Knowledge Integrity, Inc.

Is data governance right for you? If so, get a jump-start on assembling your data governance program!

Knowledge Integrity is pleased to announce a new onsite training offering for companies exploring the creation of a data governance capability. Our one- and two-day training workshops have been developed as a mix of knowledge transfer and interactive sessions to lead organizations in prioritizing their data management objectives and scoping their data governance program.

Our one-day workshop is broken into four sessions, as shown here:

We are also able to customize training to best fit your onsite audience.

For scheduling and pricing, contact David Loshin (loshin@knowledge-integrity.com), or call 301-754-6350.

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We are pleased to announce that our teaming partner CORMAC has been awarded the Data Management (DM) five year IDIQ contract by Centers for Medicare and Medicaid Services (CMS), an agency under Health and Human Services (HHS). As a teaming partner, Knowledge Integrity will work with CORMAC in support of data administration task orders. The total contract value is $350 million.

The purpose of this contract is to provide the following services for CMS:

1. Data Administration
2. Database Administration
3. Middleware and Message Queuing Administration
4. Business Intelligence (BI) and Extract-Transformation-Load (ETL) Tool Administration and Production Support
5. Data and Information Products Production Support
6. BI Tool, Data and Information Products, and BI-Related ETL Build and Deploy Services
7. Training/User Support
8. EDG Legacy Application and Database Maintenance Services
9. IDR ETL Development, View Development and Database Administration

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David Loshin, president of Knowledge Integrity, shares some insight about meaningful use, incentives, data integration, and the need for standardizing data element structures for electronic health records.

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Interested in learning more about the Knowledge Integrity approach to data quality improvement? Check out the website for David Loshin’s new book, “The Practitioner’s Guide to Data Quality Improvement.” 

The book looks at practical aspects of building a business case, data quality assessment, data governance, and a range of processes that can be deployed to continuously measure, improve, and monitor data quality. In addition, David shares some templates and methods that are employed at many of Knowledge Integrity’s clients as part of their data quality management program.

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As of this past April, Knowledge Integrity’s GSA Schedule contract has been renewed for a period through April 5, 2014, enabling us to continue to provide information management services to Federal and State agencies using the terms negotiated and documented within our IT-70 Schedule price list.

In addition, we have added a new labor catgeory for principal consulting to help with instituting data management best practices across the public sector.

For more information, please contact:
David Loshin
mailto://loshin@knowledge-integrity.com
(301) 754-6350

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Vague feelings of poor data quality can hamper business activity by casting doubt on the data that feeds both operational and analytical processes. Yet the absence of clearly defined measurements to demonstrate how business impacts are attributable to erred data prevents developing an appropriate business case for introducing data quality management improvement. When resources are allocated to correcting “bad data” without being able to evaluate the root causes there is no ability to objectively evaluate the relationship between poor data quality and business performance. This suggests a need for an approach that can quickly identify high priority data issues whose remediation can be justified.

The objective of Knowledge Integrity’s rapid data quality assessment is to meet this need. Relying on our many years of experience in data quality analysis techniques, Knowledge Integrity analysts can execute this assessment as well as provide training and knowledge transfer, with a rapid schedule that can be adapted to best suit the client’s needs. The resulting report will describe and prioritize clearly identified data quality issues, recommendations for remediation, and suggestions for instituting data quality inspection and control for data quality monitoring. In addition, our analysts will provide templates and train your team members so that they can perform the rapid data quality assessment on subsequent data sets.

For additional details, and pricing quote, contact:
David Loshin
loshin@knowledge-integrity.com
301-754-6350

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Within the current economic environment, greater scrutiny is being placed on how poor data quality impacts business operations. Knowledge Integrity has been helping our clients identify critical data quality issues and linking those issues to critical business impacts, enabling some degree of transparency regarding the relationship between information and business success. Knowledge Integrity continues to research this area in alignment with different industries, such as financial services, healthcare and social services, insurance, manufacturing, as well as consumer products and telecommunications. A high level discussion of our process is described in a white paper titled

The Data Quality Business Case: Projecting Return on Investment

.

