Insights

Unleashing the power of the six data nodes
In everyday life we are generating huge amounts of data which we are increasingly attempting to use for improved and innovative outcomes to meet corporate objectives. It is therefore necessary to think about managing our data efficiently to ensure it is accurate,...

People, Technology and Evolving Data Management
Data Fabric. Data Mesh. The latest buzzwords in the ever-growing data analytics community. Utility companies have been working on solutions to address their operational data and how to keep it organized and available. Each solution presents its strengths and...

Semantic Modeling for your Data Architecture to Reduce Cost of Analytics
Article originally posted on Utility Analytics Institute. What we see with our clients are that they want to gain more business value from their data. However, the initial direction they take make differ. Some clients focus on technologies while others focus on...

How effective is your data model?
Article originally posted on Utility Analytics Institute. An enterprise data model will help utilities drive value out of the data platform in fulfilling the holistic approach of semantic reconciliation, sourcing and data governance, as well as the application of data...

Does data lineage matter?
From the humble beginnings of ARPANET, the development of the computer and the internet has revolutionized the ways in which we perceive the world. As the endless deluge of information streams across our screens, one can’t help but feel overwhelmed. Indeed, one of the...

How does a pile of data become useful?
Too often we get caught up on desired outcome because we “know” what we want. We don’t take the time upfront to organize and ensure we have a foundation for how to move forward. Very similar to the approach I would take as a child getting a brand-new Lego set. Of...

Can your data model support your Next Generation Data Analytics? Part 2: Volume, Velocity, Variety and Value
In part 2 of this blog series the focus will be on the considerations of processing of the data volume, velocity, variety, and value. The content will drive to what are the core elements that one should consider.

Use weather data to make the grid resilient
We are facing an increased number of extreme weather events impacting public safety first and foremost and resulting in billion-dollar disasters. Tornadoes, hurricanes, freezes, and fires impact the ability of any utility to provide safe and reliable electricity to...

Can your data model support your Next Generation Data Analytics? Part 1: Modern Data Platform
As I started writing this piece, it became a bit longer because this question really involves two pieces, neither of which can be adequately addressed in a short form narrative. As a result, two related blog posts were created. One blog post, which you are reading...

On Ontology: Poetic Assertions
Parmenides of Elea was a Greek philosopher who lived 2,500 years ago. His primary surviving work is a poem often referred to as “On Nature,” the objective of which is to separate truth from opinion. “What is” and “What is not.” Parmenides is considered one of the...