Build a Better Data Warehouse with Contextualized OT Data Streams

The ugly truth is most data lakes and data warehouses are lacking the necessary operational context to truly add value. That context is in the heads of the entire fleet of engineers and never makes it to the enterprise. Let's fix that.

In this video, experts from Streamline Control and Flow Software dive deep into the critical importance of incorporating operational context into your cloud data strategy. Discover how missing contextual information can lead to significant gaps in data interpretation and decision-making, and learn actionable strategies to ensure your data is complete and meaningful.

🎥 What You'll Learn:
- The crucial role of operational context in data analytics
- Common pitfalls of sending raw data to the cloud without precontextualization
- How operations teams, engineers, and production subject matter experts contribute invaluable insights
- Step-by-step guidance on integrating context at the source

📈 Why This Matters:
Data without context is like a puzzle with missing pieces. By integrating operational context early, you empower your data scientists and analysts to make informed decisions that drive efficiency and innovation.

🛠️ Tools & Techniques:
- Practical examples and case studies
- Advanced tools for data precontextualization
- Best practices from industry leaders

🚀 Take Action Now:
Don't let your data strategy fall short. Learn More about Flow Software: https://www.flow-software.com/contact

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