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Use Analytical Results to Drive Specific Process Improvement Summary
 David Loshin explains how to use business analytics results to improve business processes and reap more benefits for your company.

Topics: Analytics, Business Intelligence, Business Analytics
by David Loshin | 0 comments		 25-01-2012
Business Intelligence and Analytics: Organizational Readiness to Overcome Barriers Impeding Success Summary
 Despite a commitment to business intelligence and analytics, organizations often aren’t sufficiently prepared to ensure success. David Loshin describes the importance of organizational preparedness and suggests a plan for ensuring that your BI program will thrive.

Topics: Business Intelligence, Analytics
by David Loshin | 0 comments		 22-12-2011
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		 25-08-2011
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		 28-07-2011
SPOTLIGHT: Columnar Databases and Big Data Q&A with Don DeLoach, CEO of Infobright Summary
 In this spotlight, Ron Powell asks Don DeLoach to talk about big data, columnar databases and Infobright's Rough Query capability.

Topics: Analytics, Columnar Databases
by Ron Powell | 0 comments		 06-07-2011
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 | 0 comments		 26-05-2011
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		 28-04-2011
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		 27-01-2011
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 | 0 comments		 28-10-2010
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 | 0 comments		 26-08-2010
Computed Attributes, Entity Resolution and Connectivity Hierarchies Summary
 David Loshin suggests that it is worth considering the potential of the types of computed or calculated data elements associated with data subject areas that are subjected to entity resolution. The end of the article poses an interesting question, and you’re encouraged to reply.

Topics: Information Management, Master Data Management (MDM), Data Profiling, Data Management, Social Media
by David Loshin | 0 comments		 29-07-2010
Data Governance and Data Architecture: Initial Thoughts Summary
 Because of the growing interest in enterprise-wide data reuse, there is a need for specific policies for data governance associated with different aspects of data architecture, with the intention of establishing a high level of maturity and capability.

Topics: Data Governance, Information Management, Architecture, Metadata, Master Data Management (MDM)
by David Loshin | 0 comments		 24-06-2010
Managing Data Quality in the Face of Organizational Change Summary
 The policies, processes, and procedures of an ongoing data quality program must be able to persist even in the face of change. This article provides examples of organizational change that have ramifications in association with an organization’s data quality program.

Topics: Information Quality (IQ), Data Quality
by David Loshin | 0 comments		 13-05-2010
Master Data Management Drivers and the Reliance on Data Governance Summary
 In the rush to realize the benefits of a master data management (MDM) solution, the deployment of MDM often precedes two important aspects of any significant undertaking. David Loshin cautions against this approach and provides a list of critical MDM and data governance concepts that should be considered prior to purchasing any tools.

Topics: Information Quality (IQ), Data Quality, Master Data Management (MDM) login required
by David Loshin | 0 comments		 29-04-2010
Application Contexts for Data Profiling Summary
 The review of some basic application contexts in which profiling plays a part, says David Loshin, will ultimately help to demonstrate how a collection of relatively straightforward analytic techniques can be combined to shed light on the fundamental perspective of information utility for multiple purposes.

Topics: Analytics, Data Quality, Data Profiling
by David Loshin | 0 comments		 25-03-2010

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