B2B Data & Dashboards Agency

Reliable numbers to steer not visual fluff.

Uclic is a B2B data agency: we build the dashboards and metrics that tell the truth about your business. Data reconciled across your tools, KPIs defined with you, dashboards an executive can read without a manual. To steer on reliable numbers.

5-10 actionable dashboards delivered12+ sources synced on average6-10 wks for a full stack, from ELT to reverse ETL
ANSSI
Santévet
Gusella Bakker
Le Monde
Agicap
CodinGame
Deepki
12 Data sub-services

12 sub-services to go from manually entered figures to an executable dashboard.

From source audits to reverse ETL, each sub-service can be activated on its own or packaged into the full Stack plan. Tools named explicitly: Airbyte, Fivetran, BigQuery, Postgres, ClickHouse, dbt, Metabase, Looker Studio, Cube, Census, Hightouch.

What we do differently in data & dashboards

Why a Uclic data stack rather than anywhere else?

The dashboards of 2026 are no longer Google Sheets recopied every Monday, nor Looker Studio plugged directly into HubSpot. Sources have multiplied, metrics need to reconcile, and the exec team wants to decide on one number: not three.

Drag to see the difference

Sarah B.
Sarah B.
Head of Marketing
7 yrs exp · solo · multi-hats
Thomas L.
Thomas L.
Founder · CEO
Has to make every marketing call
zero communication between them
Rémi P.
Rémi P.
Media Buyer
Mid · 3 yrs
Meta agency
Meta Ads
Lina D.
Lina D.
Junior Creative
Final-year intern
Meta agency
Meta Creative
Julien M.
Julien M.
SEO Consultant
Senior · 8 yrs
SEO agency
Google Search
Camille B.
Camille B.
Content Writer
Mid · 4 yrs
SEO agency
WordPress
Marc O.
Marc O.
Freelance SDR
Senior · solo
Freelancer
Lemlist
Léa M.
Léa M.
Email Lifecycle
Mid · 5 yrs
Freelancer
Brevo
Alex K.
Alex K.
Data Analyst
Senior · 2 days/mo
Freelancer
GA4 + Excel
Zapier AI Agent
Hallucinates leads
Broken · fails 2×/week
DIY internal
Fragile Zapier
4 calls/week12h coordination/weekzero big-picture view
Wladimir Delcros
Wladimir Delcros
Expert Growth Marketing
Ex-Head of Growth · Codingame & Muzzo
Alexis Christine-Amara
Alexis Christine-Amara
Expert Business Development
Ex-Head of Sales · CodinGame · Cofounder
They actually talk to each other
360° view1 leadAI agents in production
The classic data stack
Data & Dashboards Uclic 2026
The method

Audit, architecture, team, execution. A proven 90-day framework.

Four steps: understand where you stand, install the right stack, put the team in place, then run your numbers. Nothing is improvised.

