Frequently Asked Questions

BASE Data Advisory helps start-ups and scale-ups strengthen the data foundation behind reporting, analytics, automation, and future AI efforts. The focus is on fractional data leadership, platform strategy, governance, and executive advisory for companies that need stronger structure and direction without adding a full-time senior hire. And leverages a base four pillars - BUILD, ALIGN, SCALE, ENABLE.

It means bringing in senior-level data leadership on a part-time basis. Instead of hiring a full-time Head of Data, companies can get experienced support to define strategy, align teams, prioritize investments, and build the foundation needed to support reporting, analytics, automation, and future AI initiatives.

I work with companies from start-up to scale-up that are navigating data complexity as they grow. That often includes organizations dealing with fragmented systems, unreliable data, unclear ownership, weak governance, or a platform that is no longer keeping up with business needs.

BASE Data Advisory offers four core services: Fractional Head of Data, Data Platform Strategy & Architecture, Data Governance & Operating Model, and Executive Advisory. Each one is designed to help companies move from fragmented environments to reliable, scalable systems.

BASE stands for Build, Align, Scale, and Enable. It’s the framework I use to help companies build a clear strategy, align data work to business priorities, scale platforms and operating models for growth, and enable trusted reporting, analytics, automation, and AI readiness.

This is ongoing data leadership for companies that need senior guidance without a full-time hire. It can include defining the data strategy and roadmap, aligning teams across engineering, product, and business, and helping leadership make better decisions about priorities, investments, and how the data function should scale.

This work focuses on designing or modernizing the data platform so it can support growth and evolving business needs. That can include assessing the current architecture, identifying gaps, defining a more scalable future-state platform, and aligning data pipelines to real business use cases.This work focuses on designing or modernizing the data platform so it can support growth and evolving business needs. That can include assessing the current architecture, identifying gaps, defining a more scalable future-state platform, and aligning data pipelines to real business use cases.

This service is about putting the right structure, ownership, and accountability in place so your data can be trusted and used confidently across the business. That includes governance frameworks, access controls, data quality, and the operating model needed to support reporting, operations, analytics, and AI-enabled use cases. It can also include support for privacy, retention, deletion, and compliance requirements such as CCPA/CPRA right-to-delete requests and GDPR right-to-erasure obligations.

Yes. I help companies put the right governance structure in place so data is reliable, well-managed, and aligned to privacy and compliance requirements. That can include clarifying ownership, improving data quality, and supporting processes tied to data retention, deletion, and consumer or data-subject rights requests under frameworks such as CCPA/CPRA and GDPR. CCPA/CPRA includes a consumer right to delete, and GDPR includes a right to erasure.

Yes. I help companies put the right foundation in place so analytics, automation, and future AI efforts are built on trusted, usable data—not fragmented systems and unreliable inputs. That includes improving platform design, governance, data quality, and alignment to the business outcomes that matter most.

Start by reaching out through the Contact page or the “Let’s Work Together” path on the Services page. From there, the next step is usually a conversation about where your current data environment is creating friction, what you’re trying to enable, and what kind of support makes the most sense.