Services Portfolio
CALL CENTER OPTIMISATION
RESOURCE AUGMENTATION
BIG DATA ADVISORY
BIG DATA PLATFORM IMPLEMENTATION
Credentials: Highlights
• Big Data Implementation across various domains – Insurance, Banking, Payments, etc.
• Processed huge amounts of Data
o Data sizes in order of 10s of Terabytes
o Data Volumes in order of 10s of billions
• TAT for the reporting process reduced from Hours to Minutes
Big Data Advisory
Software Stack Selection
- Need Analysis
- Feasibility
- Production Monitoring
- Implementation
- Performance
- Additional SW
- Columnar Database
- Visualization
Software Selection
Big Data Advisory
Hardware Selection
- Hardware Feasibility
- Storage
- Compute
- Node Architecture
- Data Transfer – Onetime
- Timings
- Tech Processes
- File structures and Splits
- Hardware Planning
- Data since beginning of time
- Yearly Growth
- Match to performance
- Data Transfer – Ongoing
- Real Time Integration
- Services Implementation
- Timings
Hardware Architecture and
design choices
Big Data Advisory
Engagement Model
• Resourcing: One onsite Data Scientist
• Duration: 7 Days
• Process :
Envisioning Big Data Strategy
Anchor Business
Requirements
Scoping Project
Hands-On Training
Experience
Big Data Advisory
Big Data Platform Implementation - Objective
• InnoTx helps organizations create an Analytics Ready Data environment.
• This helps in creating a single, unified data management framework that brings appropriate data together for reporting & analysis. Such streamlining of data provides a unified view across various segments.
Manage huge volumes of data, with multiple deployment options.
Automation of data pull, aggregation for reporting and increase in productivity
Gain deep insights to take timely action
Big Data Platform Implementation
Big Data Platform - Benefits
All data has potential value
No defined schema - stored in native format
Schema is imposed and transformations are done at query time (schema-on-read)
ELT(Extract, Load, Transform) rather than ETL processing
Designed for low cost storage
Highly agile – configure and reconfigure as required
Provide Faster Insights
Apps and users interpret the data as they see fit
ELT WORKFLOW
Big Data Platform Implementation
Big Data Platform – Data Lake Ecosystem
DESIGN
IMPLEMENT
ANALYTICS
SUPPORT
Big Data Platform Implementation
Big Data Platform – Technical Architecture
Analysis of data sources
i. Identification of data sourcesii. Analyzing the architecture of databases,
studying table structures, etc.iii. Data sizing for planning hardware
requirements
Technology setup i. Installation of Big Data platform on respective project server
ii. Installation of supporting applications such as MS office, etc.
i. Identifying data to be migrated ii. Creation of input databases and
output databasesiii. Migrating data to project server
Testing data lake architecture, UAT, validation reports, etc.
Data movement
Testing and validation
PHASE 1: Data Set-up and Movement
Activities include:• Hardware Setup and Testing• Connectivity • Big Data Platform Download and
Installation• Coherency Testing• Testing (including sample data)• Data Transfer- Final• Acceptance Testing activity
*Each process involves InnoTx team and Client support
Big Data Platform Implementation
Big Data Platform – Technical Architecture
PHASE 2: Transfer and Loading Data for End Use
Activities include:• Understanding requirements for
Metadata and final Use Cases• Document Metadata
implementation• Design/Implementation• Testing of final structured data• Regulatory Reports generation &
validation• Acceptance Testing
*Each process involves InnoTx team and Client support
i. Selection of relevant input tablesii. Marking relevance of variables in each
table
Data Model creation
i. Understand the specific report requirementsii. Reuse the existing queries to create Hadoop queriesiii. Run queries and output tables in consumable form
i. Establish connection between BI tool and Data Martii. Generation of intermediate data cubes for visualizationiii. Demonstrate generation of reports via the BI tool
Generation of reports
BI tool integration
i. Specification of output tableii. Mapping of input tables/variables to output tablesiii. Scripts for output table creationiv. Data mart creation
Creation of assets data dictionary
Big Data Platform Implementation
Delivery Process
Business
requirement
gathering and
sign offs
Specific data
sets
identification
as per mutual
discussion
Data sizing
requirements
Technology
Setup
Validation to
establish data
integrity
Analysis of
data to track
industry
trends from
the data
Reporting –
Insights,
dashboards/r
eports and
output
analysis
User review
12 3 4
56
7 8
Big Data Platform Implementation
Delivery - Success Metrics
Deliverables/Milestones Success Criteria
Infrastructure Setup Specification Documents
Infrastructure verified as per information provided in the proposal and subsequent emails
