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© 2020 NIIT Technologies
NIIT ADAPTIVE
INSIGHTS WITH
DENODO
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
2
Discussion Outline
Introductions
• Denodo Overview
• NIIT Overview
Adaptive Insights in Times of Change
• NIIT Adaptive Insights in times of change
• How NIIT use cases are powered and bolted on Denodo
• How we Implement Denodo
Demo
• Business Continuity Planning
• Workforce Optimization
• Data consumption monitoring
Q&A Session
3
Denodo Technologies Overview
The Leader in Data Virtualization
LEADERSHIP
▪ Longest continuous focus on data
virtualization – since 1999
▪ Leader in 2018 Forrester Wave – Big
Data Fabric
▪ Challenger in 2019 Gartner Magic
Quadrant for Data Integration Tools
▪ Winner of numerous awards DENODO OFFICES, CUSTOMERS, PARTNERS
HQ in Palo Alto, CA.
Global presence throughout North America,
EMEA, APAC, and Latin America.
CUSTOMERS
800+ customers, including many F500 and
G2000 companies across every major industry
have gained significant business agility and ROI.
FINANCIALS
Backed by $4B+ private equity firm.
50+% annual growth; Profitable.
4
Source: “Gartner Market Guide for Data Virtualization, November 16, 2018”
Data virtualization can be used to create virtualized and
integrated views of data in-memory rather than executing data
movement and physically storing integrated views in a target
data structure. It provides a layer of abstraction above the
physical implementation of data, to simplify query logic.
5
What is Data Virtualization?
Consume
in business applications
Combine
related data into views
Connect
to disparate data sources
2
3
1
DATA CONSUMERS
DISPARATE DATA SOURCES
Enterprise Applications, Reporting, BI, Portals, ESB, Mobile, Web, Users
Databases & Warehouses, Cloud/Saas Applications, Big Data, NoSQL, Web, XML, Excel, PDF, Word...
Analytical Operational
Less StructuredMore Structured
CONNECT COMBINE PUBLISH
Multiple Protocols,
Formats
Query, Search,
Browse
Request/Reply,
Event Driven
Secure
Delivery
SQL,
MDX
Web
Services
Big Data
APIs
Web Automation
and Indexing
CONNECT COMBINE CONSUME
Share, Deliver,
Publish, Govern,
Collaborate
Discover, Transform,
Prepare, Improve
Quality, Integrate
Normalized views of
disparate data
“Data virtualization
integrates
disparate data
sources in real time
or near-real time to
meet demands for
analytics and
transactional data.”
– Create a Road Map For A
Real-time, Agile, Self-
Service Data Platform,
Forrester Research, Dec 16,
2015
6
How Does It Work?
Development
Lifecycle Mgmt
Monitoring & Audit
Governance
Security
Development Tools
and SDK
Scheduled Tasks
Data Caching
Query Optimizer
JDBC/ODBC/ADO.Net SOAP / REST WS
U
Customer 360
View
Data Mart
View
J
Application
Layer
Business
Layer
Unified View Unified ViewUnified ViewUnified View
A
J
J
Derived View Derived View
J
JS
Transformation
& Cleansing
Data
Source
LayerBase View Base View Base View Base View Base View Base View Base View
Abstraction
7
Data Virtualization Connects the Users to the Data That They Need
1. Data Virtualization allows you to connect to (almost) any data source
2. You can combine and transform that data into the format needed by the consumer
3. The data can be exposed to the consumers in a format and interface that is usable
by them
• Typically consumers use the tools that they already use – they don’t have to learn new tools
and skills to access the data
4. All of this can be done without copying or moving the data
• The data stays in the original sources (databases, applications, files, etc.) and is retrieved, in
real-time, on demand
Cliffs Notes version (TL;DR)
8
Denodo Coronavirus Data Portal
• The Coronavirus Data Portal (CDP) is an open data portal
• Free to access, free to use
• Exposes Coronavirus (COVID-19) data and also includes;
• Data sets include social, demographic, economic, weather data and more from around the world!
