Pan-Canadian · English · Mid-market

Your business runs on data. Does your leadership team run on decisions?

I help mid-market leadership teams turn fragmented data, reporting, and analytics into decisions they can actually act on, without hiring a full-time data executive. Keystone meets you at the size of the problem, from one decision that isn't working to a full data leadership gap.

Years of experience

$15M+

Quantified business impact

Book a 30-minute Fit Call See how it works

Not sure where to start?

Executive Data Review · $500 + tax · 1.5 hours

Bring one real data or reporting problem. Leave with a clear view of what's wrong and what to do next.

See what the $500 Data Review includes →

When was the last time a data insight changed a decision in your boardroom, before the decision was already made?

If any of these sound familiar

Your dashboards exist but nobody trusts them Big decisions still happen on gut feel Your data team has no seat at the leadership table Reports arrive after the moment has passed

Engagement model

Start with the problem. Scale only if the problem calls for it.

You do not need to know what to buy before we talk. Depending on what the problem turns out to be, the right next step might be a focused Executive Data Review, a broader Data Decision Audit, or ongoing Fractional Data Leadership.

Start here

Executive Data Review

$500 + tax · 1.5 hours

One focused problem. One senior working session, run as Frame, Diagnose, Prioritize from the Keystone method. You leave knowing the decision, the root cause, and what to fix first.

30-minute Fit Call first, no payment to start
Frame: define the decision you're actually trying to make
Diagnose: trace the evidence to the root cause
Prioritize: name what to fix first, in a one-page 90-Day Data Priorities plan

Book the Fit Call →

Data Decision Audit

$1,000–$1,500 · 1–2 weeks

Not sure if it's one problem or three? Over 10–14 hours, this traces the real issues back to their source across your data environment, not just the one you noticed, and ranks them by what's actually worth fixing first. You leave with a prioritized 90-day roadmap, and a clear next decision: fix it yourself, bring in specialist help, or engage Keystone.

Multi-problem diagnosis, not just one
Root cause traced, not symptom patched
Prioritized 90-day roadmap
Audit fee can be credited toward a subsequent Keystone engagement within 60 days

If the diagnosis surfaces more than this scope covers, further analysis is billed hourly and agreed with you before we proceed.

Book the Fit Call →

Fractional Data Leadership

Starting from $4,500 / month · 3-month minimum

A full-time data executive is a major commitment. Keystone gives you senior data leadership at a scale that fits a mid-market organization: 16 dedicated hours per month, focused on turning data into decisions your leadership team actually uses.

Monthly strategy sessions
Governance & KPI framework design
Executive dashboard oversight
Team capability coaching

Book the Fit Call →

For larger transformation programs, Strategic Data Leadership engagements are available from $7,000/month, with expanded scope including operating model design and hands-on team development. Ask about Strategic Data Leadership →

Executive Data Review

Start with a 30-minute Fit Call. Decide after we talk.

You do not pay before the first conversation. We will confirm whether the $500 Executive Data Review is the right next step for your problem. If it is, I'll explain exactly what we'll cover, how to prepare, and how to reserve the 1.5-hour session.

Step 1

Talk through the problem

A 30-minute Fit Call to understand the decision, the symptoms you're seeing, and whether Keystone is the right fit.

Book the Fit Call →

Step 2 · If appropriate

Run the 1.5-hour review

$500 + tax. You receive a focused working session and a one-page 90-Day Data Priorities plan. Payment and scheduling happen after the Fit Call.

No fit call, no pressure, no payment.

The problem

Does any of this sound like your company?

After 25 years across financial services, professional services, technology, industrial, and global operations, the same three patterns appear in almost every mid-market company I've worked with. The industry changes. The gap between data and decisions doesn't.

You have data. So why are the hard questions still hard?

Your business captures more data than ever. But when a critical question hits the boardroom, assembling a credible answer takes days, and by the time it arrives, the decision is already made on instinct.

Data trust deficit Slow decision cycles Disconnected systems

You hired analysts. Why isn't anything changing?

Smart people. Good dashboards. But no one is translating insight into executive action.

No data mandate at exec level Insight without action Strategy-execution disconnect

You know you need a CDO. But is now really the time?

You need senior data leadership. You don't necessarily need another full-time executive. Keystone gives you access to experienced data leadership at the scale you actually need, with no full-time commitment.

Right expertise, right scale Immediate impact No full-time overhead

What Keystone actually does

One method. Every client's problem is different.

The problem is rarely "we need another dashboard." Keystone starts with the business decision, finds what's actually getting in the way, and focuses the organization on the one intervention that will create the most value. The method is constant. What it finds, and what it fixes, never is.

Frame

Clarify the business decision, stakeholders, success criteria, and what a useful answer would change.

