28/2000


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