Customer Company Size
Large Corporate
Region
- America
Country
- United States
Product
- Denodo’s Data Virtualization Platform
- DI Classic
- DI Desktop
- Production Workspace application
- Royalty-info
Tech Stack
- Data Virtualization
- RESTful web services
- JDBC
- ETL
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Cost Savings
Technology Category
- Platform as a Service (PaaS) - Data Management Platforms
- Analytics & Modeling - Data-as-a-Service
Applicable Functions
- Discrete Manufacturing
- Product Research & Development
Use Cases
- Predictive Maintenance
- Supply Chain Visibility
- Predictive Quality Analytics
Services
- Data Science Services
- System Integration
About The Customer
Drillinginfo is the leading SaaS and data analytics company for energy exploration decision support, helping the oil and gas industry achieve better, faster results. The company’s predictive decision platform combines intelligence, analytics, tools, and services in one seamless system to deliver value at every stage of the E&P process. Drillinginfo services more than 3,200 companies globally from its Austin, Texas-based headquarters, and has more than 500 employees on five continents. Drillinginfo’s primary goal is to enable key O&G market segments with information that drives business intelligence in these functions: decide where/how to drill and produce wells to generate the highest return (E&P companies); decide where and in whom to invest equity and debt financing (financial markets and M&A); and decide the highest potential business development opportunities (oil field services).
The Challenge
Drillinginfo's business growth drove the need for the company to build next generation products to support key O&G market segments. These products include applications to support well production and oil field services workflows, geo services for map analysis, a Geology, Geophysical and Engineering (GG&E) platform for interpretations and visualization, as well as a soon to be released mineral interest analysis application. Rapid time-to-market for these products and applications was crucial and this implied that the Data Tech team needed to deliver a data platform that supported the internal application development team quicker than they had been doing in the past. Also, rapid delivery of data directly to the customers was needed as well. However, the Data Tech team was challenged with integrating the data across the data warehouse, other data sources and providing it to the data consumers quickly. The product development team's delivery timelines were routinely at risk due to data availability and data consistency issues.
The Solution
Due to strength of the Denodo Platform to rapidly expose underlying data from source systems as data services, Drillinginfo decided to use the solution to manage and quickly provision all of the data to the product development team and its customers. Drillinginfo ETLs the regulatory agencies data into an internal data store that powers the DI Classic product. The production data is stored in another system called DI Desktop. The data from DI Classic, DI Desktop, as well as geo-spatial and Optical Character Recognition (OCR) data stored in other systems are then ETLd into their data warehouse. Drillinginfo has created a virtual data abstraction layer using the Denodo Platform above the DI Classic, DI Desktop, and data warehouse. The Denodo Platform connects to these data sources, combines the data and publishes the resultant virtual views as data services, which are consumed internally by the application development team, analytics and decision support applications, and application data marts, as well as externally by their customers.
Operational Impact
Quantitative Benefit
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