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David Loshin’s upcoming book on Master Data Management is being released on September 19, 2008.

The book provides insight into the business drivers for MDM, planning, data governance, architectural paradigms, and business guidance for launching an MDM program.

We are also hosting a new web site to accompany the book to keep readers up to date on MDM activities and ideas at www.mdmbook.com.:

You can order the book directly from Amazon using this link:

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Knowledge Integrity, Inc., is seeking self-motivated individuals with a passion for data! If you have an interest in information and data management, data quality, metadata, data standards, semantics, taxonomies, data modeling, master data management, data mining, or all of the above, Knowledge Integrity is the place for you. At Knowledge Integrity, our focus is on helping our customers to fully understand and best manage their information assets to most effectively achieve their business objectives. Our primary focus is helping our clients manage the rising tide of information arising from the collection, migration, transmission, use, sharing, and analysis of data.

Interested parties: please forward a resume, a writing sample, and a cover letter to: loshin@knowledge-integrity.com

We are currently staffing the following positions in the Washington, DC and Baltimore, MD areas to evolve our growing practices in information management data quality and data standards management:

DSM-01 Information Analyst

The Information Analyst will oversee the continued growth of our client’s information and data standards program, support on-going data standards activities, and encourage and guide new information and data standards activities. The Information Analyst will work with business managers, analysts, and IT analysts (data modelers, database architects/DBAs) to support our client’s innovative approach to collaborative information and data standards management. This position requires the understanding of the business relevance of the information. The Information Analyst will be the point of contact for the Data Standards Registry, a metadata-based utility for sharing standards information.

The Information Analyst responsibilities include:

• Overseeing the continued development and enhancement of information and data standards guidelines and governance documents, along with their adoption and applications.
• Managing the Data Standards Registry
• Coordinating collaborative efforts for defining commonly used business terms
• Reporting on the status of information and data standards initiatives.
• Developing and reviewing instructions for both form-based and online reporting.
• Reviewing submitted data standards candidates, and ensuring that data standards governance and guidelines are being consistently applied.
• Reviewing data standards, definitions and names for conformance to naming conventions.
• Developing practices for the conversion of paper forms into electronic data exchange documents
• Responding to questions about data standards-related practices and activities and documentation.
• Developing training material and providing training on data standards.
• Participating as a member of the Data Standards Steering Committee, Data Standards Oversight Board, planning meetings and taking and distributing minutes.
• Facilitating the administration of information and data standards activities of workgroups whose charters involve data exchange and/or data standards, including scheduling meetings, preparing meeting material, documenting meeting conversations, and preparing and distributing meeting notes and minutes.
• Working with cross-enterprise stakeholders and participants to help in their adoption of agreed-to data standards.
• Researching and adopting information and data standards industry best practices
• Reporting on the data standards program

Desired/Required Skills

The candidate should possess and apply a combination of strong analytical skills, attention to detail, and business and IT knowledge to help clients enhance the value, quality, usability and availability of information.

Strong communication skills are required – candidate must have superior writing and presentation skills. Samples must be provided.

Experience/familiarity with information and data standards, metadata management, data quality, data exchange, XML, and data modeling is desired. In addition, the candidate should have the following skills:

• BA and at least 4 years of professional working experience.
• Experience in developing workflow models and processes
• Experience in developing data standards
• Understanding of semantics
• Effective interpersonal skills and a record of high-quality customer support.
• Ability to handle multiple tasks simultaneously, respond well to ad hoc tasks, and meet critical deadlines.
• Experience with and understanding of databases.
• An understanding of information technology concepts Enterprise Architecture, Information Architecture, database models
• Proficient writing skills
• Project management experience
• Proficient in the use of Microsoft Word, Excel, PowerPoint.
• Experience researching, organizing, and presenting information for planning and tracking purposes.

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Important BI Concepts for New Graduates

Operational versus Analytical Master Data Management

Quantifying the Value of Data

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