Master Your Data Before it Masters You: Coffee Break with Game-Changers

Posted by Katie Mowery on February 28, 2019

Internet of Things: Special Edition Series of Coffee Break with Game-Changers Radio

Episode: Master Your Data Before It Masters You!
Originally aired: February 20, 2019
Hosted by Bonnie D. Graham

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8 Data Best Practices for a Successful M&A

Posted by Katie Mowery on February 27, 2019

Accurate, complete master data is essential for successful integration of acquired assets into an organization’s new or existing operations and maintenance environments. Whether you're leveraging machine learning, data quality tools/software or a team of data experts, there are some best practices that can help guide data integrity and system consolidation strategy for mergers and acquisitions?

  1. Ensure data is part of the timeline. As you consider and define your M&A timeline, realize that data tends to be one of the sticking points. Having a well-defined process and dedicated organizational team to manage process and data components drives the speed and success with which the systems integration can happen.
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Friday Fun: Data Buzzword Bingo

Posted by Katie Mowery on November 16, 2018

The words we all hear, say and repeat hundreds if not thousands of times as data professionals. Whether at conferences, on webinars or in meetings, keywords like Blockchain, IoT, ERP, Migration and more pop up everywhere, so Team Utopia decided to have a little fun with it. 

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Top 5 Data Quality Myths

Posted by Katie Mowery on August 6, 2018

It’s easy to accept myths as reality. If you hear something enough – it HAS to be true right? I spent most of my lifetime believing (and saying) “Lightning never strikes the same place twice” only to realize my mistake on a tour of the Empire State building when they announced that lightning strikes that building on average 100 times a year. Boy, do I hate being wrong!

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5 Biggest Challenges Facing Cities with Bad Quality Data

Posted by Katie Mowery on July 24, 2018

Even the smartest IoT technology available is not useful if it cannot be used to help predict assets’ maintenance needs, reliability, and how they should function in conjunction with other pieces of equipment in the larger ecosystem. That means the master data loaded into any system of record as a digital representation of those physical assets needs to be flawless – or your city/state/government will run into some major issues (and costly expenses).

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The Devil is in the Data: One Oil & Gas Company's EAM Realization

Posted by Katie Mowery on July 18, 2018

Enterprise asset management (EAM) is a strategy to provide an optimal approach for the management of an organization’s physical assets to maximize value. It covers items such as the design, construction, commissioning, operations, maintenance and decommissioning/replacement of equipment and facilities.  By managing assets across the facility, organizations can improve utilization and performance, reduce capital cost, reduce asset-related operating cost, extend asset life and subsequently improve return on assets (ROA).

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Best Practices for Data Migration to SAP® S/4HANA

Posted by Subramaniyam V on March 8, 2018

SAP® S/4HANA enables organizations to lower their operating IT costs by simplifying their IT landscape. However, every organization has different needs. Implementing a data management strategy is imperative for organizations to accelerate their movement to SAP S/4HANA in a cost-effective manner.

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The Big Data Behind Dating

Posted by Katie Mowery on February 14, 2018

In the age of internet dating, companies have made millions off users who rely on the 'secret sauce' algorithms that promise ultimate matchmaking abilities. With the rise of big data, dating websites quickly increased the amount of data they collected on its users. Questionnaire responses on likes/dislikes, personality traits and relationship goals formed part of the site’s growing data set. At the same time, the amount of users across the sites has increased significantly in the last 10 years, creating a large collection of data points. Through the development of machine learning algorithms, the online dating platforms should be able to predict with more certainty, matches that lead to ‘true love’.

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Legacy Effect: The Biggest Risks of Unreliable Data

Posted by Katie Mowery on June 27, 2017

When you get a group of a data-minded people together – we talk about, well… data. We can’t help but live and breathe it, because it’s everywhere. As consumers of data, we have all come to expect organizations to use it to enhance our experiences with them or to improve their own efficiency and processes. Unfortunately, due to our heightened sense of awareness, it’s painfully obvious when that data is wrong, out-of-date or just plain bad.

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Is Your Bracket Busted? You Should Have Used Data.

Posted by Katie Mowery on March 24, 2017

Let me start off by saying that this blog has no direct tie to our business... but at Utopia Global, data is always on our minds and there’s no better time to “think data” than during the NCAA March Madness tournament.

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