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MOBILITY & ANALITICS SERVICES

INTRODUCTION

At HCL’s Digital & Analytics division, we help design and build key platform components of customers’ Digital-Technology-Footprint to power their Digital transformation journey. Our team of design-thinkers & industry-process experts help our customers break down barriers by combining deep knowledge of business processes with user-centered design principles – to truly visualize the potential of digital technology.

HCL’s Digital & Analytics services brings its entire gamut of expertise – from consulting to implementation – to ensure that digital journeys can enable an end-to-end IT its transformation.

We believe that every enterprise has a unique DNA. We help amplify this uniqueness, through the power of digital technologies and analytics.

MOBILITY SERVICESMOBILITY COE

CORE SERVICES

INDUSTRY SEGMENTS

END TO END SERVICES

Consulting

Design & Development

Testing & Certification

Launch & Maintenance

• Wireframe

• Visual Design

• Responsive/ Adoptive web design

• Custom built Hybrid App Write Once Run anywhere – Mobile App Frameworks

• Manual

• Automation

• UI Compatibility

• Performance

Mobile Web Apps

Native Apps

UX DESIGN TESTINGDEVELOPMENT PORTFOLIO

Manufacturing Aerospace Telecom BFSI

Medical Devices Online & ISVs Media & Entertainment

MOBILITY SERVICES – TECHNOLOGY LANDSCAPE

• Consulting Framework

• App Development approach selection tool

• IT and Technology Landscape

• Reference Architecture

• Best Practices and Guidelines

• Application & Technology Roadmap

• Phonegap

• Titanium Appcelerator

• Angular IS Xamarin

• Objective C

• Swift, Android SDK React,Flex,Rapid CQ5, HTML5 CSS3 Apache Wicket

• Jquery Mobile Sencha Touch

• UI Automation

• See Test, Robotium

• Selenium

• Crashlytics

• Ruby, Calabash

• Cucumber

• Test Automation Framework

• MMA

• Factory Model for Mobile Dev and Sustenance

• New Technologies Training

• Swift Training

• Automation Tools Training

• IKM Assessment

CONSULTING DEVELOPMENT

TESTING & CERTIFICATION

ENABLERS

EVALUATION & TRAINING

BUSINESS BENEFITSQUANTITATIVE BENEFITS

QUALITATIVE BENEFITS

Overall Effort

Savings

Platform can be leveraged

to enable Mobile as an Aggregator + Monitoring & Controlling

in IOT ecosystem

Overall product cost reduction due to usage of platform

features

Competitive Advantage

Reusability across

products / projects

Compliance to Standards and

Guidelines

Device Connectors for enabling

communication through Mobile

Ready to use and Future

Proof

Expertize in MobilityCustomizable

according to the needs

32% - 37% USD 175K Approx.

3 to 4 Months Approx

Overall Cost

saving

Time to market

CASE STUDY : MOBILE INTEGRATED PARKING STATION SYSTEM DEVELOPMENT

SCOPE

Mobile Integrated Parking Station development with third party cash recycler system.

CLIENT

Parking Station Manufacturer

HCL APPROACH

• End to End development of the system

• Leveraged the Linux Customization Expertise @ HCL

• HCL UxD CoE to design UI for Mobile/Tablet

• Team Leader with experience in J/XFS

• Firmware team comprises of Device Service experience

HCL SOLUTION

• Mobile Interface to Parking station

• E-Receipt to mobile

• Cash Deposit functionality

• Balance Dispense functionality

• Admin Functionality

• Diagnostic module

• Display Driver

• Service Utility

TECHNOLOGY/TOOLS HIGHLIGHT

• ARM Cortex-A8

• Linux, Android, C++/C, JNI, Java

• RabbitMQ, Tomcat, Client ‘s RDC

• J/XFS

• Third Party Cash Recycler

ANALYTICS SERVICESANALYTICS COE

CREDENTIALS

INDUSTRY PARTNERSUNIVERSITY PARTNERS

SERVICES

• Business Use Case Definition

• Data Quality and Integration Assessment

• Ecosystem Monetization

• Information Management System Design

• Technology and Tools Stack Evaluation/Recommendation

• Agile Analytics Integration with Legacy/Upcoming Applications

• Enterprise Data/Data Science Platform Solution

• Digital Engineering

• Information Management Platform

• Benchmarking and Tuning

• Data Management Platform Management

• DevOps Integration (Data Sc/Application)

