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Documents related to » define data communication


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.

DEFINE DATA COMMUNICATION: Identifiers — These identifiers define a business entity s master system of record. As you bring together data from various data sources, an organization must have a consistent mechanism to uniquely identify, match, and link customer information across different business functions. While data connectivity provides the mechanism to access master data from various source systems, it is the Total Data Quality process that ensures integration with a high level of data quality and consistency. Once an organi
9/9/2009 2:32:00 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.

DEFINE DATA COMMUNICATION: capability for DBA’s to define custom partitioning schemes; a rich set of adminstrative commands for partitioned tables; and a partition adviser to guide administrators on how best to implement partition. Partitioning also enables ILM ( Information Lifecycle Management ) strategies within the Oracle database. A single table, when partitioned, can be distributed across multiple storage tiers. Old, less-frequently accessed data, corresponding to older partitions, can be stored on less expensive storage de
4/20/2009 3:11:00 PM

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.

DEFINE DATA COMMUNICATION: and Business Owners who define what is needed. If you have internal data tools already implemented, then use them. If you don t, then don t run out and buy one just for this project. Implementing a PIM or PDM, is a whole separate project. Most vendors will only import clean data, so you still have to do the hard work first. Not to worry, most any technical analyst can link to tables via ODBC and extract out the data needed for analysis. Most data cleansing vendors have built their own proprietary tools th
1/14/2006 9:29:00 AM

Achieving a Successful Data Migration
Achieving a Successful Data Migration. Solutions and Other Software to Delineate Your System and for 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 migration problems can lead an organization to judge the entire project a failure, with the conclusion that the new package or upgrade is faulty--when in fact, the problem lies in the data migration process.

DEFINE DATA COMMUNICATION: set of validation rules defined in the target application, the data load will fail. Bad data in the target application can impact business processes after a go-live and necessitate costly manual fixes. Organizations must establish user confidence in the data. In order to fully trust data, business users want the ability to trace it, to find out where it came from and how it was changed. This requires some form of data lineage capability, such as metadata management. Data profiling, validation, and clean
10/27/2006 4:30:00 PM

A Guide to Intelligent Data Auditing
Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of product requirements to make the right decision.

DEFINE DATA COMMUNICATION: A Guide to Intelligent Data Auditing A Guide to Intelligent Data Auditing Source: Tizor Document Type: Checklist/Guide Description: Data auditing is a form of data protection involving detailed monitoring of how stored enterprise data is accessed, and by whom. Data auditing can help companies capture activities that impact critical data assets, build a non-repudiable audit trail, and establish data forensics over time. Learn what you should look for in a data auditing solution—and use our checklist of
3/19/2008 6:06:00 PM

The Necessity of Data Warehousing
An explanation of the origins of data warehousing and why it is a crucial technology that allows businesses to gain competitive advantage. Issues regarding technology selection and access to historical 'legacy' data are also discussed.

DEFINE DATA COMMUNICATION: (repeating groups and conditionally defined fields). It should be noted that a large percentage of the world s data is stored in VSAM files. A final issue is whether the ETL tool moves all the data through its own engine on the way to the target, or can be a proxy and move the data directly from the source to the target. Selection of the business intelligence tool(s) requires decisions such as: Will multi-dimensional analysis be necessary, or does the organization need only generalized queries? Not all
8/2/2000

CMOs Thriving in the Age of Big Data » The TEC Blog
Are CMOs able to define the specific requirements of their departments regarding CRM or enterprise marketing management (EMM) solutions while having a broad understanding of the CRM/EMM software market? Well, one of the things we see a lot at TEC is that software selection teams simply aren’t aware of what the latest software solutions offer. CRM selection teams are no exception. To get around that, we start by analyzing business requirements and then match them to software features and functions. That

DEFINE DATA COMMUNICATION: chief marketing officer, CRM software selection, customer relationship management, EMM, enterprise marketing management, marketing analytics, marketing data, marketing software requirements, TEC, Technology Evaluation, Technology Evaluation Centers, Technology Evaluation Centers Inc., blog, analyst, enterprise software, decision support.
22-02-2013

Managing the Tidal Wave of Data
Despite the slowing economy, data growth continues due to the digitization of infrastructures, the need to keep more copies of data for longer periods, and the rapid increase in distributed data sources. This data growth creates a wide range of management challenges. Discover solutions that can help your company maximize its storage environment and reduce costs while improving service and managing risks.

DEFINE DATA COMMUNICATION: Managing the Tidal Wave of Data Managing the Tidal Wave of Data Source: IBM Document Type: White Paper Description: Despite the slowing economy, data growth continues due to the digitization of infrastructures, the need to keep more copies of data for longer periods, and the rapid increase in distributed data sources. This data growth creates a wide range of management challenges. Discover solutions that can help your company maximize its storage environment and reduce costs while improving service and
4/29/2010 4:04:00 PM

Governance from the Ground Up: Launching Your Data Governance Initiative
Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will inform the right strategy and give companies a way to determine where and how to begin their data governance journeys.

DEFINE DATA COMMUNICATION: Governance from the Ground Up: Launching Your Data Governance Initiative Governance from the Ground Up: Launching Your Data Governance Initiative Source: SAP Document Type: White Paper Description: Although most executives recognize that an organization’s data is corporate asset, few organizations how to manage it as such. The data conversation is changing from philosophical questioning to hard-core tactics for data governance initiatives. This paper describes the components of data governance that will
3/21/2011 1:41:00 PM

The Three V s of Big Data
Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines how the financial planning function is impacted by volume, velocity, and variety of data.

DEFINE DATA COMMUNICATION: The Three V s of Big Data The Three V s of Big Data Source: SAP Document Type: White Paper Description: Big data is currently garnering a tremendous amount of attention, and thought leaders often point to three key attributes: volume, velocity, and variety. The analysis of these three key attributes can be extended into understanding what big data means to the financial planning and analysis function. This article identifies the technology developments converging to create the big data rush and examines
7/10/2013 10:00:00 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.

DEFINE DATA COMMUNICATION: The Why of Data Collection The Why of Data Collection Olin Thompson - November 3, 2005 Read Comments Introduction Data collection systems work. However, they mean an investment in technology. Before we can justify that investment, we need to understand why we may want to use a data collection system in place of people with clipboards. What is data collection? In a general sense, it is the manual or automated acquisition of data. That definition has evolved to mean various automated methods of data
11/3/2005


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