Transcript Happiest Minds Value Proposition

Happiest Minds Value Proposition
Our Business
Digital Transformation for enterprises and technology providers leveraging an integrated set of disruptive technologies
Big Data & Analytics
IoT
Digital
Enterprise
Security
Cloud
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Mobility
Social Computing
BPM, Workflow
Business
Integration
Unified Communications
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Big Data & Information Management Services
Service Offering
Strategy Definition
Architectural Consulting
Capacity Planning
Performance Engineering
Big Data &
Information
Management Services
Platform Support
Platform Engineering
Advisory
Provisioning & Automation
Transformation
Visualizations
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Managed
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SOLUTIONS, PLATFORMS & TOOKITS
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Cyber Intelligence Platform
Data Filter &
Transform
• Sentiment Analysis
• Entity Extraction
• Event Extraction
• Prominence Analysis
Analysis for :
• Intuitive
dashboard
showing event
graph, maps and
charts
• Alerts and flags
• Network link
graphs for easy
understanding and
analysis
Empower Resource
to Act:
Visualized Data
Get Data >
Enrich Data >
Transfer Data
• Event Classification
Act
Visualization to
showcase:
Analyzed Data
Other Data
Sources:
Visualize
Text mining for:
Enriched Data
News
Aggregators
Analyze
• Case Management
• Communication
and collaboration
• Human
Intelligence
• Agent handling
• Profile co relation
• Identity location
• Government
Sources
• Private Data
• Others
Keyword
Search
Intelligence Out Of Unstructured Open Source Intelligence
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Intelligence Tradecraft
Social
Networking
/
Sharing
Raw Data
OSINT Data Resources
Data Capture
MIDAS Service Platform
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Microservice Architecture
Distributed & Scalable Platform
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Thing Center
Supports built-on-top (Vertical Solutions)
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Service Monitoring
Ecosystem applications (infrastructure) for
maximum benefits
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Real time Analytics (Including Edge Devices)
Supports Enterprise Integration and mash ups
for better smarter insight
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Service APIs for collaboration
Better Security for APIs and Devices
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Supports Multiple Protocols & Devices
Event Hub & Notification
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Anomaly Detection – Made SIMPLE
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Anomaly Detection – Our Approach
SELECT FEATURES
CSV
HDFS
API
DATA
INGESTION
SELECT ALGORITHM
CUSTOMIZE ALGORITHM
FEEDBACK : VALIDATE OUTLIERS
BIG DATA : MongoDB, SPARK
ADMINITRATION USER INTERFACE
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Expose
Outlier
Score
R2M
Seamless
migration from
an RDBMS to
MongoDB
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Enabling better
performance,
scalability, ease
of management
Operational
reliability with
built-in
monitoring APIs
Complete and
Custom
Migration option
Customized
recommendation
of New NoSQL
Data Model
Option to change
the data model
before migration
to MongoDB
Preview of
Collection sample
before migration
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Automation of
the MongoDB
cluster setup
Desktop based
GUI Tool for easy
table selection
and relation
mapping
CASE STUDY
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Voice To Text Analytics
• A multinational corporation based in India with
revenue of $US 33 billion.
• Involved in Steel, Energy and Infrastructure services
• Operation in 29 countries, employing over 60
thousand people.
• The pilot is for Oil and Gas division of the company.
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Business Requirement
• What transactions happened with whom and when
• Regulatory requirement: Communication logs must be
kept and reviewed by Auditors
• Primary use case: Text Analytics on Email, Chat and
Audio Data Combined to spot deceitful transactions
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The Business Problem
• No single view of all communications happened through email, chat
and voice.
• Auditors review process was a daunting task as they need to read
through numerous email and chat files and need to listen to audio
files to qualify a transaction as ‘clean’.
• Huge dependency on people maintaining these files systems.
• No support for any scientific reasoning to back the findings of the
Auditors.
• Brand Reputation was at risk.
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What was achieved
• The results were staggering!
• RAAD: Completed pilot development in three weeks, which otherwise
would have taken couple of months.
• Performance: The application was responding to user queries within
50 millisecond window. MongoDB enabled low-latency queries across
thousands of documents.
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Business Benefits
• Provided single view of all communications per transaction.
• Auditor’s evaluation time brought down from 2 weeks to 1 day.
• Saved around 300 man hrs., which consumed for manual
consolidation of data from email, chat and audio servers.
• Text Analytics application offered new insights like deeper
understanding of supplier market which was not possible before.
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Thank you
www.happiestminds.com