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Six Steps to Manage Data Quality with SQL Server Integration Services
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.

data big  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 Read More...

Developing a Universal Approach to Cleansing Customer and Product Data
Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, and find out why you need an enterprise-wide approach to data management.

data big  Cleansing Customer and Product Data Developing a Universal Approach to Cleansing Customer and Product Data Source: SAP Document Type: White Paper Description: Data quality has always been an important issue for companies, and today it’s even more so. But are you up-to-date on current industry problems concerning data quality? Do you know how to address quality problems with customer, product, and other types of corporate data? Discover how data cleansing tools help improve data constancy and accuracy, Read More...
Field Service Management (FSM)
Field service management (FSM) software is a set of functionalities for organizations or departments within organizations that have as main focus the intallation, maintanance, reparing, and meter r...
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Documents related to » data big


Oracle Database 11g for 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.

data big  Oracle Database 11g for Data Warehousing and Business Intelligence Oracle Database 11g for Data Warehousing and Business Intelligence Source: Oracle Document Type: White Paper Description: 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 Read More...
Scalable Data Quality: A Seven-step Plan for Any Size Organization
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.

data big  Scalable Data Quality: A Seven-step Plan for Any Size Organization Scalable Data Quality: A Seven-step Plan for Any Size Organization Source: Melissa Data Document Type: White Paper Description: 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 Read More...
Retrofitting Data Centers
Most data centers were never designed to be data centers. Organizations are struggling to put a "finger in the dam" to keep up with the speed of change, but budgetary restrictions are such that there is only so much a data center team can do. Learn ways to maximize your data center budget, and find out how unexpected savings in some areas can help cover expenses in other areas.

data big  Retrofitting Data Centers Retrofitting Data Centers Source: SharkRack Document Type: White Paper Description: Most data centers were never designed to be data centers. Organizations are struggling to put a finger in the dam to keep up with the speed of change, but budgetary restrictions are such that there is only so much a data center team can do. Learn ways to maximize your data center budget, and find out how unexpected savings in some areas can help cover expenses in other areas. Retrofitting Data Read More...
How Healthy Is Your Data Center?
IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access solution for a health care environment.

data big  How Healthy Is Your Data Center? How Healthy Is Your Data Center? Source: Minicom Document Type: White Paper Description: IT pros managing hospital data centers with mixed network environments, long lists of remote access protocols and applications, multiple user interfaces, and what often feels like way too many tools, are searching for remote access management solutions that are efficient, secure, and cost-effective to deploy. Learn which criteria to use as a benchmark when choosing a remote access Read More...
Asset Data for Accurate Lifecycle Management
Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes. This is why the development of effective maintenance policies is generally the foremost consideration for modern asset managers.

data big  Asset Data for Accurate Lifecycle Management Asset Data for Accurate Lifecycle Management Daryl Mather - August 24, 2006 Read Comments Introduction Among the areas where modern enterprise asset management (EAM) systems provide substantial benefits is the driving out of inefficiencies in business processes. Through the capture, storage, manipulation, and display of historical transactional data, companies can take great leaps forward in the efficiency with which they execute maintenance programs. They can Read More...
Plant Intelligence as Glue for Dispersed Data?
Enterprises that have manufacturing or plant-level intelligence systems can be guided through the forking paths of exception-based decision-making. Not only will they be better prepared for unplanned events, but they will also know how their responses will impact the company.

data big  plant portal applications consolidate data taken from a wide range of computing sources—from plant floors, enterprise systems, databases, and elsewhere—and organize these data into meaningful, roles-based information, aggregating the data from disparate sources for analysis and reporting. Connections can through extensible markup language (XML), or open database connectivity (ODBC) standards, with communications managed by a protocol layer in the portal s Web server architecture. Near real time Read More...
Turning Disparate Data Into Action
In large enterprises, it's often difficult to get a real sense of the size and scope of one's own network. Asset and connectivity data may be logged somewhere, but most applications specialize in a particular area, so that multiple tools are needed to record all the necessary data. But many of these applications don't communicate with each other. Know the process of consolidating data to achieve organizational success.

data big  Turning Disparate Data Into Action Turning Disparate Data Into Action Source: Planet Associates, Inc. Document Type: White Paper Description: In large enterprises, it s often difficult to get a real sense of the size and scope of one s own network. Asset and connectivity data may be logged somewhere, but most applications specialize in a particular area, so that multiple tools are needed to record all the necessary data. But many of these applications don t communicate with each other. Know the process of Read More...
Advanced ETL with Pentaho Data Integration
When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores does it actually connect to?

data big  Advanced ETL with Pentaho Data Integration Advanced ETL with Pentaho Data Integration Source: Breadboard BI LLC Document Type: White Paper Description: When evaluating a data integration tool, you need to ask whether it handles dimension and fact transformations in a robust manner. You also need to determine how it handles error processing, and captures changes to dimensional data across time. Does it include reusable objects? What late-arriving fact functionality does it provide? And which data stores Read More...
Data Quality: Cost or Profit?
Data quality has direct consequences on a company's bottom-line and its customer relationship management (CRM) strategy. Looking beyond general approaches and company policies that set expectations and establish data management procedures, we will explore applications and tools that help reduce the negative impact of poor data quality. Some CRM application providers like Interface Software have definitely taken data quality seriously and are contributing to solving some data quality issues.

data big  Data Quality: Cost or Profit? Data Quality: Cost or Profit? Kevin Ramesan - March 8, 2004 Read Comments Market Overview In the past year, TEC has published a number of articles about data quality. ( Poor Data Quality Means A Waste of Money ; The Hidden Role of Data Quality in E-Commerce Success ; and, Continuous Data Quality Management: The Cornerstone of Zero-Latency Business Analytics .) This time our focus takes us to the specific domain of data quality within the customer relationship management (CRM) Read More...

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