From isolated analytics to connected intelligence: powered by Altair RapidMiner.

Data Analytics & AI

Data is the foundation of every AI ambition, and most enterprises still treat it as a series of extracts. We deliver analytics and AI on Altair RapidMiner: a unified platform for preparation, visual machine learning, real-time analytics, and agentic AI. The point is not another dashboard. It is a governed path from raw records to a decision someone will take.

Pipeline

  • PrepareReady
  • ModelLive
  • DecideGoverned

The practice

What this engagement changes.

Four working layers: the foundation we put in place so the rest of the program can run.

  1. 01

    Visual data science and ML

    Drag-and-drop workflows in Altair AI Studio for preparation, modeling, validation, and deployment: usable by analysts, still powerful for data scientists.

  2. 02

    Real-time analytics

    Streaming views and time-critical decisioning with Altair Panopticon, kept aligned to live data when minutes (or milliseconds) change the outcome.

  3. 03

    Agentic AI and multi-agent systems

    Orchestrate workflows that combine LLMs, classical ML, and enterprise data with Agent Studio on Altair AI Cloud.

  4. 04

    Semantic data and governance

    Knowledge-graph intelligence with Graph Studio: policy, lineage, and access control so “self-service” does not mean ungoverned.

01

What we deliver

  1. 01

    Predictive and prescriptive models for forecasting, churn, risk, fraud, and quality.

  2. 02

    Predictive maintenance that uses IoT and operational data to cut unplanned downtime.

  3. 03

    Self-service preparation with Altair Monarch so trusted, analysis-ready datasets are the default, not a heroic extract.

  4. 04

    A multi-language framework that can sit SAS, Python, R, and SQL in one place instead of four toolchains.

02

Where it lands in the business

  1. 01

    Utilities and energy: demand, asset health, and non-revenue loss analytics.

  2. 02

    Banking: fraud, segmentation, and risk with an explainability path for control functions.

  3. 03

    Manufacturing and smart buildings: quality and predictive maintenance on plant and building data.

  4. 04

    Government and smart cities: operational dashboards and decision support that match how agencies actually work.

03

Why RapidMiner-based

  1. 01

    One platform from preparation to deployment: fewer brittle handoffs.

  2. 02

    Accessible to business analysts and deep enough for data scientists.

  3. 03

    Validation and explainability so leaders can trust a recommendation in a live process.

  4. 04

    A path to modernize SAS estates into open, cloud-ready environments without throwing the investment away.

Does this practice match the year you are in?

Book an online consultation. We will return with a clear reading of your current state, the constraints that matter, and a path that fits how your organization actually operates.