Webinar : Contextualized Data : September 14, 2022 09:00AM Pacific Time
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We help you solve this problem by centralizing the management of your information and execution of data transformation and distribution following a Unified Analytics Framework architecture.
New to the Unified Analytics Framework? Learn more here.
"This revolutionized our data and engineering governance."
These three steps are necessities for turning manufacturing data into shared information. Each is included with every Flow license and is the secret to building analytics architectures that actually scale.
Flow is ideal for building an information model of metrics to improve production efficiency, increase quality, drive maintenance decisions, measure utility or material consumption, understand downtime, and monitor adherence to production plans. Templatized Flow models are centrally managed, honoring enterprise-established business rules and providing governance, while remaining flexible. Operations deploy template instances and add their own site-specific context. Since Flow information models are not hard coded to specific data sources, each deployed instance is adaptable to the site’s environment, regardless of the system architecture.
Data Engine
Flow’s data engine excels at KPI calculations. It connects operational databases and servers to join data points from different systems, cleanse data, and slice it into context-rich KPIs. The engine handles the rerunning of calculations, versioning results, and allows for KPI interrogation, letting users drill down to examine raw data within the original source. Trust is essential, and with Flow, you can be confident that the information driving your operations is solid.
Message Engine
The message engine seamlessly integrates data into the organization's existing notification and communication tools, such as email, SMS, Microsoft Teams, and Slack. By delivering real-time notifications and updates through these familiar platforms, it ensures that stakeholders receive critical information in a timely and efficient manner, enhancing communication and responsiveness across the organization.
Integration Engine
The integration engine automates data streaming to various databases, data lakes, and BI tools, either on a triggered or scheduled basis. It matches the schema of target systems, facilitating seamless data integration, ensuring that all enterprise systems are synchronized with the latest information, and providing a unified, accurate data flow across the organization.
With new calculations and KPIs created, Flow becomes your hub to share contextually rich information with other applications and people at your plants and within the entire enterprise. A corporate Flow instance connects your site deployments, and all underlying data sources, to your data teams and advanced applications. Flow unifies a myriad of operational database formats that can be queried without requiring knowledge of their structure and return results in a single standard schema. As more and more subject matter experts use Flow, their expertise further enriches the information before additional analysis or data warehousing is completed.
Model
Connect
Transform
Visualize
Bridge
For scalability, Flow provides a modeling and configuration environment with an open architecture and templating. Leverage the work you have done in your existing systems while using Flow's self-service no code/low code approach.
Flow believes in a Unified Analytics Framework, but you might have read about a Manufacturing Data Hub as well. What is it? It's an architecture that is designed to take your Unified Namespace (UNS) and expand the collection and sharing of real time data to include calculated KPIs and access to historic databases.
Imagine what you could do if you had a scalable platform built specifically to transform OT and IoT data streams into analytics-ready information. A way to connect all of your data producers and consumers, already plugged into your UNS, to all of the raw historical data living in other databases. With Flow in your architecture, this is possible today.
