Unparalleled capabilities that enhance data governance

VERDAZO is software that can scale with your organization’s growth and offer consistent reliable information delivery. Watch our video to learn why it’s the best visual analytics software for Oil & Gas.

Enterprise-scale capabilities and sustainability

VERDAZO has more power and flexibility than any other Oil & Gas analytics software.

Consistent reliable data delivery

Stop relying on spreadsheets that break and burn up your users’ time. Create a single source of data truth across the organization that enables better communication and alignment, and reduces data maintenance costs.

Pre-built capabilities in a configurable environment

On top of a library of pre-built Analytics Accelerators, workflows and data visualization templates, VERDAZO offers an open, configurable development environment.  You can either scale it yourself or leverage our team’s skills and experience.

Cost-effective scaling for organizations of all sizes

Our software scales effectively and efficiently whether your organization has 10 people or 10,000. We also offer data integration services and a flexible licensing structure that lends itself to your evolving business needs over time.

Rapid implementation saves time and money

Our team will get yours up and running fast. We accelerate implementation by using our library of Analytics Accelerators, which are pre-built configurations for dozens of core Oil & Gas systems and workflows — all in an open, configurable, administrative environment. Over the years we’ve performed hundreds of implementations with thousands of users. We do it better than anyone else.

The enterprise-class analytics engine

VERDAZO delivers critical value all across an organization, catalyzing innovation while enabling scalability, repeatability, security and centralized, consistent business logic.

Capabilities at a glance

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

Learn how VERDAZO works for your IT Department

Whether it’s data integration and configuration, or broader Oil & Gas consulting, we’re the best in the business.

Let’s talk

Industry-leading Oil & Gas analytics content

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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