Improve Decision-making for Oil & Manufacturing with Automated Data Operations Case Study
- Industry: Oil & Manufacturing
- Location: Middle East
Introduction
Updating a database of current petrol prices is a significant task for multinational corporations involved in the energy sector. Time-consuming and error-prone, the manual process of compiling data from multiple sources impedes prompt decision-making. In order to get around these restrictions, an automated method for gathering and updating data was created.
- Salesforce Cloud
- User-Interface Setup
- Template Implementation
- Requirement Analysis
- Training and Support
Business Problem
The main problem was that managing petrol pricing data manually was both ineffective and unreliable. Among them were:
- Time-consuming data collection: It took a lot of work to compile data from many sources, including web APIs and scraped webpages.
- Process that is prone to errors: Manual data entry and manipulation raises the possibility of inaccuracies and mistakes by people.
- Restricted update frequency: The manual procedure made it difficult to update the database often, which resulted in out-of-date data and lost chances.
Our Solution
The following crucial features of the solution that was put in place to deal with these issues were:
Automated Information Gathering:
- Web Scraping and API Calls: To obtain data on petrol prices from multiple sources, the system used web scraping and API calls.
- Data Extraction: In order to store the information, pertinent pricing data was retrieved and organised.
Data Accessibility and Storage:
- Cloud Storage: To provide quick access and scalability, the gathered data was safely kept in the cloud.
- Excel Format: For easy data analysis and reporting, an easily available Excel format was also included.
Automatic Updates of Databases:
- Dedicated API: To initiate automatic changes of the petrol pricing database, a dedicated API was created.
- Real-time Synchronization: The most recent changes in the market were reflected in the database.
Outcomes
The international corporation experienced the following notable benefits from the deployment of this automated solution:
Enhanced Efficiency:
The manual labour and time required for data management were greatly decreased by the automation of the data gathering and update operations.
Increased Accuracy:
By doing away with manual data entry, the possibility of mistakes was reduced, guaranteeing the dependability and correctness of the information on petrol prices.
Improved Decision-Making:
The company was able to take advantage of market opportunities and make well-informed judgements thanks to real-time access to precise petrol pricing information.
Gains in Productivity:
By allowing workers to concentrate on higher-value jobs, task automation raised output and improved efficiency all around.
Tntra Diamond
Tntra's Diamond is a comprehensive approach to helping enterprises manage the constant interplay between Business Process Reengineering and Digital Transformation. Tntra’s domain specific methodologies lead to software services for mature systems and software product engineering for new requirements, further transitioning to a managed service model to ensure stability and scale.
Tntra's Diamond enables the enterprise to stay ahead of the transformation curve, while at the same time ensuring optimal business processes to meet the needs of the new economy.
