Four Pillars of Machine Learning Success

Posted by Tom Martin on February 21, 2019

It’s 2019 and we all hear ‘digital’ this and ‘intelligent’ that. Machine learning may perhaps be overtaking all others as the buzziest phrase of the day. But, unlike its buzz-worthy competitors, machine learning is real, its tangible and it’s already delivering big business value.

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IIoT Integrated ERP Systems... Are We There Yet?

Posted by Tom Martin on December 13, 2018

Enterprise Resource Planning (ERP) systems are at the heart of business. Across the entire organizational value chain, ERPs are rapidly consuming, aggregating and disseminating data. From the shop floor to the to the top floor, ERPs have made us smarter, more efficient, more accurate and ultimately, more profitable.

Most large, asset intensive companies have had ERPs in place for some time now. And yet, capturing, aggregating and distilling accurate data is still is a top pain point. Recent studies by KPMG and Gartner have found that 56% of CEOs are concerned about the quality of their data and that only 3% of company data meets a minimum threshold for data quality.

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What is 'Next' in Next-gen ERP?

Posted by Tom Martin on November 29, 2018

Our team has traveled the globe implementing Master Data Governance (MDG) solutions, providing expert consultation in Master Data Management (MDM) and supporting some of the world’s largest companies with our proven methodology and accelerators as they migrate to new systems. 

As we speak with our customers, analysts, R&D teams and industry thought leaders, we are continually assessing where Enterprise Resource Planning (ERP) is headed. Fueled by our industry discussions and pulse on the market, we see six big trends that will affect ERP in 2019 and beyond.

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Utopia to Make a Big Splash at Best Practices for Oil & Gas 2018

Posted by Tom Martin on September 13, 2018

It’s 2018 and the global Oil & Gas community is braving a “new normal.” With increasingly dynamic fluctuations in the global commodity trade, Oil & Gas companies are turning to effective enterprise asset management to increase output and efficiency to maximize margins and mitigate the global risk matrix.

Paramount to a successful asset management approach is the powerful and effective use of company data. With a desire to rationalize data characteristics and easy access to information, Oil & Gas companies understand that moving to digital business processes with simple classification systems and effective data governance can be game changing.

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