Customer-centric Transformation & Strategy
Customer-centric Transformation and Strategy
The Customer-centric Transformation and Strategy focus on defining a customer-centric business model and a transformation process to support the Customer Centric Strategy. The result is a shift from a product-oriented to a customer-oriented value chain.
- Customer experience framework as a definition of a customer-centric business model
- Business model canvas and business case to ensure sustainable success
- Transformation plan as the basis for a smooth transition of the business model
- Improved customer relations through better customer satisfaction
- New revenue streams based on a redefined business model
- New value pools by leveraging customer insights
- Reduced time to market based on better efficiency
- Resilience by directly addressing customer needs
- Defined Customer Interaction Strategy
- Willingness to redefine the existing business model
- Availability of key experts and support of management
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Customer Interaction Strategy
Customer Interaction Strategy
How to design unique customer interactions? How to define the right channel and touchpoint setup? How to integrate physical and digital channels and touchpoints? These are some of the main questions that must be answered within a Customer Interaction Strategy.
- Digitalization and connection of customer touchpoints in one learning system
- Creation of reach, optimization of the sales funnel, and expansion of the brand's ecosystem
- Continuous improvement through analytics-based automation and innovation
- Improvement of customer retention rate through an increase in conquest and retention
- Improvement of NPS based on superior customer experiences
- More revenue per sale based on optimized sales and marketing performance
- Availability of data and access to relevant experts
- Support of top management
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Cybersecurity Risk Assessment
Cybersecurity Risk Assessment
Capture cyber landscape, analyze critical risks and define concrete mitigation plan
Siemens Advanta’s holistic risk management strategy revolves around our clients' core goals, empowering them to thrive in an era of escalating uncertainties.
Siemens Advanta helps identify and prioritize risks according to their business impact and derives tailored measures to proactively manage them for its clients. Siemens Advanta’s management perspective helps its clients minimize risks effectively and achieve faster responses through prioritized actions, better risk mitigation, and increased risk coverage by linking IT, OT, and Cloud environments.
From embracing a comprehensive approach to managing risks, Siemens Advanta centers its strategy around the fundamental goals of its clients, leveraging globally recognized cybersecurity practices. This ensures heightened cybersecurity and cyber resilience in an increasingly uncertain world.
Siemens Advanta provides a step-by-step approach to capture an organization’s cybersecurity landscape in four main areas: governance, people, process, and technology. Risks are identified and prioritized according to their business impact and the likelihood of a cybersecurity incident. Finally, Siemens Advanta tailors and defines concrete measures, responding directly to the unique needs of its clients.
Siemens Advanta’s management perspective enables its clients to act swiftly, focus on high-priority tasks, improve risk mitigation, and increase risk coverage by linking IT, OT, and Cloud.
- Identification of qualitative and quantitative cybersecurity risks
- Analysis and prioritization of identified risks based on likelihood and impact
- Defining security controls and implementing measures to achieve targeted security levels
- Strengthened resilience against unforeseen challenges and risks
- Enhanced agility when adapting to changing market conditions and improved resource allocation for effective risk management
- A customized risk assessment methodology tailored to the company's unique needs and objectives
- Increased shareholder value through prioritizing high-impact risks and mitigation actions
- Expanded risk coverage by connecting IT, OT, and Cloud systems
- Establishment of key business goals by senior management
- Access to essential data, such as IT infrastructure, data assets, and existing security controls
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Advanced Analytics for Supply Chain Management
Advanced Analytics for Supply Chain Management
In an increasingly globalized economy, robust supply chain management is essential to meet customer demands, minimize costs, and mitigate risks. Our data-centric approach enables organizations to strengthen risk management, refine planning accuracy, and optimize working capital. By streamlining procurement processes, we uncover cost-saving opportunities and alternative sources. Through a blend of advanced analytics and industry expertise, we deliver tangible outcomes for our clients, driving operational efficiency, and reducing costs.
- Efficiently manage the supply chain through demand planning and inventory optimization
- Emphasis on operational excellence by identifying prime sources for improvement
- Streamline production operations, lead time, and distribution management for holistic improvements
- Boost forecasting accuracy by over 5%
- Enhance efficiency by reducing manual planning efforts by up to 80%
- Identify substantial savings potential through duplicate material analysis
- Lower average inventory and working capital requirements
- Reduce procurement costs and rapidly adapt to fluctuating price levels by improving transparency
- Access to accurate and high-quality data for advanced analytics implementation
- Cross-functional alignment on goals and efforts among procurement, logistics, finance, and IT
Industrial AI
Industrial AI
Industrial AI is revolutionizing the manufacturing landscape, enabling businesses to increase productivity and reduce costs. At Siemens Advanta, our deep expertise in the AI and IoT domains helps clients harness this technology to drive growth and competitiveness. We combine AI & IoT technology with digital consulting and domain know-how, integrating best practices from our own Siemens factories to provide customized solutions that optimize manufacturing processes and improve product quality.
