Bridging the IIoT gap: How Information Technology (IT) and Operational Technology (OT) can Work Together

As companies across the energy value chain look for ways to become more efficient and agile, the Industrial “Internet of Things” (IIoT) offers attractive opportunities. Harnessing sensor data, machine-to-machine (M2M) communication and Big Data analytics enables oil and gas companies to take automation and efficiency to new heights, while creating the foundation for new business models. [Read more…]

Digital Disruption of Oil and Gas

The Oil & Gas Industry may have a reputation as a slow adopter of new technology, but it is no stranger to digital technologies. The digitization of field operations and production activities, administration processes and supply chain activities have all seen the adoption, to varying degrees, of digital technologies.
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Trading Information Management – Moving Beyond ETRM

Today’s energy trading and risk management (ETRM) systems offer a wealth of capability, with functionality covering the vast majority of the business processes of buying and selling commodities, from contract management through invoicing and accounting. Given that many of these systems are rarely fully integrated, few companies are able to answer fundamental business questions with them (such as P&L, deal profitability, and asset performance) without considerable time and effort to manually consolidate data and extract key information and metrics.
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Data Driven Models…The Tide of Opportunity


“There is a tide in the affairs of men which, taken at the flood, leads on to fortune; Omitted, all the voyage of their life is bound in shallows and in miseries.”
William Shakespeare (Julius Caesar)

It’s hard to escape the chatter about “big data”. Evangelists talk of volume, velocity and variety of data across business verticals and the impact that big data will have on traditional analytics. Certainly, surfacing trends and identifying relationships and correlations in a multivariate, multivariant and multidimensional system provides food for thought. But does big data without business context provide any knowledge that enriches upstream decision-making?
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