Making iot deliver business value v4

Making iot deliver business value v4

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  Making IoT DeliverBusiness Value 1
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  KELLTON TECH, APIONEER OF DIGITAL TRANSFORMATION 4 Foundation 2009 Footprint USA, UK, Ireland, Singapore and India Clients Startups to Fortune 500 Core Strength People and Technology ISO 9001:2015 & CMMi Level 5 Ownership Public Limited BSE, NSE: KELLTONTEC Team 1500+ Employees McLean | Princeton| Jersey City | Chicago | Houston | Cupertino | Dublin | London Singapore |Delhi | Hyderabad | Kandla |Pune 2
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  3 GLOBAL EXPANSION ANDACQUISITIONS Experienced management with pedigree from premier institutes Wharton, Kellogg, NITI, IIT’s and IIM’s
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  Siva Subrahmanyam Chavali Sr.Architect, Kellton Tech Solutions Sean Riley Global Director for Manufacturing, Software AG & Speakers: 4
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  5 • IoT Introduction •IoT Pilots Statistics • Revenue Growth Opportunities using IoT • Top 4 IoT pilot Implementation Pitfalls • IoT Successful Implementation Strategies • Architectural Considerations • Build vs Buy • Choosing the right IoT Platform • Software AG IoT Challenges. • Manufacturing Industry IoT Use cases. • Kellton Tech Expertise & Value Proposition • IoT Centre of Excellence • Case Study – Implementation Strategy Agenda
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  The Internet ofThings, as the name suggests, is a combination of the internet and things. The internet provides the capability to connect while things (e.g. Edge Devices) capture the data and transfer it for further analysis. So IoT is basically an ecosystem of connected physical devices that are accessible through the internet and have the ability to collect and transfer data over a network without manual assistance or intervention. Each IoT solution is a combination of some of these “must have” components. SENSORS & ACTUATORS COMMUNICATION CHANNEL DATA COLLECTION OVER CLOUD INFORMATION DELIVERY APPLICATION 6 Internet of Things (IoT) Introduction
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  InsuranceAutomotive BuildingsIndustrial products Travel & Transport ElectronicsRetail Energy and Utilities Aerospace & Defense Manufacturing Connected Car Predictive Maintenance Connected Fleet Connected Elevators Wearables for Worker Safety Digital Twin Manufacturing Quality Connected Appliances Store Wellness Smart Grid Asset Health Internet of Things (IoT) Introduction - Continued. CONNECTING THINGS TO DELIVER DIGITAL EXPERIENCES USING THINGS 7
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  IoT in Action– across Industries & Regions 0 10 20 30 40 50 60 70 (IoT realization in % - Industry) (IoT realization in %) 0 5 10 15 20 25 30 35 40 45 50 North America EMEA APAC (IoT realization in % - Region) (IoT realization in %) 8
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  IoT Pilot Implementations& Value Statistics • 70% of the companies are failing to capture the value from their IoT Pilots & the pilots are too slow* • 85% of companies spend more than one year on pilots while 28% of companies are spending more than 2 years & yet, they are still not successful at capturing the business value desired* • 60% of enterprises do not have the analytics capabilities to take advantage of the data generated from IoT* * Stats were collected from various sources. 9
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  After a successfulIoT implementation, an organization becomes: • More Connected • Analytically Capable • Highly Secure • Strongly Cognitive 8.6% 11.0% 12.1% 16.8% Connected Data First Secure Cognitive Key Business Measures Increase Operational Efficiency Reducing cost of materials, Productivity of Workforce Faster time to Market & Lower Dev Costs Assets Productivity & Predictive Maintenance Customer Satisfaction & Loyalty Quality of Service / Product Unique / Differentiating Value Proposition 10 Empower Sales & Marketing Channels. Up sell / Cross Sell products Enablement of New Business Models Explore Hidden Business territories Revenue growth opportunities with IOT
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  Top 4 CommonPitfalls of IoT Pilot Implementations • Focusing on Technology over Strategy & Vision towards Business Goals • Strong Business Use cases / Problems • Lack of Vision on RoI • Narrow Focus & Lacking Big Picture • Decision of Build vs Buy & Ability to Customize • Lack of Industry Governance on Standards and Security • Internet security risks • Unawareness • Unable to leverage the data collected • Lack of Efficient Analytical Capabilities • Tools • Strong Technology Competence 11
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  • Proactive monitoring •OTA software updates • Remote access SERVICE •Predictive maintenance •Identify process issues •Real-time stat reporting ANALYZE • Closed loop product lifecycle management • Configuration management • Knowledge management • Remote diagnostics • Quality Assurance • Risk management INTEGRATE • Differentiate products • Enable customer self-service • Personalization of products • Introduce new business models • Value added services INNOVATE“Biggest Business Value is delivered when the IoT generated Data is leveraged at it’s fullest potential” IoT Successful Implementation Strategies 12
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  IoT Architectural Considerations 13 •Business Consideration • Strategy & Vision of Functional Requirements • Business Agility & Continuity • Pricing / License Models • Business Expansion Plans • Multi-Tenancy • Safe and Secure Partitioning of Tenants data • Custom Business Domains for Sub-tenants • Rebranding the IoT Platforms