Data audit·Sources · quality · gaps
8 sources · 142 tables
ChannelStatusMarketYouOpportunity
HubSpotfresh 1hfresh 1hOK
Stripefresh 6hfresh 24h1h to fix
Postgreslineage traced0% traceddbt + tests
GA4 exportBigQuery dailynot set upset up BQ
Mixpaneltyped eventsfree-form eventsplan tracking
8 sources · gap: warehouse + dbt missingexec deliverable
Channel architecture·Martech stack
validated mix
Selected channelsvalidated mix
IngestionModelingVisualizationActivationReverse ETL
Integrated stack
Data warehouse
BigQuery
Snowflake
Postgres
ELT / ingestion
Fivetran
Airbyte
Stitch
Modeling
dbt
SQLMesh
Dataform
BI / Dashboards
Looker Studio
Metabase
Superset
Centralized data governance · unified dashboardlive
Data pipeline·sources → transform → activation
freshness 12 min
sources
HubSpot
CRM · contacts
142k
Stripe
Payments
38k
PostgreSQL
app prod
1.2M
transform
Airbyte
EL · raw
1.4M / day
BigQuery
warehouse
120 tables
dbt
38 models · test
142 tests
activation
Looker
dashboards
24 dashboards
Hightouch
reverse ETL
6 syncs
Recent runs · every 1h
08:42dbt run · marts.lead12 384 rows
08:31airbyte · hubspot142 921 rows
08:15reverse-etl · sf8 412 rows
dbt tests · alerting · lineage traced3+3+2 stages
agent.ts·uclic / growth-stack
main
outbound.tsschema.sqlTS
explorer
agents/
outbound.ts
scoring.ts
tracker.tsx
schema.sql
package.json
README.md
1// AI agent | outbound orchestrator
2import { Anthropic } from "@anthropic-ai/sdk";
3import { scoreLead } from "./scoring";
4
5export async function runOutbound(leads: Lead[]) {
6 const client = new Anthropic();
7 const scored = await Promise.all(
8 leads.map(l => scoreLead(l))
9 );
10 const top = scored.filter(s => s.score > 0.7);
11 // Generate personalized messages
12 return top.map(l => buildMessage(l));
13}
14
15// Cron: 06:00 UTC daily
16schedule("0 6 * * *", runOutbound);
no errorsmainUTF-8TypeScript
Versioned code · mandatory review · passing CIship weekly
Actionable dashboards·Live BI · business KPIs
live
Active datasets
42+12
Dashboards
18+6
Active users
126+38%
Refresh rate
5 min-30 min
12-month traffic+660%
BigQuery + dbt synced 4 min agoauto-refresh
Sync 2-way·bi-directionnel · conflict-aware
3 entités
source A
HubSpot
CRM marketing
hub canonical
Postgres + Inngest
conflict resolver
source B
Salesforce
CRM sales
Conflict resolution · last 24h
EntitéMasterReadsWritesConf.
Contactmaster A1 2404123
Companymaster B8201980
Dealrule métier340921
Last-write-wins ou règle métier · DLQ replay manuellive
BI handover·10 criteria before transfer
6/10
60% passed0 in progress · 4 to do
Alerting freshness > 1hOK
Alerting volume drop > 20%OK
dbt tests on critical tables142 tests
Lineage traced end-to-endOK
Data dictionary documented80%
BigQuery cost monitoring<on quote
Roles + IAM permissionsOK
Backup + DR planpending
Data team training2/4
6 / 10 items passed | 6/10 validated: training to be finalizedready
Benchmark12 mois roadmap
Step 01 / 07Data audit & source mapping
  1. W11 week
    1 week· Step 1

    We start from a complete inventory: HubSpot, Pipedrive, Stripe, GA4, Mixpanel, product data, Notion, Airtable. We map the duplicates (the same metric calculated three times with three different results) and the gaps (retention that nobody calculates). We validate the priority business questions with the executive committee: blended CAC, LTV by channel, NRR by cohort. If the main question has no clear answer today, that's where we start.

    • Inventory of 12-25 sources
    • Mapping of duplicates and gaps
    • Validation of exec committee questions
    • Prioritized data roadmap
    Deliverable· Data mapping + costed 6-10 week roadmap
  2. 02
  3. 03
  4. 04
  5. 05
  6. 06
  7. 07
Pricing

B2B data & dashboards agency pricing: quote-based audit · quote-based build · quote-based stack.

Three transparent entry points. A data audit to frame the roadmap, a dashboard build to ship the essentials in 4-6 weeks, or a complete turnkey stack with dbt and reverse ETL in 6-10 weeks. No hidden subscription to a cloud vendor — you keep full ownership.

Diagnostic

Audit

No commitment
0€

We review your 3 pillars (Inbound, Outbound, AI & Dev) and deliver a costed set of recommendations.

