Data driven decision making through analytics and IoT
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The document discusses using data analytics and IoT to improve transport logistics operations. It outlines defining processes, collecting data from various sources, building a data pipeline to ingest the data, implementing analytics solutions, and realizing advantages. Key steps include streamlining existing practices, digitalizing processes, setting up integrations, building connectors, and implementing cognitive computing to increase efficiency and reduce costs. The overall goal is to provide fool-proof and cost-effective solutions using data and analytics to accelerate growth.
Data driven decision making through analytics and IoT
- 1. - Use Case: Transport Logistics - Data driven decision making through analytics and IoT Head Quarters DataYaan Solutions Private Limited | Agaram, SDF-1, Phase-I, MEPZ-SEZ, Tambaram, Chennai-600045, Tamil Nadu, India | www.datayaan.com
- 2. Overview Defining and Streamlining Processes Devise Methods and Strategies to Collect Data Build a Pipeline to Ingest Data Implementation of Analytics Based Solutions Advantages and Improvements
- 3. Defining and Streamlining Processes Analysis of Existing Practices and Processes in the organization Defining concrete methods and practices to follow Improvements and Changes to upgrade existing processes for better data collection and automation Implementation of automation on manual processes wherever applicable Monitoring adherence to processes and implementing improvements as necessary
- 4. Devise Methods and Strategies to Collect Data Digitalizing all Processes through new Applications and APIs Automatic Collection of Data through IoT devices Setting up Integrations with existing Applications File Readers to Parse and Fetch Data from Documents
- 5. Build a Pipeline to Ingest Data Building Connectors to Multiple Data Sources Normalization and Transformation of Data Storing Data to a single source (Single source of truth) Receiving live events and streams from other sources Processing Outliers and Missing Data
- 7. Implementation of Analytics Based Solutions
- 8. Advantages and Improvements Fool-proof and cost effective solutions for complex business problems which accelerate the company’s growth and performance Cognitive computing to increase vehicle performance and efficiency while effectively reducing overall costs Preventive maintenance of various parts and spares of the vehicle using cognitive computing 40% Savings in monthly operations Efficient monitoring with less manual intervention
- 9. THANK YOU DATAYAAN DataYaan Solutions Private Limited , Agaram, SDF-1, Phase-I, MEPZ-SEZ, Tambaram, Chennai- 600045, Tamil Nadu, India | www.datayaan.com