CASE STUDY
Building a smarter factory: Data infrastructure as the backbone of industrial innovation
IMPACT SUMMARY
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0
%
Data reliability
Error rates dropped from 1 in 12 to 1 in 25
$
0
M
Annual cost savings
Efficiency gains from scrap reduction & downtime.
0
x
Analytics query speed
From minutes to seconds on core queries.
+
0
K
Parts tracked monthly
IoT-tagged SKUs enabled full traceability.
Project Snapshot
A global manufacturer of precision components was struggling with outdated data
infrastructure that couldn’t keep pace with the demands of its smart factory initiatives.
Spreadsheets, disconnected ERP instances, and legacy SQL servers made it nearly
impossible to get a real-time view of operations. Teams lacked trust in reports, data silos
slowed analytics, and downtime analytics were reactive instead of preventative—costing
time, money, and competitive edge.
Our Solution
We rebuilt their data foundation—consolidating fragmented sources into a modern,
governed data lakehouse architecture. AI agents mapped relationships across ERP, MES,
and sensor systems, while consultants standardized SKUs, hierarchies, and governance
protocols. Real-time data pipelines now power a single source of operational truth,
enabling predictive maintenance, scrap reduction, and agile inventory control. What was
once reactive is now real-time—supporting smarter decisions from the floor to the
boardroom.
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Move past the hype. Get real world results – fast.
Move past the hype.
Get real world results – fast.