  • Inbound, Outbound, AI & Dev auditAnalysis of your acquisition channels (SEO, Ads, Content), your outbound prospecting and your AI/automation stack.
  • Score across the 3 pillarsA /100 score per pillar: Inbound (demand capture), Outbound (prospecting) and AI & Dev (industrialization).
  • High-impact quick wins
  • Costed, prioritized roadmap
Get my diagnostic
Scoping

Data audit

from
Custom quote

Complete audit of your sources, existing models, and dashboards in place. Identification of duplicates, gaps, and priorities. A costed roadmap to decide what comes next.

  • Mapping of 12-25 sourcesInventory of HubSpot, Pipedrive, Stripe, GA4, Mixpanel, PostHog, Notion, Airtable, and product data. Identification of missing connectors and duplicate data.
  • Audit of existing dashboardsReview of the Google Sheets, Looker Studio, Metabase, and Tableau setups in place. Identification of metrics calculated multiple times with divergent definitions.
  • Validation of business questions90-minute workshop with the exec team to frame the 5 to 10 priority questions (blended CAC, NRR, LTV by channel, multi-touch attribution).
  • Stack recommendationInformed recommendation on warehouse (BigQuery vs Postgres vs ClickHouse), ELT (Airbyte vs Fivetran), and BI (Metabase vs Looker Studio vs Cube), based on volume and budget.
  • Costed data roadmap, 6-10 weeks
Start with Data audit
Most pickedHands-on

Dashboard build

from
Custom quote

Essential data stack delivered turnkey in 4-6 weeks: ELT + warehouse + 3 to 5 Looker Studio or Metabase dashboards, plus team training.

  • Data audit includedSource mapping and validation of business questions with the exec team, included in the plan.
  • ELT with 5-8 sources connectedAirbyte or Fivetran connecting HubSpot, Stripe, GA4, Mixpanel/PostHog, and 1-2 specific sources. Incremental sync, Slack alerting.
  • Warehouse provisionedBigQuery (free sandbox, 1 TB/month) or Postgres on Supabase / Neon depending on volume. Typed schemas, team access configured.
  • 3 to 5 executive dashboardsAcquisition (CAC, channel attribution), pipeline (MQL → Win funnel, velocity), retention (cohorts, NRR), finance (ARR, MRR). Business metrics documented.
  • Internal team training2 sessions of 2 hours on Metabase/Looker Studio + access to versioned documentation. The team can build its own dashboards.
  • Full handover, 100% ownership
Start with Dashboard build
Turnkey

Complete stack

from
Custom quote

Complete, industrial-grade data stack in 6-10 weeks: ELT, warehouse, versioned dbt, 5 to 10 dashboards, alerting, and reverse ETL to activate your data in HubSpot/Intercom/Salesforce.

  • Audit + dashboard build includedEverything in the Build plan, plus the dbt layer and reverse ETL to go industrial.
  • Industrialized ELT across 12+ sourcesAirbyte or Fivetran connecting your entire toolset: CRM, payments, analytics, product, support, calls. CDC, incremental sync, monitoring.
  • Git-versioned dbt modelingStaging / intermediate / marts layers. Automated tests (unique, not_null, relationships). Auto-generated documentation via dbt docs. CI/CD on pull requests.
  • 5 to 10 dashboards per functionAcquisition, pipeline, retention, finance, product. Every dashboard answers an operational question — no vanity KPIs.
  • Reverse ETL with Census/Hightouch3 to 5 syncs from warehouse → operational tools. Lead scoring, churn-risk segments, enriched account properties in HubSpot/Salesforce/Intercom.
  • Slack alerting & ops handoverAlerts on MRR drops, acquisition anomalies, and conversion drops. Training for your in-house data or ops team. Fully versioned documentation.
  • 6 to 10 weeks, 100% ownership
Start with Complete stack

See the detail of all our plans or find out who we are.

Case studies

SMEs, mid-market and B2B SaaS scale-ups | every case comes with raw numbers, real context and what we actually did.

They follow our work

Growth and automation expertise followed by B2B leaders.

