Are You Ready for AI Data Visualization?
Before diving into advanced analytics, let's make sure you have the foundation for success. Our assessment process helps identify your current capabilities and creates a tailored roadmap.
Start Your AssessmentInitial Capability Assessment
We've learned that jumping straight into complex AI visualization without proper groundwork often leads to frustration. That's why we start with understanding where you are right now.
- Current data infrastructure evaluation
- Team skill level identification
- Technical requirement analysis
- Resource availability review
- Timeline expectation setting
Find Your Starting Point
Different organizations need different approaches. We've developed three main pathways based on hundreds of client assessments since 2023.
Data Foundation
If your data is scattered across systems or lacks structure, we start here. Clean, organized data is essential before any visualization work begins.
Team Readiness
Have data but your team needs training? We focus on building internal capabilities while implementing pilot visualization projects.
Advanced Implementation
Strong data and skilled team? Perfect for jumping into sophisticated AI-driven analytics and custom visualization solutions.
Your Journey Timeline
Based on our experience with similar projects, here's what you can realistically expect. Every organization moves at their own pace, but this gives you a framework.
Discovery & Assessment
We examine your current data landscape, interview key stakeholders, and identify immediate opportunities and potential roadblocks.
2-3 weeks typicallyFoundation Building
Data cleanup, system integration, and initial team training. This phase sets everything up for long-term success.
4-8 weeks depending on complexityPilot Implementation
First visualization projects go live. We start small, learn fast, and iterate based on real user feedback.
6-10 weeks for initial deploymentScale & Optimize
Expand successful approaches across your organization. Add advanced AI features and custom analytics as your team grows comfortable.
Ongoing partnershipWhat We've Learned
After working with organizations across various industries since 2022, we've noticed some patterns. Companies that take time for proper preparation consistently achieve better outcomes than those rushing into implementation.
"We tried implementing visualization tools without proper data foundation. Waste of six months. Arvato helped us restart with proper groundwork - completely different results."
"The assessment phase seemed like extra time at first, but it saved us months of confusion later. Understanding our actual capabilities was crucial."
Preparation Checklist
Before we start working together, gathering this information helps us understand your situation better and plan more effectively.
Data Inventory
- List all current data sources and databases
- Document existing reporting tools and dashboards
- Identify data quality issues you're aware of
- Note any compliance or security requirements
Team Assessment
- Current technical skill levels in your team
- Who will be primary users of new systems
- Training budget and time availability
- Change management experience
Business Context
- Key business questions you need answered
- Current decision-making processes
- Success metrics for this project
- Timeline constraints or deadlines
Celestine Varga
Senior Implementation Specialist
"The organizations that do best are those who honestly assess their starting point. No judgment here - we've seen it all and can work with any situation."