Start shaping a bold corporate future with the advanced new ISO standards framework for delivering Innovation Management Systems ISO 56002:2019.

About

This is the result of many years of Innovation Management Framework research, analysis, design and development with novel and emerging innovation management models, methods, tools, standards and techniques.

Key Benefits

• INNOVATION MANAGEMENT • Start shaping a bold corporate future with the advanced new ISO standards framework for delivering Innovation Management Systems ISO 56002:2019. This is the result of many years of Innovation Management Framework research, analysis, design and development with novel and emerging innovation management models, methods, tools, standards and techniques: - Technology Innovation + Economic Disruption = ”Creative Destruction” Futures Studies: - • The Eltville Model – Pero Micic • Strauss-Howe Generation Waves • Horizon Scanning, Tracking and Monitoring • Weak Signal, Wild Card, Black Swan Events • Possible, Probable and Alternative Future Outcomes • Delphi Oracle – Technology Innovation Crowd Sourcing Strategic Foresight: - • Strategy Discovery and Development • Scenario Planning and Impact Analysis • ”Thinking about the Future” Framework • Disruptive Futurism • ”Creative Destruction” = • Technology Innovation + Economic Disruption Economic Modelling and Econometrics: - • Schumpeter Economic Cycles • Long-range Economic Forecasting • Game Theory – Von Neumann, Lanchester, Hunt • Economic Disruption in ”Creative Destruction” Technology Innovation: - • Product Vision • Logical Analysis • Cognitive Filtering • Intuitive Assimilation • Immersion • Miniaturisation • Integration • Technology Innovation in “Creative Destruction” Design and Development - • Product Lifecycle Management ((PLCM) • Product Discovery • Research • Architecture • Product Planning • Market Analysis • Market Value Propositions (MVPs) Production Engineering - • Project and Programme Management • Marketing • Logistics • Merchandising • Product Build • Assembly • Packaging • Product Support • Customer Services Innovation Management: - • Enterprise Change Management • Digital Business Transformation • Data Science • Analytics • Insights • Finance • Planning • Strategy • Forecasting • Reporting - Actual v. Plan / Budget / Forecast This framework is not as yet a complete certification for innovation practitioners - but includes principles, policies and guidelines with individual and organisational benchmarks for creating an Innovation Ecosystem to exploit innovation qualities and capabilities driving the development of mission critical innovation management skills and expertise. Innovation Research Process: – Engage, Empower, Discover, Improve Engage Involve the entire business in innovation – internal and external stakeholders (staff, colleagues and business partners) and innovation crowds (customers and suppliers) – to become engaged and involved at every level of the organisation across the end-to-end innovation process). Promoting the highest-priority and most critical innovation initiatives, organisational and product challenges and research, development and marketing campaigns – is key to achieving corporate goals and objectives. Encourage an enterprise culture of innovation ownership and participation through targeted innovation communications ‘highlighting’ stakeholder and innovation crowd achievements – ‘featuring’ those contributions most effective in driving the collaborative innovation process. Empower Provide your stakeholders and innovation crowds with a shared, collaborative workplace environment – innovation processes, content, systems and data analytics tools – to enable people to resolve organisational, marketing and technology product challenges. Support and re-enforce your innovation goals and objectives with a collaborative SmartCare Innovation Ecosystem featuring capture and query Apps to provision, process