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Industry overview

Alternative Data for Management Consulting

Consulting engagements are judged on the depth and credibility of the data behind the recommendation. Secondary research, expert calls, and proprietary databases are table stakes.

2-3 weekstypical custom data build time internally
40-60%of engagements that could use alternative data
1-3 dayspilot delivery timeline

Built for engagement timelines

Research needs on a consulting engagement do not fit into a product catalog. A retail strategy needs competitor pricing across 20 cities.

Custom per project, not catalog

We operate the custom extraction layer consulting teams need on every engagement that touches digital retail, travel, telecom, healthcare, or consumer behavior. You describe the question, the sources, and the format.

Synthesis time, not scraper time

This is how consulting moves from secondary-data-plus-interviews to alternative-data-plus-interviews. Every engagement is custom. The extraction infrastructure is not.

Built for firms like these

Deloitte
EY-Parthenon
KPMG
Accenture
L.E.K. Consulting
OC&C Strategy
Roland Berger
McKinsey
BCG
Bain
Kearney
Oliver Wyman
ZS Associates
Deloitte
EY-Parthenon
KPMG
Accenture
L.E.K. Consulting
OC&C Strategy
Roland Berger
McKinsey
BCG
Bain
Kearney
Oliver Wyman
ZS Associates
Key insight

On a recent engagement, a custom feed covering competitor pricing, assortment, and delivery across 12 cities shipped in four days, replacing two weeks of associate-level manual work. The client deck referenced live category share refreshed the morning of the steering committee. That is the difference alternative data makes when it is available on consulting timelines.

Use cases

Data extraction use cases

Every function in a management consulting company benefits from knowing what competitors are doing. From pricing teams to category managers to operations leads, here are the ways competitive data drives decisions.

Competitor pricing across SKUs, cities, channels

Pull competitor SKU prices across geographies, retailers, channels, and refresh windows for the duration of the engagement. One-shot snapshot or weekly feed. Scoped to the engagement, not a long-term subscription.

Full category map

Every SKU, every player, every channel. The full picture of a category on one sheet. The foundation slide behind most strategy and DD decks. Pre-build a category-map library so any partner can ask what is in pet-food now.

Bottom-up market sizing

Replace "top-down research says the market is $2.4B" with "we counted 47,000 live SKUs at an average price of X across 12 cities." Defensible numbers built from the ground up. Used where no reliable top-down source exists.

Commercial due diligence data packs

The complete CDD pack delivered in days. Pricing position, share-of-search, review sentiment, hiring signals, geographic footprint validation. Every CDD asks the same four questions. We deliver the whole pack pre-structured.

Customer reviews and sentiment at scale

Focus-group quotes do not scale. 200,000 reviews classified by theme do. Move from "customers say they like it" to "37 percent of complaints in the last 90 days are about shipping." Ingredient-level sentiment, complaint themes, theme drift over time.

Geographic expansion data

Before recommending a new country, see what is actually on sale there, not what an expert interview says is on sale there. Competitor presence, pricing, and delivery windows across any geography you need, scoped to the engagement.

Hiring and talent signals

Job posts are one of the few public signals of what a company is actually doing, not what they told analysts. Tagged by role, geography, and time. Independent of what the target's management deck claims.

Supplier pricing and commodity signals

The cost-side equivalent of competitor pricing. B2B portals, commodity exchanges, public benchmarks pulled at the cadence the engagement needs. Used wherever margin or procurement is the question.

Corporate and regulatory filings

Public records exist but are trapped in bad search interfaces and 200 different portals. Extracted at scale, structured, so your team is not clicking through registries for a week. Corporate registries, regulatory filings, licensing data.

Traffic, ranking, and digital-footprint signals

When a company claims growth, their app rank, search position, and site footprint either back it up or contradict it. Independent proof for DD or strategy readouts. Cross-check reported growth with public market signals.

