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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 strategy  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...
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The simplified definition of enterprise resource planning (ERP) software is a set of applications that automate finance and human resources departments and help manufacturers handle jobs such as...
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Documents related to » data cleansing strategy


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 strategy  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...
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

data cleansing strategy  at the role of data cleansing tools in helping improve data consistency and accuracy, and explains why companies need to take an enterprise-wide approach to data cleansing and data quality management. Products and use cases from Business Objects, an SAP company, are used in the paper to demonstrate how vendors are supporting data cleansing, and to illustrate how customers are using such capabilities. The Cost of Poor Data Quality There has been a steady stream of articles in the press about the impact of Read More...
A Road Map to Data Migration Success
Many significant business initiatives and large IT projects depend upon a successful data migration. But when migrated data is transformed for new uses, project

data cleansing strategy  determine the extent of data cleansing needed. In another example, the medical history for an automated patient chart must be of the highest quality when migrated. The business need, which is driven by legal requirements, must be clearly understood by the entire migration team. Ideally, the project team will include data experts and business users as part of a data governance strategy to ensure that this process is as straightforward as possible. ASSESSING INFRASTRUCTURE A data migration project demands a Read More...
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

data cleansing strategy  standards, it still requires data cleansing and 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 cons Read More...
Data Mining with MicroStrategy: Using the BI Platform to Distribute Data Mining and Predictive Analytics to the Masses
Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has

data cleansing strategy  BI Platform to Distribute Data Mining and Predictive Analytics to the Masses Data mining and predictive analysis applications can help you make knowledge-driven decisions and improve efficiency. But the user adoption of these tools has been slow due to their lack of business intelligence (BI) functionality, proactive information distribution, robust security, and other necessities. Now there’s an integrated enterprise BI system that can deliver data mining and predictive analysis. Learn more. Read More...
Making Strategy Real
How can management communicate the organization’s strategy effectively and assure that the entire organization has bought into it and is aligned with it

data cleansing strategy  business intelligence architect,business intelligence architecture,business intelligence articles,business intelligence basics,business intelligence benefits,business intelligence best practices,business intelligence bi,business intelligence blog,business intelligence books,business intelligence career,business intelligence careers,business intelligence certificate,business intelligence certification,business intelligence cognos,business intelligence companies Read More...
An Architect's Evaluation of Form and Function—the Dimensional Data Model
A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect

data cleansing strategy  Form and Function—the Dimensional Data Model A detailed assessment and evaluation of data warehouse system functionality and how it applies to the dimensional data model using tools that the architect works with. Read More...
Transactional Data: Driving Real-Time Business
A global survey of IT leaders shows that most organizations find it challenging to convert high volumes of fresh transactional data into knowledge that business

data cleansing strategy  volumes of fresh transactional data into knowledge that business users can efficiently access, understand, and act on. SAP and HP are tackling this challenge head-on. Download this article to learn more. Read More...
Analyzing Big Data: The Path to Competitive Advantage
Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product

data cleansing strategy  to Competitive Advantage Big data is different from ordinary database information because of the massive volume, the variety, and the velocity. And the data mix now includes product reviews, video, blogs, tweets, and more. But the biggest current challenge may be to articulate a compelling business case for using big data. Find out how companies in various industries are finding value in the data they have already collected and making it actionable. Read More...
The Role of Cloud in Your Storage and Data Protection Strategy
Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy.

data cleansing strategy  in Your Storage and Data Protection Strategy The Role of Cloud in Your Storage and Data Protection Strategy Cloud storage is gaining in popularity with companies seeking a more efficient, dynamic, and responsive IT environment. But what are the issues and challenges involved? And how do you make sense of a bewildering maze of cloud storage options? Find out in Making Cloud an Integral Part of Your Enterprise Storage and Data Protection Strategy . In this practical IDC report, you'll learn about the Read More...
Creating a Web Strategy
One of the best starting points for determining a web site strategy is to understand both the market that your company operates in and the needs of your key

data cleansing strategy   Read More...
MSI Data


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Don't Be Overwhelmed by Big Data
Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect

data cleansing strategy  Be Overwhelmed by Big Data Big Data. The consumer packaged goods (CPG) industry is abuzz with those two words. And while it’s understandable that the CPG world is excited by the prospect of more data that can be used to better understand the who, what, why, and when of consumer purchasing behavior, it’s critical CPG organizations pause and ask themselves, “Are we providing retail and executive team members with “quality” data, and is the data getting to the right people at the right time? Big Read More...

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