To consolidate multiple data sources on a single digital platform and provide easy access to business user and digital product data.
SIBUR is a large company with a vast and diverse IT landscape. SIBUR’s IT systems can be divided into several categories: manufacturing systems that generate data flows from equipment, accounting systems, and systems that emerge as part of digitization projects, including mobile apps, Internet of Things platforms, etc.
“We are tasked with end-to-end data analysis. We have to make data accessible to our digital products and provide an ecosystem and capacities for predictive analytics products. Our biggest problem is the sheer number of systems that contain duplicate data, which translates into low confidence in the data used by the company. The task of gathering and analyzing data is both complex and labor intensive, and it takes a long time to create new tools for data analytics. Moreover, some business needs simply cannot be satisfied,” says Artem Danilov, Head of Infrastructure and Technologies at OOO SIBUR. Therefore, it is important to unify data and provide it to users in an accessible format to enable them to make quick, knowledge-intensive decisions based on data, instead of professional experience, as part of the digitization of the business.
The chosen strategy involves the development of self-service data analytics tools. Using the new technologies, employees of various business divisions should be able to quickly and effectively analyze data without any in-depth technical knowledge.
“We must teach users to not only generate reports, but to conduct serious research, including ABC analysis, regression analysis, etc.,” continues Danilov. “The company has a lot of data that is both complex and interesting, so we’d like people in various departments to be able to perform this kind of analysis.” With simple access to manufacturing databases and a user-friendly interface, a motivated specialist will always be able to solve problems of any level of complexity.