Visual analytics software for your entire company

We know Oil & Gas companies are dealing with fewer resources and greater financial pressures. VERDAZO was purpose-built to deal with these conditions. Watch our video to learn why it’s the best visual analytics software for Oil & Gas.

Enterprise-class software for Oil & Gas

Major value for your frontline users, your IT department and senior management.

Delivers bottom line value

By now, the stories are almost endless. Our clients have used VERDAZO to attract initial investors, to grow revenue without adding staff and to free up over 25% of their engineers’ time. They’ve found hundreds of thousands of dollars in unpaid revenue and made hundreds of millions in improvements in optimized completion designs. Learn more.

Maximize the value of your resources

VERDAZO creates alignment around people and processes, enhances communication across functional groups and improves your overall analysis capabilities. Ultimately, it ensures your people and your assets always deliver the maximum possible value.

Impact today, evolution tomorrow

Your organization will see immediate impact with VERDAZO – unlike with Tableau or Spotfire which require additional investments of time and money just to get started. Plus, our ongoing commitment to crowdsourced innovation means we’ll keep evolving to meet your future needs.

Industry-leading time to value

Users can do immediate analysis with VERDAZO by leveraging its targeted Oil & Gas analytics capabilities, crowdsourced workflows and pre-built templates. It’s so easy to use that they’ll often see value in the very first hour. No other data visualization software can make that claim.

Build a culture of analytics

To thrive in the future, an Oil & Gas company must make smarter, faster, and better decisions – with fewer people. That requires building a culture of analytics, where all users can access the consistent reliable information they need to innovate. Our software delivers all that.

Capabilities at a glance

Engineers & Operations

  • No more time-consuming or broken spreadsheets
  • Save the time, effort and cost of building your own tool
  • Incorporate all your Oil & Gas data sources
  • Do effective analysis from day one
  • Speed up your analysis with vast pre-built capabilities
  • Includes our Discovery Analytics methodology & workflows
  • Purpose-built for Oil & Gas
  • Embedded with industry experience, expertise & best practices

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IT Managers

  • Delivers consistent, reliable information
  • Centralized business logic
  • Provides enterprise-level scalability
  • Offers an open, configurable environment
  • Rapid implementation saves time and money
  • Flexible licensing structure
  • Not a build-it-yourself toolkit
  • Purpose-built for Oil & Gas

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Maximize your investment in analytics

Tap into our Oil & Gas expertise with custom training and consulting services.

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Our best content on Oil & Gas analytics

March 2, 2018 by

Machine Learning: Finding the signal or fitting the noise?

Before machine learning came along, a typical approach to building a predictive model was to develop a model that best fit the data. But will a model that best fits your data provide a good prediction? Not necessarily. Fortunately, there are machine learning practices that can help us estimate and optimize the predictive performance of models. But before we delve into that, let’s illustrate the potential problem of “overfitting” your data. Fitting the Trend vs. Overfitting the Data For a given dataset, we could fit a simple model to the data (e.g., linear regression) and likely have a decent chance of representing the overall trend. We could alternatively apply a very complex model to the data (e.g. a high-degree polynomial) and likely “overfit” the data – rather than representing the trend, we’ll fit the noise. If we apply the polynomial model to new data, we can expect it to make poor predictions given it’s not really modeling the general trend. The example above illustrates the difference between modelling the trend (the red straight line) and overfitting the data (the blue line). The red line has a better chance of predicting values outside of the dataset presented. Due to the powerful...

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February 20, 2018 by

Bertrand Groulx speaking on Smith Business Club data analytics panel

Verdazo Analytics President Bertrand Groulx is a featured panelist for Calgary chapter of the Smith Business Club of Queen’s University. The panel, titled “Leveraging Data Analytics in Your Business,” takes place Wednesday March 14, 2018 from 5:30-8:30 in the Petroleum Club in Calgary. The panelists will cover why employing analytics is a critical enabler of business and some of the common pitfalls to avoid when integrating and deploying them across an organization. Additional panelists at the event include Kaush Rakhit (President – Canadian Discovery Ltd., Upstream Oil and Gas Analytics, Data and Expertise), Pavel Rahman (Lead – IBM’s AI & Advanced Analytics Consulting Practice in Canada), and Simon Rivard (Manager – Ember Resources; Specialties: Oil and Gas Data Management). Register for the event and learn more here.

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January 24, 2018 by

Verdazo Analytics appoints Ryan Bielefeld to lead U.S. expansion

Verdazo Analytics today announced the appointment of Ryan Bielefeld as U.S. Sales Manager as part of its expansion into the U.S. market. Bielefeld will lead the company’s business development efforts and be based out of Houston, Texas. Previous to joining Verdazo Analytics, Ryan spent nearly five years in Account Management at Pason Systems, Inc., which acquired Verdazo Analytics last year. At Pason, Ryan split his time between Calgary and Houston. He focused on offering his clients integrated data solutions that enabled users to collect, manage, report and analyze real-time drilling data. He’ll continue that work in his new role, helping to further integrate Pason’s wealth of drilling data into VERDAZO software and the company’s newly launched Machine Learning Division. “We have the Oil & Gas industry’s best visual analytics software and we’re excited for Ryan to start sharing it with our new partners in the United States,” says Bertrand Groulx, President of Verdazo Analytics. Ryan brings deep industry experience and expertise, with over 20 years in upstream Oil & Gas, including multiple roles at Schlumberger, and Weatherford Drilling Services. “Our U.S. clients should expect the same thing our Canadian clients do: industry-leading service and best-in-class software that enables them to...

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