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Big Data & Analytics

Harnessing value from data

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Our Big Data & analytics solutions support in analysing the voluminous information & share the business critical insights to unearth hidden possibilities for business transformation. MIND offers real-time data integration and streaming analytics, empowering you to feed pre-processed streaming data into enterprise data lakes while getting the maximum value from your high-velocity, high-volume data with context-rich, real-time insights.

Our partnership with leading Tech solution providers – AWS, Microsoft & skilled teams of Data Engineers, Data Scientists, Design works together to transform data into insight and help you achieve higher levels of performance.

MIND offers pre-built workload-optimized data warehousing analytics solutions with integrated ETL, application and infrastructure that provides fast time to-value analytics for effective decision-making. Our team is constantly researching on new analytic techniques such as optimization, statistics, and queueing theory, operational excellence, and provide our clients with the ability to use actionable, data-driven business insights.

Increasing Business IQ

Foundational Big Data

Organize collective data with strong data quality & governance

Business & Operational Intelligence

Work on specific business applications with a purpose

Cognitive Intelligence

Building simple and intuitive applications to simplify decision making

Our Services

  • Data Cleansing & Prep
  • Analytics & Big Data
  • Data Visualization
  • Machine Learning

Our Key Focus Areas on Enterprise Data Warehouse

With increased focus on coverage and depth, our EDWH infra will need 5-10 X capacity and processing capabilities to meet our growing needs toward 2020.

Spend & Purchase Analytics

Objective

To analyze enterprise purchase/spend data, providing detail insights for global and local procurements and evaluating supplier performances and associated risks.

  • Understanding of Product & Supplier
  • Supplier management – Spend, performance and risk

Audit & Governance

Internal Audit function with the changing landscape can strengthen the groups controls by leveraging the power of big data and analytics and building a control set of continuous audit.

Key Audit Process Areas
  • Inventory Management
  • Logistics
  • Acquire to Hire
  • Manufacturing
  • Order to Cash
  • Procure to Pay
  • Acquire to Hire
  • Hire to Pay
Big Data Enablers
  • Direct Access
  • Analysis & Co-relation
  • Sample to full data
  • Reusability
  • Automation

Factory Intelligence Solutions

Objective

Build intelligence in our Factory IOT solutions to drive operational improvement

Business Need
  • Improve Transparency in operations
  • Improve utilization, efficiency, quality (OEE)
  • Reduce downtime by preventing failures
Data Acquisition
  • Sensors-IOT/PLC devices
  • Machine Production data
  • Human Captured-downtime, capacity, defects reasons
  • Environment conditions-temperature, humidity
  • Machine Utilities
Intelligence
Preventive Maintenance, Production Risk Analysis, Equipment Failure and shutdown predictions
Improvements basis diagnostics analysis, machine parameters (like pressure, temperature) monitoring, utilities/ energy analysis
Real time monitoring of machines, OEE analysis, scrap monitoring, downtime monitoring, etc.

Chatbot - Genie

General

Stock Price, Ticket booking, Food Ordering, Group Information

Knowledge

Translation, Weather, Plant Location, Know about people

Business Intelligence

Market Intelligence, Financial Info, Operational Stats

Helpdesk

Access request, Policies and procedure, Raise & Track request, 24 x 7 support