• Data sets are tagged and categorized by ‘data stewards’
• CDP is Denodo Server running on AWS Cloud
• Users can search and browse data sets using Denodo Data Catalog
• Can connect BI Tools (e.g. Tableau, Power BI) to CDP and create own visualizations
• Can access data through Web Services APIs
• Can download data
• Can use Denodo Express – COVID-19 Edition for fully functional sandbox
9
Connected Data Sources
Australian Bureau of Statistics Labor Force
Survey
ACAPS
Air Quality Open Data Platform
Allen Institute for AI
ArcGIS Hub
Becker Friedman Institute for Research in
Economics, University of Chicago
California Health and Human Services (CHHS)
Carnegie Mellon University
Centraal Bureau voor de Statistiek (CBS),
Netherlands
COVID19-India (covid19india.org)
Data Science for Social Impact Research
Group (DSFSI), University of Pretoria
Dipartimento della Protezione Civile, Italy
Europa Press
European Centre for Disease Prevention and
Control (ECDC)
Federal Ministry of Social Affairs, Health, Care
and Consumer Protection (BMSGPK), Austria
France GEOJSON
French Government Open Data (data.gouv.fr)
GlobalHealth 50/50
Google - COVID-19 Community Mobility
Reports
Hong Kong Department of Health
Humanitarian Data Exchange
Institute for Health Metrics and Evaluation
(IHME)
Instituto de Salud Carlos III
International Monetary Fund (IMF)
Istituto Nazionale di Statistica, Italy
Johns Hopkins University (JHU) Center for
Systems Science and Engineering (CSSE)
Junta de Castilla y Léon
Kaiser Family Foundation (KFF)
Ministerio de Sanidad, Spain
Ministry of Health of New Zealand
Ministry of Health, Brazil
Ministry of Health, Consumer Affairs and
Social Welfare, Spain
Ministry of Health, Labor and Welfare, Japan
National Institute for Health (NIH) - National
Library of Medicine (NLM)
Netherlands National Institute for Public
Health and the Environment (RIVM)
New York City Department of Health and
Mental Hygiene (DOHMH)
Office for National Statistics, UK
Organisation for Economic Co-operation and
Development (OECD)
Our World in Data
Public Health England
Robert Koch Institute (RKI)
RSS News Feeds
San Francisco Department of Public Health
(SFDPH)
Servicio Publico de Empleo Estatal (SEPE),
Spain
Statista.com
Statistics Austria
Statistics Canada
Statistics Norway
Statistics Sweden
Taiwan Centers for Disease Control
Texas Department of State, Health Services
Thailand Department for Disease Control
The COVID Tracking Project
The Economist
The Government of the Hong Kong Special
Administrative Region - Census and Statistics
Department
The New York Times
The World Bank
United Kingdom Government Open Data
(gov.uk)
United Nations Educational, Scientific and
Cultural Organization (UNESCO)
United Nations Population Division,
Department of Economic and Social Affairs
US Department of Labor
Wharton School of Business, University of
Pennsylvania
World Health Organization (WHO)
10
http://www.coronavirusdataportal.com
Denodo Coronavirus Data Portal
SEARCH THE
CURATED DATASETS
ENHANCE YOUR
DASHBOARD BI
TOOLS WITH
INTEGRATED DATA
PORTAL
EXTEND DATA
INTEGRATION USING
API SERVICES
/DOWNLOADABLE
CSV DATASETS
CONTRIBUTE TO
THE INITIATIVE
11
Denodo’s Coronavirus Data Portal Architecture
File
Denodo Express
COVID-19 Edition
Data
Catalog
Data
Portal
JDBC
ODBC
API
GraphQL
GeoJSON
Sandbox
Sandbox
Sandbox
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
12
NIIT Technologies – Overview
Key Services
Digital
Services
Data &
Analytics
Intelligent
Automation
Infrastructure &
Cloud
250+
Clients
18
Countries
Strong Vertical Focus
InsuranceBanking &
Financial Services
Travel Transportation
& Hospitality
55
NPS Score
80%
Employee
Satisfaction
38%
Revenue from
Digital
12.2%
Attrition rate -
lowest
11,000
Employees from
multiple nationalities
21
Sales offices, 7 near
shore. 6 data centers,
10 Dev
Positioned us as a
‘Leader’ in the
NelsonHall NEAT
Report for RPA & AI in
Banking 2019
Leader among
midsize agile
software
development service
providers
NIIT Ranked No.2 In
‘General satisfaction
in IT Sourcing
Relationship’ by UK
Clients In 2018
Positioned us as a
‘Leader’ in
Wealth Management
Operations in 2018
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