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  IoT Architectural Considerations 14 •Technology Considerations. • Device Management. • Installation, Maintenance and Communication. • Bulk Registration / Decommissioning of Devices. • Support for a variety of Devices. • Firmware & Software Management. • Device Monitoring & Realtime alerts. • Interoperability & Data Integration with Enterprise IT systems and B2B Systems. • Data Storage & Analytics • Performance. • Low / No Latency in Device Communication and Management. • Scalability and Extensibility of the Solution • Deployment Models. • Loose Coupling with Devices, Gateways, Integration & Analytical platforms. • Customization Support. • Security
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  There are awide number of IoT platforms available, including ThingWorx, Microsoft (Azure IoT), Amazon (AWS IoT), Cumulocity, Leonardo IoT. Here is a comparative analysis to help you choose the right platform for your business needs. 15 Choosing the right IOT platform
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  Based on thefunctionalities offered and our experience on the implementation for each platform, we have created a scorecard that helps in comparing certain platforms. Parameters Description Azure Score AWS Score Cumulocity Score Core functionality Device Management 5 3 5 Authentication and Authorization 5 4 5 Communication Channels 5 5 5 SDK and programing language 5 5 5 Extra capabilities 4 4 5 Monitoring and Identity Registry 5 4 5 Device Communication 5 3 5 Security 4 5 4 Application and Services 4 3 5 Scalability 4 5 5 Availability & Disaster Recovery 5 4 5 Time to Market 2 1 5 Total Score 53 46 59 Note: Ratings are done on 5-point basis. 5 is the highest score and 1 is the lowest 16 Functionality based scorecard for an IOT platform
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  BUILD FROM SCRATCH Buildinga custom solution from scratch allows endless customization to create a competitive advantage. It provides the freedom to choose the suitable architecture and technology stack to meet the expectations and feasibility. BUY OFF THE SHELF Off-the-shelf software are ready-to-use solutions that can be customized up to a certain extent. An off-the-shelf product will typically be moderately priced when compared to a custom developed product. Off the shelf solutions significantly reduce time-to-market, as some parts of the module may only require minor modifications. Decision of Build Vs Buy Vs Customizable 17
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  1 3 Build from Scratch BuyOff The Shelf Base Factors Build from Scratch Buy Off The Shelf Compliance to Standards Most Restricted Compliance Time To Market Most Lowest Inoperability Most Medium Scalability Most Scalable Intermediate Scalability Maintenance Required High Low Level of Customization Highest Lowest In-House Competencies Most Restricted Solution Longevity Ensures Longevity Restricted Longevity On-Going Support Full Vendor Support Full Vendor Support Customization Most Restricted Decision of Build Vs Buy Vs Customizable – Continued. 18
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  19 40% 5 years support Commercial IoT Platform In-HouseSolution Development&OperationalCost Source: Build, Acquire and Buy: By, MachNation 5 million IoT devices Enterprise grade © 2019 Software AG. All rights reserved. IOT Platforms are more cost effective 19 https://www.machnation.com/iot-platform-build-buy-tco-calculator/
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  Software AG IoTChallenges & Manufacturing Use Cases & Case Studies 20
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  • But Onlyin experimentation phase 19% only 19% of IoT projects are actually in production of executives are launching IoT Projects 73% Sources: Verizon State of the Market: Internet of Things 2017 and Constellation Research’s 2017 Digital Transformation Survey Many ongoing IoT Projects 21
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  • run inisolation, not connecting to the business 65% could not articulate business value of the IoT PoC’s for investment Source: McKinsey, CapGemini of IoT PoCs failed to convert to business practice 80% Why IoT projects fail 22
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  KEY OBSTACLES Bain -https://www.bain.com/insights/cybersecurity-is-the-key-to-unlocking-demand-in-the-internet-of-things Device Connectivity & Security Data Analytics & Response Integration Internet Of Things Projects 23
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  Significant pressure to getstarted with IoT and prove ROI quickly › Platform specializing in rapid solution development › Powerful self-service environment and easy rebrandability › Out-of-the box applications for fast time to market PAIN POINT #1 TECHNOLOGY SOLUTIONS Overcoming IoT challenges 24
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  ANALYTICS & DASHBOARDS Analyze andvisualize your data to gain insights and turn them into action < 10 minutes BUILD APPLICATIONS Build & deploy data-driven applications easily to drive business value < 30 minutes INTEGRATE APPLICATIONS Integrate with existing enterprise applications, OT systems and cloud services < 10 minutes CONNECT DEVICES Connect a new device, consume live data and be able to trigger operations < 5 minutes IoT solution building should be this fast 25
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  IoT platform onlyto offer a thin slice of the functionality we need & are difficult to couple with core business functions › An open platform that is device, network and IaaS agnostic › Advanced self-service analytics › No-code integration & APIs to enterprise IT/OT and business processes PAIN POINT #2 TECHNOLOGY SOLUTIONS Overcoming IoT Challenges 26