• Shared Services and CoE

• Change and Configuration Management

• Streamlining Business Process for

• Data Standardization

Consulting

Engineering

Operations

Investment in Cognitive Analytics CoE dedicated

to Machine Learning, Deep Learning, Statistical

Techniques, & other Advanced Analytical

Methodologies like Analytics-as-a-Service

Expertise in implementation steps of Analytical

Solution: Architecture & Design, Data Governance,

Data Warehousing, Business Intelligence, Agile

Analytical Solutions, Data Science

Accelerators like Data Science Lab & Re-useable

Components

IISC BANGALORE

OUR ANALYTICS CAPABILITY CASE STUDIES

RELIABILITY ANALYSIS

Data in Hand

• Usage Details of US Coast Guards Helicopters

• Information on when corrosion was detected

Statistical Algorithms

• Regression

• Cox Proportional Hazard Model

• Kaplan Meier

• Given the environmental conditions

• Predict what is the survival probability with respect to corrosion

RELIABILITY ANALYSIS: AIRCRAFT CORROSION

YIELD / CORRELATION ANALYSIS

Corrosion Inspection data – US Coast Guard Aircraft

• 19 locations spread across US• 17 locations chosen for training predictive model

• 2 locations chosen for validation

Independent Parameters

• Inspection Time (months)• Deployment (sea, Land)• Corrosion Severity (Mild, Moderate, Severe)• Salinity (Fresh Water, Sea Water)• Distance from water (Adjacent, Nearby, Distant)• Humidity Daily High (High, Medium, Low)• Humidity Daily Low (High, Medium, Low)• Humidity Monthly Average (High, Medium, Low)

• Geography(Northern US Southern US, Eastern US, Western US, Gulf Of Mexico Region) Mainland (Mainland, Island)

• Treatment(Treated, Non-Treated)

Dependent Parameter:

• Corrosion observed (yes/no)

FAB Data

1. Extract BLOB,

Uncompress

4. Display Pivot view

2. Filter & Select the

fields

3. Apply Correlation

Scalable HCL Solution

Server Side

Analytics

Cleint Side

HCL Solution

1. Big Data based correlation Engine

2. Pre-computes standard aggregations.

3. Implemented with HDFS, M/R, Hive, SQL Engines

4. Complex Data Pipelines are implemented (Uncompressing, Filtering, Correlation)

Benefits

1. Response Time from > 2 Hrs to < 4 Mins

2. Scalable for Large Value of data -25 Million

3. High availability

4. Avoidance of duplicate processing

Business Pain points

• Effort is paramount due to inefficient process cycle / stages

• Traditional process could not tap the process phase redundancies

• Need for a process insights / requires deep data analysisd

Problem Statement

1. Keeping up the quality is a paramount problem in Network

2. Identify optimum configurations required to respond desired quality

3. Provide complete end-end capability support on storage infrastructure i.e Cassandra

HCL Solution

1. Provide high velocity data capture cluster based on Cassandra

2. Developing the complete analytics cycle – Preprocessing, Modeling, Prediction, Feedback

3. Helping customer in setting up the Cluster sizing

4. Develop spark based Analytics applications

Benefits Offering

1. Able to provide accurate analysis on the parameters impacting the KPIs

2. Provided insights on the possible changes required on the parameters for a desired KPI

Solution

• Developed Data analytics collecting data from multiple sources

• Developed correlation of among process phases

• Developed different types of analysis – Time series, Interactive Analysis

Value Added & Benefits

• Shorter development Time to mine logs

• Provided insights how the processes needs to be reordered

PROCESS INSIGHTS / OPTIMIZATION

KPI ANALYSIS

Quality as KPIs

User Interface

CM

Alarms

Neighbor data

Spark based Analytics

Counters

KPI

Data Ingestion into Cassandra

Recommend Optimum Configurations, KPI

Data sources

Analytics

OUR ANALYTICS CAPABILITY CASE STUDIES - CONTD 1

REMOTE MONITORING PLATFORM

OUR SOLUTION

Success points

High Level Architecture

With the client’s approval, the HCL team started to rebuild the whole architecture and delivered in record time. The platform was designed and built to be future proof and powerful by integrating numerous big data components like Kafka, Cassandra, Redis etc.

Rapidly aligned to changing customer requirements and data schema and completed the entire big data platform build within 3 months

The developed big data platform successfully handled data from 5000 devices/

Sensors at the first test, and is capable of scaling up to 10000 devices/sensors

In addition to the big data platform, proactively built a machine learning analytics application for anomaly detection. Developed an RUC for Kafka-Storm-Cassandra connector

Scope of Big data & Analytics COE

Big Data Platform

Analytics Applications

Mobile Alerts

Wearable

SECURITY ALERT SYSTEM

Validation Micro service

Cassandra DB Micro service

Alerts DB Micro service

Incidents, Vehicle Data

Validation Service

Via kafka bolt

Via kafka spout

Storage Service

Alert Service

Kalka B

roker

Time series DB Micro service

Problem Statement

• Needed a Real-time Incident Alert System

• Currently no high velocity data capture system

• Accidents due to sudden development of incidents

• Accidents incur Very High Costs

Real Time Solution

• Developed complete Kafka-Cassandra based Real-time Architecture

• Integration with Analytic Models

• Master less architecture delivers 100% uptime with thousands of writes per second

• Cloud readiness

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