INDUSTRY SUCCESS STORY

Data-Driven Manufacturer:Managing Operations withSearch-Driven Analytics

MANUFACTURER

Highlights
Data-Driven Operations
Manufacturers are faced with razor-thin margins. They work hard to bring thebest products to market faster and more efficiently than their competitors
From supply chain and facilities management to product design and HR,
they are always looking to identify bottlenecks and optimize production
operations. Data captured at all levels of production help drive theseefficiencies.
One global semiconductor manufacturer produces billions of computer
chips each year. The faster and more efficiently they can move new ideas
through the development process and into the hands of customers, themore revenue they can generate.

Limited Views Slow Production

100 Users
Product Delivery, Operations,Customer Care

200 GB
Production Design, Microsoft,
Salesforce.com

1300 Searches
Ad hoc searches weekly acrossthe organization

For this semiconductor manufacturing company, engineering operations
teams are tasked with analyzing project plans and product design data
to build higher- performing products, reduce operational costs, and beatcompetitor devices. The teams used multiple BI tools— including Cognos,
Oracle OBIEE, and QlikView—to try and get visibility into product andoperations data.
Unfortunately, because these tools were too complex for the engineers
to use, they relied heavily on the BI team to set up their data and produce
reports for them. The overworked BI team struggled to get data intoengineers’ hands fast enough. And this proved to be a bottleneck of it’s own,
slowing production across product lines.

10% Cost Reduction
Engineers identified opportunities toreduce costs in product materials.

Using Search to Analyze Data in Seconds
Eliminating Bottlenecks
To give engineers faster visibility into operational data, the company neededa BI solution that would be easy enough for anyone to use, but would stillallow for analysis across multiple data sources.
Now engineering management can analyze headcount, design goals,
and project milestones by product and tier to optimize the entire delivery
process.
With ThoughtSpot they no longer have to wait for the BI team to create
reports for them, anyone can use search to analyze and drill down into anymetric.

“Now our BI team canfocus on strategic
projects, instead of being
distracted by a backlogof reports”- HEAD OF BI,FORTUNE 500 MANUFACTURER

Self-Service Analytics for All
Now ThoughtSpot is an integral part of the BI stack at this manufacturer:•The product delivery team is using ThoughtSpot to analyze test
result data from the subcomponents of microchips. They areperforming root-cause analysis by component and defect to see
what areas are causing the biggest problems and fix them quickly.
They are now delivering products to customers 10% faster.

•The engineering operations team is using ThoughtSpot to optimize
the supply chain, and have eliminated delays in the productpipeline.

•The customer service team is using ThoughtSpot to identify
trends around cases by customer, product and region—they have
improved productivity and customer satisfaction by 15%.

Total Material Cost, Avg Chip Area by Day

With access to search-driven analytics, business users at this manufacturing
company are performing 1,300 searches a week. Teams have been able toincrease productivity, reduce material waste, and streamlining operations at
all levels of the business.

www.thoughtspot.com(800) 508-7008