David Loshin

David Loshin

Business Intelligence and Data Management Authority

Speaker Categories: Information Technology | Growth | Information Technology | Headliners - Technology

Travels From: MD, United States.

Speaker Fee Range: $5,000 to $10,000*

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David Loshin Bio
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Business Intelligence and Data Management Authority

David Loshin is president of Knowledge Integrity, Inc, a consulting and development company focusing on customized information management solutions including information quality solutions consulting, information quality training and business rules solutions. David is a recognized thought leader and expert consultant in the areas of data quality, master data management, and business intelligence.

Information Quality

David is widely recognized as an expert in Information Quality, frequently contributing to Intelligent Enterprise (whose editor, Justin Kestelyn, described David as "Our resident expert on Data Quality"), a monthly columnist for the online community datawarehouse.com, serving on the Editorial Board of DM Review magazine, started writing a monthly column for DM Review in October 2002, is a quarterly featured columnist for the Data Administration Newsletter and is a featured monthly columnist for Business Intelligence.

Business Intelligence

David is a prolific author regarding BI best practices and numerous books and papers on BI and data quality. Loshin is the author of The Practitioner's Guide to Data Quality Improvement, Master Data Management, Enterprise Knowledge Management: The Data Quality Approach and Business Intelligence: The Savvy Manager's Guide.

Speaker

David is concerned with maximizing the value of information. He speaks frequently at conferences and creates and teaches courses for The Data Warehousing Institute and other educational organizations.

Career

David is a veteran of the Financial Industry, having worked for Morgan Stanley for their IT Division in Options Pricing and Securities Processing. At MSDW, David worked on automating the generation of code for creating options pricing objects, and later assisted in the accounts renovation project, creating inline data validation routines for preventing duplicate customer account creation. Prior to MSDW, David was a senior compiler designer for Thinking Machines Corporation, a pioneer in Massively Parallel Processing, where he focused on performance optimization, code optimization, and automatic parallelization.

Data Governance

This program introduces the fundamentals for developing an organizational data governance program, and provides a high level guide for managers and practitioners in aspects of data governance, including the general roles of data governance committee members and data stewards, “data characteristics,” defining data policies, data quality assessment, measurement, and monitoring, data incident tracking and management, metadata and data standards, and organizational data governance expectations.

The Analytics Revolution: Optimizing Reporting and Analytics to Make Actionable Intelligence Pervasive

By transitioning from an organic evolution of corporate business intelligence and analytics environment built on top of a myriad of technology components to a strategically architected end-to-end solution, your organization can gain a rapid time to value through real-time, integrated analytics, resulting in advantageous intelligence delivered to the appropriate decision makers at the right time.

New Paradigms for High Performance Analytical Computing

MapReduce and its companion technologies are not a replacement for an interactive analytical database system, but there are specific business processes/applications that benefit from using both in a collaborative manner, particularly where the results of a MapReduce application feed the types of comprehensive analysis and reporting provided by analytical database systems. This speach is intended to consider both approaches, explore their similarities and differences, and demonstrate that a certain synergy can be achieved through a collaborative use of the two approaches.

Five Fundamental Data Quality Practices

By combining good data management practices with the right technology platform, an organization can fully incorporate data quality into the enterprise architecture. This speech identifies these practices and looks at the core data services upon which these practices rely.

Core Data Services – Basic Components for Establishing Business Value

This presentation explores how a consolidated set of value-added data services that span the scope of data management best practices can reduce operational costs, increase efficiency and improve the quality and utility of enterprise data.

  • Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
    Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph Purchase Book
  • Business Intelligence - The Savvy Manager's Guide
    Business Intelligence - The Savvy Manager's Guide Purchase Book
  • Enterprise Knowledge Management - The Data Quality Approach
    Enterprise Knowledge Management - The Data Quality Approach Purchase Book

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Recent Books

  • Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph
    Big Data Analytics: From Strategic Planning to Enterprise Integration with Tools, Techniques, NoSQL, and Graph Purchase Book
  • Business Intelligence - The Savvy Manager's Guide
    Business Intelligence - The Savvy Manager's Guide Purchase Book
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