Innovation

Great product vision is the spark. Action plan is the path towards success.

I support product decision making by turning an initial product vision into a mitigated action plan.

Technology pilot

When risks are high, technology pilot guarantees feasibility and predictable product integration.

I manage pilot project to reach practical proof-of-concept.

• Integration
• Internal development
• External development

This includes an overall assessment of functional and non-functional technology requirements: 

• Features
• Security
• Consistency
• Freshness
• Accuracy
• Performance
• Scalability

Data product management

Business intelligence is an internal product that feeds on overall company data, requires specific management and relies on a specific implementation team and infrastructure.

Depending on data maturity, I support teams in defining prioritised metrics and analytical goals, identify required data team resource and help recruit. finally I build team and manage business analytics with typical agile methods.

Typical tasks are:

• Team training and data-driven culture building
• Team process migration to Saas
• Workshop on metric definition (like UX for product team)
• Survey of resource for data team build
• Build data team and platform (modern stack)
• Data delivery management as PO/SDM/SRM (migration, pipelines)

Master Data Management:

Inappropriate data flow is the most common bottleneck of end-to-end corporate processes. How does it look like ?  Usually teams having little ownership of the data they produce, struggling to collaborate with others and fit in a unified company process – error prone manual actions, low data quality, unclear data semantic, no single source of truth, no system interfaces. In the worse case teams can be pretty much data-isolated from each other if data is siloed in specific tools.  

I manage Master Data Management surveys and suggest improvement recommendations on:

• Metadata and single source data flow
• Ownership and governance
• Data Infrastructure 

Such surveys are typically realised as following: 

• Survey of company processes with various team stakeholders
• Inefficiencies mapping: erroneous data, time waste, missing automation, missing insights
• Mapping of current metadata and flow
• Identification of single source of truth
• Recommendations on ownership, governance. 
• Recommendations on missing instrumentation and infrastructure