Assets Data Dictionary Excel with Tables, Variable names and their importance etc
Data Movement Pipeline (Data Pipe) Scripts that enable automated movement of data; single click run and query tests for newly moved data
Archival Data Store Basic stats comparison, eg.. row counts, sum of columns, unique entries etc
Reports Documentation Business Requirements Document: Report output values, input variables, frequency, updates, and usage (department wise)
Assets Data Mart Reports enabled with quick query respose wrt raw data
Assets Reports Tables and Graphs as per BRD
Query Performance Assessment Excel Tables and Graphs for execution time for Data ingest, Compression store, Data Cube building, Report generation etc
Real-time Dashboards via Spotfire Spotfire real-time interactivity with underlying Hadoop data
Big Data Platform Implementation
Implementation Team
• Client Engagement Manager
• Business Analyst – Requirement specification
• Data Scientist – Data & Platform architecture, Advisory & Sizing
• Data Modeler/Analyst - Design architecture and Data Model
• Big Data Engineer – Platform Implementation and ETL
• Data Analyst/s : Analytical work load
• Specialist Support if any, with vendor Involvement (If any, like Cloudera support)
• Post Go Live – Admin Roles for Maintenance & Risk
• Assumption – Delivery is on onsite basis
Big Data Platform Implementation
Big Data Platform Implementation - Impact
Case Study1: Big Data Implementation in payments & transactional intelligence
Client Context : Nodal agency for payments serving 600+ Banks/Payment product providers
Benefits:
Implementation costs 1/10th of similar implementations
Automated reporting, Complex query for analysis (for 6 products, multiple stakeholders across Banking/Govt)
High volume, High velocity, Real time, User Behaviour use cases
Big Data Platform Implementation
Big Data Platform Implementation - Impact
Case Study2: Leading Private Sector Bank
Client Context :
• Implementation of a Big Data platform (Hadoop) on premise on existing virtualized IT infrastructure
• Building a fully functional Assets Data Marts using data model, corresponding regulatory reports, and interactive visualization
• Implementation and testing of various data security and system security processes and technologies required for Banking applications and use-cases
Benefits: Archival data storage Performance DBs Real-time integration Secure environment
Big Data Platform Implementation
Contact Center Optimisation
Context:
• Customer retention processes run via centralized factory processes :• Contact or service center
processes
• High churn typical of these set ups (20-25% churn every month)
• Lack of skill leading to poor conversion – low ROI
Problem Statement:
• Planning problems• Network planning – location and
capacity planning
• Optimization problems• Conversion maximization
• Scheduling
• Skill map
Contact Center Optimisation
Contact Center Optimisation
Strategic Impact
Planning problems addressed using machine learning based “Risk of renewal” scores :
• Power management decisions
Tactical Wins
Optimization problems addressed by combining:
• “Risk of renewal” scores
• Portfolio optimization framework
• Skill level classification
Contact Center Optimisation
Contact Center Optimisation
Benefits
• Measureable ROI – higher conversion
• Measure multiple contact center KPI’s
• Optimization combining business and operational metrics
Key Features & Enablers
• Business user focused
• Configurable optimization window
• Ready deployment/consumption formats for contact center
• Configurable dashboards
• Deployment on-premise or Cloud
• Industry level machine learning models
Contact Center Optimisation
Resourcing – Solutions
• Leveraging on our deep understanding of Digital Transformation and technology-led disruption in the UAE enables us to identify and hire new and emerging skills related to this market transformation.
• Resourcing Team focussed on MENA• Dedicated team based out India office
• Partner teams based out of Eastern Europe
• Currently Serving customers in KSA and UAE
• Resourcing Model • Short Term
• Project based
• FTE placements
Resource Augmentation
Resourcing – SkillsetsTechnologies Skillsets
Big Data & Analytics Specialists (Tableau Software, R-Programming Language, Apache Spark, Storm, Pig, Apache Hive, Splunk, Pentaho, Power BI -
Microsoft Business Intelligence, QlikView, MicroStrategy, Informatica)
Web Technologies
ASP.NET / C# / VB.NET Developer, Classic ASP Developer, Java / J2EE Developer, PHP Developer
Frontend Developer (jQuery / Angular / React JS /Vue.js / etc.), Perl Developer, Python, Node.Js Developer / MEAN Stack
Developer, ROR Developer
Mobile Technologies Android Developer, iOS Developer, Windows Mobile Developer,
Hybrid / Cross Platform Mobile Developer (Phonegap / Ionic / Titanium / Xamarin / React Native / etc.)
