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Experts Blog: David Loshin

Content syndicated from DataQualityBook.com
David Loshin, president of Knowledge Integrity, Inc, (www.knowledge-integrity.com), is a recognized thought leader and expert consultant in the areas of data quality, master data management, and business intelligence. David is a prolific author regarding business intelligence best practices, as the author of numerous books and papers on data management, including the just-published “Practitioner’s Guide to Data Quality Improvement,” with additional content provided at www.dataqualitybook.com. David is a frequent invited speaker at conferences, web seminars, and sponsored web sites and channels including www.b-eye-network.com. His best-selling book, “Master Data Management,” has been endorsed by data management industry leaders, and his valuable MDM insights can be reviewed at www.mdmbook.com. David can be reached at loshin@knowledge-integrity.com. governance programs.
  • The Internet of Things and the Need for Sense-Making

    My casual monitoring of data management buzz phrases suggests that, as an industry, we are beginning to transition our hysteria over “big data” to a new compulsion with what is referred to as the “Internet of Things,” (IoT). Informally, the IoT refers to the integration of communication capabilities within lots of different uniquely identified devices […] Read More of this Article from Davids's Blog

  • Mainframe Data Virtualization – New Technical Paper

    Hi Folks, I recently published a new technical paper on the use of auxiliary processors on IBM System z class machines to support virtualization of mainframe data that allows you to bypass the need for extracting data prior to using that data for reporting and analysis. You can access the paper, which was sponsored by […] Read More of this Article from Davids's Blog

  • The Emerging Criticality of Automated Test Data Generation

    A few years ago I was working on configuring a test for comparing data transformation and loading into a variety of target platforms. Essentially I was hoping to assess the comparative performance of different data management schemes (open source relational databases, enterprise versions of relational databases, columnar data stores, and other NoSQL-style schemes). But to […] Read More of this Article from Davids's Blog

  • Scoping the Information Management Practice

    Even if in reality the dividing lines for data management are not always well-defined, it is possible to organize different aspects of information management within a virtual stack that suggests the interfaces and dependencies across different functional layers, which we will examine from the bottom – up.  The lowest level in this diagram, file management, […] Read More of this Article from Davids's Blog

  • Business Goals for Information Policies

    Data governance is a practice for ensuring that policies about information acquisition, use, protection, and disposition are defined, approved, and importantly, observed across the organization. Information policies are defined in relation to business policies and must be aligned with the corporate mission. We can consider a variety of areas that are to be governed by […] Read More of this Article from Davids's Blog

  • What is an Information Strategy?

    I am assembling some presentations for a client on information strategy and thought it it might be interesting to share some of those thoughts as I develop my materials. This post provides a framing definition of information strategy. A strategy is a plan and set of policies intended to help achieve specific objectives. An information […] Read More of this Article from Davids's Blog

  • Business Considerations: Using Data Replication for Operational Synchronization

    Continuing dependence on system interoperability for data synchronization, coupled with rapid acceleration of data volume growth combine to create growing challenges associated with data consistency, accuracy, and reliability. Without a strategy for enabling operational synchronization, your organization risks not having the ability to support those critical real-time activities that business processes increasingly demand. Enabling operational […] Read More of this Article from Davids's Blog

  • Using Data Replication to Enable Operational Synchronization

    In my last post, we looked at some common use cases for operational synchronization, and each of those examples were effectively abstractions of scenarios in which there is benefit in establishing consistency and currency among either logically or physically distinct data assets. For example, creating a holistic and complete view of shared data entities is […] Read More of this Article from Davids's Blog

  • Use Cases for Operational Synchronization

    In my last post, I introduced the need for operational synchronization, focusing on the characteristics necessary for a reasonable methodology for implementation. In this post, it is worth examining some example use cases that demonstrate the utility of operational synchronization in a more concrete way. Creating a holistic/complete view: Operational aspects of an organization’s business […] Read More of this Article from Davids's Blog

  • The Need for Operational Synchronization

    Over time, organizations have employed a variety of strategies for managing data assets in accordance with the specific needs of the different business applications in operation. For the most part, applications were designed to achieve specific objectives within each business function. Correspondingly, any data necessary for the business function would be managed locally, while any […] Read More of this Article from Davids's Blog

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