13
Data & Analytics Practice
Highlights
2500+
Consultants
From ADVISORY to IMPLEMENTATION
Avasant 2020 Disruptor
Monetize Modernize ManageCognize
100+
Projects
75+
Active Customers
45+
Innovations
26+
Strategic
Partnerships
1500+
Certifications
Open banking solution on Kafka/Storm/Cassandra
for a Tier-1 bank
“50K transactions/second meeting PSD2
standards”
Teradata to Cloud modernization for a US
hospitality chain
“30-40% savings projected”
BusinessOutcomes
Workforce analytics solution for a leading bank
in UK
“2 weeks cycle time reduced to on-demand
insights”
“Accelerating
Actionable Insights
using our data science
jumpstarts, Analytic &
Technology
innovations”
SOME OF OUR STRATEGIC PARTNERS & ALLIANCES
OUR DIFFERENTIATION –
INNOVATION OFFERINGS
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
14
NIIT’s AI, Analytics and Data Practice
Cognize
ARTIFICIAL
INTELLIGENCE
Modernize
DATA
ENGINEERING
Manage
DATA
MANAGEMENT
Data Lake/Hub
NoSQL
Streaming
Solutions
NLP /
Unstructured
Data Virtualization
MDM
Traditional DWH
Data
Migration
Data
Quality
Metadata
Data Visualization
Machine Learning
Deep Learning
Graph Analytics
GPU
Analytics
Cloud DWH
Monetize
DATA
SCIENCE
Customer
HR
Travel
Insurance
Banking
Healthcare
© 2020 NIIT Technologies
NIIT Adaptive Insights in
times of Change
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
16
Times they are a changing…
Marketplace has disrupted post Covid…
Supply chains are redefined
Workforce, Customer, Sales, Operations have new models of working
Revenue is under intense pressure, resulting in search for innovative models to drive
topline and cut bottom-line
Times calls for adapting to these changing times..
NIIT leverages Denodo and other technologies to help customers get
a quick bang for the buck, realizing scalable actionable insights with
minimal investment to protect TCO of enterprises.
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
17
NIIT Adaptive Insights on Denodo
illustrative examples
1 Helping to solve the workforce optimization problem
and analyze workforce data
2 Helping to build a data meter to monitor data usage for
remote workforce and remote customers
3 Helping to build a data fabric driven by a logical
warehouse for low cost adaptive insights
4 Build a polycloud solution at low cost by drawing
meaning from hybrid and on- prem sources
5 Enable Lineage
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
18
Illustrative Example of Adaptive Insights on BCP
A
C
T
I
O
N
E
X
A
M
P
L
E
I
N
S
I
G
H
T
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
19
Business Context of building Use Cases on Denodo
• Covid Indicators
• Build business
continuity plan in
few clicks.
• Risk Profile
• Office Capacity
• Forecasting
• Route Optimization
Denodo Covid Portal
Department
Risk Factors
Employee
Demographics
EDA, Predictive & Network
based Analysis
Denodo Data Virtualization &
Covid Portal, Python, UI/UX
Options - Can be hosted on Cloud
Data Sources
Outcome
Architecture
Analysis
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
20
Architecture Context of Covid Risk Prediction
pyodbc
User Portal
Personal Details, Behavioral, Symptoms,
Comorbidity Profile psycopg2
Flask Company Database
Employee Demographics, Regional Information, Travel
Details, Covid Test Status, Mortality Status and others
Psycopg2/pyodbc
DATA INGESTION
VISUALIZATION
Feature
EngineeringEDA
• Data Merging
• Missing Data
Imputation
• Outlier Treatment
• Derived Features
• Feature Selection
(ANOVA, RFE,
Feature
Importance)
Model
Selection
• Spot Check with
LR, NB, KNN, DT,
RF, Light GBM &
Adaptive Boost
• LR selected with
best ROC-AUC
Model
Hypertuning
• Hypertune the
regularization
parameter C
• Learning Curves
Model
Output
• Training & testing
accuracy
• Output with risk
level & Likelihood
MODEL DEVELOPMENT
Denodo Covid Portal
Age mortality, Ethnicity mortality,
Regional incidence rate, mortality
rate and others
1
2
3 4 5 6 7
8
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
21
AI and Analytic Context of Denodo Use Case
Dataset
Analysis
Clustered employees by business
criticality, And operational needs,
safety and Build Employee Action
plan and watch list
