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Manufacturing & Supply Chain Management Power BI: Minimize Constraints & Maximize Production Context: $120M Revenue, ~550 FTEs, 8 locations Data: Epicor, Paylocity Challenge: Limited, delayed insight into: On-time delivery KPIs by day, week, and plant Employee-utilization Machine production efficiency Sales activity & performance Operational data from newly acquired companies Approach Address immediate reporting deficiencies: 42 hours over 16 business days: 4 KPI and exceptions-based dashboards highlighting issues with on-time delivery, refreshed daily. Rapid iteration of subsequent reports: 10 hours per dashboard to deliver remainder of the quoting, shipments, bookings, and plant variance dashboards. Full deployment took 293 hours of effort at cost of $60K; 4 BMI resources to develop visualizations on 465K transactions generated by 2 ERP systems. The only way to move a company forward is to keep the information and communication flowing.- VP, Information Services Situation Outcomes 28 reports refreshed up to 6 times daily to provide performance insights. All reports available by browser/phone/tablet/email. Shift to data-driven culture. 3.5 months into BI deployment there are 40 unique users (35 using sales reports and 17 using operations reports). Gaps in data exposed, leading to improved compliance on data entry and sales-funnel reporting.

Manufacturing & Supply Chain Management · Manufacturing & Supply Chain Management Power BI: Minimize Constraints & Maximize Production • Context: $120M Revenue, ~550 FTEs, 8 locations

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Page 1: Manufacturing & Supply Chain Management · Manufacturing & Supply Chain Management Power BI: Minimize Constraints & Maximize Production • Context: $120M Revenue, ~550 FTEs, 8 locations

Manufacturing & Supply Chain Management Power BI: Minimize Constraints & Maximize Production

• Context: $120M Revenue, ~550 FTEs, 8 locations

• Data: Epicor, Paylocity

• Challenge: Limited, delayed insight into:

• On-time delivery KPIs by day, week, and plant

• Employee-utilization

• Machine production efficiency

• Sales activity & performance

• Operational data from newly acquired

companies

Approach

• Address immediate reporting deficiencies: 42 hours

over 16 business days: 4 KPI and exceptions-based

dashboards highlighting issues with on-time

delivery, refreshed daily.

• Rapid iteration of subsequent reports: 10 hours

per dashboard to deliver remainder of the quoting,

shipments, bookings, and plant variance

dashboards.

• Full deployment took 293 hours of effort at cost of

$60K; 4 BMI resources to develop visualizations on

465K transactions generated by 2 ERP systems.

“The only way to move a

company forward is to keep

the information and

communication flowing.”

- VP, Information Services

Situation

Outcomes

• 28 reports refreshed up to 6 times daily to provide performance insights.

• All reports available by browser/phone/tablet/email.

• Shift to data-driven culture. 3.5 months into BI deployment there are 40 unique users (35 using sales reports and 17

using operations reports).

• Gaps in data exposed, leading to improved compliance on data entry and sales-funnel reporting.