R&D and Innovation Analytics

“Unleash Breakthrough Innovation with Data-Driven Insights – Powered by KEPLER Consulting Domain Expertise”

With the strong domain experience of KEPLER Consulting, Kepler Advanced Analytics pushes the boundaries to make data-driven decision in order to achieve breakthrough insights for innovative initiatives in all business areas using cutting-edge analytical methodologies and emerging technologies.

Innovation Analytics demands a deep understanding of statistical, mathematical, and data analysis techniques. Stay at the forefront of analytics developments, exploring novel applications to drive new innovations and outpace competition in today’s dynamic business landscape.

Through data-driven analytics, businesses uncover hidden patterns and insights, driving the development of new products, services, and processes. Continuous data analysis identifies improvement opportunities, optimizes workflows, reduces costs, and enhances customer experiences.

Innovation Analytics identifies inefficiencies, reveals bottlenecks, and discovers growth opportunities. Our advanced analytics solutions empower organizations to make informed decisions and drive transformative changes.

Our Expertise in Innovation Analytics

Ensuring accurate data and selecting appropriate models for predictive analysis
Identifying relevant variables to reflect the real-world environment in simulations
Determining market and technology trends and making assumptions in scenario modeling
Assessing the impact of emerging technologies on innovation projects and selecting analytical techniques

Predictive Models for R&D and Innovation: Driving innovation strategy and R&D investment decisions through predictive modeling
Monte Carlo Simulations for Project Uncertainty: Mitigating project risks and uncertainty with Monte Carlo simulations
Evaluating Market Conditions and Technology Trends: Assessing market impact and technology trends for informed decision-making
Comprehensive Technology Landscape Analysis: Gaining comprehensive insights into the technology landscape for strategic planning

Collection and analysis of data from diverse sources to create a comprehensive view of the technology landscape in technology intelligence
Analyzing competitors’ technologies, patents, and R&D investments to identify their current strengths and weaknesses in competitive intelligence
Providing accurate patent analysis for effective IP strategies and avoiding infringement risks in patent analytics
Staying updated on technology trends and delivering timely insights to clients through technology monitoring
Analyzing data on emerging technologies to identify R&D opportunities and innovation strategies in innovation analytics
Facilitating collaboration, managing intellectual property, and ensuring confidentiality in multi-organization partnerships in innovation management

Technology Landscape Analysis and Insights: Delivering comprehensive analysis and valuable insights on the ever-evolving technology landscape, enabling informed decision-making and driving technological advancements for business growth
Competitor Technology Analysis and Benchmarking: Staying ahead of the competition with in-depth technology analysis and benchmarking
Patent Analysis and IP Strategy Development: Leveraging patent analysis for robust IP strategy development
Ongoing Technology Watch and Monitoring: Continuous monitoring of technology trends for proactive decision-making
Innovation Trend Analysis and Forecasting: Identifying innovation trends and forecasting future opportunities
Facilitating Open Innovation and Collaboration: Fostering open innovation and efficient collaboration management

Dealing with large data volumes, ensuring data quality, and selecting relevant data in data analysis
Predicting failures through sensor data analysis and advanced analytics techniques in predictive maintenance
Ensuring data accuracy, handling missing data, and providing comprehensive insights in data analysis
Selecting appropriate modeling techniques and ensuring data reliability in modeling and analytics
Accurately identifying anomalies while minimizing false positives in anomaly detection
Ensuring timely delivery of alerts and enabling immediate actions based on insights in real-time analytics
Tracking assets accurately, optimizing utilization, and utilizing advanced analytics for maintenance in asset management

Sensor Data Processing and Analysis: Leveraging sensor data for informed decision-making through valuable insights extraction
Predictive Maintenance Analytics:Taking proactive actions to address maintenance concerns by employing the power of predictive maintenance analytics
Environmental Monitoring Analytics:Ensuring environmental regulatory compliance via advanced monitoring analytics
Predictive Modeling for Future Trends: Predictive modeling enables the forecasting of future trends and behavior patterns
Anomaly Detection and Corrective Actions: Identifying Unusual conduct and taking prompt corrective action
Real-time Monitoring and Timely Alerts: To ensure quick response and issue resolution through real-time monitoring and alerts
Asset Management Analytics: Applying modern analytical techniques to maximize asset utilization and maintenance

Estimating accurate costs, determining optimal investment levels, and aligning investments with business strategy pose challenges in capital expenditure planning
Challenges in resource management include optimizing allocation, identifying growth potential, and aligning with strategy
Capacity planning challenges involve accurate forecasting demand, planning expansion, and aligning with strategy
Growth planning challenges include forecasting potential, identifying strategies, and aligning with objectives
Market expansion poses challenges in identifying markets, estimating costs, and aligning with strategy
Product launch presents challenges in identifying strategies, measuring impact, and aligning with strategy
Challenges in patent strategy include assessing value, aligning with objectives, and navigating the patent landscape

CAPEX Analytics: Scenario modeling, sensitivity analysis, and benchmarking for optimal investment decisions and alignment with peers
Resource Allocation: Utilization analysis, scenario modeling, and optimization for efficient resource allocation and growth
Capacity Growth Analytics: Demand forecasting, supply chain optimization, and cost-benefit analysis for effective capacity expansion strategies.
Growth Potential: Market research, trend analysis, and competitive analysis for identifying opportunities and gaining advantage
Greenfield Projects: Market research, benchmarking, and risk assessment for new market exploration in greenfield investments.
Pilot Launch/Soft Launch: Experimental design, customer behavior analysis, and cost-benefit optimization for launch strategies
Patent Analytics: Portfolio optimization, landscape analysis, and valuation for effective patent management

Data integration challenges hamper collaboration.
Quantifying design changes is tough
Incomplete or inaccurate product data is a challenge
Lack of standardized VAVE framework creates obstacles
Resistance and constraints hinder VAVE implementation and benefits

Vave Opportunities: Identify and prioritize cost-saving opportunities for products
Cost Reduction Analytics: Use analytics for cost reduction initiatives, such as value stream mapping and design optimization
Cost Reduction Analytics: Utilize analytics for optimizing product design through simulation and other tools
Value Analysis Analytics: Analyze customer needs and preferences to create value
Benchmark Analytics: Conduct benchmarking to identify best practices and areas for improvement, promoting performance and growth