Energy-Specific Data Endpoints & Visualization to Accelerate Time to Decision

Power Faster, Safer & More Profitable Decisions with Analytics-Ready Data & Self-Service Reporting

Simplify Data Consumption

Building on EnerLink data pipelines and EnerCore master data, quality control, and decision-ready datasets, EnerAct empowers teams to seamlessly share data across departments and partners with Google-like search, maps, and self-service tools.

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Oil & Gas Reporting

Provides highly optimized data structures and templates designed to support specific oil & gas business functions with interactive KPIs for lease operating expenses, volumes, capital spend overtime, well, zone, and play.

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Data & Docs in Context

Leveraging existing master data and document management systems, EnerAct brings all of your structured and unstructured data together in one place using a flexible oil & gas taxonomy and metadata.

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Jump Start Analytics & AI

Your entire team can connect to pre-configured views of clean, integrated oil & gas data, adjust, extend or create new views for analytics apps, plus engineer bigdata sets in your data lake for machine learning, AI, and data science.

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EnerAct Results

Better Access

A 10% increase in data consumption can increase a Fortune 1000 company’s revenue by $2B+.

Profit Increase

Organizations who prioritize big data management and analytics increase profits while decreasing costs by 10%.

Rush to AI

92% of enterprise companies are accelerating investment in big data and artificial intelligence.

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Have questions? Reach out now to schedule time with our data management and EnerHub experts. Or download our whitepaper to learn how EnerHub can accelerate business performance across the energy value chain, uplift margins, and set your team up to take full advantage of next gen analytics and AI.

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Top EnerAct Features

Pre-Built Templates

Generate actionable insights with financial analytics, lease jeopardy reporting, production analytics, well downtime and many more report types.

Web Portal

As easy as a Google search, users can create, search, and view wells and related documents with an intuitive user interface.

Map-Based Search

Locate and select wells using an intuitive cloud-based map.

Bulk Well Creation

Easily add a single well or bulk create wells with seamless edit integration with the EnerCore MDM Module.

Customizable Views

Analyze curated data with the visualization tools of your choice such as Power BI and Spotfire.

Export Anything to Anywhere

Export data from any view to take well data and related content to other applications.

Data Shop Talk

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Data is the NewBlack Gold

Like oil, data is a commodity with tangible value. The new black gold costs organizations millions of dollars to produce (think well logs, SCADA, leases, etc.). Importantly, energy companies make billion dollar decisions on their data, however, like gold, getting your hands on the right data to make crucial drilling or M&A decisions is ironically difficult as energy professionals are often knee deep in it. E&Ps and midstream companies need to get as good at gathering, processing, and distributing data as we have become with the physical movement of hydrocarbons.

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Frac Your Data for a Free Flow of Energy Intelligence

The digital oilfield is characterized by information sprawl, a landscape of data silos that span corporate network drives, databases, and the cloud. In the past, this was met with large data migration projects that attempted to warehouse an energy enterprises’ disparate data in a monolithic way. These types of projects, while still relevant in certain contexts, are expensive and slow to adapt to evolving business needs. But are data silos bad?

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Golden Records in the Digital Oilfield

“Multiple versions of the truth” is a phrase you often hear when talking about oil & gas data management. But what does this really mean? Substitute for “truth” any number of data types, like geological interpretations, land files, production volumes, or offset well data. In the digital oilfield with ever increasing volumes, velocity, and variety of data, we all too often contend with multiple sources (or versions) of data related to the same business object as well as duplicate datasets. The process of picking a single version of the truth to use in analysis is where master data management starts.