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  Developer • Eclipse-based tooling • Appbased coding language • Development Personas & Tooling Business Analyst (Technical) • Graphical modelling • Round-tripping between graphical and source code views Business User • Wizard-driven graphical user interface • Easy-to-use parameterization of existing templates Aligning users to interfaces 27
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  Network, connectivity, usage types varyacross the enterprise & have to be overcome › A distributed architecture › Uniform underlying technology and APIs and simple deployment PAIN POINT #3 TECHNOLOGY SOLUTIONS Overcoming IoT challenges 28
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  Active-Active Transfer; highly scalable High Availability Flexibility & Speed (Universal Translator) ProtocolFlexibility Local, Regional, Central Deployment Options Optimized Talent Central Management Authenticate to Support Uptime High Security >99.999% Batch device authentication & Updates Incorporate & support all devices quickly Device Flexibility Connectivity & analytics Overcoming IT-OT integration challenges 29
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  Disparate Sensors and Devices Connect& Manage Time IncreasingValue&ROI Alert and suggest actions to improve and correct ‘Actionability’ Automatically take ‘Corrective Actions’ Automate Make Sense of Multitude of Inputs Pan-Sensor Visibility Edge Analytics Pulling real-time data from your devices Dynamic Prediction • Determining maintenance requirements for assets based on remaining useful life Automated Actions • Re-entitling equipment based on location changes • Dispatch of technician for maintenance • Ordering of service components and consumables Service Excellence • Full visibility into field service schedules • Arrival synchronization of service components with technician • Automatic KPI monitoring and entry into analytics for referencing Device Management Connect and control your devices Condition Monitoring Understanding device usage, position, performance, & lifecycle based on streaming event & historical data Automated Actions & Alerts Take actions on predicted outcomes before they become a problem Maturity curve for value 30
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  31 • Remotely manageassets at the edge with signals every 8ms • Anomaly detection score (IO / NIO) • Closed-loop analytics (real-time execution and re-training of machine learning models) ANOMALY DETECTION & PREDICTIVE MAINTENANCE Advanced IIoT analytics for Paint stations 31
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  Kellton Tech Solutions Expertiseand Value Proposition 33 IOT
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  34 Implementation of frameworkto allow integration and data exchange between physical world entities Kellton Tech – Cost Effective Successful IoT Implementations Interconnected devices to be more productive, safer, smarter and informed than ever before Solution Stack Our Expertise Years: 7+ Experts: 50+ Customers: 10+ IoT Approach https://www.kelltontech.com/internet-of-things-solutions IoT center of excellence 34
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  ABOUT THE CLIENT Our client isone of the top three access control and security solutions companies on the global market. We developed a Cumulocity based IoT Devices & Workflow management SAAS Platform. PROBLEM STATEMENT Although the client already had a versatile and promising product there was still a gap that needed to be filled using IoT. They envisioned an IoT based solution to improve their current product and give them a competitive edge. 35 Our Experience
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  IoT Implementation & FeasibilityWorkshop Strategy Planning Develop the Business Case Implementation Roadmap Pilot Project Implementation Solution Scaling 36 Kellton’s Implementation Roadmap
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  OUR SUCCESSFUL IMPLEMENTATIONPROCESS At this stage we: • Defined the transformation impact on the business and its stakeholders • Finalized the business requirements • Defined an ROI model Strategy Planning Our Strategic Plan included: • Scenario Planning • Overall IoT implementation strategy • Legacy integration strategy • Change Management Planning • Impact to current business strategy Develop the Business Case At this stage we: • Defined the development & deployment strategy • Defined the phases and timelines for implementation • Defined the platform to be used for development • Defined the Protocols to be used • Created the Solution Architecture Implementation Roadmap 37 IoT Implementation & Feasibility Workshop We conducted various on-premise workshops to gain a deep understanding of the project requirements and gain insights on: • Current Process • Data flow, Security, Authentication • Platform Selection (eg. Cumulocity) • Solution Architecture • High Level Use Cases 1. Our Experience 2. 3. 4.
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  After the successfuldeployment of the solution, the client pitched the solution to new industry verticals and began adding more devices to the solution. Therefore, we scaled the solution to enable the adoption of more devices while scaling up our cloud infrastructure as well. At this stage we: • Started developing the production level product • QA & Feedback Incorporation • End-to-End solution deployment • Change ManagementImplementation Solution Scaling 38 At this stage we: • Developed the POCs • Validated the results • Updated the implementation roadmap based on the POC results Pilot Project Our Experience 5. 6. 7.
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  DI– Software AGCOE 39
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