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 — every competitor has them.
Hourly competition
The research needs of a consulting engagement do not fit into a product catalog. A retail strategy project needs competitor pricing across 20 cities.
Operational necessity
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 research question, the sources, and the output format.
Every platform, every city
This is how consulting teams move from secondary-data-plus-interviews into alternative-data-plus-interviews. Every engagement is custom. The extraction infrastructure is not.
On a recent strategy engagement, a custom data feed covering competitor pricing, assortment, and delivery across 12 cities was delivered in four days, replacing what would have been two weeks of associate-level manual work. The client-facing presentation referenced live category share data 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.
Strategy engagements
Custom competitive, pricing, and category data for strategy projects. Delivered on project timelines, structured to feed directly into your analysis frameworks, refreshed through the engagement so your final deliverable uses the same live data as your working sessions.
Due diligence
Alternative data for commercial and tech due diligence. Validate the target's market position, pricing competitiveness, category share, review sentiment, and growth trajectory with live data rather than management decks. Turnaround in days, not weeks.
Market sizing
Bottom-up market sizing based on actual product assortments, prices, and activity across digital channels. Replace top-down estimates and IBISWorld snapshots with structured data from the live market in every category and geography you need.
Pricing and promotion benchmarking
Extract competitor pricing and promotional patterns across categories and cities to feed pricing strategy engagements. Deliver structured benchmarks that the client's internal team could not assemble themselves.
Competitor mapping
Map the full competitive landscape in any category — every player, every SKU, every channel, every price position — for competitor benchmark engagements. Deliver structured comparison datasets that replace qualitative positioning exercises with quantitative facts.
Growth strategy engagements
Custom data on channel performance, pricing sensitivity, review sentiment, and adjacent category opportunities. Feed growth strategy recommendations with data showing what is actually happening in the market, not what the client's internal team believes is happening.
Operations and procurement engagements
Supplier pricing benchmarks, material cost signals, and supply-chain intelligence extracted from B2B and procurement platforms. Feed operations engagements with cost data that sharpens procurement recommendations.
Geographic expansion engagements
Map competitor presence, pricing, delivery, and category depth across target geographies before a client enters a market. Replace assumptions and expert-interview speculation with structured data from the live market in every target country or city.
Regulatory and compliance research
Extract regulatory filings, corporate registrations, and public compliance data at scale for engagements that require deep secondary research. Turn what is typically weeks of manual research into structured datasets delivered in days.
Alternative talent data
Extract job postings, hiring signals, and organizational change data from company sites and job boards. Feed talent strategy and org-design engagements with data on how competitors are actually building their teams, not what they say on earnings calls.
Review and sentiment research
Extract and structure customer reviews across competitors, categories, and channels for engagements where customer sentiment matters. Feed brand, CX, and product strategy work with structured review datasets, not anecdotal quotes from focus groups.
Custom per-engagement pipelines
Every engagement has a unique research question. We scope the pipeline to the specific question, sources, geographies, and output format the engagement needs. Delivered in 1-3 days. Refreshed through the project. Turned off when the engagement closes.
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.
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.
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
Without it
What you risk
Challenges
Why management consulting data extraction is hard
If extraction were easy, you would do it yourself. Here is why it is not.
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.
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.
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.
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.
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.
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.
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.