Data & Analytics Deck
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"Empowering businesses with data-driven insights, automation, and intelligent decision-making."
Facts & Figures
100
Associates
20
Data Scientists
50
Customers
Data & Analytics Offering Suite
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Facts & Figures
500
Reports
100
Visualizations
250
KPIs
50
Projects
BI & Reporting Framework & Solution

Use Cases

BFSI

  • Insurance
  • Lending
  • Retail Banking
  • Asset Management

Enterprise

  • Retail & Trading
  • Telecom
  • Utilities

Government

  • Scheme Framework
  • CMO Dashboard

Value Creation Results

  • Improved Operational Efficiency: Delivered streamlined solutions to enhance the operational efficiency of diverse organizations.
  • Financial Data Management & Reporting: Implemented automated solutions for accurate financial reporting and real-time data insights.
  • Enhanced Data Security & Compliance: Developed robust data management frameworks ensuring security and compliance across industries.
  • Scalable Technology Solutions: Provided scalable IT and software solutions catering to various business needs.

Optimized BI Framework

Unified Business Intelligence Layer
Adaptive Reporting & Security
Centralized Data Source
Role-Based Access Control
Customizable KPIs & Metrics
Scalable Technology Solutions
BI & Reporting Framework & Solution
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IOT Data Pipeline Architecture

Producer

IoT Sensor Data Aggregation

  • Collects real-time data (e.g., temperature, air quality) from city sensors.
  • Uses Python (Boto3) to send data to Kafka and S3.

Kafka on EC2

Data Streaming

  • Kafka on EC2 streams real-time sensor data for processing.
  • Python app continuously sends data as Kafka events.

Amazon S3

Data Lake

  • Stores raw sensor data as a scalable, cost-effective data lake.

AWS Glue

Data Catalog

  • Detects schema from S3 data and organizes metadata in the Data Catalog.

Amazon Athena

SQL Queries

  • Enables SQL querying on S3 data for quick analysis and insights.

Visualization

Tableau/Power BI

  • Visualizes real-time metrics (e.g., traffic, air quality) via dashboards.
Architecture Flow Diagram
End to End Data Pipeline Using AZURE

Azure Data Pipeline

1
Ingestion
Data is ingested from an on-premises SQL Server database using Azure Data Factory (ADF).
2
Data Storage (Azure Data Lake Gen 2)
Stores ingested data in Azure Data Lake Storage Gen2, supporting hierarchical storage.
3
Transformation
Azure Databricks performs ETL tasks over Bronze, Silver, and Gold layers using Apache Spark.
4
Loading
Transformed data is loaded into Azure Synapse Analytics for analytical queries and large-scale processing.
5
Reporting
Power BI creates reports and dashboards from data in Azure Synapse, providing insights for decision-making.
6
Security & Governance
Azure AD manages user authentication and access. Azure Key Vault secures and manages sensitive information.
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Data & Analytics Success Stories Summary

Supply Chain Optimization

Data-Driven Optimization Hub

This case study focuses on how an FMCG company leverages data-driven solutions to enhance customer engagement through loyalty programs, enable consumer credit, and optimize supply chain management with real-time analytics, boosting profitability and reducing reliance on external research.

Environmental Impact Dashboard Analysis

Consolidated and Bespoke Environmental and Sustainability Reporting for Forest Management

Developed a Central Data Repository and interactive Power BI dashboards for various organizations’ CSR initiatives to analyze forest cover, track tree survival, and enable data-driven decisions for sustainable environmental development.

Data-Driven Brand Management Strategy

Boosted Brand Loyalty and Sales Growth

Implemented a data-driven strategy by repositioning products based on sentiment analysis, personalizing marketing efforts, optimizing targeted advertising, A/B testing, and using tools like Salesforce, Google Analytics, and Scikit-learn to drive sales growth.

GenAI-Powered Customer Support

Improved Response Time and Issue Resolution

Used GenAI to automate customer support via intelligent chatbots, providing 24/7 service, reducing operational costs, and enhancing customer satisfaction.

Payment & Billing Management Solutions

Integrated Billing and Automation

Developed a portal for seamless payment collection, billing, order tracking, and failed delivery monitoring, including features for quotations, invoice management, and automated reminders to improve cash flow and efficiency.

Data-Driven Consumer Engagement and Supply
Chain Optimization Solution for an FMCG Company

Business Need

The FMCG company faces significant challenges, including hyper-competition, supply chain inefficiencies, limited working capital, and reliance on costly third-party market research. The key business needs are to implement data-driven solutions to strengthen customer engagement through prepaid and loyalty programs, enable consumer credit for easier purchases, and optimize supply chain management with product tracking and traceability.

Additionally, the company needs real-time data analytics to gain direct insights into consumer behavior, reducing dependency on external research and improving decision-making to boost profitability and growth.

Proposed Solution

Implement a data-driven platform to enhance customer engagement, streamline supply chain operations, and provide real-time analytics for better decision-making and fraud detection.

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Integrated Power BI Solution for Social Welfare
Dashboard Solution for Environmental Impact
Analysis and Forest Cover Sustainability

Business Need

The proposed solution for the organisation involved building a Central Data Repository to consolidate forest plantation data. Interactive Power BI dashboards were developed to enable top management to analyze forest cover, track the survival count of trees, and assess the environmental impact. These dashboards provided deeper insights, complementing conventional reports, and facilitated data-driven decisions for future forest development initiatives.

Proposed Solution

Implemented advanced data analytics and visualization dashboards to monitor and assess forest cover growth, track tree survival rates, and support data-driven decision-making for sustainable environmental development.

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Industry Use Cases
Analytics Offering In Banking / Financial Services
Enterprise Data
Enterprise Data Management & Reporting
  • Enterprise Data Management
  • Dashboard Consulting
  • Dashboard Modernization
  • Regulatory Reporting
  • MIS Reporting
Digital Command Centre
Digital Command Centre
  • Operations Analytics CXO
  • Cockpit System Contact
  • Centre Analytics
  • Employee Analytics
Customer Analytics
Customer Analytics
  • Integrated Customer View
  • Customer Segmentation
  • Segment Profiling
  • Next Best Offer
  • Churn Prediction
Fraud Analytics
Risk / Fraud Analytics
  • Claim Fraud Analytics
  • Contextual & Behavioral analytics
Why DATA+ Digital Command Centre – Today’s CXO Challenges
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💬
  • Driving Decision Quality, Speed and agility Tracking,
  • Monitoring decision actions in real time
  • Single Version of truth
Operations Icon
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  • Visibility of Operational performance in real time
  • Tracking, Monitoring decision action closure loops in real time
  • Single Version of truth
Finance Icon
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  • Visibility of Financial performance in real time
  • Monitoring of Expenses on a real time basis
  • Visibility and Insights on ROI from investments and initiatives
GENAI ChatBot

We create a customized Chatbot solution designed to leverage a company’s internal knowledge base. The AI-based system can handle both structured data, such as manufacturing protocols, and unstructured information like compliance policies or best practices. The model is a tailored Conversational AI (C.AI) framework that seamlessly integrates with industry-specific knowledge databases, making it ideal for sectors like pharmaceuticals, healthcare, and other industries.

  • AI-Based Investigation: Efficiently manages complex queries related to both data-driven and non-data-driven contexts.
  • Customized Conversational AI: Offers a plug-and-play model that is voice-enabled, adaptable, and tailored to industry-specific needs.
  • Knowledge Database (KDB) Integration: Easily integrates with existing knowledge bases to provide precise, context-aware answers to user queries.
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