Category: Information Science

  • A celebration of our United achievements at Morasha Olami

    A celebration of our United achievements at Morasha Olami

    A celebration of our United achievements at Morasha Olami Olami is a top to bottom use case for the successful application of Business Architecture, Information Management and Operational Strategy to mature organizational capabilities Olami sent me off with an amazing celebration of our team’s game-changing accomplishments for this organization during the two years of #covid lockdown. IMHO the […]

  • Data is not a bi-product of your business: Stop treating it as one

    Data is not a bi-product of your business: Stop treating it as one

    Perspective I often encounter good people struggling in their jobs to fulfill their most basic responsibilities. This might be closing a deal to up or cross sell to an existing customer, booking an order, fulfilling customer orders, providing basic customer support, and billing. These professionals, expecting these to be established or easily matured capabilities, instead […]

  • Information Maturity Is Undermining the Ancien Regime!

    Information Maturity Is Undermining the Ancien Regime!

    Perspective As Marc Andreesen said, Software is eating the world, and in the process generating such quantum changes in information volume, variety and availability in its wake, that its universality is imminent. This has the potential to shatter ancient core beliefs that underlie everything we know. Really? Come on! Yes. Information is very important. It […]

  • Data Lakes Mitigate Risks To Deriving Insights From Regulated Data

    Data Lakes Mitigate Risks To Deriving Insights From Regulated Data

    Perspective Organizations generate reams of data in the course of planning, executing, and operationalizing business strategies. Innovating through information depends upon an organization’s ability to make datasets from multiple information systems available to data analysts for use in their respective analytic environments. But innovating with regulated or “controlled” data (e.g., PII, PHI, and PFI) presents […]