Our new industrial era poses a paradox for every manufacturer. The increased revenues driven by high consumer demand often conceal the pressure felt on margins due to rising material costs and constant labor shortages.
Consequently, many manufacturers seek supply-chain innovations to optimize their asset utilization, reduce production waste, minimize re-work, and produce reliable lead times. However, none of these efficiencies are possible without a modern data infrastructure.
DBTA recently held a webinar featuring Clive Bearman, director, content, product and marketing strategy, Qlik; Chris Atkinson, partner CTO, Snowflake; and Naresh Agarwal, associate vice president - digital manufacturing, LTI, who discussed how to transform a company’s existing decision systems into an analytics powerhouse for digital manufacturing.
The manufacturing industry is undergoing a disruptive shift, according to Agarwal. Data driven digital transformation is the key to staying relevant.
In this new industrial era, it becomes very important for enterprises to optimize their asset utilization, production, and supply chain, minimize re-work and reduce nominal lead time for the end products to reach consumers, Atkinson said.
Most organizations struggle to make actionable data available, let alone turn it into business value, Bearman explained. What Qlik does is help organizations turn data into business value by providing an end-to-end data analytics pipeline.
Bearman offered 3 top tips for digital transformation starting with building the right team. Becoming data driven requires multiple skills and beyond the team, organizations have to find the right technology, the right domain expertise, and the right partners.
The second tip is automating the analytics data pipeline, he said. Manual coding takes time and delays discovering insights. Automation is the key to productivity.
And tip number three is to make sure to architect for change to support data in motion. Bearman also offered a bonus tip to “use change data capture for SAP data integration.”
By using a combination of Qlik, Snowflake, and LTI, companies that are in the midst of transforming their manufacturing process can benefit from lower TCO, become more modernized, simply technology, and increase cloud scale and performance, Atkinson said.
An archived on-demand replay of this webinar is available here.