Desktop Technologies C# / VB.NET Developer, Java Developer
C / C++ / VC++ Developer
UI / UX
Web Designer (Only HTML/CSS)
Flash / Action Scripting / Flex Developer, HTML 5 + Javascript + Jquery Developer, Web Designer (Both Graphics + HTML/CSS),
Web Designer (Only Graphics)
Software Testing Manual Tester
Automation Tester (Functional / Regression / Performance / Load / Security / etc.)
Open Source / CMS / Ecommerce DNN (Dotnetnuke) Developer, Drupal Developer, Joomla Developer, Magento Developer, Wordpress Developer
CRM CRM Developer (Salesforce / Vtiger / SugarCRM / Microsoft Dynamics / Sage CRM / Netsuite), Liferay Developer, Odoo
Developer, Sharepoint Developer
ERP Developers, Administrators (Microsoft Dynamics, SharePoint, Office 365, Odoo, SAP Business One, SAP ERP, SAP S/4HANA,
Oracle ERP, Tally ERP)
Internet of Things Specialists (Tessel, PlatformIO, IBM Watson, Losant, Azure IoT Suite, AWS IoT, AllJoyn, IoTivity, Kaa, SiteWhere, ThingSpeak,
Contiki)
Resource Augmentation
Resourcing – Skillsets
Functions Skillsets
IT Infra, Security and Cloud
Desktop Support Engineer (Windows, Unix/Linux & Mac), System Administrator
(Windows OR Unix/Linux), Network Engineer/IT Managers
Storage Implementation & Support Engineer (Dell EMC, Netapp, Hitachi,
CommVault)
IT security & Infosec Specialists (Implementation, Audit, Administration, Pen Test
specialists)
Cloud Administrator (AWS / Microsoft Azure /Google Cloud / VMware etc)
Design, Analysis, Planning &
Architecture
Database Administrator (Oracle / MSSQL / MySQL /etc.), PL/SQL / T-SQL Developer
Business Analyst, NoSQL Database Administrator (Hadoop / mongoDB / Neo4J /
etc.), NoSQL Developer (Hadoop / mongoDB / Neo4J / etc.), Project Manager,
Technical / Solution Architect
Resource Augmentation
Resourcing – Database & Pool
• Access to a wide and deep pool of skills
• Global resource pool from • South East Asia and Asia
• Middle East and Africa
• Europe and Eastern Europe
• CIS Countries
• Pool of resources from technology vendor partners
• Recruiter network in the UAE, India, and Eastern Europe
• Online sources
Resource Augmentation
Resourcing – Selection Process
• Robust identification and selection process
• Strong resume screening process - by technically qualified recruiters
• Rigorous interview process - by senior experienced executives in offshore location in India
• Final interview and alignment by UAE-based senior executives
Resource Augmentation
Resourcing – Client Servicing
• Local Client Servicing in the UAE• UAE-based account manager
• Alignment with client requirements through face-to-face meetings
• Local feedback and escalation point
Resource Augmentation
Innovation Aggregators• Leverage digital technologies to disrupt business models, re-design customer experiences and
transform business processes based on
Innovation Intelligence CloudInnovation is no longer an option. It is central to digital transformation.
There is no dearth of data. Intelligence will be the differentiator
Innovation at scale is not possible without Cloud.
About us
CloudIntelligenceInnovation
Digital Transformation Stack
InnoTx is your digital transformation partner. We help you translate your digital vision, and transform your business into a digital business. We bring disruptive technologies to
• create a first mover environment• provide a competitive edge• provide a platform to innovate
GovernmentIndustry
TransformationUtilities &
EnergyRetail
Banking & Insurance
Healthcare & Hospitality
Education
Technology-led Disruption
AI or Cognitive
IoTBig Data Analytics
eInsurance RPAPrivate, Public, Orchestration
Resourcing
About us
Who we are. What we believe in
• Middle East arm of Teckraft InfosolutionsGroup, estd 2002.
• Team of 180+ professionals spread across India, MENA and Europe offering• Advisory
• Big Data Analytics
• Software Development
• Cloud
• Resourcing Solutions
• MENA office based out of Abu Dhabi, UAE
• We enable CIO/CTO/CDO in developing services portfolio for digital transformation.
• We challenge your vision and accelerate your digital transformation. Quantum vs Incremental changes
• Making the Innovative and disruptive technology accessible locally.
• We enable experimentation. PoCs are essential
• Rooted and aligned to Govt’s vision on Innovation and backed by UAE national’s investment
About us
Logistics Pharmaceuticals ITES BFSI Manufacturing & Other International
Clients – Select List
About us