Your non-stop flight to strategic data & analytics transformation
Make your data & analytics strategy future-proof with our support and start with a comprehensive overview of your Data & BI landscape. Our workshop offers you the boarding ticket for businessinsights and a non-stop flight to your analytics strategy with AI.
Data & Analytics Roadmap Workshop
Our goal is to establish a partner relationship and provide holistic customer support. We accompany you on your analytics journey - from vision to operation, so that analytics is successfully implemented and lived.
This workshop offers a comprehensive overview of the development of a future-proof data & analytics strategy. The participants develop a measßtailored masscustomized BI roadmap, prioritize requirements and design a sustainable data architecture. We also develop strategies for effective change management, data governance and the integration of modern SAP tools. The course combines theoretical concepts with practical applications to ensure a holistic approach to data analytics.
- Development of a customized masstailored data & analytics strategy for your company
- Identification and prioritization of the most important analytics requirements
- Design of a future-proof data architecture and governance structure
- Creation of a concrete roadmap for the implementation of analytics solutions
- Planning a proof of concept to validate the developed strategy
- Data & analytics managers and strategy developers
- Business intelligence managers and data managers
- Management consultants and digitization experts
- Decision-makers from medium-sized and largelargecompanies
We clarify the following points in a discovery call:
- Positioning: What analytics goals are you pursuing?
- Challenges & goals: What are currently your biggest biggestssbiggest hurdles?
- Data management requirements: What do you need from a centralized data system?
- System landscape: Which systems do you currently use?
- Development of a BI strategy
- Development of a future-oriented analytics roadmap
- Identification of key KPIs and success factors
- Coordinating the data strategy with corporate goals
- Recording and evaluating current challenges
- Prioritization of analytics use cases
- Analysis of stakeholder requirements
- Definition of quick wins and long-term goals
- Design of a scalable data architecture
- Conception of sustainable data management
- Integration of data sources and systems
- Strategies for data security and governance
- Overview of SAP analytics tools and technologies
- Development of a change management approach
- Planning of training and enablement measuresssmeasures
- Creation of a concrete implementation plan and PoC concept
- Development of a data governance structure with clear roles and responsibilities
- Development of strategies to safeguard and improve data quality
- Discussion of compliance requirements and their implementation
- Planning of change managementmeasures for a successful BI implementation
- Overview of current SAP analytics tools and their possible applications
- Evaluation of self-service BI and advanced analytics solutions
- Discussion of cloud vs. on-premise options for BI infrastructures
- Creation of a training and enablement concept for users and IT teams
Course materials:
- Comprehensive workshop documents and presentations
- Practical exercises and case studies
- Access to relevant analytics tools and demo environments
- Templates for roadmap development and strategic planning
Prerequisites:
- Basic knowledge of data management and business intelligence
- Understanding of business processes and decision-making
- Experience with data-driven projects is an advantage, but not essential
- Willingness to actively participate and share experiences
Materials:
- Detailed documents on the content of the workshop
- Practical exercises and lab sessions
- Access to SAP Analytics Cloud demo installations (SAP Content)
Prerequisites:
- Experience with SAP Analytics Cloud an advantage, but not required
- Roadmap presentation:We present a short and long-term roadmap for Data Management & Analytics.
- Discussion:We discuss the feasibility of the roadmap recommendations.
- Documentation:We define short and long-term steps for architecture implementation.
- Recommendation:We integrate change management and governance into the roadmap.
- PoC plan:We plan the proof of concept in the roadmap.
How much are the participation fees?
KNOWLEDGE
Useful information
R and Python are both leading programming languages in data analysis...
R is a programming language designed for statistical applications, which enjoys a high degree of diffusion especially in the field of Data Science...
The article describes the SAC & GCP solution, with which Excel plan data can be easily and conveniently imported into SAP Analytics Cloud (SAC) models. With the help of Excel templates and a user-friendly web application, the data is prepared locally and automatically transferred to the SAC model via the SAC Data Import API.
Artificial Intelligence stands for artificial intelligence (AI). And since there is no universally accepted philosophical definition of intelligence, different views of what artificial intelligence is can also be found...