For Operations & Strategy Leaders

Most analytics and AI initiatives fail before they even start.

I help operations and strategy leaders fix that — by partnering to design the use case before build begins.

The result is initiatives that don't stall mid-build and analytics work that actually gets adopted.

Request a 20-Minute Discovery Call → Not sure where your initiative stands? Tell us a bit about it — we'll take it from there.
Sound familiar?
  • You're being asked to greenlight an analytics or AI initiative — but something feels undercooked
  • You've been through a build that stalled, got reworked, or never got adopted by the frontline
  • Your team is excited, but no one can clearly define success or who's accountable
  • You don't want to bring in Big 4, but you need an expert outside view before you commit
"The problem is almost never the data. It's that no one scoped it right before the build started."
How It Works

Rigorous. Fast. Minimal lift from you.

The review takes 72 hours to one week, requires minimal time from you, and ends with a clear Go / Revise / Park recommendation. The methodology draws on 15+ years of designing and operationalizing analytics initiatives inside large organizations.

01
Intake & Alignment
We align on the initiative scope, your constraints, and what a good decision looks like for you.
02
Structured Review
I apply a multi-dimension readiness framework to surface gaps, risks, and unvalidated assumptions.
03
Deliverable
You receive a written Go / Revise / Park recommendation with documented rationale.
04
Walkthrough
We review findings together so you can question and pressure-test the recommendation.
About

I'm Dr. Christy Aroopala, founder of CA Strategy & Analytics Advisory. With 15+ years leading analytics and strategy work at AIG, VMware, and in consulting, I help operations and strategy leaders design a valid use case before teams start building — so initiatives don't stall and analytics work actually gets adopted.

My focus is the strategic design and planning layer of analytics and AI initiatives. Having spent years doing this work from both sides — the hands-on technical work of building and deploying predictive models, managing data pipelines, writing code — as well as leading these initiatives end-to-end with executive stakeholders, I bring practitioner depth and strategic leadership to the design phase, where it matters most.

The methodology I use comes from years of applying social science research rigor to business analytics: define the problem precisely, test assumptions, map the data, design for adoption, and help leaders know before build whether the initiative is worth it.

I hold a Ph.D. and MBA from Rice University, and completed a postdoctoral research fellowship at Yale University, where I taught and conducted research. I am also a Lecturer in Operations Analytics at Rice University's Jones Graduate School of Business, teaching in the MBA and Master of Data Science programs.

Dr. Christy Aroopala
What a poorly scoped initiative costs you
Wasted build effort
Months of engineering and analyst time on a solution that doesn't match the actual business need.
Stalled pilots
Frontline teams don't adopt tools they weren't involved in designing — no matter how good the model is.
Costly rework
Redefining scope mid-build multiplies cost and damages cross-functional trust.
Credibility loss
Failed or stalled initiatives make it harder to resource the next one — even when it's the right idea.
Past Work

What this methodology delivers.

Selected examples from 15+ years of analytics initiative design and deployment. Clients anonymized per industry standard.

Revenue Protection · Operational Risk
Turning Operational Risk Into a Manageable, Measurable Problem
Operations leaders needed to reduce revenue loss and regulatory exposure from rising customer complaints — with no early warning system and no adoption plan for any solution.
Led the design, executive scoping, and deployment of a predictive early warning system successfully integrated into frontline workflows.
Impact Complaint volume dropped to the lowest rate in company history during the pilot. First fully deployed predictive model at the organization. Prevented ~$850K in projected revenue loss.
Decision Support · Client Analytics
Turning Complex Data Into a Tool Frontline Teams Actually Use
Business leaders needed to show clients the predicted impact of strategic decisions — in real time, in live meetings — without relying on static reports or manual analysis.
Led executive team through full initiative scoping for a predictive model scenario testing tool designed for field use.
Impact Voted Best Innovative Transformation Initiative in a company-wide executive competition. Selected for enterprise-wide expansion.
Analytics Function · Team Leadership
Building the Foundation for a High-Performing Analytics Function
A growing data science team lacked a structured methodology for scoping and executing strategic analytics projects — leading to misaligned priorities and inconsistent delivery.
Designed scoping methodology and templates, created a prioritized initiative roadmap, guided execution, and managed executive stakeholders throughout.
Impact Launched Customer Lifetime Value analytics product generating $2.6M in projected revenue. KPI performance improved 52% across strategic initiatives.
Get Started

Is your initiative ready to greenlight? Let's find out.

Tell me a bit about your initiative. I review every request personally and will follow up within 1–2 business days.

I review every request personally and follow up within 1–2 business days.