Category Archives: Data Modeling & Agile Technologies

What are the prerequisites for a large-scale AI initiative?

March 14, 2018

Sentient Enterprise and Artificial Intelligence (Part 1 of 2) Over the last few months, I’ve had the chance to engage with customers and industry analysts about a range of topics in the field of Artificial Intelligence, and I’ve been struck by how effective the Sentient Enterprise is in addressing the most common questions and misconceptions… Read More »

Defining a Successful AI Strategy for 2018: Key Thoughts from a Data Scientist

February 21, 2018

As the hype around AI continues, building and executing on an AI strategy that supports market competitiveness will be top of mind for executives. The AI pilots are complete, yet executives are still grappling with what AI means for their organisations. As the use cases develop and capabilities emerge, businesses will look to defining an… Read More »

The Future of Health and Human Services Data Modeling (Part 1)

May 15, 2017

The question was put to me “When will the IT industry provide reusable clinical and administrative data warehouses for the Medicaid enterprise?” It was a thought-provoking question that was well worth considering. Currently the healthcare insurance and provider industries are guided to target reporting that is defined by government regulation and motivated by financial incentives.… Read More »

Leveraging Our Past to Enable Your Future

September 12, 2016

By Rob Armstrong – As the saying goes; the more things change, the more they stay the same. Those of us fortunate enough to be in the data and analytic field over the past few decades certainly know that is true. While there has been a large change in the data types, data volume and… Read More »

Agile Development for Analytic Solutions

May 27, 2016

With every mistake, we must surely be learning, Still my guitar gently weeps—George Harrison  Our agile center of expertise has consulted and collaborated with many organizations implementing agile development for analytics. What is somewhat astonishing to me is that many of these companies began by jumping first into a framework, like Scrum, and then building… Read More »

Let’s Be Clear: DevOps and the Agile Approach

March 2, 2016

If you are a curious individual then, like me, when you hear a new buzzword of occupational interest, you Google it and try to understand what it really means and how it fits into what you do. Right? More important, you want to know how you can apply this to your everyday work life to… Read More »

The Joy of Data Viz: The Data You Weren’t Looking For

December 8, 2015

“A good sketch is better than a long speech” – Napoléon Bonaparte I recently came across this quote on the opening page of Phil Simons’ book,  “The Visual Organization, Data Visualization, Big Data, and the Quest for Better Decisions.” It is available online. Data visualization, or Data Viz as it is often referred to, is… Read More »

Data Modeling Requires Detailed Mapping — Learn Why

November 30, 2015

Mapping is an important step to understanding your data and where the data resides in your ecosystem. Mapping takes us from the known to the unknown and is effectively accomplished by using mapping tools, adopting best practices, and having a common understanding of how the mappings will be used. But mapping does take a considerable amount… Read More »

Pluralism and Secularity In a Big Data Ecosystem

August 25, 2015

Solutions around today’s analytic ecosystem are too technically driven without focusing on business values. The buzzwords seem to over-compensate the reality of implementation and cost of ownership. I challenge you to view your analytic architecture using pluralism and secularity. Without such a view of this world your resume will fill out nicely but your business… Read More »