Since 2017, the firm’s US operation faced a significant change to its digital transformation strategy as they were acquired and needed to conform to the Corporate strategy. They sought out external expertise to advise them on ways to use technology and IoT data to allow production leads to track and adjust the process as needed. They were looking for a proactive real-time approach to utilize their manufacturing and quality data to correct their manufacturing process deficiencies when a problem was detected. To implement this AI-based approach, our data consultant had to identify and analyze all the possible data sources during the manufacturing process and design a centralized data extraction, transformation, and load (ETL) process across the entire manufacturing system nodes.
The company’s management approved a digital transformation strategy and budget to grow their data practice and data analytics for customers’ asset management. The goal was to increase customer retention and grow the preventive care side of the business. The CFO brought in our data consulting expert to advise them on ways to use data and technology to track and analyze customer’s needs. They wanted to offer a direct way for customers to add services and emergency requests, as well as show the before and after results of the services received. To implement this data-driven approach, the data expert needed to identify and analyze all possible data sources during the servicing process, contract SLA’s and then design a centralized data extraction, transformation, and load (ETL) process across the multiple applications and environments used to track services and orders.