


Launch cloud analytics 90% faster—and with 80% less TCO—with Adastra and Azure OpenAI.


Analytics are critical to deriving insights that help you make informed decisions and stay competitive.
But traditional analytic solutions require significant effort when modeling, mapping, and pipelining data. If data is isolated in silos, you must manually integrate and enhance it to unlock its analytic value. Finding relevant KPIs and uncovering deep insights in your available data can be a struggle.
Reduce the stress and effort of manual data integration and setup with Adastra Lucid Data Hub. Powered by Azure OpenAI, the solution can accelerate your data analytics projects by 10X so you achieve rapid value.
Let’s look at your data sources and goals and show you how Lucid Data Hub shortens setup time and lowers total cost of ownership.
Lucid Data Hub is Adastra’s analytics accelerator powered by Azure OpenAI. It reduces the manual effort of modeling, mapping and pipelining data by interpreting your content into data models, mappings, pipelines, measures and queries. The result is curated data that helps you launch cloud analytics 90% faster and with 80% less total cost of ownership.
Enterprise data projects can be completed 10x faster than with traditional methods, which means weeks instead of months. Shorter project timelines and fewer required resources also lead to 5x cost savings over the short and long term, so you reach value from your analytics investment sooner and with a smaller team.
Adastra provides API services as plugins within your existing platforms, so Lucid Data Hub works with tools such as Azure Synapse, Snowflake, Power BI and Databricks. You keep your current analytics stack and add AI-driven data modeling on top of it, instead of replacing tools your teams already know and use every day.
Adastra follows five steps. We deploy a private Azure OpenAI instance in your Azure tenant, register your data sources so the model can identify relevant industry and system entities, and interpret your content into data models and pipelines. Then we help you access insights from curated data and fine-tune the outcomes with your team.
Using public ChatGPT can expose sensitive organizational data to public consumption and data breaches. A private instance of GPT in your organization’s Azure tenant keeps your data protected. Azure OpenAI also lets your models undergo context training specific to your organization, so Lucid Data Hub produces data models that reflect how your business works.
Yes. The solution is designed to cover your entire enterprise data landscape, so you can analyze everything and base decisions on complete and accurate information. Data that sits in silos is registered and interpreted together, which removes much of the manual integration work and makes it easier to find relevant KPIs and deeper insights.
Adastra offers several Azure OpenAI solutions. The Intelligent Search Platform improves insights from unstructured data by more than 50%, the AI Content Generator reduces content generation effort by 5x and the AI Chatbot Platform improves bot automation success by more than 50%. Each runs securely in your own Azure tenant.
Speak with an industry expert who knows your sector.
I’ve worked with many people at Adastra, and it was always a great experience. The real success isn’t just in the time savings—it is that the solution has inspired new ideas for how AI can transform the way we work.

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