Strategy • Analytics & BI • AI • Technology

I help businesses fix what's costing them money and time, and uncover the revenue they're missing, through strategy, analytics, AI, and technology.

Ebosele Ayewoh, MBA: "Your fractional Chief Data & AI Consultant"

One consultant across the whole problem: framing what matters, getting the data trusted, putting AI where it pays off, and automating the work your team keeps redoing.

4
Disciplines under one roof
6
Dashboard templates shipped
5
Fortune-scale employers
Abstract visualization of business performance trend lines and data signals
Experience acrossAmazonPepsiCoGEJohns HopkinsPandora

What I solve

Four levers, one operator solving the whole problem

Most problems aren't a reporting problem. They're a mix of strategy, data, AI and plumbing, so I work across all four instead of handing you one deliverable.

Strategy

You're busy, but you can't say which moves actually grow profit.

  • Problem framing, KPI tree tied to the P&L
  • Prioritized roadmap by impact vs. effort
  • Requirements your team can build from

Includes a structured discovery guide I run through with clients to map goals and build the action plan to get there.

Download the discovery guide

Analytics & BI

The numbers exist, but nobody trusts them or acts on them.

  • Clean, trusted data model from your exports
  • Executive scorecards and operational views
  • Driver analysis: what changed and why
See real dashboards

AI

AI is on the agenda, but no one has scoped where it pays off.

  • Use-case scoring: value, data readiness, risk
  • Pilot design with success metrics and guardrails
  • Build-vs-buy and tooling recommendation
  • ChatGPT
  • Claude
  • Copilot
  • Gamma

Technology & Automation

Your team is re-doing the same manual work every single week.

  • Workflow mapping and automation of repeat work
  • Systems/data integration across your tools
  • Alerting and refresh schedules that self-run
Microsoft toolkit:
Power BI, Power Automate, Excel, SharePoint, Teams
Generative AI:
ChatGPT, Claude, Copilot, Gemini
Automation & integration:
Zapier, Power Automate
Data & development:
SQL, Python
12
Years of experience
5
Clients served
Photography, Retail, Staffing, Fitness
Industries covered
$10,500
Saved/generated for clients

Testimonials

What clients say

Ebo helped us turn confusing sales reports into simple dashboards we use weekly for decisions. Quick turnaround and professional.
Jane SmithOwner · Washington, DC

Case studies

Situation, Approach, Result

ExampleAnalytics & BI · Retail
Apparel retail executive summary dashboard showing revenue and category performance

Case study 01

Situation
A regional apparel retailer's sales data was scattered across POS exports and spreadsheets, with no clear view of which products or customer segments actually drove profit versus just revenue.
Approach
Built a single retail performance dashboard consolidating revenue, units sold, and repeat-customer behavior by product and category.
Result
Leadership could finally see which product lines were carrying the business, and shifted about 18% of marketing spend toward the three highest-margin categories within a month.
ExampleStrategy · Staffing

Case study 02

Situation
A staffing agency was growing headcount but couldn't tell which client accounts or roles were actually profitable once time-to-fill and recruiter hours were factored in.
Approach
Consolidated placement and margin data into one view, then worked with leadership on account prioritization and pricing strategy.
Result
Identified two client accounts that were operating at a loss once recruiter hours were factored in, leading to a repriced contract structure and a sharper focus on the agency's most profitable roles.
ExampleAI · Fitness

Case study 03

Situation
A boutique fitness studio's owner was manually tracking leads and class follow-ups, losing hours a week and letting warm leads go cold.
Approach
Automated lead tracking and follow-up workflows, with AI-assisted prioritization of which leads to contact first.
Result
Cut manual lead follow-up time by several hours a week and moved response time on new leads from days to same-day, recovering memberships that would otherwise have gone cold.
ExampleTechnology & Automation · Photography
Photography studio revenue and bookings performance dashboard

Case study 04

Situation
A photography studio was manually reconciling bookings, package sales, and invoicing across separate tools each month, leading to billing errors and lost admin time.
Approach
Built an automated pipeline connecting bookings, invoicing, and revenue reporting into one system, removing manual re-entry.
Result
Cut a full day of monthly reconciliation work down to under an hour and eliminated recurring billing errors.

Work

Selected builds in Analytics & BI

Live, interactive dashboards you can open and click through yourself.

Company Health Overview Dashboard screenshot

Company Health Overview Dashboard

One executive read on staffing, revenue, payroll cost and margin drivers.

View live dashboard
Executive Sales Summary Dashboard screenshot

Executive Sales Summary Dashboard

Revenue, average order value and returning-customer trends at a glance.

View live dashboard
People Analytics Dashboard screenshot

People Analytics Dashboard

Headcount, turnover and tenure patterns across the workforce.

View live dashboard
Procurement Spend Monitor Dashboard screenshot

Procurement Spend Monitor Dashboard

Where the money goes: spend by region, category and vendor rep.

View live dashboard
Sales and Demand Patterns Dashboard screenshot

Sales and Demand Patterns Dashboard

Peak hours, product mix and top sellers driving demand.

View live dashboard
Service Revenue Performance Dashboard screenshot

Service Revenue Performance Dashboard

Service revenue by package and per job, with profitability per booking.

View live dashboard

From raw data to decisions

The five steps behind every engagement

Click a step to see what happens inside it.

Step 1 · Collect

We pull what you already have: exports, POS, CRM, spreadsheets, invoices. No new software required.

How it works

A simple, no-surprises process

01

Discover

Understand the problem, the goals, and what is actually driving the result you don't like.

02

Design

Map the right mix of strategy, analytics, AI or technology to solve it, and how we'll measure it.

03

Deliver & iterate

Implement it with your team, then refine as the business and the data change.

Engagements

Scoped around your problem, not a package

Every engagement looks different, because every problem is different. After a 30-minute discovery call, you'll get a clear scope and proposal built around what you actually need.

One-time diagnostic

A focused read on the problem and the highest-value fix.

Project-based build

One meaningful problem solved end-to-end and put in use.

Ongoing partnership

A standing partner keeping decisions sharp over time.

Book a 30-min discovery call

About

Enterprise experience, applied at your scale

I've built strategy, analytics and technology work across large, messy, high-stakes environments like Amazon, PepsiCo, GE, Johns Hopkins and Pandora, and I translate that discipline into simple, high-adoption systems for operators and mid-market leaders. My focus is constant: profit, efficiency, and early risk detection.

Most problems aren't a reporting problem. They're a mix of strategy, data, AI and plumbing, so I work across all four instead of handing you one deliverable.

Revenue

Product/channel growth, promo ROI, customer retention

Cost

Labor, inventory, vendor variance, discount drift

Risk

Anomalies, refunds/returns, outliers, data quality checks

AI

ChatGPT, Claude, Gamma, Gemini

Strategy

Goal-setting and prioritization frameworks (OKRs, SWOT, gap analysis) to figure out what actually moves the business forward

Tools

Power BI, Excel, SQL, Python

Portrait of Ebosele Ayewoh, MBA
Ebosele Ayewoh, MBAStrategy, analytics, AI and technology consultant. DMV and remote. Connect on LinkedIn

What I deliver

  • A clear problem statement and the business case to fix it
  • AI roadmap with scored, fundable use cases
  • Trusted data model, KPI definitions and “what to do next” insights
  • Automation of the manual work your team repeats weekly
  • Requirements and process documentation your engineers can build from

FAQ

Frequently asked questions

Let's talk

Book a free 30-minute strategy consult

Bring one expensive problem. You'll leave with a clear read on the opportunity, the effort, and the likely return.