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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

data cleansing  of Adobe Reader. Data Cleansing and Synchronization Services The pace with which companies are forced to operate and to compete globally has taxed exisitng systems and increased their inefficiencies. Source : PM ATLAS Business Group, LLC Resources Related to Critical Success Factors to Cleansing Data : Data Cleansing (Wikipedia) Four Critical Success Factors to Cleansing Data Data Cleansing is also known as : Data , Data Cleansing , Consumer Data , Precise Data Cleansing , Data Quality , Data Read More...
Outsourcing, IT Infrastructure
The IT Infrastructure Outsourcing knowledge base focuses on the selection of companies who provide outsource services in the areas of information technology (IT) infrastructure. The typical type...
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Documents related to » data cleansing


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

data cleansing  an application's contribution to data cleansing remains a pillar to the overall success of a data quality strategy. Systems may implement a data cleansing method through the use of centralized data warehouses, the integration of data cleansing software, and the use of third-party data with the enterprise application. Overall, some of the available techniques are Data-validating process rules Centralized database Data cleansing technology Data scrubbing Data scrubbing is the process of fixing or Read More...
Customer Data Integration: A Primer
Customer data integration (CDI) involves consolidation of customer information for a centralized view of the customer experience. Implementing CDI within a

data cleansing  they do, lack of data cleansing and management can cause employees to see only a portion of a customer's history, interactions, or profiles. A widely used example is that of an organization sending multiple marketing brochures to one customer because of inaccuracies and lack of customer data synchronization. A more alarming example is having more than one customer record for a specific customer, with the collections department calling that customer to collect on an account that is actually current. Why do Read More...
Distilling Data: The Importance of Data Quality in Business Intelligence
As an enterprise’s data grows in volume and complexity, a comprehensive data quality strategy is imperative to providing a reliable business intelligence

data cleansing  and identify quality issues; data cleansing , to correct and standardize data in preparation for consumption by the user community; and data monitoring , to control quality over time. Diagnose with Data Profiling By creating data profiles, organizations can gain an understanding of quality issues that stem from their business data. Metrics are created based on selected fields to measure the quality of data represented in those fields. Examples of data profiling metrics include the following: Number of 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

data cleansing  Customer Data Quality , Data Cleansing Service , Data Integration System , Data Cleansing Services , Data Profiling , Data Profiling Software , Data Quality , Data Cleansing Software , Data Governance , Data Integration , Data Quality Analysis , Data Quality Approach , Data Quality Assessment , Data Quality Best Practices , Data Quality Campaign , Data Quality Control , Data Quality Framework , Data Quality Improvement , Data Quality Indicator , Data Quality Indicators , Data Quality Issue , Data Quality Read More...
Data Management and Business Performance: Part 1-Data
Research for one of my projects led me to ask both software vendors and customers about the factors most important to software users in the selection of a

data cleansing  BI tools to improve data management and business performance management. Consumers are continuously looking for innovative ways to move, store, and improve the quality of their data as well as to ways to capture the most valuable information for improved decision making and business performance. Let’s look at what the data tells us. Below is a Pareto chart based on data from Technology Evaluation Centers (TEC) on what software users consider to be the most popular functionality features for BI Read More...
Protecting Critical Data
The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data

data cleansing  Critical Data The first step in developing a tiered data storage strategy is to examine the types of information you store and the time required to restore the different data classes to full operation in the event of a disaster. Learn how in this white paper from Stonefly. Read More...
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

data cleansing  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. Read More...
Data, Data Everywhere: A Special Report on Managing Information
The quantity of information in the world is soaring. Merely keeping up with, and storing new information is difficult enough. Analyzing it, to spot patterns and

data cleansing  Data Everywhere: A Special Report on Managing Information SAP NetWeaver Master Data Management (SAP NetWeaver MDM) is an enabling foundation for enterprise services and business process management. Working across heterogeneous systems at disparate locations, SAP NetWeaver Master Data Management ensures cross-system data consistency through interactive distribution. Source: SAP Resources Related to Data, Data Everywhere: A Special Report on Managing Information : Data (Wikipedia) Data, Data Read More...
Increasing Sales and Reducing Costs across the Supply Chain-Focusing on Data Quality and Master Data Management
Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in

data cleansing  the Supply Chain-Focusing on Data Quality and Master Data Management Nearly half of all US companies have serious data quality issues. The problem is that most are not thinking about their business data as being valuable. But in reality data has become—in some cases—just as valuable as inventory. The solution to most organizational data challenges today is to combine a strong data quality program with a master data management (MDM) program, helping businesses leverage data as an asset. Read More...
The Path to Healthy Data Governance
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

data cleansing  Path to Healthy Data Governance This article is based on the presentation, “From Data Quality to Data Governance,” by Jorge García, given at ComputerWorld Technology Insights in Toronto, Canada, on October 4, 2011. Modern organizations recognize that data volumes are increasing. More importantly, they have come to realize that the complexity of processing this data has also grown in exponential ways, and it’s still growing. Many companies are finally treating their data with all the necessary Read More...
Demystifying Data Science as a Service (DaaS)
With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been

data cleansing  Data Science as a Service (DaaS) With advancements in technology, data science capability and competence is becoming a minimum entry requirement in areas which have not traditionally been thought of as data-focused industries. As more companies perceive the significance of real-time data capture and analysis, data as a service will become the next big thing. India is now the third largest internet user after China and the U.S., and the Indian economy has been growing rapidly. Read this white Read More...
An Improved Architecture for High-efficiency, High-density Data Centers
Globally, data center power and cooling infrastructure wastes more than 60 million megawatt-hours per year that do not contribute usefully to powering IT

data cleansing  Architecture for High-efficiency, High-density Data Centers An Improved Architecture for High-Efficiency, High-Density Data Centers If you receive errors when attempting to view this white paper, please install the latest version of Adobe Reader. In today's always on, always available world where businesses can't stop and downtime is measured in dollars, American Power Conversion (APC) provides protection against some of the leading causes of downtime, data loss and hardware damage: power problems Read More...
Data Center Projects: Project Management
In data center design projects, flawed management frequently leads to delays, expense, and frustration. Effective project management requires well-defined

data cleansing  leading causes of downtime, data loss and hardware damage: power problems and temperature. As a global leader in network-critical physical infrastructure (NCPI) solutions, APC sets the standard in its industry for quality, innovation and support. Source : APC Resources Related to Data Center Project Management : Data Center (Wikipedia) Project Management (Wikipedia) Data Center Projects: Project Management Data Center Project is also known as : Project Management , Internalize Data Centers , Data Center Read More...

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