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About Knowledge Integrity

In any organization that relies on the use of information to reach business objectives, there is a clear understanding that the quality of information has a significant impact on the ability to achieve business goals. In addition, legislation has been passed within recent years, affecting both the public and private sectors (e.g., The Data Quality Act of 2001, Sarbanes-Oxley Act of 2002), requiring more comprehensive tracking and reporting on the quality of information. Over the past 5 years, Knowledge Integrity, Inc. has developed technical and management methodologies for instituting Information Quality programs within organizations to enable the analysis, assessment, and improvement of data quality for reporting, operational, and business intelligence purposes in a way that uses leading edge computing technologies coupled with high performance computing systems.

At Knowledge Integrity, our mission is to be a primary integrator of high performance information management methodologies to enable organizations to fully understand and manage their enterprise information resources. With our expertise in the areas of high performance computing, knowledge management, data quality, data mining, and scalable system development, we integrate our information management methodologies with advanced technology to address common business problems arising from the collection, migration, transmission, use, and analysis of data, with a primary focus is in helping organizations cope with managing the rising tide of information. To satisfy our clients information quality needs, we provide technical consulting and customer system design focusing on all aspects of information management systems, including Data Modeling and Meta Data Solutions, Data Quality Assessment, Data Quality Architecture, Data Cleansing Services, and Data Integration.

Our specific services include technical consulting, training, and custom system design and implementation for:

  • Data quality assessment
  • Data quality business case analysis and development
  • Business rules-based systems
  • Ongoing data quality monitoring
  • Data quality reporting
  • Comprehensive Data Quality Management program development
  • Data quality management coordination
  • Data standards development and implementation
  • Systems for information exchange
  • Data quality problem diagnosis and root cause analysis
  • Information management needs assessment
  • Assessment, design, integration, and deployment of information management, data quality, metadata, data mining, and business intelligence tools and platforms

In addition, we provide technical consulting and custom system development to assist in integrating and optimizing the performance of scalable high performance and high productivity systems. With staff members having as much as 20 years of experience in the area of High Performance Computing (HPC), we are able to assist in the design, selection, and deployment of HPC platforms and applications. Our specific services include:

  • System and software performance analysis
  • System and software performance optimization
  • Support of analyzing usability of HPC environments and programming languages
  • Programming language development
  • Complier development
  • Parallel and Distributed computing
  • Parallel application development
Management

President

David Loshin is the president and principal consultant at Knowledge Integrity, which he founded in 1999.David is the author of "Enterprise Knowledge Management - The Data Quality Approach," (Morgan Kaufmann, 2001) which describes a revolutionary strategy for defining, managing, and implementing business rules affecting Enterprise-wide knowledge management and information compliance. 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 (www.tdan.com) and is a featured monthly columnist for www.businessintelligence.com. David's latest book, "Business Intelligence: The Savvy Manager's Guide" was published in June 2003. In addition, David was invited to create and teach a graduate-level course on Data Quality at New York University, has been asked to create a course on "Business-Rule Data Validation" for the Data Warehousing Institute, and has taught a tutorial on data quality at the Information Impact Information Quality Conference 2003.

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. David's previous books focus on scalable high performance computing, both at the hardware level ("High Performance Computing Demystified," AP Professional 1994) and at the software level ("Efficient Memory Programming," McGraw-Hill, 1998). David's contributions to High Performance Computing have been recognized by both Sun Microsystems and Compaq/HP, who have both contracted with Knowledge Integrity to provide consultation on improving the performance of their different compilers.

 

 

 
 
© 2005 Knowledge Integrity, Inc

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