Founders, executives and growth leads publicly react to our analysis and methods on LinkedIn. Each card opens the original conversation.

Interesting. Personally, I did the opposite in a way. That said, I always keep the code to create APIs that will be used by n8n. So in the end it's a mix of both. I also think it depends on what you want to do in the long term. On the other hand, one thing is certain: if you want total flexibility, knowing how to code is important. (I include vibe coding)
Thomas G.
Thomas G.
Automation & AI Agent
Completely agree ! The era of "just good enough" is over. In a saturated market, it's essential to stand out from day one. An MVP certainly needs to be viable and minimal, but that doesn't mean it has to be a stripped-down version of the final vision. Investing in a quality user experience from the start can significantly accelerate acquisition
Romain A.
Romain A.
Digital Marketing Project Manager
incredible, I just gave it a directory with hundreds of software I want to scrape (across about ten pages in total). Fully autonomously, it retrieved everything and ran a google search for each software to find the url of the LinkedIn company page. All of that with just 1 single 3-line prompt and zero errors! Thanks for the reco!
Simon B.
Simon B.
Sales
I've been in the biz for 20+ years. Code was always the missing piece for me as an SEO. But I've got some solid knowledge. That said, vibe coding opened up other doors for me — just huge ones. Today I've gotten into React, Vite, Node, Python, and I code whatever I need. 😍
Cyril G.
Cyril G.
SEO Consultant for PROs (since 2004)
Incredible! AI is truly becoming an accelerator for automating web tasks, freeing up time and daring to take on new projects. For anyone interested in dropshipping, automation and e-commerce, it's a real revolution.
Nicolas D.
Nicolas D.
Senior SEO & Founder @ Athlé Expliqué
Thank you for this very informative share. It's impressive to see the growing number of developers and how dominant young people are in this sector. It really shows how essential technology and development are for our future.
Géraud L.
Géraud L.
AI Entrepreneur & Personal Coach for Founders and Leaders
Interesting! This paves the way for the future (potentially huge) market of AI SEO. Companies and people who position themselves on it quickly and effectively will have a definite competitive advantage over the others.
Maxime H.
Maxime H.
I turn your innovation and entrepreneurship programs into concrete success
I love this kind of hack Wladimir 🙏🏻 Do you have any hacks on the student email part? I was thinking of buying a .school domain name, making a mini landing page for a fake school, generating an email. Because .edu is out of reach 😅
Victor D.
Victor D.
🧿 Head of Growth @Poiscaille (​>14M€/ARR)
Great, thanks for the tip! I just tested it and it's Veo 2 that's offered in the student plan on the US site (which is indeed free for 12 months). That said, there is indeed access to Veo 3 (in a limited version) :)
Anais S.
Anais S.
Digital Growth Expert ⚙️ SEO + CRM + Automation
This kind of tool truly changes the game by automating complex tasks with incredible simplicity. A new era is setting in where AI becomes a truly ultra-efficient personal assistant
Matthieu S.
Matthieu S.
CEO Mindsales - I generate 8 to 33 meetings/month for you - 📩 DM me “Setter” to lea
Interesting. Personally, I did the opposite in a way. That said, I always keep the code to create APIs that will be used by n8n. So in the end it's a mix of both. I also think it depends on what you want to do in the long term. On the other hand, one thing is certain: if you want total flexibility, knowing how to code is important. (I include vibe coding)
Thomas G.
Thomas G.
Automation & AI Agent
Completely agree ! The era of "just good enough" is over. In a saturated market, it's essential to stand out from day one. An MVP certainly needs to be viable and minimal, but that doesn't mean it has to be a stripped-down version of the final vision. Investing in a quality user experience from the start can significantly accelerate acquisition
Romain A.
Romain A.
Digital Marketing Project Manager
incredible, I just gave it a directory with hundreds of software I want to scrape (across about ten pages in total). Fully autonomously, it retrieved everything and ran a google search for each software to find the url of the LinkedIn company page. All of that with just 1 single 3-line prompt and zero errors! Thanks for the reco!
Simon B.
Simon B.
Sales
I've been in the biz for 20+ years. Code was always the missing piece for me as an SEO. But I've got some solid knowledge. That said, vibe coding opened up other doors for me — just huge ones. Today I've gotten into React, Vite, Node, Python, and I code whatever I need. 😍
Cyril G.
Cyril G.
SEO Consultant for PROs (since 2004)
Incredible! AI is truly becoming an accelerator for automating web tasks, freeing up time and daring to take on new projects. For anyone interested in dropshipping, automation and e-commerce, it's a real revolution.
Nicolas D.
Nicolas D.
Senior SEO & Founder @ Athlé Expliqué
Thank you for this very informative share. It's impressive to see the growing number of developers and how dominant young people are in this sector. It really shows how essential technology and development are for our future.
