With over 15 Years of experience in the Oil and Gas industry serving customers across upstream, midstream and downstream, and across Industry sectors, we use Data Science to help organizations to understand what happened, what could happen, and what should happen?
Efficiently capture millions of records from ELD devices, Inventory tanks, fuel sales in a scalable computation intensive platform
Manage and Track accruals and allocation of expenses and receivables at a transaction level for analysis, reporting and decision support.
Manage stream of data like OPIS pricing, fuel price indexes that are changing frequently using a streaming and messaging platform.
Understand and get detailed insights on fuel inventory, pipeline movement through dashboards and metrics.
Predict fuel run-out, contract compliance deviation, device communication failures and forecast demand.
Identify and recommend optimization strategies like where to increase drivers, equipment and management of schedule.
Establish a scalable, process efficient data platform to facilitate Data Science and Analytics
Embrace self service reporting, dashboards and visualization for decision support
Enhance the process of decision making through predictive and prescriptive analytics
Extensible platform to support a wide array of data sources
Application of data mining and refining techniques
Make data meaningful to the extent you desire
The concept of applying data engineering principles to create a data platform is key to establishing a successful data science practice. The wide array of data sources would include transaction data, sensors, IOT, logs and data streams/feeds. The exploration and transformation of datasets are handled using platform specific data pipelines. The datasets are further enriched to have a semantic model for efficient analysis in a structured format.
Establish a Reporting Platform
Executive, Operational and Reactive Dashboards
Effective and Representative
Business intelligence-drive business intelligence reporting through self-service methods with an effective data governance. Metrics, performance and overview through drill-down dashboards. Advanced visualization techniques for better interpretation
Gain Insights from historical trends
Forecast the likelihood of future outcomes
optimize for best outcomes
Advanced analytics - descriptive analytics drills down into data to uncover details such as the frequency of events, the cost of operations and the root cause of failures. Predictive analytics provides answers that move beyond using historical data as the principal basis for decisions. Prescriptive analytics provides recommendation for better outcomes.