
Describe your image

Describe your image
CONSULTING 4.0
Consulting for the 4th Industrial Revolution
Artificial Intelligence & RPA
Our suite of strategy, design, architecture, data, systems integration, program operations and risk services is combined with our deep domain and sector knowledge.
To realize value from AI, you need innovative integration and orchestration of robotic, intelligent and autonomous capabilities at the system level. This transformation can occur in five non-discrete domains:
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Insights: Discover deeper insights, faster, in ways that augment human cognition
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Performance: Design systems that learn from data and experience to improve outcomes over time
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Automation: Leverage robotic, intelligent and autonomous capabilities to transform operations through automation
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Experiences: Enhance human experiences using systems that predict, sense, learn and move
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Trust: Design, build and monitor automated systems to promote and sustain trust
First, we’ll demystify and help your team understand the value and risks, pragmatically defining the capabilities needed for your organization to adopt and scale AI. Then we’ll work with you to incorporate the robotic, intelligent and autonomous capabilities that will transform and innovate the way you operate and compete in the Transformative Age.
After invading factories, robots are taking their place in our daily lives and in companies through various forms: artificial intelligence, automation of repetitive tasks, assistance and decision-making, etc. Beyond the technological breakthrough, robotization is a societal revolution that transforms industry and agriculture, among other white collar jobs.
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In Strategizer, we developed a global offer to help clients with the impacts of their RPA, by:
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Structuring their transformation roadmap and business plan by using benchmarks and expertise collected from many sectors: banking, energy and utilities, information and technology, industry;
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Choosing their technology partners on the basis of continuous market studies, allowing for independent recommendation of the most adapted and the most updated solutions;
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Managing transformation projects in a pragmatic way, to initiate a Proof Of Concept on selected processes, to anticipate adoption drivers such as robust HR & Change management strategy.
Info. & Data Management
Data being the 'Oil of the new Era" is undoubtedly the real intrinsic business value, making up a major business potential, but also bringing inherent operational risk for the company if it is not appropriately managed and controlled.
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Our Experts in Strategizer provide you with the following world class strategic data management consulting services:
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Enterprise data governance strategy
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Data governance organisational structure, processes and policies
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Data governance requirements
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Technical architecture for trusted data
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Enterprise data governance implementation – methodology & project management
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EIM review, maturity assessment & roadmap
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EIM technology assessment, evaluation and selection
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Enterprise metadata management strategy
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Enterprise data quality strategy & DQ firewall implementation
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Data Visualization Strategy & Implementation
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Information Protection Strategy and Implementation Methodology
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Information Life-cycle Management Strategy & Implementation
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Master data management (MDM) strategy & methodology
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MDM requirements & readiness review
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MDM review, maturity assessment & roadmap
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MDM technology assessment, evaluation and selection
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MDM implementation project management
Data Commercializtion
Data Science Team in Strategizer support our clients capitalizing on the strategic value of Data Monetization in todays Knowledge Economy through delivering a full portfolio of Data Commercialization services including economic activities where data value chain activities as a whole. Our services cover Data monetization through data exchange as a commercial transaction and through data exchange as a non-commercial transaction for indirect economic impact (benefit).
Our Data Science Team in Strategizer provide you with the following:
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Data value chain and data ecosystem stakeholders identification
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Data commercialization and data economy business modelling
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Data ecosystem development and enhancement
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Data economy impact assessment.