Géraud L.
Géraud L.
AI Entrepreneur & Personal Coach for Founders and Leaders
Interesting! This paves the way for the future (potentially huge) market of AI SEO. Companies and people who position themselves on it quickly and effectively will have a definite competitive advantage over the others.
Maxime H.
Maxime H.
I turn your innovation and entrepreneurship programs into concrete success
I love this kind of hack Wladimir 🙏🏻 Do you have any hacks on the student email part? I was thinking of buying a .school domain name, making a mini landing page for a fake school, generating an email. Because .edu is out of reach 😅
Victor D.
Victor D.
🧿 Head of Growth @Poiscaille (​>14M€/ARR)
Great, thanks for the tip! I just tested it and it's Veo 2 that's offered in the student plan on the US site (which is indeed free for 12 months). That said, there is indeed access to Veo 3 (in a limited version) :)
Anais S.
Anais S.
Digital Growth Expert ⚙️ SEO + CRM + Automation
This kind of tool truly changes the game by automating complex tasks with incredible simplicity. A new era is setting in where AI becomes a truly ultra-efficient personal assistant
Matthieu S.
Matthieu S.
CEO Mindsales - I generate 8 to 33 meetings/month for you - 📩 DM me “Setter” to lea
4 years, still number 1 in the rankings despite all the bosses who came after you. Delcros will remain the undisputed master and pioneer, always one step ahead of the market. 👏
Alexandre B.
Alexandre B.
B2B SaaS Messaging
Finally an interesting take. N8N is great for understanding a workflow, it's very graphic, very visual, but if you want to do slightly more elaborate stuff, code is way better.
Christophe R.
Christophe R.
Web developer // nextjs :: node :: adonis :: astrojs :: directus and more...
While everyone fights to master algos they only half understand, other channels remain wide open. And strangely enough, no one seems interested in them.
Fatou G.
Fatou G.
We SCALE your business thanks to a MultiChannel client acquisition strategy and u
I really like this thinking. No-code has its uses for testing or moving fast, but it's true that code lets you take things to the next level. Thanks for sharing 🙌
Federica I.
Federica I.
Full-Stack Developer
Interesting to see this shift from no-code to code. Your thinking makes it clear that the tool matters less than the end goal: automating, optimizing, generating value.
Yohann G.
Yohann G.
🎯 Head of Development & Admissions
A recent study revealed that 75% of employees are passive candidates. Your approach seems in line with this reality.
Tinwai F.
Tinwai F.
CMO
Absolutely agree, recruitment is an art, it requires a genuine understanding of candidates' aspirations.
Christian F.
Christian F.
We boost the Marketing & Sales performance of your B2B company 👉 Scalezia.co
Indeed, we shouldn't confuse the two, thanks for shedding light on the differences Wladimir Delcros 😁
Alexandre S.
Alexandre S.
CEO at Twaino
I completely agree, the value is intrinsic. If you don't see it, no one else will.
Alex H.
Alex H.
Ex-CEO & Head of Sales & Growth - MaaS, Smart City & Mobility data Pioneer
So true. Clients who truly appreciate you will be willing to pay what you're worth.
Marion F.
Marion F.
Business Developer
4 years, still number 1 in the rankings despite all the bosses who came after you. Delcros will remain the undisputed master and pioneer, always one step ahead of the market. 👏
Alexandre B.
Alexandre B.
B2B SaaS Messaging
Finally an interesting take. N8N is great for understanding a workflow, it's very graphic, very visual, but if you want to do slightly more elaborate stuff, code is way better.
Christophe R.
Christophe R.
Web developer // nextjs :: node :: adonis :: astrojs :: directus and more...
While everyone fights to master algos they only half understand, other channels remain wide open. And strangely enough, no one seems interested in them.
Fatou G.
Fatou G.
We SCALE your business thanks to a MultiChannel client acquisition strategy and u
I really like this thinking. No-code has its uses for testing or moving fast, but it's true that code lets you take things to the next level. Thanks for sharing 🙌
Federica I.
Federica I.
Full-Stack Developer
Interesting to see this shift from no-code to code. Your thinking makes it clear that the tool matters less than the end goal: automating, optimizing, generating value.
Yohann G.
Yohann G.
🎯 Head of Development & Admissions
A recent study revealed that 75% of employees are passive candidates. Your approach seems in line with this reality.
Tinwai F.
Tinwai F.
CMO
Absolutely agree, recruitment is an art, it requires a genuine understanding of candidates' aspirations.
Christian F.
Christian F.
We boost the Marketing & Sales performance of your B2B company 👉 Scalezia.co
Indeed, we shouldn't confuse the two, thanks for shedding light on the differences Wladimir Delcros 😁
Alexandre S.
Alexandre S.
CEO at Twaino
I completely agree, the value is intrinsic. If you don't see it, no one else will.
Alex H.
Alex H.
Ex-CEO & Head of Sales & Growth - MaaS, Smart City & Mobility data Pioneer
So true. Clients who truly appreciate you will be willing to pay what you're worth.
Marion F.
Marion F.
Business Developer
Present across France

