How Bad Data Changed the Course of History

The ripple effect is when one small inciting event has ramifications that expand far beyond, like a pebble thrown in a pond. The pebble may be small, but the rings that radiate from the initial splash keep growing. In today’s world, bad data is the pebble, and history has shown the large, looming, fatal consequences that misinformation can cause. Wars have been fought, companies have gone bankrupt, and entire civilizations have disappeared as a result of bad information. Check out the infographic below to see a snapshot of how the exchange of bad data and bad information has shaped who we are as a society.



Bad data hopefully has minimal effect on an outcome, however more often than not, a tiny overlooked detail can cause millions of dollars in wasted resources, time, and manpower. For example, in 1999, NASA lost billions of dollars in time, research, and equipment when the Mars Orbiter was lost in space. It was later determined that the manufacturers of the orbiter—Lockheed Martin—used English units of measurements when NASA scientists were using the conventional metric system. The mismatched measurements went undetected throughout the entire process and led to massive project failure.

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Is Your Bracket Busted? You Should Have Used Data.

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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3 Hot Topics from SAP-Centric EAM 2017

This week, Utopia headed to Huntington Beach, CA for SAP-Centric EAM. Here is a few of the most talked-about topics of the week:

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Data Governance – Not Just a Buzzword

It all started at ABC Company's Monday morning management meeting…

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How to Fall Back in Love with Your Data

Is your organization’s data a lot like a bad relationship? You started off aligned, complete and everything seems to click with immense accuracy. But over time, maybe just a few years in, things that once seemed so easy, get more complex. The time you want to spend “enjoying” your relationship data is overshadowed by the large amounts of time you spend troubleshooting, problem-solving and trying to figure out why it seems like your data wants to leave you broke and unhappy.

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What's the difference between SAP® Master Data Governance and SAP NetWeaver™ Master Data Management?

apple-and-orange-suvro-datta.jpgOne of the key differences, and I’m being very transparent here, is that SAP® NetWeaver™ Master Data Management is no longer going to be supported by SAP in the future. Everything is moving over to SAP Master Data Governance. From an apples to apples comparison of what is available to do in there the SAP NetWeaver Master Data Management platform is primarily used for you to start from scratch, build out what’s going to be governed, and how it is going to be governed. From a Master Data Governance (MDG) perspective your customers, suppliers, materials, products, financials, and assets are now provided to you with the best practices for your industry to start to put in place the foundation. In turn allowing you to now integrate them into that what your key business rules are, workflows, and approval process that you currently need to follow for your practices. It really moves you ahead much further in the governance practices right out of the gate.

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Operational Excellence in Heavy Asset Industries

Life as a plant manager can be a daily challenge. You are responsible for a smooth running operation which includes uptime, periodic maintenance, flawless production, operational efficiencies, and regulatory and safety compliance. In addition to trying to maintain the integrity of reporting and decision support systems at the same time. No wonder it takes a special kind of talent to run a multi-million dollar plant. This special talent remains hostage to accurate asset information.

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SAP® Best Practices for Data Migration – Hits and Misses

Data migration guru, John Morris, wrote “data migration is a business issue and not a technical issue.” Having been through many data migration projects myself, I couldn’t agree more. When choosing a framework for data migration one has to keep this in mind. Furthermore when it comes to migrating data into SAP, one needs to take into consideration a few other truisms, such as:

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Data Governance Benefits for Today and the Long Term

Data governance is defined as management of data to validate for accuracy as per the requirements, standards, or rules that an individual organization needs for their individual business.

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13 New Business Models Created By Big Data

Big Data is hitting enterprises at a time when we see the confluence of a number of other revolutionary changes, such as social networking, smart grid, smart sensors, GPS and smartphone location information. All manners of real-time data streams are adding to the volume, velocity, variety and complexity of the torrent of data coming into companies.

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