Data Analytics
Marketing Analytics
Today with very rapid increase of digital adoption, the marketing efforts are undergoing considerable changes. By applying technology and analytical processes to marketing-related data, businesses can understand what drives consumer actions, refine their marketing campaigns and optimize their return on investment.
With Analytics you can find answers to
- How are our marketing activities performing today? How about in the long run? What can we do to improve them?
- How do our marketing activities compare with our competitors? Where are they spending their marketing dollars? Are they using channels that we aren’t using?
- What should we do next? Are our marketing resources properly allocated? Are we devoting time and money to the right channels? How should we prioritize our investments over a certain time period?
- Pricing and Promotion
- Survey Analytics
- Path to Purchase
- Choice Modeling
- Brand Switching
- Market Basket Analysis
Engineering New Products – Mechanical Design
Data and design when brought together can unleash the ability to conceive and develop customer-centric products, solve complex problems quickly and significantly improve performance, viz cost, quality and delivery… with increased computational speed, designers can strive to explore large set of design iterations and find right sweet spot for customer expecations.
- Math. Model of Design
- Large Design Iterations
- Maximize Objective
- Meta-data for Influence Co-efficients
- Learn and Evolve Simulation Boundary Conditions
- Standardised Data From Sensorts
- Key Influence Factors
- Connected Data
- Hypothesis
- Weibull Analysis R/1000
- MIS Predictions
- Failure Rate Prediction
Operations and Planning
Manufacturing analytics are purpose built to collect and analyze the data from an unlimited number of sources to identify areas for improvement. They span from machines to people, from an incoming order to the delivery of that order. Data is gathered and reformatted in an easy to understand way to show where there are issues along the process. Manufacturing analytics collects and manipulates large amounts of data to show insights that you can then act on or set up automatic business processes to respond to in real time.
- Demand Forecasting
- Order Management
- Inventory Optimisaiton
- Supplier Performance
- Transport Analytics
- Early Warning Systems
- Real Time Quality Monitoring
- Root Cause Analysis
- Reliability
- Warranty
- Predictive Maintenance
- Inventory Management
- Supplier Performance
- Real Time Equipment & Process Monitoring
- Process Capability
Business Analytics
Decisions involving business functions needed data driven approach,
