Seminar “Analyzing the Potential of Big Data”

What is behind buzzwords such as Digital Transformation, Machine Learning, and Artificial Intelligence, and what is their potential benefit for your organization?

This seminar supports you in systematically analyzing your needs and benefits from using Big Data in your organization to improve your processes and products or explore completely new directions before even investing in Big Data consultancy and tools. We will answer the following questions:

• How can Big Data support you in achieving your goals?
• What hidden data treasures are available in your organization?
• How difficult is it to analyze the data?
• Which investments in data quality are required?
• What external data sources can be useful in this regard?
• What competencies are required for data-driven solutions?
• What investments into your tool infrastructure are required?

Throughout the seminar, we will present usage scenarios that show the potential offered by the use of data-driven approaches, such as optimization of business and organizational processes, better risk management, better decision-making, improved understanding of your customers, or new product ideas. In hands-on exercises, you will reinforce your learning experience.

Motivation

• Turning data into knowledge
• Benefits and challenges of data-driven approaches
• Success factors

The Big Picture of Potentials Analysis

• Business- and data-driven innovation strategies

Strategic Alignment

• Identifying business goals/processes
• Deriving data-driven business cases
• Measuring success/failure

Data Integration, Data Preparation, Data Analysis, Data Visualization

• Linking and integrating data
• Preparing data for analysis
• Analyzing data and visualizing results
• Validation and deployment

Data and Information Quality

• Identifying quality properties
• Root causes of good/bad quality
• Evaluating and managing quality

Infrastructure and Competencies

• Big Data reference infrastructure
• Big Data skills and competencies
• Evaluating of both

Assessment of Readiness for Data-driven Solutions

• Analyzing skill deficits
• Deriving deployment plan
• Managing risks

Conclusions and Discussion

• Summary and discussion