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Data Infrastructure Blogs

Top 10 Reasons Why Digital Transformation Strategies Fail

Industrial organizations are always looking for improvements in operations management. Every so often, a big leap forward kicks off a new epoch for industrial companies. For years now, visionaries have recognized the massive potential digital transformation holds to be the next big leap forward. It has the potential to be the next revolution in operational performance improvement, bringing prognostics, months ahead predictions, and root cause analysis. So, where are all the digital transformations then?

There are many different reasons as to why digital transformation attempts have been stymied for industrial organizations. At Element, we’ve heard about them all, from tools that can’t work with the data to teams that don’t understand the challenges involved. We’ve helped our customers overcome many of these through our software, and we wanted to share some of the most common reasons we see for why digital transformation initiatives stumble...

OSIsoft Accelerating Digital Transformation

For those of us who enjoy geeking out on industrial data, the OSIsoft User Conference (UC) is our Woodstock (Coachella for you Millennials), not just an event but a happening. UC’s pack hundreds of industrial data use cases into a few days, and are go-to events for engineers and IT professionals from diverse industries (oil and gas, biotech, power generation, data centers, pulp and paper) who come together to share best practices about how to solve hard problems with industrial data. 
 
While the UC has been around since 1991 in the U.S. (each Spring in San Francisco), its EMEA version is only five years old and the recent London UC had an impressive 1,500+ people attend.  Our Element Analytics team is a regular UC participant.  We like to learn what’s new in OSIsoft’s world, how companies are solving problems with their data and how Element can collaborate with them. 
 
Here are our takeaways from the London EMEA UC...

Architecture of a Digital Twin Service

In part one of this blog series, Andy defined digital twins and their importance for asset operators, and in part two, Sameer gave an overview of the path of digital twin evolution. In the final post of this three part series, I'm going to discuss the process for building and managing Digital Twins (DT’s) throughout their evolution in order for them to provide value to asset operators.  I’ll touch on the four main stages for building and managing DT’s: Data Collection, Data Pipelines, Data Egress, and Data Integrity.

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Why Asset Operators Should Have Their Own Digital Twins

Digital Twins are a hot topic, landing on Tech analyst Gartner’s famed Hype Cycle and named a Top Ten Strategic Technology Trend for 2017.  Not a new idea (credit to Dr. Michael Grieves, 2002, Univ Michigan), Digital Twins are now at the forefront of Industrial /Internet of Things zeitgeist because they are essential to unlocking I/IoT value by enabling analysis, simulation and control of physical things and systems.

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4 Strategies for Getting Industrial Sensor Data onto the Cloud

I talk to a lot of IT leaders from industrial organizations who are working to get more value from the mountains of industrial data they collect by turning it into advanced analytics. It’s especially hard for them to determine a path forward, to find signals amongst the noisy bombardment from Industrial Internet of Things vendors. Pressure increases when the CEO returns from Davos wanting to know “When will Industry 4.0 be ready?”

Getting started quickly while containing risk is top of mind for these industrial IT leaders. Time and again we find ourselves discussing the same topics, especially why and how they should move analytical workloads to the cloud. The cost and performance advantages of moving analytics to the cloud are well understood, but IT leaders have concerns around how this move can be done in a scalable and non-disruptive way.

Because the cloud can unlock the greatest value from time-series sensor data and enable advanced analytics, we talk to IT leaders about these 4 strategies that we’ve adopted to help them on their way...

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