Spark tune
Unlocking advanced analytics through knowledge databases. It sounds complex, but really it’s about making your data work smarter, not harder.
Descriptive Analytics
Leveraging a robust knowledge base and simple algorithms, we identify valuable insights for decision making. Some of the use cases include:
- Process variability analysis — we measure how your processes drift and where they wobble.
- Resource consumption analysis — understand who’s gobbling up your compute.
- Process distribution analysis — see where workloads pile up or thin out.
- Cost estimation in Databricks for different cluster strategies — pick the right cluster without guessing.
- Identifying processes that can benefit from Databricks Photon — know when to flip the performance switch.
Machine Learning
Some Spark challenges can’t be solved with descriptive analytics alone. When your analysis involves dozens of variables, it’s time to bring in machine‑learning and deep‑learning models . Use cases include:
- Clustering processes to define clusters in Databricks.
- Comparative analysis between Cloudera and Databricks after migration processes.
Gen AI
Generative models can create content, images and video, but they can also deliver analytical power when anchored in specialised knowledge like Spark . Our research focuses on using these capabilities to solve complex optimisation problems. Use cases include:
- Process analysis within knowledge bases through natural‑language‑to‑SQL conversion.
- Recommendation engines to optimise existing processes.
- Anomaly detection.
Success stories
Strategic projects that have turned data capabilities into real competitive advantages.
AI to anticipate failures and protect production
The contact‑centre services sector is a market in constant transformation with big growth expectations. This project uses AI to predict failures and protect production — because prevention beats crisis management every time.
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GenAI to democratise insights and accelerate decisions
As part of its ongoing optimisation, this client has embarked on a major digital transformation. By using generative AI to democratise insights, decision‑making is faster and more grounded.
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Sales force with actionable information
Bluetab drove the digital transformation of a major global insurer, optimising data quality and automating processes. The result? A sales force armed with data they can actually use.
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Tell us what problem you need to solve and let’s define the next step with a Bluetab specialist.
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