and publish diverse “out-of-the-box” contributions – crowd innovation content, ideas and concepts – for elegant and focused solutions to high-priority innovation initiatives. Discover Discover new innovation opportunities through exploiting Horizon Scanning, Tracking and Monitoring using Artificial Intelligence and Machine Learning for detecting novel and emerging patterns and trends in on-line content gleaned from Academic Publications, Social Media Analytics and Competitor Intelligence – searching for Weak Signal, Wild Card, Black Swan Events then profiling using Data Analytics – Cluster Analysis and Balanced Scorecards. Scope and bound newly discovered innovation ideas and concepts to evaluate content and impact innovation opportunities through Innovation Crowd Sourcing, expert Delphi Oracle and Innovation Discovery Workshops. Improve The best ideas and concepts need an innovation management platform to enable research, development and design to flourish. Innovation Ecosystems support SmartCare – full ‘round trip’ Social Media brand management and product engineering – listeners, consumer FECI profiling, sentiment analysis, recommendation networks, customer conversations, product and brand management, CRM / CEM and digital marketing, all driven by Data Science (Real-time Analytics and Actionable Insights) – in order to deliver a collaborative environment in which your stakeholders and innovation crowds can work together to design, develop and socialise initial ideas and concepts into solutions and products. Innovation Development Process: – Plan, Prepare, Execute, Review Plan Not all ideas are equal. Enable an open, objective evaluation by aligning ideas and concepts assessment and decision making with the customer offer, experience and journey (CEM) and organisational strategic goals and objectives, involving stakeholders and innovation crowds – internal and external staff, colleagues and business partners – in the innovation assessment process to design, develop and refine the Market Value Proposition (MVP) for socialisation and approval. Prepare Encourage wider and more frequent participation in special interest groups (SIGs), innovation briefings, forums, seminars and workshops – to share case studies of those ideas and concepts that became successful Market Value Propositions (MVPs) to demonstrate how those critical improvements and changes which made a positive and lasting innovation impact have been discovered, refined, enhanced, audited, selected and implemented. Execute Ensure that your Market Value Propositions (MVPs) become reality. Assign activities and tasks to the most appropriate people and track Actual progress v. Plan towards completion. Manage multiple related work streams together, transforming programme plans to prepare, launch and deliver the Market Value Proposition (MVP) into successful business outcomes. Review Maintain the continuous flow of data into your Innovation Ecosystem. Notify your stakeholders and innovation crowds with new, improved innovation content, methods, tools, techniques, processes and business outcomes, keeping them totally involved in innovation ideas, concepts, initiatives, Market Value Propositions and business outcomes and fully informed of new innovation content and supporting information within a structured, repeatable and searchable Innovation management framework. SMAC Digital Models, Methods, Utilities, Tools, Techniques: - Digital Technology Innovation creates novel and evolving change activities. Enterprise Data Services which support change are delivered via robotic process automation (RPA). BusinessValue is extracted from new digital products and services through deploying Digital Asset Management (DAM). SMACT/4D Digital Technology Stack: - • Social Media | User Content | Social Intelligence | Digital Marketing • Mobile Platforms | MEAPs / MADPs | Smart Devices | Smart Apps • Analytics o In-memory