Diagnose

Review reports, data sources, processes, ownership, and evidence to find the root cause.

Prioritize

Rank interventions by business value, urgency, effort, and risk, then sequence the work.

Enable

Implement or enable the priority change: a trusted metric, reporting rule, decision routine, roadmap, or capability. Not just a recommendation.

Embed

Assign ownership, establish a review cadence, and define how progress and business impact will be measured.

Use case 01 · Data trust

“Our leadership team doesn't trust our numbers.”

Different reports produce different answers, so leadership spends time debating the number instead of the decision.

What Keystone does

Identify the decision and KPI causing the disagreement.
Trace the metric to its source and test definitions, data quality, process, and ownership.
Prioritize the highest-value correction rather than fixing everything at once.
Establish the agreed definition, owner, reporting rule, and review cadence.

Result: Leadership can trust the number enough to act on the decision.

Use case 02 · Analytics value

“Our analytics team is busy, but nobody feels smarter.”

Analysts are producing reports and responding to requests, but leadership still isn't seeing enough business value.

What Keystone does

Clarify which business decisions analytics is expected to improve.
Review the real request backlog, work mix, priorities, and stakeholder demand.
Stop or defer low-value work and focus capacity on the few initiatives that matter.
Establish intake, prioritization, ownership, and an executive review cadence.

Result: Analytics becomes a business-prioritized capability rather than an internal reporting ticket desk.

Use case 03 · Data leadership gap

“We know we need data leadership, but we're not ready for a full-time CDO.”

Data decisions keep landing on people without the mandate or time to own them, and a $250K–$400K executive hire feels like a bigger leap than the business is ready to make.

What Keystone does

Confirm the actual decision-making gap a senior data leader would close, not just the org chart gap.
Diagnose what's missing: governance, prioritization, or executive translation between data and the business.
Identify the smallest sustainable commitment that would genuinely close it.
Establish the cadence, ownership, and reporting rhythm a fractional leader runs month to month.

Result: Senior data ownership at a scale the business can sustain, before committing to a full-time hire.

These are examples, not a menu. Your situation may look different. The method stays consistent; the intervention is tailored to what the diagnosis finds.

Track record

What this work actually delivers

These outcomes are drawn from 25 years of transformation work I've led or contributed to. Client names are withheld. Results are not.

Data governance & compliance

$7M

Projected annual cost savings

End-to-end KYC modernization for a global bank, including an 18% improvement in compliance accuracy. Workflow automation, data governance framework, and compliance operating model rebuilt from the ground up in 6 months.

Role: VP, Digital Transformation · Product owner

Data quality & operating model

86%

Enterprise data quality achieved

Insights-led transformation strategy for a large industrial conglomerate, reducing operational friction across 4 business units. Governance redesign and technology simplification built in 18 months.

Role: Head of Business Excellence · Workforce optimization lead

Analytics-led operations

35 pts

Reduction in visa rejection rate

Transformed a compliance-driven global mobility function into an analytics-enabled operation, improving service SLAs by 25%. Human-centric redesign with data as the operational backbone.

Role: Head of Global Mobility

Automation & cost transformation

$8.5M

Cost savings delivered

RPA and automation program across global shared services, cutting cost-to-serve by up to 45%. Scaled delivery model while maintaining quality throughout.

Role: Process automation consulting lead

About

Ganesh

Founder, Keystone Data Advisory

"Data is not a technology problem. It's a leadership problem. And leadership problems need a human in the room."

25 years · Digital transformation · Data & analytics · Executive leadership · Change

Credentials

PROSCI Change Management Practitioner

LEGO® Serious Play® Systems Facilitator

Tableau Data Scientist

Professional Scrum Master II

Graduate Diploma, Data Science · IIIT Bangalore

Certificate, Business Analytics · University of Cambridge

I have spent 25 years watching organizations collect more data than they know what to do with. The pattern is always the same, across industries and continents: data infrastructure without data leadership.

Dashboards get built. Reports get distributed. Decisions still happen on gut feel, because nobody in the room has the credibility to say what the data actually means.

That is what I do. Not as a consultant who recommends and disappears, but as a senior partner who works alongside your leadership team, month after month, until data is actually how your business thinks.

I work with a small number of mid-market companies at a time. Engagements are private and built around your specific situation, not a pre-packaged solution. If this sounds like what you've been missing, I'd like to talk.

Your business runs on data. Does your leadership team run on decisions?

Start with the problem. Scale only if the problem calls for it.

Start with a 30-minute Fit Call. Decide after we talk.

Talk through the problem

Run the 1.5-hour review

Does any of this sound like your company?

One method. Every client's problem is different.

What this work actually delivers

Ganesh

Have a data problem you're tired of explaining?