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Articles by David Loshin

Displaying 30–45 (of 116)

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Title Popularity * Date
Preparing Data for Business Analytics Summary
David Loshin examines structural organization and conceptual organization, two important aspects of information organization that can help ease the implementation of reporting and analytics systems.

Topics: Business Intelligence, Analytics, Data Management

by David Loshin | 0 comments
10-27-2011
Data Quality for Business Analytics Summary
David Loshin discusses four specific issues that should be considered to be sure the quality of the data sets satisfies the needs of the consumers of the analytical results.

Topics: Business Intelligence, Data Quality

by David Loshin | 0 comments
09-29-2011
Data Selection for Business Analytics Summary
What data should be integrated into a business analytics environment? David Loshin provides advice for identifying data requirements and assessing suitability of data sources.

Topics: Analytics, Business Analytics

by David Loshin | 0 comments
08-25-2011
Business Analytics: Considering the Spectrum of Analysis Summary
To ensure organizational preparedness in introducing a business analytics capability, David Loshin considers how to map business users’ expectations into a realistic plan for source data selection, evaluation, preparation, and analysis.

Topics: Business Intelligence, Analytics

by David Loshin | 0 comments
07-28-2011
Selecting the Right Business Processes to Subject to Reporting and Analysis Summary
David Loshin explains how to ensure your analysis and reporting are designed to help you target business processes that can be improved using the analytical results.

Topics: Business Intelligence, Analytics

by David Loshin | 0 comments
06-23-2011
Defining Justifiable Targets for Analytics Success Summary
To aid in identifying and selecting the right targets for an analytics effort, David Loshin provides 5 suggestions that will assist in defining the targets that will meet the business goals.

Topics: Analytics, Predictive Analytics

by David Loshin | 1 comment
05-26-2011
Straightforward Analytics: Establishing Measures Summary
David Loshin explains an important step in achieving straightforward analytics: establishing measures.

Topics: Business Intelligence, Analytics

by David Loshin | 0 comments
04-28-2011
More Straightforward Analytics: Defining the Objective Summary
David Loshin discusses the first step in process preparation for more straightforward analytics: defining the objective.

Topics: Analytics, Business Intelligence

by David Loshin | 0 comments
03-24-2011
Straightforward Analytics Summary
Analytic success doesn't just happen. The analytic process requires careful organizational preparation. David Loshin describes concrete steps that can be taken so that analytic efforts provide the desired results.

Topics: Analytics, Business Intelligence, Data Mining and Statistical Analysis

by David Loshin | 1 comment
02-24-2011
Impacts of Institutionalized Reactivity to Data Errors Summary
David Loshin discusses the negative impact of reacting to data errors instead of preventing them, and how this approach has become all too common in many businesses.

Topics: Information Quality (IQ), Data Quality, Data Management

by David Loshin | 0 comments
01-27-2011
Customer Lifetime Value and Data Management Summary
Customer lifetime value is a very powerful concept that can help drive specific actions, both strategic and tactical. David Loshin explains that while the concepts are straightforward, the devil is in the details.

Topics: Information Management, CRM, Data Management

by David Loshin | 0 comments
12-16-2010
Business Rules and Data Rules: What's the Difference? Summary
This article looks at the difference between the business rules used for data quality validation and those rules used for data governance and for compliance with policies.

Topics: Information Quality (IQ), Data Quality, Business Rules, Data Governance

by David Loshin | 0 comments
11-18-2010
Data Quality: Anticipating Data Errors Summary
Is the need for data quality management eliminated if an organization chooses to address the problem by focusing on fixing the process issues and eliminating the root cause of data issues?

Topics: Information Quality (IQ), Data Quality

by David Loshin | 1 comment
10-28-2010
Practical Definitions for Master Data Summary
Prior to implementing a master data repository, organizations must be prepared to internalize the data management policies and associated techniques that reflect a mature perception of what can and cannot be done by creating such a repository.

Topics: Information Management, Master Data Management (MDM)
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by David Loshin | 0 comments
09-30-2010
Data Use by Analytical Applications: Primary vs. Secondary – Who is #1? Summary
The use of data by downstream analytical applications impacts data management and data architecture. The challenge organizations face is identifying and making accommodations for the information needs of current and future analytical applications.

Topics: Information Management, Data Modeling and Design, Analytics, Data Governance, Data Management

by David Loshin | 1 comment
08-26-2010

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