Augment your Data Science and Data Analytics Initiatives with right framework and teams

Tridiagonal Solutions Process Analytics Group, supports Data Science and Manufacturing Data Analytics initiatives of the organizations through its Guided Analytics Services & Solutions Framework. This framework enables organization to devise KPI-based analytics strategy and selection of right approach / methods / solutions for successful implementation at an enterprise level. We fill the gap in terms of skillsets, knowhow and best practices in the data analytics space and help companies to get started in its data analytics journey. Our multi-skill teams consist of Domain experts in Chemical / Mechanical engineering with a strong industry exposure in Oil & Energy, Chemicals, Pharmaceuticals, Metals & Mining, Cement sectors. The essential combination of data engineers, data scientists, and application engineers is instrumental in implementing data analytics solution at our customers end. We have the suite of solutions (Data analytics platform), which we implement as a part of our services.

Following are the service offerings

Core Data Science Group - ML Modeling Center (MMC)

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  • Analytics implementation Strategy – Roll-out plan with Returns on Analytics (ROA)
  • Building Analytics & Data-driven models for various applications (processes) – Model construction, application / validation and implementation – Lab/ R&D, Process Dev., Manufacturing, Supply chain, etc.
  • Department-level Value creation (Lab, Process R&D/ Dev., Quality, Operations)
  • Augmented modeling for complex processes (Mechanistic + Data-driven), working with SMEs for advanced analytics (level 4, 5)
  • Custom Application for specific purpose – Templatizing Analytics
  • Model Management & Tuning – Enhancing the value of models
  • Knowledge-creation and building Analytics Culture / Champions – Analytics Transformation

Center of Analytics (COA) – Management of Data Insights

  • Extended team for Data Mining and Analytics – Managing multiple plants/ assets
  • Dynamic reports and KPI/dashboards for global department heads (Asset-level/ Process level) – R&D, Quality, Operations, maintenance, CXOs
  • Working with Plant / Operations head on Operational effectiveness and productivity analytics
  • Working with MSAT team on Process & Optimization Projects using Data Modeling & Analytics
  • Back-end ‘Analytics Production Team’ to the Data Science/ Digitalization leaders
  • Establishment of Best Practices for Data Analytics

Knowledge-building Workshops / Programs

Data Analytics - Knowledge-building Workshops
  • Hands on training on Data Analytics – Data Preparation & Pre-processing – Data Cleansing, Conditioning, descriptive statistics
  • Feature identification, reduction, Covariance methods
  • How to create Data Twin – System / Process representation for data modeling/ Analytics
  • Model construction, application / validation and implementation – Right Methods (Use case-specific)
  • Best Practices / Guide & Methods for Data Analytics
  • Advanced Data modeling techniques on your data and results

Data Analytics Solution (Software) – Implementation

  • Providing Industry leader – Advanced Analytics Solution- Seeq (
  • Proof-of Value development for Seeq evaluation
  • Configuration & Implementation Plan and Global roll-out
  • Establishing Logical Data Lake using Seeq Cortex Server
  • Training / Support post implementation
  • Custom Application / Dashboards Development using Seeq API/SDK
  • Remote monitoring and KPI-driven dashboard creation for plants
  • Tridiagonal is a global implementation partner of Seeq