Action
1
2
2
V
3
Employee demographics,
Date of hire, Department,
Position, Pay rate,
Work experience
Clusters are formed on
multiple dimension
Including work experience,
days in organization, efficiency to
segregate people with similar
behavior
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
22
How we implement for you
Assess And Plan Architect Design Virtualize Operationalize
Activities • Define business and
technical drivers,
objectives and goals
• Analyze and establish
source systems
• Understand
downstream systems/
users who will leverage
the data
• Define Technical
Requirements
• Develop Architecture
Physical View
• Virtualization Strategy
• Develop Quality
Assurance Strategy
• Define Development
Standards
• Define canonical model
• Create a Source to
View Matrix
• Design Connectivity to
Source and Target
• Design Data Quality
Process
• Design Data
transformation
Processes
• Design High Level
extract Process
• Build Virtualization
views
• Implementation of data
model & rules
• Perform Unit, System
testing
• Assist user acceptance
testing
• Plan solution
deployment
• Develop run book
• Deploy solution to
production
• Develop Operations
manual
• Monitor Production
runs
• Transition to support
team
Deliverables • Project Plan
• Requirements
Specification
• System Architecture
• Virtualization Strategy
• Development
Standards
• Data Model
• High Level Design
• Source to target
specification
• Unit test report
• System test
specifications
• Virtualization objects –
Views, Schedules
• System Test & UAT
report
• Deployment Plan
• Run book
• Operations Manual
• Transition Plan
© 2020 NIIT Technologies | www.niit-tech.com | Confidential
23
Our Showcase for Business Continuity Solutions
1 Back to Offices & Remotely Working
2
3
BCP & Workforce Optimization
Monitoring a Data Ecosystem Post Covid
1. Data Virtualization enables organizations to build
agile, adaptive data architectures
2. NIIT’s Adaptive Insights and Data Studio utilize
proven technologies to accelerate your data and
analytics solutions
3. The combination of Denodo’s market leading Data
Virtualization Platform and NIIT’s deep expertise is
an unbeatable combination for your next data and
analytics project
Key Takeaways
Q&A
26
Next Steps
Want to know more about how NIIT and Denodo can
accelerate your data and analytics projects?
Want a free consultation about your Covid data and
analytics strategy?
Contact us: Kelly Ercolino: kelly.ercolino@niit-tech.com
Kathleen Krasniqi: kkrasniqi@denodo.com
© 2020 NIIT Technologies
Thank you

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NIIT and Denodo: Business Continuity Planning in the times of the Covid-19 Pandemic

  • 1. © 2020 NIIT Technologies NIIT ADAPTIVE INSIGHTS WITH DENODO
  • 2. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 2 Discussion Outline Introductions • Denodo Overview • NIIT Overview Adaptive Insights in Times of Change • NIIT Adaptive Insights in times of change • How NIIT use cases are powered and bolted on Denodo • How we Implement Denodo Demo • Business Continuity Planning • Workforce Optimization • Data consumption monitoring Q&A Session
  • 3. 3 Denodo Technologies Overview The Leader in Data Virtualization LEADERSHIP ▪ Longest continuous focus on data virtualization – since 1999 ▪ Leader in 2018 Forrester Wave – Big Data Fabric ▪ Challenger in 2019 Gartner Magic Quadrant for Data Integration Tools ▪ Winner of numerous awards DENODO OFFICES, CUSTOMERS, PARTNERS HQ in Palo Alto, CA. Global presence throughout North America, EMEA, APAC, and Latin America. CUSTOMERS 800+ customers, including many F500 and G2000 companies across every major industry have gained significant business agility and ROI. FINANCIALS Backed by $4B+ private equity firm. 50+% annual growth; Profitable.
  • 4. 4 Source: “Gartner Market Guide for Data Virtualization, November 16, 2018” Data virtualization can be used to create virtualized and integrated views of data in-memory rather than executing data movement and physically storing integrated views in a target data structure. It provides a layer of abstraction above the physical implementation of data, to simplify query logic.