Computing – Real-time Analytics | GPGPUs, SSDs o Fast Data – SAP HANA/S4, Teradata, Netezza | Flash Storage o Data Science | Analytics | Visualisation | Insights | Scenarios o Big Data – Apache Hadoop, Spark | Cloudera, Pivotal, MAPR o Artificial Intelligence | Machine Learning | Neural Networks | Robotics • Cloud o Amazon Web Services( AWS), Azure,, Angular, Meteor, React o Cloud SaaS Platforms - NetSuite, Salesforce, Workday • Telematics – Telemetry | Remote Sensing | Machine-generated / Automatic Data Streams |WiFi| LAN |WAN | IoT • 4D Geospatial Data Science | Geo-demographics | Spatial Analytics o GIS Mapping | Location, Property &People Gazetteers (LPPG) Digital Asset Management (DAM) conserves, curates and exploits valuable Digital Assets – Enterprise Data along with their associated Services. Digital Assets are now widely regarded as important in driving business value. Just as other tangible assets are monetised, Enterprise Data and Services have a fiscal value on the balance sheet. Digital Products and Services in the new Digital Economy power enhanced operational performance from increased data and revenue streams driving accelerated business results. The Digital Enterprise Design Method: - Business Design Phase • Scope – Purpose, Motivation & Vision • Discovery – Business Architecture Design • Governance – Enterprise Architecture Design • Communications Strategy – Stakeholder Engagement • Management Strategy – Programme / Project Planning • Reporting Strategy – Actual v. Budget / Forecast / Variance • Benefits Strategy – Business Value Model Design, Cashflow • Transformation Strategy – Business and Organisational Change Technology Design Phase • Business v. IS / IT Strategy Alignment – Architecture Domain Model • Business Operating Model Design – Digital Enterprise Model • Technology Architecture Design – Solution Model • Transition Model Design – Architecture Roadmaps • Integration Architecture Design – Collaboration Model • Building Block Portfolio Design – Micro-services • Resource Portfolio Design – Technology Services • Digital Asset Portfolio Design – Enterprise Services Many of the challenges encountered in transforming the Digital Enterprise result from attempts to integrate multiple, divergent Future Narratives from various key stakeholders across the Business – with different Transformation viewpoints, drivers, concerns, interests and needs. This is overcome by developing - in a collaborative environment - a shared, common GlobalVision of the future state of the Digital Enterprise – including Business and Technology Roadmaps – to plan, deliver and realise the new Digital Vision. Digital Asset Management (DAM). Many of the challenges encountered in transforming the Digital Enterprise result from attempts to integrate multiple, divergent Future Narratives from various key stakeholders across the Business – with different viewpoints, drivers, concerns, interests and needs. This is overcome by developing - in a collaborative environment - a shared, common Global Vision of the future state of the Digital Enterprise – including Business and Technology Roadmaps – to plan, deliver and realise the Digital Vision. Digital Technology Innovation creates novel and evolving Enterprise Data Services delivered via robotic process automation (RPA). Business Value is extracted from new digital products and services through deploying Digital Asset Management (DAM). Digital Asset Management (DAM) conserves, curates and exploits valuable Digital Assets – Enterprise Data along with their associated Services. Digital Assets are now widely regarded as important in driving business value. Just as other tangible assets are monetised, Enterprise Data and Services have a fiscal value on the balance sheet. Digital Products and Services in the new Digital Economy power enhanced operational performance from increased data and revenue streams driving accelerated business results.

