Technical Data Sheets: Related Documents

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.

TECHNICAL DATA SHEETS: Six Steps to Manage Data Quality with SQL Server Integration Services Six Steps to Manage Data Quality with SQL Server Integration Services Source: Melissa Data Document Type: White Paper Description: 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
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.

TECHNICAL DATA SHEETS: Oracle Data Mining helps technical professionals find patterns in their data, identify key attributes, discover new clusters and associations, and uncover valuable insights. To address these business problems, Oracle Data Mining allows companies find new information from their data using a wide range of state-of-the-art algorithms. Data mining algorithms are machine-learning techniques for analyzing data to discover patterns and relationships. Oracle provides multiple algorithms since different
4/20/2009 3:11:00 PM

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.

TECHNICAL DATA SHEETS: needs to provide key technical capabilities, such as data re-engineering and cleansing, logical entity mapping, and logical attribute mapping. Informatica s products support all these capabilities and best practices for migration, helping hundreds of leading organizations to migrate data and implement application projects while meeting timescales, budgets, and data quality requirements. For more information, please visit www.informatica.com/solutions/technology/migration to view the white paper,
10/27/2006 4:30:00 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.

TECHNICAL DATA SHEETS: rule to greater team Technical BA assigned Data Cleansed per business rule Integrity reports written, tested and moved to production Data Owners trained in daily maintenance of report The process takes about 6 weeks for each field to move from analysis to production support. This means at any given time 1 Senior Functional BA will have 12 to 18 fields opened at a time. Duration planning - If you have 50 fields to cleanse then you are looking at a 3 to 4 month effort, but if you have 200 fields to cleanse
1/14/2006 9:29:00 AM

Beware of Legacy Data - It Can Be Lethal
Legacy data can be lethal to your expensive new application – two case studies and some practical recommendations.

TECHNICAL DATA SHEETS: on the website. The technical integration with SAP IS-U did succeed. But it didn t work out well... When a customer started using the website, he would typically see only part of his data. The reason: lots of customers had multiple customer records, each telling part of the truth about the customer. The explanation: one customer record might come from the company selling natural gas in his region; a second customer record might come from yet another company selling electricity; the third from a former
8/23/2002

How to Comply with Data Security Regulations
The best-kept secrets of Data Security secrets revealed!Get and read our whitepaper for free! A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you can create a routine that archives files you select for backup and storage.

TECHNICAL DATA SHEETS: How to Comply with Data Security Regulations How to Comply with Data Security Regulations Source: BizDomainStore.com Document Type: Checklist/Guide Description: A remote data backup solution can be compliant with almost any international, federal, or state data protection regulation—and can be compliant with the common caveats of most data security laws by providing functionality like data encryption and secure media control. And, as some regulations require files to be archived for several years, you
7/13/2009 2:16:00 PM

A Road Map to Data Migration Success
The key to a successful data migration: read a Road Map to Data Migration Success, a SAP white paper. Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project teams encounter some very specific management and technical challenges. Minimizing the risk of these tricky migrations requires effective planning and scoping. Read up on the issues unique to data migration projects, and find out how to best approach them.

TECHNICAL DATA SHEETS: very specific management and technical challenges. For example, a team that has been writing extraction, transformation, and load (ETL) code for a data warehouse faces a new set of challenges when migrating data to a live, operational system. Although a 2% error rate may be acceptable for aggregate reporting, it is not acceptable for customer contact data—in this example, we would fail to recognize one out of 50 customers when they call! Many significant business initiatives and large IT projects depend
1/25/2010 11:36:00 AM

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.

TECHNICAL DATA SHEETS: 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

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.

TECHNICAL DATA SHEETS: Data Quality Strategy: A Step-by-Step Approach Data Quality Strategy: A Step-by-Step Approach Source: SAP Document Type: White Paper Description: 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
3/16/2011 2:03:00 PM

About Big Data
TEC analyst Jorge Garcia discusses the key issues surrounding big data, the different ways to manage it, and the major vendors offering big data solutions. There may not be a consensus with respect to just how big

TECHNICAL DATA SHEETS: data solution provides the technical means to perform operations with high volumes of data in a short period of time, with the ability to treat various types of data from disparate sources. Why the Hype? One of the main triggers for the design of new applications and technologies is the inability of common BI deployments to manage both structured and unstructured content. The data extraction process can be especially difficult with large amounts of information. These new tools are changing the traditional
11/18/2011 2:08:00 PM

Data Mart Calculator
Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be changed to fit your needs. Find out more.

TECHNICAL DATA SHEETS: Data Mart Calculator Data Mart Calculator Source: Glenridge Solutions LLC Document Type: White Paper Description: Need a model to help calculate an estimate of manpower needs by role, timeline, and labor cost to build a data mart based on user-supplied variables? Here’s a calculator that provides two estimates. The first is based on using the traditional “develop by committee,” and the second on developing the same data mart at the developmental level. The model needs minimal input and can be
5/22/2009 11:18:00 AM