CASE STUDY

Manufacturing A Digital Edge

The Client is a leading specialized manufacturer looking to improve operational efficiency, inventory management, and product pricing to combat mounting inflation and turbulent supply chains. We partnered with their team to augment decision making with intelligent insights through a suite of cloud-based tools, improving profitability and supply chain efficiency. 

A New Appetite for Analytics

The Client was historically a very traditional organization, heavily reliant on an established client base and “shoot from the hip” decision making. However, mounting competition among industry players and the global pandemic forced company leadership to respond swiftly and strategically in order to continue growing and retain market share. Chief among the issues most relevant in this climate were product pricing, inventory management, and production efficiency. We began working closely with Client leadership to build an Insights Hub, delivering cross-functional insights to address these issues and set the stage for broader organizational change. 

"The team at Astral has transformed our data into a set of world-class dashboards and analytical tools. The tools & graphics are clean and intuitive, allowing for quick adoption. The entire Astral team is insightful, responsive, and speedy. We plan to use Astral as our primary data & analytics partner going forward."

Brian Evans, CFO

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Rapid Value. Continuous Improvement.

The Client's journey to an insight-driven organization began with collaborative data discovery and visioning workshops. During these sessions, the teams worked collaboratively to prioritize key initiatives based on business impact and speed to value. The team took a pragmatic approach in focusing on quick wins, incrementally introducing new analytics tools through rapid prototyping. This supported stakeholder buy-in while minimizing financial risk and providing tangible business value early and often. Data-driven insights were systematically introduced into day-to-day decision making.

Data-driven Insights Spanned the Value Chain.

The teams collectively determined that the first rapid prototyping phase would center around deeply understanding and predicting customer behavior to improve pricing and sales rep performance. The first step in this direction was building an Insights Hub to serve sales leaders direct insights into the performance of their teams in a personalized user interface, ensuring the information presented was meaningful and actionable. This quickly became an integral component in upskilling our Client’s workforce, decreasing time-to-decision and furthering analytics adoption across the organization.

As the company aggressively pursued strategic acquisitions after the onset of the pandemic, further operational challenges emerged. As its base of warehouses and distribution centers grew, allocating inventory became increasingly complex, compounded by extended lead times for raw materials. As such, the next sprint phases of the initiative centered around improving the efficiency of warehouse operations, building an interface to anticipate and reduce stockouts, proactively repair equipment, and better plan for supply shocks.

We started by optimizing inventory management, delivering on-demand insights into holding times, costs, and the number of buildable machines for each warehouse. We also automated the process of monitoring inventory for overflow and stockouts, previously a painstaking manual task. Additional insights supported the optimization of the Client's core manufacturing operations, granting an unprecedented view into machine uptime and downtime, production volumes, and raw material costs. Executives and plant operators alike experienced greater team cohesion and began shifting their decision making from reactive to proactive.

A Lasting Impact

Tight collaboration and cross-functional stakeholder involvement enabled the incremental development, deployment, and adoption of cloud-based Insights Hubs. A focus on iteration and continuous improvement allowed company leadership to overcome a slew of pressing challenges, driving increases in profitability and operational efficiency.

 

Our Client continues to work closely with us to support the maintenance and development of its data & analytics infrastructure to fuel sustainable growth.

270%

average ROI that Azure and Power BI achieve together

$100K

is the average cost of an hour of machine downtime

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