Services

Insight Datalytics provides analytics and workflow optimization services designed to reduce manual effort, improve reliability, and support confident decision-making over time. Services include data analytics consulting, workflow automation, and applied AI support for teams working in complex environments.

The work focuses on helping teams move beyond ad hoc reporting and fragmented processes toward clear, well-designed systems that are efficient, maintainable, and easy to own. Engagements range from targeted analytical support to end-to-end workflow redesign, automation, and applied AI—always grounded in real-world constraints and data governance considerations.

What I Help Teams Do

Analytics, Research & Decision Support

Data analysis, visualization, statistics, and research support through focused analytics consulting to produce clear, defensible insights.

Dashboards, Reporting & Measurement

KPI design, dashboards, reports, and automated reporting systems that replace manual work and support consistent, trustworthy decisions.

Workflow & Operations Optimization

End-to-end analysis and redesign of data and operational workflows, including automation of recurring tasks and processes to reduce friction and error.

Applied AI, NLP & Machine Learning

Practical, responsible use of AI, NLP, and machine learning to accelerate analysis, uncover patterns, and automate knowledge work.

While Insight Datalytics works across a range of domains and industries, much of the service work to date has been in healthcare, life sciences, and bioengineering; fields where rigor, regulation, and data complexity are central considerations.

How Engagements Typically Work

Projects can be structured as a fixed-scope engagement, an ongoing retainer, or light advisory support.

The approach depends on goals, timeline, and internal capacity.

Project-based

Defined scope, timeline, and deliverables.

Retainer

Ongoing support with predictable monthly capacity.

Advisory

Strategy, review, and guidance without full implementation.

Investment & Pricing

The pricing approach aligns with the engagement models described above, and is tailored to the scope and level of support required.

Engagements are scoped based on the type of work, timeline, and level of support needed. Pricing is designed to be transparent, flexible, and appropriate for the complexity of the work involved.

Hourly & Advisory Support

Hourly work is well suited for targeted analysis, ongoing advisory support, or incremental automation and optimization. Rates vary by scope and focus area, with typical ranges covering analytics and biostatistics, custom coding and automation, and systems or workflow optimization.

Project-Based Engagements

For well-defined initiatives, project-based pricing provides a clear scope, timeline, and set of deliverables. These engagements are designed to give teams cost certainty while allowing enough flexibility to adapt as understanding deepens. Typical projects range from focused analytical snapshots to larger automation, AI integration, and end-to-end workflow builds.

Ongoing Retainers

Retainers are available for teams that need consistent analytical or technical support over time. This model works well for organizations with recurring reporting needs, evolving workflows, or ongoing advisory requirements, and offers predictable monthly capacity with discounted rates at higher commitment levels.

Custom quotes are provided for projects with unique scope, urgency, or complexity. Reduced rates may be available for nonprofit, government, or research-focused work.

Tools & Environment

Work is typically delivered using tools already in place, with flexibility to introduce new approaches when helpful. Common environments and capabilities include:

  • Databases & data infrastructure
    SQL-based systems, custom data models, and curated datasets designed for reuse, reporting, and analysis.

  • Programming & automation
    Python (including Jupyter Notebooks), R, custom libraries, scripts, algorithms, and automated workflows—often scheduled or triggered using system-level tools (e.g., batch files).

  • Analytics, reporting & visualization
    Excel, Google Sheets, Tableau, and other BI tools; statistical analysis, figure design, and presentation-ready outputs.

  • Applied AI & custom solutions
    Responsible use of AI, NLP, and machine learning, including custom API-driven solutions to accelerate analysis, automation, and knowledge work.

  • Documentation & written deliverables
    Technical documentation, regulatory and grant-related reporting, research and analytical writing, and reproducible workflows that support auditability and long-term use.

  • Strategy & workflow consulting
    Guidance on project structure, analytical approach, tooling choices, and process design to ensure solutions are practical, maintainable, and aligned with organizational goals.