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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.

ALL DATA PRO REGISTER: de-duplication to ensure that all business rules are properly met. Successful data cleansing requires the use of flexible, efficient techniques capable of handling complex quality issues hidden in the depths of large data sets. Data cleansing corrects errors and standardizes information that can ultimately be leveraged for MDM applications. 3. Parsing and Standardization This technique parses and restructures data into a common format to help build more consistent data. For instance, the process can
9/9/2009 2:32:00 PM

Scalable Data Quality: A Seven-step Plan for Any Size Organization
Scalable Data Quality: a Seven-step Plan for Any Size Organization. Read IT Reports In Relation To Data Quality. 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 it is crucial to getting maximum value out of your data. In small companies, for which every sales lead, order, or potential customer is valuable, poor data quality isn’t an option—implementing a thorough data quality solution is key to your success. Find out how.

ALL DATA PRO REGISTER: way to ensure that all address data passes through a data quality process before it is used in any way? What changes to the network might be necessary to make this happen?   Step 5: Evaluate vendors Once the extent of the problem and the available resources has been identified, the point person then identifies possible data quality solutions vendors and evaluates their products. This evaluation should include downloading and using trial versions of their software (if these are available), as well as
9/9/2009 2:36:00 PM

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.

ALL DATA PRO REGISTER: process, marketing task, or all three must occur, and within that action a data quality function can be readily inserted. These are opportunities. What immediately becomes obvious is in this relatively simple lead-generation operation there are numerous locations to invoke a DQ process. These locations offer substantial flexibility to marketing managers when planning their data integrity strategy. Depending on span of control (who owns what tasks or data stores), budget, availability of resources, and
6/1/2009 5:02:00 PM

Oracle Database 11g for Data Warehousing and Business Intelligence
Oracle Database 11g for Data Warehousing and Business Intelligence. Find RFP Templates and Other Solutions to Define Your Project In Relation To Oracle Database, Data Warehousing and Business Intelligence. Oracle Database 11g is a database platform for data warehousing and business intelligence (BI) that includes integrated analytics, and embedded integration and data-quality. Get an overview of Oracle Database 11g’s capabilities for data warehousing, and learn how Oracle-based BI and data warehouse systems can integrate information, perform fast queries, scale to very large data volumes, and analyze any data.

ALL DATA PRO REGISTER: benefits of OLAP to all data warehouse users using any SQL-based tool. SCALE The size of the largest data warehouses is growing exponentially. Today, more and more business processes are becoming more completely automated and more data is collected a more granular levels, so these data volume increases show no signs of abating. With the Oracle Database, there are four key capabilities to enable scalability: partitioning, compression, clustering, and parallelism Partitioning Oracle Partitioning is
4/20/2009 3:11:00 PM

Data Center Projects: System Planning
System planning is the Achilles’ heel of a data center physical infrastructure project. Planning mistakes can propagate through later deployment phases, resulting in delays, cost overruns, wasted time, and a compromised system. These troubles can be eliminated by viewing system planning as a data flow model, with sequenced tasks that progressively transform and refine data from initial concept to final design. Learn more.

ALL DATA PRO REGISTER: Managers Talent Management for Small and Medium-size Businesses: Steer Your Business to Handle Change by Creating the Right Road Map for Your Talent Journey Acronym-Related White Papers: Business Intelligence (BI) |  Customer Relationship Management (CRM) |  Enterprise Resource Planning (ERP) |  Human Capital Management (HCM) |  Information Technology (IT) |  Key Performance Indicators (KPIs) |  Return on Investment (ROI) |  Software as a Service (SaaS) |  Total Cost of Ownership (TCO)
12/10/2008 9:35:00 AM

Data Quality Strategy: A Step-by-Step Approach
To realize the 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. Those organizations that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality.

ALL DATA PRO REGISTER: that approach this issue strategically will be successful. But what goes into a data quality strategy? This paper from Business Objects, an SAP company, explores the strategy in the context of data quality. Data Quality Strategy: A Step-by-Step Approach style= border-width:0px; />   comments powered by Disqus Related Topics:   Data Cleansing,   Conversion,   or Modeling,   Data Mining,   Data Warehouse,   Database Management System (DBMS),   File Management,   Dashboard,   Search Analytics
3/16/2011 2:03:00 PM

Vitria OI 4: Data for Today and for the Future » The TEC Blog
distinguish the value of all available information assets. Finally, with these advancements to its OI Suite, Vitria aims to align its roadmap strategy with improved access to data, as well as provide core data analysis and predictive analytics features for a comprehensive analytic view of business processes and real-time data. Certainly, the Vitria product is one to watch closely when looking for an OI solution. Share This   Read More     --> Trackback Address     Tags: BPM , Business Intelligence

ALL DATA PRO REGISTER: BPM, Business Intelligence, operational intelligence, vitria, vitria operational intelligence suite, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
27-08-2013

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.

ALL DATA PRO REGISTER: The New Virtual Data Centre The New Virtual Data Centre Source: Quocirca Ltd Document Type: White Paper Description: 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
2/3/2011 8:58:00 AM

More Data is Going to the Cleaners
WESTBORO, Mass., November 29, 1999 - Ardent Software, Inc. (Nasdaq: ARDT) today announced a strategic partnership with Firstlogic, Inc., the developer of i.d.Centric data quality software that helps companies cleanse and consolidate data in database marketing, data warehousing, and e-business applications. Under the partnership agreement Firstlogic will develop and support a link between its customer data quality tools and Ardent's DataStage Suite.

ALL DATA PRO REGISTER: Ardent Software. This partnership allows our joint customers to take advantage of Firstogic s address verification, name parsing and extensive matching and consolidation capabilities inside the DataStage suite, the most comprehensive Business Intelligence (BI) Infrastructure solution available. As data has become increasingly strategic to corporate growth, monitoring and maintaining the highest level of data quality are essential, said Art Petty, Firstlogic vice president of marketing. Our customer
12/1/1999

Actian Goes Big on Data, Acquires ParAccel » The TEC Blog
Insider s Point of View All about Microsoft Amy Wohl s Opinions on Cloud Computing and SaaS Aras Corporate Blog ARIS BPM Blog Beyond PLM BlogERP Brandcentric blog CBR s blog Chief Pricing Officer CIO-Reinvented blog Clarity on PLM Connected Enterprise CPG Chatter CRM Intelligence & Strategy Dave Stein s Blog Deal Architect Denis Pombriant eCommerce Insights Enterprise 2.0 blog Enterprise Irregulars Blogs Enterprise Matters Event Processing Blog Evolving Excellence First Thing Monday blog Human Capitalist

ALL DATA PRO REGISTER: actian, analytics, big data, big data analytics, Business Intelligence, Cloud Computing, data management, data warehouse, paraccel, pervasive, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
26-04-2013

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.

ALL DATA PRO REGISTER: Overall Approach to Data Quality ROI Overall Approach to Data Quality ROI Source: SAP Document Type: White Paper Description: 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
3/16/2011 5:34:00 PM


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