Data Modeling Blogs

You’re Building the Wrong Twin!

Everyone is talking about Digital Transformation, Industrial Analytics, IoT, and Industry 4.0. Much of the discussion advocates a crawl, walk, run approach by taking on the low hanging fruit of smaller, limited use cases using Proof of Concepts (POCs). This typically requires a lot of data wrangling to be completed before the use case can even be executed. More often than not, these data wrangling activities enable just one use case. So when things change operationally, applications fail and they lack the scalability to be deployed enterprise-wide.

If you find yourself manually mapping data, building specialized integrations, or manipulating 40,000 row X 26,000 column spreadsheets then you need to consider whether the solution will scale across your organization and provide you with the runway that supports you as your operations and use cases change over time.

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Treat the Whole Machine

360 Degree View of the Patient

Lately, my daughter and I have been binge watching doctor shows. In most episodes, patients are wheeled in presenting symptoms that need immediate attention. The doctors and surgeons work the obvious symptoms but sometimes prescribe treatments that don't address or, even worse, even mask more severe, underlying problems. Our heroes, Dr. Sean Murphy in The Good Doctor and Nurse Nic in The Resident, save the day by picking up bits of patient context from a conversation with a family member, an overlooked x-ray, a buried report or some other stray clue that leads to a brilliant moment of clarity and a prescriptive recommendation that saves the patient's life.

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