Big Data Services Portfolio. Analyse Predict Monetise

Transcription

1 Big Data Services Portfolio Analyse Predict Monetise

2 Services Portfolio BIG DATA ADVISORY BIG DATA PLATFORM IMPLEMENTATION CALL CENTER OPTIMISATION RESOURCE AUGMENTATION

3 Services Big Data Advisory Consolidate Automate Predict

4 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

5 Credentials: Customers Big Data Advisory

6 Software Stack Selection - Need Analysis - Feasibility - Production Monitoring Software Selection - Implementation - Performance - Additional SW - Columnar Database - Visualization Big Data Advisory

7 Data Architecture Data Source Systems Data Processing and ETL Data Visualization Big Data Advisory

8 Hardware Selection - Hardware Feasibility - Storage - Compute - Node Architecture - Data Transfer Onetime - Timings - Tech Processes - File structures and Splits Hardware Architecture and design choices - Hardware Planning - Data since beginning of time - Yearly Growth - Match to performance - Data Transfer Ongoing - Real Time Integration - Services Implementation - Timings Big Data Advisory

9 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

10 Services Big Data Platform Implementation Consolidate Automate Predict

11 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

12 Big Data and Analytics Platform Big Data Platform Implementation

13 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

14 Big Data Platform Data Lake Ecosystem DESIGN IMPLEMENT ANALYTICS SUPPORT Big Data Platform Implementation

15 Big Data Platform Technical Architecture Full Stack Support Big Data Platform Implementation

16 Big Data Platform Technical Architecture PHASE 1: Data Set-up and Movement Analysis of data sources i. Identification of data sources ii. 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. Data movement i. Identifying data to be migrated ii. Creation of input databases and output databases iii. Migrating data to project server 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 Testing and validation Testing data lake architecture, UAT, validation reports, etc. *Each process involves InnoTx team and Client support Big Data Platform Implementation

17 Big Data Platform Technical Architecture PHASE 2: Transfer and Loading Data for End Use Creation of assets data dictionary Data Model creation i. Selection of relevant input tables ii. Marking relevance of variables in each table i. Specification of output table ii. Mapping of input tables/variables to output tables iii. Scripts for output table creation iv. Data mart creation Generation of reports i. Understand the specific report requirements ii. Reuse the existing queries to create Hadoop queries iii. Run queries and output tables in consumable form 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 BI tool integration i. Establish connection between BI tool and Data Mart ii. Generation of intermediate data cubes for visualization iii. Demonstrate generation of reports via the BI tool *Each process involves InnoTx team and Client support Big Data Platform Implementation

18 Delivery Process User review 1 Business requirement gathering and sign offs 2 Specific data sets identification as per mutual discussion 3 Data sizing requirements 4 Technology Setup 5 Validation to establish data integrity Analysis of data to track industry trends from the data Reporting Insights, dashboards/r eports and output analysis Big Data Platform Implementation

19 Delivery - Success Metrics Deliverables/Milestones Infrastructure Setup Specification Documents Assets Data Dictionary Data Movement Pipeline (Data Pipe) Archival Data Store Reports Documentation Assets Data Mart Assets Reports Query Performance Assessment Real-time Dashboards via Spotfire Success Criteria Infrastructure verified as per information provided in the proposal and subsequent s Excel with Tables, Variable names and their importance etc Scripts that enable automated movement of data; single click run and query tests for newly moved data Basic stats comparison, eg.. row counts, sum of columns, unique entries etc Business Requirements Document: Report output values, input variables, frequency, updates, and usage (department wise) Reports enabled with quick query respose wrt raw data Tables and Graphs as per BRD Excel Tables and Graphs for execution time for Data ingest, Compression store, Data Cube building, Report generation etc Spotfire real-time interactivity with underlying Hadoop data Big Data Platform Implementation

20 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

21 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 1/10 th 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

22 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

23 Customers Analytics Services Insurance Analytics Suite Big Data Platform Implementation

24 Services Contact Center Optimisation Plan Map Yield RESOURCE AUGMENTATI ON

25 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

26 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

27 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

28 Credentials: Customers Contact Center Optimisation

29 Services Resource Augmentation Advisory Fulfilment

30 Resourcing Solutions Leveraging on our deep understanding of Digital Transformation and technologyled 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

31 Resourcing Skillsets Technologies Big Data & Analytics Skillsets Specialists (Tableau Software, R-Programming Language, Apache Spark, Storm, Pig, Apache Hive, Splunk, Pentaho, Power BI - Microsoft Business Intelligence, QlikView, MicroStrategy, Informatica) Web Technologies Mobile Technologies Desktop Technologies UI / UX Software Testing Open Source / CMS / Ecommerce CRM ERP Internet of Things 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 Android Developer, ios Developer, Windows Mobile Developer, Hybrid / Cross Platform Mobile Developer (Phonegap / Ionic / Titanium / Xamarin / React Native / etc.) C# / VB.NET Developer, Java Developer C / C++ / VC++ Developer 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) Manual Tester Automation Tester (Functional / Regression / Performance / Load / Security / etc.) DNN (Dotnetnuke) Developer, Drupal Developer, Joomla Developer, Magento Developer, Wordpress Developer CRM Developer (Salesforce / Vtiger / SugarCRM / Microsoft Dynamics / Sage CRM / Netsuite), Liferay Developer, Odoo Developer, Sharepoint Developer Developers, Administrators (Microsoft Dynamics, SharePoint, Office 365, Odoo, SAP Business One, SAP ERP, SAP S/4HANA, Oracle ERP, Tally ERP) Specialists (Tessel, PlatformIO, IBM Watson, Losant, Azure IoT Suite, AWS IoT, AllJoyn, IoTivity, Kaa, SiteWhere, ThingSpeak, Contiki) Resource Augmentation

32 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) Database Administrator (Oracle / MSSQL / MySQL /etc.), PL/SQL / T-SQL Developer Design, Analysis, Planning & Architecture Business Analyst, NoSQL Database Administrator (Hadoop / mongodb / Neo4J / etc.), NoSQL Developer (Hadoop / mongodb / Neo4J / etc.), Project Manager, Technical / Solution Architect Resource Augmentation

33 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

34 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

35 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

36 Your Digital Transformation Partner A Snapshot

37 Innovation Aggregators Leverage digital technologies to disrupt business models, re-design customer experiences and transform business processes based on Innovation Intelligence Cloud Innovation 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

38 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 Industry Transformation Government Utilities & Energy Retail Banking & Insurance Healthcare & Hospitality Education Innovation Intelligence Cloud Technology-led Disruption AI or Cognitive IoT einsurance RPA Big Data Analytics Resourcing Private, Public, Orchestration About us

39 Who we are. What we believe in Middle East arm of Teckraft Infosolutions Group, estd 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

40 Clients Select List Logistics Pharmaceuticals ITES BFSI Manufacturing & Other International About us

41 Thank You PO Box Abu Dhabi UAE