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Documents related to » important technical data


Why Open Source is Important to You
There are two trends in open source adoption that make it imperative that you consider open source solutions for your future IT initiatives. This article describes each of the trends and discusses their importance for your business.

IMPORTANT TECHNICAL DATA: Why Open Source is Important to You Why Open Source is Important to You Bernard Golden - April 13, 2005 Read Comments Introduction There s been an incredible amount of news and gossip about open source over the past year. Between the SCO lawsuits, the Microsoft Windows versus Linux TCO campaign, and the IBM Linux Everywhere advertising blitz, open source seems to have gotten more coverage than the Brad and Jennifer split. You might be forgiven for thinking the whole open source thing is
4/13/2005

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.

IMPORTANT TECHNICAL DATA: including: Why is data important now, it has been around forever? There aren t enough internal resources but how could outsiders/ contractors possible know their data well enough to cleanse it? How would you even know where to start? This article addresses how we all got here and what we can do about it. There are four critical success factors of 1) Scope, 2) Team, 3) Process and 4) Technology and this article will give you the stepping stones to be successful in cleaning your critical data.   Executive
1/14/2006 9:29:00 AM

Six Steps to Manage Data Quality with SQL Server Integration Services
Six Steps to Manage Data Quality with SQL Server Integration Services. Read IT Reports Associated with Data quality. 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.

IMPORTANT TECHNICAL DATA: database is its most important asset. It is a collection of information on customers, suppliers, partners, employees, products, inventory, locations, and more. This data is the foundation on which your business operations and decisions are made; it is used in everything from booking sales, analyzing summary reports, managing inventory, generating invoices and forecasting. To be of greatest value, this data needs to be up-to-date, relevant, consistent and accurate — only then can it be managed
9/9/2009 2:32:00 PM

9 Important Business Phone System Buyer Questions
In 9 Important Business Phone System Buyer Questions, you'll find the key questions to help you get the right business phone system at the best possible price.

IMPORTANT TECHNICAL DATA: 9 Important Business Phone System Buyer Questions 9 Important Business Phone System Buyer Questions Getting the best deal on a new business phone system doesn t have to be difficult—if you know the right questions to ask. In 9 Important Business Phone System Buyer Questions , you ll find the key questions to help you get the right business phone system—at the best possible price. From hidden costs to scalability, compatibility, and support issues, you ll know what to ask to make the right choice in a
10/3/2011 4:02:00 PM

Data Quality: A Survival Guide for Marketing
Even with the finest marketing organizations, the success of marketing comes down to the data. Ensuring data quality can be a significant challenge, particularly when you have thousands or even millions of prospect records in your CRM system and you are trying to target the right prospect. Data quality, data integration, and other functions of enterprise information management (EIM) are crucial to this endeavor. Read more.

IMPORTANT TECHNICAL DATA: data quality, data quality tools, data quality software, customer data quality, data quality metrics, data quality management, data quality objectives, data quality tool, data quality act, data quality solutions, data quality assessment, data quality campaign, data quality assurance, data quality control, data quality analysis, data quality services, data quality issues, data quality standards, data quality analyst, improve data quality, crm data quality, data quality plan, data quality definition, product data quality, data quality jobs, data quality solution, data quality methodology, data .
3/16/2011 1:15:00 PM

Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization
Network Data Protection Playbook: Network Security Best Practice for Protecting Your Organization. Search for IT Report or IT Guide for a Network Data Protection Playbook. 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.

IMPORTANT TECHNICAL DATA: specialized software tools. These important steps can be taken today to secure the most critical vulnerabilities and lay the foundation for a data protection architecture. Specifically, the following are implementation items for each step. Step 1: Address Primary Network Security Threats The goal with the first step is to deploy an architecture that is scalable and flexible enough to address the four key areas that need data protection: Protecting Data Storage: In order to protect storage data, deploy
7/20/2007 1:32:00 PM

The Path to Healthy Data Governance
TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement. 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 corporate view. A framework of policies concerning its management and usage will help exploit the data’s usefulness. TEC research analyst Jorge Garcia explains why for a data governance initiative to be successful, it must be understood as a key business driver, not merely a technological enhancement.

IMPORTANT TECHNICAL DATA: company, but it is important to treat this as a core role within the organization, with the right authority and ability to make and execute decisions regarding data and its proper use, as the data stewardship role deals with key data security, quality, and sharing issues. Some Insights on Data Governance Adoption Currently, organizations and decision makers are paying more attention to the importance of data quality and ways to improve data usage and administration according to comprehensive corporate pri
10/14/2011 10:12:00 AM

Massive Data Requires Massive Measures
There’s a lot of “big” money to be made these days when it comes to the analysis of big data. Find out what the key components are in this special report. One thing we learned in the data warehouse and data management world is that when it comes to the analysis of big data, there is also a lot of big money involved in order to gain position. But is the analysis of extensive amounts of data really a key component for the corporate business world?

IMPORTANT TECHNICAL DATA: can be a very important factor, but obviously not the only factor, considering that the decision for a data warehousing or analytic database involves not only technical criteria but also business-related criteria. Besides this spending rush, many other things are happening in the data warehouse space that are worth mentioning, such as the adoption of non-conventional database solutions such as Nosql , and distributed databases as well as the adoption of special types of technologies such as in-memory
11/5/2010 10:03:00 AM

Jaspersoft 4 Goes Big Data » The TEC Blog


IMPORTANT TECHNICAL DATA: bi, Business Intelligence, cassandra, couchdb, Greenplum, hadoop, hbase, Jaspersoft, Jaspersoft 4.0, mongodb, neteeza, nosql, open source, vertica, voltdb, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
27-01-2011

Overall Approach to Data Quality ROI
Data quality is an elusive subject that can defy measurement and yet be critical enough to derail any single IT project, strategic initiative, or even a company. Of the many benefits that can accrue from improving the data quality of an organization, companies must choose which to measure and how to get the return on investment (ROI)—in hard dollars. Read this paper to garner an overall approach to data quality ROI.

IMPORTANT TECHNICAL DATA: address data quality, assessing data quality, benefits of data quality, business data quality, business objects data quality, characteristics of data quality, clinical data quality, common data quality issues, cost of data quality, cost of poor data quality, crm data quality, customer data quality, data improvement, data quality, data quality accuracy, data quality act, data quality analysis, data quality analytics, data quality architecture, data quality assessment, data quality assessment framework, data quality assessment tool, data quality assessments, data quality assurance, data quality .
3/16/2011 5:34:00 PM

Data Quality Strategy: A Step-by-step Approach
Success start with data quality strategy: a step-by-step approach.Read Technology Evaluation Centers (TEC) whitepapers. To realize the full benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it, and how to keep it clean. The companies that approach this issue strategically are the companies that will be successful. Learn the six factors that go into a good data quality strategy, and find out how to go from strategy to implementation.

IMPORTANT TECHNICAL DATA: data quality as more important than budget constraints. Put simply, to realize the full benefits of their investments in enterprise computing systems, organizations must have a detailed understanding of the quality of their data—how to clean it, and how to keep it clean. And those organizations that approach this issue strategically are those that will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores strategy in the context of data qua
1/25/2010 1:13:00 PM


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