Manufacturing is in the middle of a digital reinvention. Industry 4.0 promises smart factories, AI-driven optimization, and integrated supply chains. But to get there, manufacturers need analytics platforms that can actually bring IT and OT (operational technology) data together.

That’s where Explo and Snowflake come in. Together, they help Manufacturing Tech providers turn massive, complex datasets into actionable insights—right where operators, engineers, and decision-makers need them.

The Manufacturing Data Divide

Manufacturers generate vast amounts of data from two main sources:

• OT: Sensors, PLCs, SCADA systems, machine telemetry
• IT: ERP systems, MES software, supply chain databases

But these systems rarely talk to each other. As a result:

• Teams operate on outdated or incomplete info
• Data analysts spend more time wrangling than analyzing
• Decision-making lags behind production realities

Explo + Snowflake: Built for Manufacturing Analytics

Snowflake can ingest, process, and store both IT and OT data at scale. It enables cross-system analysis with high performance and robust security. Meanwhile, Explo allows Manufacturing Tech companies to deliver real-time, embedded dashboards directly to their users and AI powered custom reporting.

Use Case: Predictive Maintenance Dashboards

Imagine a SaaS platform for factory maintenance teams. With Snowflake managing sensor data and machine logs, and Explo handling the visualization layer, users can see:

• Real-time health scores for every asset
• Predicted failure timelines
• Suggested maintenance schedules

All surfaced in an intuitive, in-app dashboard—no data scientists needed. Explo also allows users to export or get scheduled downloads of data sent directly to their inbox.

Use Case: Plant Throughput Optimization

Explo Report Builders allows users to create custom reports or leverage AI powered insights to showcase: 

• Production throughput by line or shift
• Downtime trends and root causes
• Energy and resource efficiency metrics

This enables floor managers and executives to pinpoint bottlenecks and optimize output without waiting on quarterly reports. An intuitive self-service interface allows users to create custom reports. 

Developer Benefits

With Explo, developers at Manufacturing Tech companies don’t have to spend months building custom dashboards and reporting interfaces. They can:

• Connect directly to Snowflake
• Define data models once
• Embed dashboards or AI powered reporting into their SaaS application with minimal code

This frees teams to focus on building new features rather than maintaining legacy BI tooling.

Business Outcomes

Manufacturing Tech companies that integrate Explo and Snowflake can:

• Deliver differentiated products with built-in analytics
• Empower end users to make smarter, faster decisions
• Shorten sales cycles by showcasing data-rich features

AI-Ready Analytics for Industrial Use

Industrial innovation doesn’t stop at AI models. It also requires the ability to deliver insights in context. Explo and Snowflake enable that delivery—bringing predictive, real-time analytics to the users who need them most.

Whether it’s maintenance teams, plant managers, or execs, everyone benefits when data becomes accessible and actionable.

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