Applications

Digital Portfolio Management and Architecture Domains: - BUSINESS TRANSFORMATION DOMAIN • Business and Enterprise Architecture • Strategic Foresight and Disruptive Futures • Technology Innovation and Economic Disruption • Organisational Change and Business Transformation TRADING and TREASURY PLATFORMS • Zainet, Endur, Findur, • Allegro ETRM, Amphora Symphony • SAP Treasury and Risk Management (TRM) ERP, CRM, BI and DWH DOMAIN • Oracle CRM, EBS, Retail • Microsoft Dynamics, BizTalk, Black Pearl • Visual Studio, C#, Dot.Net • SAP HANA/S4, Teradata, Netezza • HANA Studio, BO, BW, BPC, EWH, GRC • SAP IS/Retail, IS/Utilities, ECC6/7 Financials • Telco Architecture – OSS / BSS / ESS / MVNO • Telco / Energy / Utilities - Billing / Network Mgt. DIGITAL TECHNOLOGY DOMAIN • Digital Marketing – Radian6, Sprinklr • Lifestyle Analytics and Consumer DNA • Social Intelligence and Behavioural Science • Demographics, Socio-graphics, Psychographics • GIS Mapping, Geospatial Modelling and Analytics • Biomedical Data Streaming and Digital Healthcare • Digital Telco / Media – 4/5G MVNO, OSS, BSS, ESS • Music / Entertainment - Audience Metrics / Analysis • e-Commerce, Customer Offer, Experience and Journey • Social Media Listeners – Brandwatch, Crimson Hexagon ECONOMICS / FISCAL MANAGEMENT DOMAIN • Accounting / Finance Conventions - GAAP / IFRS • Business and Financial Analysis • Forecasting, Planning and Strategy • Data Science, Analytics and Insights • Economic Modelling and Econometrics • Financial Modelling and Business Analysis • Enterprise Risk Management Frameworks • Business Strategy, Planning and Forecasting • Propensity Modelling and Predictive Analytics • Front Office – Energy and Commodity Trading • Middle Office – Financial Instruments and Risk Management • Back Office – Exposure, Settlements and Treasury Management • Schumpeter Economic Cycles – Kitchen, Juglar, Kusnets, Kondriatev • Technology Innovation + Economic Disruption = “Creative Destruction” ROBOTICS, AUTOMATION, CYBERNETICS and IOT DOMAIN • Digital Healthcare, Biomedical Analytics • Smart Homes and Building Automation (SHABA) • Smart Grid, Smart Meters, Distributed Generation • LIDAR, Environment Scanning and Object Mapping • Remote / Distributed Metrics, Monitoring and Control • Robotics, Process Automation, Autonomous Machines • Artificial Intelligence, Machine Learning, Neural Networks SMAC Digital Models, Methods, Utilities, Tools, Techniques: - SMACT/4D Digital Technology Stack: - • Social Media | User Content | Social Intelligence | Digital Marketing • Mobile Platforms | MEAPs / MADPs | Smart Devices | Smart Apps • Analytics o In-memory Computing – Real-time Analytics | GPGPUs, SSDs o Fast Data – SAP HANA/S4, Teradata, Netezza | Flash Storage o Data Science | Analytics | Visualisation | Insights | Scenarios o Big Data – Apache Hadoop, Spark | Cloudera, Pivotal, MAPR o Artificial Intelligence | Machine Learning | Neural Networks | Robotics • Cloud o Amazon Web Services( AWS), Azure,, Angular, Meteor, React o Cloud SaaS Platforms - NetSuite, Salesforce, Workday • Telematics – Telemetry | Remote Sensing | Machine-generated / Automatic Data Streams |WiFi| LAN |WAN | IoT • 4D Geospatial Data Science | Geo-demographics | Spatial Analytics o GIS Mapping | Location, Property &People Gazetteers (LPPG) Data Science • Analytics • Insights • “Turning Data Streams into Revenue Streams” Data Management Tools: - • API Services – Apigee, Flume, JSON, Restful, SOAP, Splunk • Integration Services – Kafka, MuleSoft, SFTP, Talend • Messaging Services – Fusion, NetWeaver Pi / Xi, WebMethods, WebSphere MQ Series • Data Management – Ascential Suite, DataFlux, Embarcadero, Informatica • Data Discovery, Analysis, Audit and Profiling / Data Quality Management and Reporting Data Analysis Utilities: - • Data Mining – CHAID Analysis • Data Extract, Transformation and Load (ETL) • Big Data – Hadoop MapReduce, Apache Spark • Data Science – Analytics and Actionable Insights • Monte Carlo Simulation, Clustering • Bayesian Statistical Probability Analysis • Profiling, Cluster Analysis - Inliers, Outliers • Real-Time Analytics, In-memory Computing • Wave-form Analytics and Spectral Diagnostics Data Visualisation Tools: - • Data Visualisation – Looker, Matlab, QlikView, Statgraphics, Tableaux Enterprise Services - Digital Applications: - • Customer Profiling and Segmentation • Cluster Analysis - Balanced Scorecards • Lifestyle Analytics and Consumer DNA • Scenario Planning and Impact Analysis • Economic Modelling and Econometrics • Propensity Modelling, Predictive Analytics • Social Intelligence and Sentiment Analytics • Geospatial Data Science and Demographics • Social Media Listeners – Brand Watch, Crimson Hexagon • Social Media Analytics – Salesforce Marketing Cloud (Radian6), Sprinklr • Digital Asset Management (DAM) – content capture, analysis, indexing, storage, publishing and distribution

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