AI Roadmap 3 week assessment
Houston Analytics Oy
Depending on your organization’s Strategic priorities, Analytics maturity and Data readiness, there are varying priorities and needs to be tackled.
A PRE-STUDY will serve as a basis for identifying and structuring analytical applications and use cases against your business needs and priorities.
Example use-cases include:
- Predictive maintenance
- Workforce planning and optimization
- Advanced demand forecasting processes
- Pricing and promotion optimization
- AI assisted intelligent process automation
- Assortment and space optimization
- Customer/employee attrition risk forecasts
- Service network optimization
Based on the business needs, we evaluate your data and technology readiness against business priorities and analytical use-cases. As a result, you'll receive concrete recommendations and a roadmap how to get started with or extend the use of Microsoft Azure solutions for applied AI.
DEFINING AND CONCRETIZING A ROADMAP FOR APPLIED ANALYTICS AND AI:
Week 1: BUSINESS & STAKEHOLDER NEEDS AND GOALS KEY ACTIVITIES:
- Reviewing strategic priorities and business objectives
- Mapping of key business processes and decision-making needs
- Identifying challenges and opportunities for improvement
- Co-creation of potential use-cases for applied analytical, predictive and mathematical optimization capabilities
Week 2: TECHNOLOGY & DATA READINESS EVALUATION KEY ACTIVITIES
- Review of IT landscape and Data Infrastructure
- Data availability and usability assessment
- Data & Technology readiness evaluation against identified business priorities and analytical use-cases
Week 3: DELIVERABLES KEY ACTIVITIES
- Listed business objectives and priorities
- Documented key business processes and decision-making needs
- Data availability and usability report
- Data & technology readiness evaluation report
- Prioritized list of use-cases for applied analytics and Artificial Intelligence
- Recommendations and roadmap for moving forward