Engagement-scoped custom pipelines

No two engagements need the same data. Stand up a custom pipeline on Monday for Friday's steering committee, run it through the project, shut it down at close. Pay only for what you used. No standing contracts.

Through-engagement data freshness

Your Week 1 working session and your Week 10 final deliverable reference the same live source, refreshed continuously. Steering committees read numbers from this morning, not last quarter. Closing meeting references reviews from the previous week.

These are the most common use cases. Every engagement is scoped to your specific needs. If you have a use case not listed here, we will build it.

Data landscape

The data we extract

Every management consulting engagement is custom. Here are the standard data categories we deliver across projects, each scoped to the specific research question, sources, and output format your engagement needs.

Field
Sample value
Competitor prices
1,840 SKUs, 5 brands
Discount patterns
Brand A: 18% avg, weekly
Promotional depth
Brand B: 32% peak
Price elasticity signals
+0.6 elasticity (Q2)
Channel-specific pricing
Amazon vs Flipkart: ₹40
Geographic price variation
₹240-₹290 across 8 cities
Historical price trajectories
12-month series

This is a representative sample of the data we extract. We customize every extraction to your exact requirements. If you need a data point not listed here, we will add it to your pipeline.

Delivery formats

You tell us how you want the data. We handle everything else.

CSV

Daily or hourly drops

Scheduled flat-file delivery. Clean, deduplicated rows with the columns you define.

{}
{}

JSON

Nested or flat schema

Structured JSON files for direct ingestion into your data pipeline or analytics tools.

API

Real-time access

REST API with real-time access to the latest extracted data. Webhook support included.

Direct warehouse

Zero-touch delivery

We push directly to your Snowflake, BigQuery, Redshift, or S3 bucket. Zero manual steps.

Custom setup

Talk to us

Need a different format, frequency, or integration? We build it for you at no extra cost.

Impact

Why competitive data matters

The difference between having competitive intelligence and operating without it is measurable in revenue, market share, and speed.

With competitive intelligence

What you gain

Commission custom data during the proposal stage and deliver pilots inside the engagement timeline.
Recover associate and analyst hours that would otherwise be spent building scrapers and QA-ing data manually.
Carry alternative data into final deliverables so recommendations are backed by data the client's team cannot produce internally.
Refresh data through the engagement so working sessions and steering committees reference the live market.
Support strategy, due diligence, market sizing, pricing, growth, and operations engagements from a single vendor.
Work confidentially under NDA. Customer and engagement details are never displayed or referenced elsewhere.
Real-time advantage

Without it

What you risk

Consulting teams burn associate weeks building scrapers that break before the engagement ends.
Final deliverables carry secondary data the client could have generated themselves, diluting the premium your firm charges.
Proposals hesitate to promise alternative data because no internal infrastructure can reliably deliver it on engagement timelines.
Due diligence recommendations rely on management decks and expert interviews rather than live market signals.
Market sizing projects default to top-down estimates because bottom-up extraction is too time-consuming.
Pricing, growth, and operations engagements make recommendations against assumptions rather than measured competitor activity.
Blind spots compound

Challenges

Why management consulting data extraction is hard

If extraction were easy, you would do it yourself. Here is why it is not.

01

Engagement-scale timelines

Consulting engagements move on week-scale milestones. Data vendors that take two to four weeks to scope and build are not usable inside an active engagement. Supporting consulting workflows requires infrastructure that scopes, builds, and delivers pilots in days, not quarters.

02

Custom-per-engagement scope

No two consulting projects need the same data. A reusable SaaS product does not fit. The right infrastructure is a custom pipeline factory. Tooling that makes it fast to spin up a new extraction per engagement, run it cleanly, and shut it down when the project ends.

03

Anti-bot defenses across every vertical

Consulting engagements span e-commerce, travel, telecom, healthcare, financial services, and more. Each vertical has its own anti-bot posture. Supporting all of them requires infrastructure and engineering depth across every major web-extraction surface, not specialization in one vertical.

