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Internet of Things Maturity Model By @TonyShan | @ThingsExpo [#IoT]

IoT Maturity Model is a qualitative method to gauge the growth and increasing impact of IoT capabilities in an IT environment

Internet of Things (IoT) is booming. The “Software for the Internet of Things (IoT) Developer Survey” report, published by Embarcadero Technologies last month, shows that 77% of development teams will have IoT solutions in active development in 2015 with almost half (49%) of IoT developers anticipating their solutions will generate business impacts by the end of this year.

IoT Maturity Model (IoTMM) is a qualitative method to gauge the growth and increasing impact of IoT capabilities in an IT environment from both business and technology perspectives. It comprises  a set of criteria, parameters and factors that can be used to describe and measure the effectiveness of the IoT adoption and implementation.

Five levels of maturity are defined: Advanced, Dynamic, Optimized, Primitive, and Tentative (ADOPT). The definitions of these 5 levels are specified below:

Level
Description
Primitive
initial stage of disengaged activities in an unorganized fashion
Tentative
ad-hoc experiments of trial and error with some level of connectivity
Advanced
comprehensive framework and lifecycle for effective execution and service management
Dynamic
sophisticated analytics and consistent operationalization by means of architecture disciplines and best-practice patterns
Optimized
converged platform and unified technical stack with a repeatable process and policy-driven codification

The IoTMM is characterized as follows.

  1. Primitive
    • Siloed sensors
    • Isolated M2M applications
    • Limited functions
  2. Tentative
    • Connected devices
    • Units inter-communicated
    • Lightweight protocols
  3. Advanced
    • Managed services
    • Secured remote management
    • Reliable quality of services
  4. Dynamic
    • Smart decision
    • Contextual analytics applied
    • Harvest of knowledge and insights
  5. Optimized
    • Converged tech
    • Interplay with other disciplines
    • Unified intelligent solutions

The key enablers for each level are:

  • Primitive: Sensor, embedded units, RFID, Transcends, fosstrak, OpenPCD, OpenBeacon
  • Tentative: Wearables, MQTT, XMPP, Zigbee, AllJoyn, KAA, ThingSpeak, Mango, Contiki
  • Advanced: Remote access, cloud, CRM/ERP/PLM integration, OpenRemote, Freeboard
  • Dynamic: Dashboard, visualization, data mining, statistical modeling, Hadoop, R
  • Optimized: SMAC+, Rule engine, APIs, web services, machine learning, AI, Spark, Storm

The use of IoTMM allows a company to evaluate its methods, processes and operations, against a clear set of objective benchmarks in alignment with industry standards and best practices. Maturity is measured by the match to a particular maturity level. IoTMM facilitates an in-depth analysis of a firm, which is usually performed by seasoned practitioners. A comprehensive maturity assessment will help an organization understand the barriers in the current state and identify opportunities of improvement and growth, followed by the strategy formulation for incremental adoption and iterative evolution of IoT to pragmatically transform to the target state.

For more information, please contact Tony Shan ([email protected]). ©Tony Shan. All rights reserved.

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More Stories By Tony Shan

Tony Shan works as a senior consultant, advisor at a global applications and infrastructure solutions firm helping clients realize the greatest value from their IT. Shan is a renowned thought leader and technology visionary with a number of years of field experience and guru-level expertise on cloud computing, Big Data, Hadoop, NoSQL, social, mobile, SOA, BI, technology strategy, IT roadmapping, systems design, architecture engineering, portfolio rationalization, product development, asset management, strategic planning, process standardization, and Web 2.0. He has directed the lifecycle R&D and buildout of large-scale award-winning distributed systems on diverse platforms in Fortune 100 companies and public sector like IBM, Bank of America, Wells Fargo, Cisco, Honeywell, Abbott, etc.

Shan is an inventive expert with a proven track record of influential innovations such as Cloud Engineering. He has authored dozens of top-notch technical papers on next-generation technologies and over ten books that won multiple awards. He is a frequent keynote speaker and Chair/Panel/Advisor/Judge/Organizing Committee in prominent conferences/workshops, an editor/editorial advisory board member of IT research journals/books, and a founder of several user groups, forums, and centers of excellence (CoE).

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