Dealing with complexities

In a low spend and high innovation environment, manufacturing companies have to focus hard on balancing operational efficiency with technological advancements that affect internal consolidation and global supply chains. Rapid product development have accelerated new approaches like additive manufacturing technologies that offer reproducibility at scales even larger than before allowing new entities to upstage existing establishments.

As markets mature, the design function needs to rely on extensive use of simulation methods to work through more choices and arrive at marketable products. Being local and global is a requisite mind-set that has led to industry-wide change in practices and upgrading of skill sets across regions. Today channel sales and direct sales in large markets, especially in emerging countries, are decentralised with much less control on the last mile.

These challenges are all surmountable provided data is recognized as being one of the fundamental enablers of change, operational efficiency and quality, especially when coupled with the appropriate systems and processes.

A Data Driven Internet of Things (IOT) Revolution

Technology penetration has resulted in instrumentation of data collection right from the assembly line to the end customer’s interactions with products and services. The Internet-of-Things (IoT) is increasingly allowing measurability of processes, people and products at a micro level that was unimaginable even a few years ago. Manufacturing sectors, especially those of advanced high-technology specialisation, have had to deal with massive amounts of data for decades now. To truly benefit from the revolution driven by IoT, however, it becomes necessary to have a scalable end-to-end data processing pipeline that is able to collect, analyse and act on the mass of data in quick time.

Homologation of product designs and functionality across locales, managing product bill of materials complexity and quality are also becoming more data-driven. Quality testing driven by data will move from aggregate statistics and sampling methods to the more efficient simulation modelling and root cause analysis, thus reducing downtime. Data-driven dashboards can be built in every stage of the manufacturing the, allowing the management function to take decisions that drive value across the board and enable targeted sales to customers in a more personalized manner.

The Data Team can assist manufacturing companies to adopt data as the fundamental enabler in improving profitability, achieve operational efficiencies and drive innovation.