  • 5. 5 What is Data Virtualization? Consume in business applications Combine related data into views Connect to disparate data sources 2 3 1 DATA CONSUMERS DISPARATE DATA SOURCES Enterprise Applications, Reporting, BI, Portals, ESB, Mobile, Web, Users Databases & Warehouses, Cloud/Saas Applications, Big Data, NoSQL, Web, XML, Excel, PDF, Word... Analytical Operational Less StructuredMore Structured CONNECT COMBINE PUBLISH Multiple Protocols, Formats Query, Search, Browse Request/Reply, Event Driven Secure Delivery SQL, MDX Web Services Big Data APIs Web Automation and Indexing CONNECT COMBINE CONSUME Share, Deliver, Publish, Govern, Collaborate Discover, Transform, Prepare, Improve Quality, Integrate Normalized views of disparate data “Data virtualization integrates disparate data sources in real time or near-real time to meet demands for analytics and transactional data.” – Create a Road Map For A Real-time, Agile, Self- Service Data Platform, Forrester Research, Dec 16, 2015
  • 6. 6 How Does It Work? Development Lifecycle Mgmt Monitoring & Audit Governance Security Development Tools and SDK Scheduled Tasks Data Caching Query Optimizer JDBC/ODBC/ADO.Net SOAP / REST WS U Customer 360 View Data Mart View J Application Layer Business Layer Unified View Unified ViewUnified ViewUnified View A J J Derived View Derived View J JS Transformation & Cleansing Data Source LayerBase View Base View Base View Base View Base View Base View Base View Abstraction
  • 7. 7 Data Virtualization Connects the Users to the Data That They Need 1. Data Virtualization allows you to connect to (almost) any data source 2. You can combine and transform that data into the format needed by the consumer 3. The data can be exposed to the consumers in a format and interface that is usable by them • Typically consumers use the tools that they already use – they don’t have to learn new tools and skills to access the data 4. All of this can be done without copying or moving the data • The data stays in the original sources (databases, applications, files, etc.) and is retrieved, in real-time, on demand Cliffs Notes version (TL;DR)
  • 8. 8 Denodo Coronavirus Data Portal • The Coronavirus Data Portal (CDP) is an open data portal • Free to access, free to use • Exposes Coronavirus (COVID-19) data and also includes; • Data sets include social, demographic, economic, weather data and more from around the world! • Data sets are tagged and categorized by ‘data stewards’ • CDP is Denodo Server running on AWS Cloud • Users can search and browse data sets using Denodo Data Catalog • Can connect BI Tools (e.g. Tableau, Power BI) to CDP and create own visualizations • Can access data through Web Services APIs • Can download data • Can use Denodo Express – COVID-19 Edition for fully functional sandbox
  • 9. 9 Connected Data Sources Australian Bureau of Statistics Labor Force Survey ACAPS Air Quality Open Data Platform Allen Institute for AI ArcGIS Hub Becker Friedman Institute for Research in Economics, University of Chicago California Health and Human Services (CHHS) Carnegie Mellon University Centraal Bureau voor de Statistiek (CBS), Netherlands COVID19-India (covid19india.org) Data Science for Social Impact Research Group (DSFSI), University of Pretoria Dipartimento della Protezione Civile, Italy Europa Press European Centre for Disease Prevention and Control (ECDC) Federal Ministry of Social Affairs, Health, Care and Consumer Protection (BMSGPK), Austria France GEOJSON French Government Open Data (data.gouv.fr) GlobalHealth 50/50 Google - COVID-19 Community Mobility Reports Hong Kong Department of Health Humanitarian Data Exchange Institute for Health Metrics and Evaluation (IHME) Instituto de Salud Carlos III International Monetary Fund (IMF) Istituto Nazionale di Statistica, Italy Johns Hopkins University (JHU) Center for Systems Science and Engineering (CSSE) Junta de Castilla y Léon Kaiser Family Foundation (KFF) Ministerio de Sanidad, Spain Ministry of Health of New Zealand Ministry of Health, Brazil Ministry of Health, Consumer Affairs and Social Welfare, Spain Ministry of Health, Labor and Welfare, Japan National Institute for Health (NIH) - National Library of Medicine (NLM) Netherlands National Institute for Public