Solution for Manufacturing Data Analytics and Data Science Services

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 organizations to devise KPI-based analytics strategy and selection of the right approach/methods/solutions for successful implementation at an enterprise level.

Read more here: https://dataanalytics.tridiagonal.com/consulting/

We fill the gap in terms of skillsets, know how and best practices in the data analytics space and help companies to get started in their data analytics journey. Our multi-skill teams consist of Domain experts in Chemical / Mechanical engineering with 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 solutions at our customer's end. We have a suite of solutions (Data analytics platform), which we implement as a part of our services.

Today most of the manufacturing data analytics is in the form of monitoring (what is happening) the current state of the system/ process or historical data investigation (What has happened); trying to understand the events. The basic application of statistics (such as covariance/ correlation) helps in doing deterministic analysis such as root cause analysis of the past events and identifying ‘Why’ such events happened.

There are different applications of data science and analytics, which can help in performing various levels of analytics from diagnostics to probabilistic to augmented data modeling. The Machine learning techniques and application of the right methods can unlock the data and give meaningful insights. However, to realize the benefits of this technology, the organizations need to have the right ‘Analytics Strategy’, skills, methods, and right solutions.

Book your analytics here @ https://dataanalytics.tridiagonal.com/book-an-analytics/

Following are the service offerings

Core Data Science Group - ML Modeling Center

• Analytics implementation Strategy – Roll-out plan with Returns on Analytics (ROA)
• Building Analytics & Data-driven models for various applications (processes) – Model construction, application or 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 a 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 Manufacturing Data 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

• 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 or Guide & Methods for Manufacturing Data Analytics
• Advanced Data modeling techniques on your data and results

Data Analytics Solution (Software) – Implementation

• Providing Industry leader – Advanced Analytics Solution

• 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

Parth Sinha: Sr. Data Scientist, who holds a degree of Masters in chem. engg with a deep know-how on the application part of data analytics in the process and manufacturing industry.