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| About Knowledge
Integrity |
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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
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| Management |
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President
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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.
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