Health and the Environment (RIVM) New York City Department of Health and Mental Hygiene (DOHMH) Office for National Statistics, UK Organisation for Economic Co-operation and Development (OECD) Our World in Data Public Health England Robert Koch Institute (RKI) RSS News Feeds San Francisco Department of Public Health (SFDPH) Servicio Publico de Empleo Estatal (SEPE), Spain Statista.com Statistics Austria Statistics Canada Statistics Norway Statistics Sweden Taiwan Centers for Disease Control Texas Department of State, Health Services Thailand Department for Disease Control The COVID Tracking Project The Economist The Government of the Hong Kong Special Administrative Region - Census and Statistics Department The New York Times The World Bank United Kingdom Government Open Data (gov.uk) United Nations Educational, Scientific and Cultural Organization (UNESCO) United Nations Population Division, Department of Economic and Social Affairs US Department of Labor Wharton School of Business, University of Pennsylvania World Health Organization (WHO)
  • 10. 10 http://www.coronavirusdataportal.com Denodo Coronavirus Data Portal SEARCH THE CURATED DATASETS ENHANCE YOUR DASHBOARD BI TOOLS WITH INTEGRATED DATA PORTAL EXTEND DATA INTEGRATION USING API SERVICES /DOWNLOADABLE CSV DATASETS CONTRIBUTE TO THE INITIATIVE
  • 11. 11 Denodo’s Coronavirus Data Portal Architecture File Denodo Express COVID-19 Edition Data Catalog Data Portal JDBC ODBC API GraphQL GeoJSON Sandbox Sandbox Sandbox
  • 12. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 12 NIIT Technologies – Overview Key Services Digital Services Data & Analytics Intelligent Automation Infrastructure & Cloud 250+ Clients 18 Countries Strong Vertical Focus InsuranceBanking & Financial Services Travel Transportation & Hospitality 55 NPS Score 80% Employee Satisfaction 38% Revenue from Digital 12.2% Attrition rate - lowest 11,000 Employees from multiple nationalities 21 Sales offices, 7 near shore. 6 data centers, 10 Dev Positioned us as a ‘Leader’ in the NelsonHall NEAT Report for RPA & AI in Banking 2019 Leader among midsize agile software development service providers NIIT Ranked No.2 In ‘General satisfaction in IT Sourcing Relationship’ by UK Clients In 2018 Positioned us as a ‘Leader’ in Wealth Management Operations in 2018
  • 13. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 13 Data & Analytics Practice Highlights 2500+ Consultants From ADVISORY to IMPLEMENTATION Avasant 2020 Disruptor Monetize Modernize ManageCognize 100+ Projects 75+ Active Customers 45+ Innovations 26+ Strategic Partnerships 1500+ Certifications Open banking solution on Kafka/Storm/Cassandra for a Tier-1 bank “50K transactions/second meeting PSD2 standards” Teradata to Cloud modernization for a US hospitality chain “30-40% savings projected” BusinessOutcomes Workforce analytics solution for a leading bank in UK “2 weeks cycle time reduced to on-demand insights” “Accelerating Actionable Insights using our data science jumpstarts, Analytic & Technology innovations” SOME OF OUR STRATEGIC PARTNERS & ALLIANCES OUR DIFFERENTIATION – INNOVATION OFFERINGS
  • 14. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 14 NIIT’s AI, Analytics and Data Practice Cognize ARTIFICIAL INTELLIGENCE Modernize DATA ENGINEERING Manage DATA MANAGEMENT Data Lake/Hub NoSQL Streaming Solutions NLP / Unstructured Data Virtualization MDM Traditional DWH Data Migration Data Quality Metadata Data Visualization Machine Learning Deep Learning Graph Analytics GPU Analytics Cloud DWH Monetize DATA SCIENCE Customer HR Travel Insurance Banking Healthcare
  • 15. © 2020 NIIT Technologies NIIT Adaptive Insights in times of Change
  • 16. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 16 Times they are a changing… Marketplace has disrupted post Covid… Supply chains are redefined Workforce, Customer, Sales, Operations have new models of working Revenue is under intense pressure, resulting in search for innovative models to drive topline and cut bottom-line Times calls for adapting to these changing times.. NIIT leverages Denodo and other technologies to help customers get a quick bang for the buck, realizing scalable actionable insights with minimal investment to protect TCO of enterprises.
