Bol.com
Using automated forecasts
Using automated forecasts
We reduced the lead time of the core budgeting process at bol.com from 3 months to 3 weeks. By using automated forecasts deployed in BigQuery
Work process
Phases in project
Phases in project
1. Diagnose
Specialist in problem solving
& conceptual thinking.
2. Decision making
Data collection, processing &
orchestration in production systems
3. Phase 1 of implementation - Quick wins
Broad analytical toolkit across SQL,
Python, ETL & BI tools.
3. Phase 2 of implementation - 4 workstreams
Broad analytical toolkit across SQL,
Python, ETL & BI tools.
Work process
Outcomes
Outcomes
1. Replace linear forecasts with advanced models
Specialist in problem solving
& conceptual thinking.
2. Automate generating forecasts in BigQuery
Data collection, processing &
orchestration in production systems
3. Replace “offline” dashboards with online dashboards
Broad analytical toolkit across SQL,
Python, ETL & BI tools.
4. Redesign of the budgeting process
Broad analytical toolkit across SQL,
Python, ETL & BI tools.
Ready to grow?Contact us
What is business all about
Selling proposition that gives a company an advantage over competitors business concept may involve.