Business Intelligence System For Plants
The customizable system integrates all the data about the production process into an easy-to-use web application, making cost analysis and planning of different scenarios much easier.
The client provides complex ERP systems for large enterprises, as well as audit and consulting services for manufacturing companies, helping them to optimize their work and financial statements.
Detailed information about the client cannot be disclosed under the provisions of the NDA.
Analysts of the client used to calculate all the costs and expenditures of different factories in cumbersome Excel spreadsheets. The more data were in the tables, the slower the program worked. Moreover, if it was necessary to add columns to the table (e.g. with new components), users had to change formulas within cells manually. That slowed down the analytical process and caused some human errors.
Our team developed a new part for an existing ERP platform from scratch, which covers the production structure, interrelationships between its components, cost calculation, and simulation.
Technologies & tools
The client had a clear vision of what the ideal analytical module should look like, so we got mock-ups of the interface and formulas to calculate the production costs. We solved the issues with everything else – software architecture, selection of the most suitable technologies and frameworks for flawless operation, frontend and backend development. Due to close cooperation of our Business Analyst with a strong financial background and the client’s analysts, together we managed to turn the complex logic of interrelations between all parameters into an efficient system of calculations on the Backend side and illustrative charts and tables on the user interface.
As the system was designed from the outset to be as user-friendly as possible it took just an hour to train employees working within a new module. Results became visible within a week of implementation: the preparation of reports became 3 times faster than before, and users got more time for closer examination of data and scenario simulation. This enabled analysts to come up with a more calibrated set of findings and recommendations for each factory within a shorter period of time, thus enhancing business value and increasing customer loyalty.
Moreover, our team has managed to keep the whole ERP system as secure as it used to be before modifications were made thanks to the machine learning algorithms not interacting with any vital data while analyzing only patterns and trends that come out of certain decisions and actions.
- 4 months for MVP;
- 9 months for full project (including 2 months of user acceptance testing).
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What happens next?
Having received and processed your request, we will get back to you shortly to detail your project needs and sign an NDA to ensure the confidentiality of information.
After examining requirements, our analysts and developers devise a project proposal with the scope of works, team size, time, and cost estimates.
We arrange a meeting with you to discuss the offer and come to an agreement.
We sign a contract and start working on your project as quickly as possible.