SLB
Automating Data & Reporting on Azure with 99.9% Data Accuracy
Our Azure experts implemented an end-to-end automated reporting platform that aggregates data from Azure SQL and Google Analytics, visualizing it with the help of Power BI.
Houston, Texas
Oil and Energy
Large Enterprise
About The Client
SLB - Formerly Schlumberger
SLB (formerly known as Schlumberger) is a global technology company that leads innovation in the energy industry. They are headquartered in Houston, Texas. They operate in more than 100 countries, with an annual revenue of $36.07 billion, providing cutting-edge solutions to customers across the oil and gas, geothermal, carbon capture, and renewable energy sectors. They are committed to pioneering technological advancements to address the complex energy challenges globally.
THE PROBLEM
Fragmented Data and Manual Reporting Bottlenecks
The Oil Field Marketplace (OFMP) team at SLB saw itself at the crossroads of being unable to utilize operational data effectively. Data from Azure SQL Database and Google Analytics was siloed and demanded manual work for extraction and reporting. This continued dependence on the technical teams and DBAs to satisfy reporting needs created bottlenecks in the following areas:
Delayed data access slowed down managers in analyzing the data needed for critical business decisions
Lack of tools made non-technical teams unable to generate their own reports
Manual data extraction posed the constant risk of errors and discrepancies across reports
Inability to consolidate data from multiple sources to oversee a holistic business performance
Inefficient utilization of technical resources as they were constantly distracted by routine data extraction tasks from the DBAs
OUR SOLUTION
An End-To-End Automated Data Reporting Platform
Folio3 partnered with SLB to design and implement an Azure-powered data ingestion and reporting solution:
Automated Data Ingestion
and Transformation
Utilizing Microsoft Azure’s data services (Azure Data Factory and Azure Databricks) to upgrade manual data consolidation to efficient data ingestion from Azure SQL Database and Google Analytics, and improving data quality, respectively.
Centralized Data Lake
Serving as a central repository for all raw and processed data, laying down a secure and scalable foundation.
Unified Visualization & Reporting
Using Power BI
Delineating complex operational data in interactive dashboards and reports using Power BI. This was made accessible through the OFMP portal.
Energy/Oil & Gas Dashboards & Reporting Suite
From order details to product health KPIs and sales realized per category/brand/product, and distribution is holistically reported through the dashboards backed by Power BI:
Order Details
Product Health
Sales By Category/Product
Sales Distribution
Order Details
Product Health
Sales By Category/Product
Sales By Category/Product
Visualizing sales performance across different categories and individual products.
Sales Distribution
Business Outcomes
The implementation of an automated data reporting solution powered by Microsoft Azure Data Services delivered significant and measurable results to SLB’s OFMP team, giving them the ability to efficiently extract, transform, load and report their data.
Self-Service Analytics
Gaining direct access to data and reporting tools reduced massive dependence on the technical teams and DBAs and increased their productivity by 5%.
Real-Time Visibility
The creation of a unified reporting platform provided instant insights into key operational metrics such as:
- Tracking and optimizing vendor contributions.
- Real-time tracking of order statuses and trends.
- Highlighting highly demanded products and market trends.
- Analyzing customer interactions and understanding their preferences.
Improved Data Accuracy
Achieved 99.9% data accuracy through automation of data ingestion and reporting, paving the way for more reliable data to work with.
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