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Data analytics consulting

Most businesses don't need more data.
They need to know which number matters.

We help small businesses and nonprofits find the one constraint holding back their results — then build the analytics, automation and reporting to fix it. No platform migration, no year-long roadmap.

15+ Years in financial data analysis and cost estimation
400% ROI within six months on a retail inventory engagement
32% Reduction in stockouts for the same client
5 hrs Saved every week by one client through automation

Services

Four ways we work together

Every engagement starts small and proves itself before it grows. Pick the entry point that matches where you are.

01 — Specialty

AI & process automation

Streamline workflows and eliminate the repetitive work that quietly consumes your week — using language models and scripted automation where each one actually fits.

  • Business process analysis
  • Custom automation development
  • LLM-assisted document and data handling
  • Integration with existing systems
  • Ongoing support and optimization
02

Data strategy

A practical plan for becoming data-driven, sized to the organization you actually have.

  • Current state assessment
  • Implementation guide
  • Technology recommendations
03

Analytics solutions

Focused projects that deliver a quick, measurable win using machine learning and AI where they genuinely help.

  • Cost-benefit analysis
  • ROI on marketing strategies
  • Project portfolio optimization
04

CDO-as-a-Service

Executive-level data leadership without the executive-level commitment.

  • Establish data operations
  • Data literacy training
  • Change management support

Our process

From guesswork to evidence

Two ideas drive every engagement: know which stage you're at, and fix the constraint that's actually binding.

Stage 01

Data naive

Limited data collection, manual processes.

Driving without a map — relying on instinct, taking wrong turns, meeting roadblocks you could have seen coming.

Stage 02

Data aware

Collecting data, but not acting on it.

A paper map in the glovebox. The information exists, but it isn't shaping the route.

Stage 03

Data informed

Data supports the bigger decisions.

GPS for important trips, intuition for everything else — so the day-to-day opportunities still get missed.

Stage 04

Data driven

Data is part of every decision.

Live navigation — the system adapts to conditions, suggests better routes, and learns from every journey.

Theory of Constraints

A system is limited by its weakest link. Strengthening any other link changes nothing. So we find the binding constraint first, and spend your budget there.

It's why our engagements tend to be smaller than clients expect, and why they pay back faster.

In practice

For a retail client, the constraint turned out to be inventory management — not the IT infrastructure they were preparing to replace. We built one targeted analytics solution for inventory optimization instead.

32% Fewer stockouts
24% Less excess inventory
400% ROI in six months

Data discovery

  • Identify the critical gaps in what you collect
  • Build a way to capture the high-value data you're missing
  • Clean and reshape messy, unstructured sources

Analytics & AI

  • Surface insights that change a decision
  • Build predictive models where they earn their keep
  • Apply generative AI to the problems it actually suits

Making it stick

  • Deploy to your team, not just to a report
  • Train the people who'll use it daily
  • Hand over something you can run without us

Tools & technology

We work in the stack you already have

Starting with the tools you own, and introducing new ones only when they earn their place.

Data engineering

Turning raw, scattered data into something analytics-ready.

SQL Python dbt Airflow Snowflake

Business intelligence

Dashboards people actually open on a Monday morning.

Power BI Tableau Looker Qlik Excel

AI & machine learning

Predictive models and language models, applied where they pay.

scikit-learn PyTorch LangChain OpenAI Hugging Face

Automation

Removing the manual steps between a question and its answer.

Power Automate Python VBA Zapier Make

Cloud & infrastructure

Somewhere secure and scalable for it all to run.

AWS Azure GCP Docker

Governance & security

Knowing what you hold, where it lives, and who can reach it.

Data catalogs MDM Quality tooling

Right-sized

No one-size-fits-all. Solutions match your needs and technical maturity, starting with what you already run.

Built to outlast us

Architecture that scales with the business and survives the next change in the technology landscape.

Connected

Integrating with your existing systems so you end up with one source of truth rather than another silo.

Client story

What this looks like in practice

★★★★★
PG Living
Real estate investment firm
Started with A VBA routine to automate cost allocation
Grew into Spend tracking, revenue forecasting, and an automated offer calculator
Time returned At least five hours every week

We had a manual process for assigning costs to projects. JDS wrote a VBA routine that automated it, saving me at least five hours a week.

Once the process matured, JDS helped me create a dashboard to track spending by project and forecast revenue and expenses. With that in place, they began automating our “best offer” estimate using a proprietary formula and calculator.

Now they're helping me streamline project management. I can't wait to see what value they unlock next.

About

Who you'd actually be working with

Joy Data Solutions is a small consultancy for small businesses and nonprofits — cost estimation, financial modeling, automation and digital transformation, with a low-risk way in.

Not sure where to start?

Most clients don't know which problem to hand us first. That's a normal place to begin, and the first call usually settles it.

01 — Low-risk entry Start with a single project and see the value before anything expands.
02 — Practical delivery We keep the big picture in view but work in short cycles, so something useful lands early.
Kevin Joy
Founder & principal consultant

Over fifteen years as a financial data analyst and cost estimator, evaluating the financial health of major contractors and federal programs, and presenting to senior government leadership.

Technical Python, R, SQL, Power BI, Qlik, Tableau, and applied machine learning — aggregating messy financial data and building models on top of it.
Education MS Operations Research, Kansas State University
Graduate Certificate in Data Science, Federal Postgraduate School
BS Operations Management, University of Maryland

Example projects

What a first engagement often looks like

Four shapes of project we're regularly asked for. Yours will probably resemble one of them.

Marketing campaign analytics

Compare performance across channels to find what's actually working, and move the budget accordingly.

  • Channel performance comparison
  • Customer acquisition cost analysis
  • Conversion funnel optimization
  • Return on ad spend tracking
Python Power BI

AI customer engagement

A language-model assistant that keeps clients updated on investments, milestones and account status without anyone writing the email.

  • Personalized investment updates
  • Automated milestone reporting
  • Round-the-clock first-line support
  • Integration with your existing systems
LLMs Python

Business case analysis

Work out where the next dollar should go, comparing the alternatives on their effect on organizational value.

  • Cost-benefit analysis
  • Resource allocation optimization
  • Alternative strategy comparison
  • ROI forecasting
Financial modeling Excel / VBA

Data literacy training

Give your team the confidence to read, question and use the numbers they already have.

  • Customized training programs
  • Hands-on workshops
  • Visualization best practices
  • Change management support
Training Workshops

No form required

Book a call

Thirty minutes, no charge. You'll leave with a straight answer about whether this is worth doing — even if the answer is no.

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Contact

Start with a conversation

Tell us what's not working. If we're not the right fit we'll say so, and point you at whoever is.

You'll get A quick read on your current data maturity
You'll get At least one thing you can act on immediately
You'll get A rough roadmap, and an honest view on sequencing

Would rather just pick a time? Book directly.

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