- Advising industrial companies in defining and implementing their AI strategy
- Customized AI and IoT solutions tailored to the specific needs of each client
- Domain know-how, insights, and best practices from Siemens’ own factories
- Increased productivity and efficiency through optimized manufacturing processes
- Reduced costs and downtime by identifying areas of improvement
- Improved product quality through better process control and defect detection
- Enhanced decision-making through data-driven insights and predictive analytics
- Competitive advantage through the adoption of advanced AI and IoT technologies
- A culture of innovation and a commitment to continuous improvement
- A willingness to invest in the adoption of AI and IoT technologies to optimize manufacturing processes
- The ability to adapt to change and embrace new technologies
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Data Strategy
Data Strategy
Our Enterprise Data Strategy solution enables organizations to capitalize fully on their data assets. We assess the data strategy maturity of industrial enterprises, identify infrastructure requirements, develop employee competencies, and advocate for ethical data use. With our robust enterprise data readiness assessment framework, we pinpoint capabilities across data-centric business, people and processes, and tools & infrastructure, helping clients shape and execute their data strategy based on priority areas.
- A well-defined roadmap and sustained support for implementing recommended data strategy initiatives and realizing set goals and objectives
- Seamlessly integrating data initiatives with overarching business objectives in a data-centric business approach
- Fostering a data-centric culture and cultivating a data-literate workforce
- Streamlining data collection and deploying data-enabling tools & IT architecture
- Achieving a comprehensive data maturity assessment, showcasing strengths and opportunities for growth
- Focused attention on high-impact data strategy initiatives to deliver transformative outcomes
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Sustainability Check-up
Sustainability Check-Up
Quickly assessing a firm's sustainability maturity is essential in the jungle of increasing customer requests and constantly changing regulations. Companies need to understand where they are on their sustainability journey. Siemens Advanta's Sustainability Check-up is a quick two-week assessment of a company's maturity level. It accelerates their sustainability transformation through concrete recommendations to tackle future challenges.
- Receive a unique sustainability maturity profile, with an overarching ESG score across 16 categories
- Get best-in-class insights accompanied by tailored recommendations and concrete next steps
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Green Lean Digital Factory
Green Lean Digital Factory
Siemens Advanta supports industrial customers in the holistic transformation towards their Operations of the Future for entire factory networks and individual factories, accelerating the increase in sustainability, flexibility, speed, productivity, and zero-defect culture. The Green Lean Digital Factory combines the characteristics of the Smart Factory with Lean principles to achieve sustainable competitive advantage through a holistic transformation across the four GLDF core elements - Strategy, Processes, Scalable Technologies, and People & Culture.
- Develop a strategy and roadmap for your operations of the future
- Increase the maturity of your processes, the level of automation and digitalization of your factories, and achieve your sustainability goals
- Define the required use cases and IT/OT infrastructure requirements
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Digital Factory Planning
Digital Factory Planning
Designing future factories with digital twins
Siemens Advanta supports in designing future-proof factories (greenfield or brownfield) based on a standardized approach, innovative planning methods and digital tools. By creating digital twins to define the optimal material flow, production processes and detailed layouts, the client’s planning premises can be evaluated and its factory performance enhanced significantly.
- Factory layout validation and optimization
- End-to-end planning process (greenfield and brownfield)
- Development of location, building, and infrastructure requirements
- Reduced planning time and increased quality
- Decrease capital expenditure by optimizing floor space, number of machines, and assets through the use of digital twin (e.g. material flow simulation, 3D model)
- Improve performance of the factory and its processes (validated by simulation)
- End-to-end transparency across assets and improved utilization of those assets
- Increase energy efficiency of factories and production networks
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Custom Solutions
Custom Solutions
Design & development of custom solutions
Digitally transforming by, for example, incorporating IoT into an enterprise is a complex process that requires many calculated decisions. Siemens Advanta can define, design, and implement solutions to tackle today’s evolving challenges and meet emerging business requirements. Implementing the right solution architecture is key to economic progress with a comprehensive outlook, ensuring the best tools to solve unique business needs.
- Consulting and Integration
- Reduced risk and complexity
- Holistic, tailored end-to-end solutions
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