Customer Success Story: How Data Quality Helps Yorkshire Water Keep Their Clean Water Promise

Posted by Katie Mowery on July 9, 2019

Protecting the environment is at the core of Yorkshire Water’s day to day business. From supplying customers with a reliable source of clean water, to treating wastewater and returning it back to rivers. Find out how connecting multiple systems with over one million data points in total and managing the quality, consistency, and reliability of that data with SAP Asset Information Workbench by Utopia allowed Yorkshire to deliver on their promise of clean water to their customers.

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Kicking the Bad Habit of Bad Data

Posted by Katie Mowery on June 25, 2019

It’s time to face the reality... no more kicking it down the road... your organization just might have a data problem. Maybe it started with a few processes that broke down over time. Maybe someone left and took with them the knowledge of their homegrown data archiving strategy. Maybe manual entry or data manipulation destroyed the integrity of your change management. Regardless of how it happened, it has likely led to some enterprise-wide bad data habits. 

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It's Time You Had the 'Data Talk'

Posted by Katie Mowery on June 20, 2019

 A major step on the road to system modernization is the migration to a unified platform, in this case... SAP S/4HANA. While enterprises are prepared to invest in SAP S/4HANA, it’s critical to realize that you need to first invest in your data. You can have the nicest garbage can on the block, but the inside is still trash. 

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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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