  • 17. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 17 NIIT Adaptive Insights on Denodo illustrative examples 1 Helping to solve the workforce optimization problem and analyze workforce data 2 Helping to build a data meter to monitor data usage for remote workforce and remote customers 3 Helping to build a data fabric driven by a logical warehouse for low cost adaptive insights 4 Build a polycloud solution at low cost by drawing meaning from hybrid and on- prem sources 5 Enable Lineage
  • 18. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 18 Illustrative Example of Adaptive Insights on BCP A C T I O N E X A M P L E I N S I G H T
  • 19. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 19 Business Context of building Use Cases on Denodo • Covid Indicators • Build business continuity plan in few clicks. • Risk Profile • Office Capacity • Forecasting • Route Optimization Denodo Covid Portal Department Risk Factors Employee Demographics EDA, Predictive & Network based Analysis Denodo Data Virtualization & Covid Portal, Python, UI/UX Options - Can be hosted on Cloud Data Sources Outcome Architecture Analysis
  • 20. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 20 Architecture Context of Covid Risk Prediction pyodbc User Portal Personal Details, Behavioral, Symptoms, Comorbidity Profile psycopg2 Flask Company Database Employee Demographics, Regional Information, Travel Details, Covid Test Status, Mortality Status and others Psycopg2/pyodbc DATA INGESTION VISUALIZATION Feature EngineeringEDA • Data Merging • Missing Data Imputation • Outlier Treatment • Derived Features • Feature Selection (ANOVA, RFE, Feature Importance) Model Selection • Spot Check with LR, NB, KNN, DT, RF, Light GBM & Adaptive Boost • LR selected with best ROC-AUC Model Hypertuning • Hypertune the regularization parameter C • Learning Curves Model Output • Training & testing accuracy • Output with risk level & Likelihood MODEL DEVELOPMENT Denodo Covid Portal Age mortality, Ethnicity mortality, Regional incidence rate, mortality rate and others 1 2 3 4 5 6 7 8
  • 21. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 21 AI and Analytic Context of Denodo Use Case Dataset Analysis Clustered employees by business criticality, And operational needs, safety and Build Employee Action plan and watch list Action 1 2 2 V 3 Employee demographics, Date of hire, Department, Position, Pay rate, Work experience Clusters are formed on multiple dimension Including work experience, days in organization, efficiency to segregate people with similar behavior
  • 22. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 22 How we implement for you Assess And Plan Architect Design Virtualize Operationalize Activities • Define business and technical drivers, objectives and goals • Analyze and establish source systems • Understand downstream systems/ users who will leverage the data • Define Technical Requirements • Develop Architecture Physical View • Virtualization Strategy • Develop Quality Assurance Strategy • Define Development Standards • Define canonical model • Create a Source to View Matrix • Design Connectivity to Source and Target • Design Data Quality Process • Design Data transformation Processes • Design High Level extract Process • Build Virtualization views • Implementation of data model & rules • Perform Unit, System testing • Assist user acceptance testing • Plan solution deployment • Develop run book • Deploy solution to production • Develop Operations manual • Monitor Production runs • Transition to support team Deliverables • Project Plan • Requirements Specification • System Architecture • Virtualization Strategy • Development Standards • Data Model • High Level Design • Source to target specification • Unit test report • System test specifications • Virtualization objects – Views, Schedules • System Test & UAT report • Deployment Plan • Run book • Operations Manual • Transition Plan
  • 23. © 2020 NIIT Technologies | www.niit-tech.com | Confidential 23 Our Showcase for Business Continuity Solutions 1 Back to Offices & Remotely Working 2 3 BCP & Workforce Optimization Monitoring a Data Ecosystem Post Covid
  • 24. 1. Data Virtualization enables organizations to build agile, adaptive data architectures 2. NIIT’s Adaptive Insights and Data Studio utilize proven technologies to accelerate your data and analytics solutions 3. The combination of Denodo’s market leading Data Virtualization Platform and NIIT’s deep expertise is an unbeatable combination for your next data and analytics project Key Takeaways
  • 25. Q&A
  • 26. 26 Next Steps Want to know more about how NIIT and Denodo can accelerate your data and analytics projects? Want a free consultation about your Covid data and analytics strategy? Contact us: Kelly Ercolino: kelly.ercolino@niit-tech.com Kathleen Krasniqi: kkrasniqi@denodo.com
  • 27. © 2020 NIIT Technologies Thank you