Build Your Company's Data Analytics Strategy

"Data is only as valuable as the decisions it enables."

Many startups and mid-sized organizations suffer from 'Data Fatigue'—they collect everything but use nothing. In this session, we strip away the technical noise to build a functional, scalable analytics strategy that aligns with your business KPIs.

Leveraging my experience at JPMorgan Chase and GE Healthcare, I help leaders move from reactive reporting to proactive, data-driven growth.

In this 60-minute strategy session, we will cover:

1. Metric Definition & KPI Alignment: Identifying the Right metrics that actually move the needle for your specific business model.
2. The Modern Data Stack (MDS): Recommendations on the leanest, most effective tools for your stage (e.g., Snowflake, dbt, Tableau/PowerBI, or open-source alternatives).
3. Data Science Roadmap: Identifying where Predictive Modeling (Machine Learning) can actually solve business problems versus where simple Analytics will suffice.
4. Talent & Team Structuring: Guidance on your first data hires—should you hire a Data Engineer, a Scientist, or an Analyst first?

What you get: Post-call, you will receive my "Analytics Maturity Scorecard"—a customized assessment of your current state and a 3-step action plan to reach the next level of data maturity.

Ideal for: Founders looking to build a data-driven culture, Product Managers needing better user insights, and Leaders scaling their first data teams.