Resources


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    Business Knowledge Blueprints: Enabling Your Data to Speak the Language of Business

    By Ronald G. Ross

    The authoritative book on concept models (business ontology) and business vocabulary, written by one of the world’s foremost experts on both structured and unstructured data.


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    Business Knowledge Messaging: How to Avoid Business Miscommunication

    By Ronald G. Ross

    The problem we face today is inelastic engagement. If you’re drowning in a daily deluge of emails and virtual meetings, you know exactly what I mean.


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    Rules: Shaping Behavior and Knowledge

    By Ronald G. Ross

    Time for a fresh look. Rules are almost certainly not what you think they are. And that lack of understanding is holding us back.


  • Building Business Solutions: Business Analysis with Business Rules (SecondEdition)

    By Ronald G. Ross & Gladys S. W. Lam

    Building Business Solutions: Business Analysis with Business Rules provides a practical, proven, innovative guide to building great business solutions.


  • Business Rule Concepts: Getting to the Point of Knowledge (4th Ed.)

    By Ronald G. Ross & Gladys S. W. Lam

    The classic book in the field. Easy-to-understand explanation of business vocabulary, business rules and business processes … and how they relate!


  • Inside the Mind of an Organization: Concepts, Controls, Data, and Reality

    By Ronald G. Ross

    A new worldview for the AI era — one that treats concepts, controls, and data as the core elements of organizational mind-space. Why so many modern failures are not technology problems, but failures of meaning.

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    AIRA-COVID 19 Response

    Standardizing vaccine tracking vocabulary and building advanced
    data systems. Efficiently tracking vaccination information by
    demographic was critical to AIRA’s COVID-19 response in 2021.


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  • Merit America

    Building and empowering a new Data Team for the non-profit
    organization. New data organization, data infrastructure, and
    data systems.


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  • Four BRS Dimensions of Semantic Quality

    Business has a fundamental problem with data quality. In some
    places it’s merely painful; in others it’s near catastrophic.
    Why is the problem so pervasive?


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    Current State Analysis of Your Data – Part 1

    This article helps data leads understand how their organization
    currently uses data. The series will cover four main categories:
    Data Quality, Data Freshness, Data Culture, and Data-Driven
    Outcomes.


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    Current State Analysis of Your Data – Part 2 – Data Freshness

    This article is the second in a series taking a deep dive on how
    to do a Current State Analysis on your data. This article
    focusses on Data Freshness: what it is, why it’s important, and
    what questions to ask to determine its current state.


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    Current State Analysis of Your Data – Part 3 – Data Culture

    This article is the third in a series taking a deep dive on how
    to do a current state analysis on your data. This article
    focuses on data culture, what it is, why it is important, and
    what questions to ask to determine its current state.


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    Data Culture Issues and How to Fix Them

    Read more about a discussion of the three major causes and
    potential mitigation techniques of data culture issues, as
    published on The Data Administration Newsletter.


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    Understanding Data In Your Organization

    Discover how to use your company’s data to ensure better
    decision making, sounder reporting, or even data monetization.


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    What’s Your Data Culture Plan for 2023?

    Read more about renewing and refreshing an organization’s data
    culture, improving data trust, being intentional about data
    communications, and gaining support from senior leadership.


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    BRSdata Capability Matrix™

    Explore BRSdata’s capability map to discover services that fit
    your company best. The structure of data teams differs from
    organization to organization.


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    The Data Organization Spectrum

    Read more about the framework for data organization, as
    published in The Data Administration Newsletter. When trying to
    build out a data organization, it is important to consider how
    people will be interacting with data.


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    Your Next Data Skill is Stakeholder Empathy

    Read more about the importance of stakeholder empathy for data
    professionals, which involves looking at a problem from a
    stakeholder’s perspective, understanding their workflow, and
    anticipating their questions and concerns.


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