Kontaktieren Sie uns

Digitalisation, Data & Automation for Small Businesses

One-Day Practical Training | VieKey Studio — 6–7 hours including the practical workshop. Also available as a half-day or modular in-house course.

Scope

A practical introduction to organising business information and processes so they can be automated, analysed and increasingly supported by AI.

The course bridges the gap between traditional Excel/email-based administration and modern structured digital workflows.

Agenda & Sessions

Session 1 — Understanding Business Digitalisation Processes • information flows • documents • data • systems • cloud applications • identifying automation opportunities

Session 2 — From Spreadsheets to Structured Data Excel • CSV • tables • fields • identifiers • data quality • databases • SQL fundamentals

Session 3 — Workflow Automation Triggers • actions • approvals • document generation • notifications • APIs • integration concepts

Session 4 — AI + Business Data AI-assisted analysis • extracting information • classification • structured outputs • document processing • knowledge retrieval

Session 5 — Designing a Digital Business Workflow Mapping existing processes • identifying bottlenecks • selecting tools • controls • implementation roadmap

Practical Workshop Participants transform a sample manual process into a structured digital workflow.

Skills You Will Develop

Process mapping • data structuring • Excel/CSV • database concepts • automation • AI integration • workflow design

After This Training, You Will Be Able To…

  • Map and analyse an existing business process.
  • Identify processes suitable for digitalisation and automation.
  • Structure business information for effective reuse.
  • Understand when spreadsheets, databases and structured files should be used.
  • Identify opportunities for AI-assisted processing.
  • Design a practical digitalisation roadmap for a small organisation.

Keywords: Digitalisation • Automation • Excel • CSV • SQL • Databases • APIs • AI • Workflow • Structured Data • Process Improvement

Kontaktieren Sie uns