04

Data quality expectations are high

Data in consulting deliverables goes in front of senior client stakeholders. Quality, completeness, and methodology documentation need to withstand scrutiny. Supporting consulting-grade output requires structured QA, deduplication, and metadata that most scraping-vendor output does not carry.

05

Confidentiality under NDA

Consulting firms work under strict confidentiality. Data vendors must operate without disclosing customer names, engagement details, or client identities to anyone, internally or externally. Most public-facing logo walls are disqualifying for consulting engagements.

06

Geographic and language breadth

A global engagement may need data from marketplaces in 15 countries across 10 languages. Supporting this requires globally distributed extraction infrastructure with native-language handling, not just English-only coverage.

07

Output-format diversity

Different engagements consume data in different ways. Excel sheets, CSV feeds, direct warehouse pushes, live APIs. Supporting consulting workflows requires flexibility in delivery format, not a one-format-for-all vendor stance.

Why us

Why Clymin for management consulting

We are not a tool. We are the team you call when the data matters too much to get wrong.

We solve what others can't

Consulting-grade alternative data needs speed, customization, breadth, and output flexibility that generic scraping vendors do not provide. We handle all of it, at the quality and confidentiality consulting engagements demand.

You pay only for data delivered

No setup fees, no customization charges, no platform fees. One metric: cost per record. If we do not deliver, you do not pay. Your cost scales with your actual engagement data consumption, nothing else.

We protect your identity

We do not display customer logos or names anywhere. Consulting confidentiality is absolute. Your firm, your clients, and your engagement details are never disclosed. That is a promise, not a policy.

We prove it before you pay

No pitch deck replaces real output. We offer a free pilot: your research question, your sources, your data requirements, our execution. You evaluate the quality, coverage, and freshness of the data, then decide.

100B+

Data points extracted

24/7

Pipeline uptime

Real-time

Data delivery

100K+

Points of interest covered

Proven at enterprise scale. We operate continuous competitive intelligence infrastructure for one of the world's largest quick commerce platforms.

See what alternative data looks like for your next engagement

Free pilot. 1-3 day turnaround. Your research question, your sources, our execution.

FAQ

Management Consulting data extraction FAQ

We start with a 30-minute scoping call. You describe the research question, the sources, the geographies, the output format, and the engagement timeline. We scope the extraction, confirm feasibility, and begin pilot delivery within 1-3 days. No long procurement cycle, no multi-week discovery.

Yes. Engagement-timeline delivery is why consulting firms use us. Pilots arrive in 1-3 days. Production feeds are live within a week. Data refreshes through the engagement. When the project closes, the pipeline shuts down. No contracts that outlast the engagement.

Yes. Every engagement operates under NDA. Customer names, engagement details, and client identities are never disclosed to anyone, internally or externally. We do not display customer logos anywhere.

We cover every major vertical consulting firms work in: retail (e-commerce, quick commerce, marketplaces, D2C), travel (OTAs, airlines, hotels), consumer goods (FMCG, electronics, beauty), financial services, telecom, healthcare, industrials, real estate, and more. If your engagement needs data from a digital source, we likely cover it or can build the pipeline as part of your pilot.

We deliver in CSV, JSON, Excel, via API, or directly into your warehouse. We match the format your engagement team actually works in. If you need Excel files delivered daily to a SharePoint folder, we do that. If you need a live API feeding your dashboard, we do that too.

You share the engagement research question and sources. We build the extraction pipeline, run it for 1-3 days, and deliver structured sample data in your preferred format. You evaluate quality and coverage, then decide whether to proceed to production. No payment, no commitment.

Yes. Our extraction infrastructure is globally distributed and language-aware. Pilots covering 10+ geographies and multiple languages are routine. We handle translation and normalization where the engagement needs it.

We charge per record delivered. One record is one structured row of data with the columns you define. Zero setup fees. Zero customization charges. Zero platform fees. You pay only for data we successfully deliver, scoped to the engagement. When the engagement closes, billing stops.