Our B2B data & dashboards agency works with clients across France

100% remote-first with weekly video meetings: we serve B2B SMEs, mid-market companies and scale-ups in Paris, Lyon, Bordeaux, Marseille, Lille, Nantes, Toulouse, Strasbourg, and beyond (Geneva, Brussels).

FAQ

B2B data & dashboards agency FAQ: stack, tools, modeling, pricing

Everything to know before starting a data engagement with Uclic: BigQuery vs Postgres, Metabase vs Looker Studio, dbt modeling, reverse ETL, project pricing and 6-10 week timelines.

What makes a good KPI dashboard?
A good KPI dashboard answers a CEO's questions at a glance: where the business stands, what's drifting, where to act. That requires data reconciled across tools (CRM, billing, marketing), precisely defined metrics, and automatic updates. At Uclic, every dashboard is connected to your real data sources and delivered with its own documentation: no more debating the numbers in management meetings.
BigQuery vs Postgres: which one for 50 GB of data?
At 50 GB, both work very well and the choice depends on context. Postgres (Supabase, Neon, RDS) is unbeatable if you already run an application-level Postgres, if you need transactional workloads, or if you want to minimize cost (a $25/month Supabase Pro plan is enough up to 100 GB). BigQuery becomes relevant beyond 100 GB, if you need elastic scaling, or if your main source is GA4 (free native export). The BigQuery sandbox is free up to 1 TB of queries/month: more than enough to get started. Our recommendation: Postgres if < 50 GB with transactional needs, BigQuery if > 100 GB or heavy GA4 volume. ClickHouse only for high-volume analytics (product events > 1 billion rows).
Client-side or warehouse-side dashboards?
Warehouse-side, no hesitation. A client-side dashboard (Looker Studio connected directly to Google Sheets, Metabase on HubSpot via native connector) crashes beyond 50,000 rows, breaks with every schema change on the vendor side, and forces you to repeat every metric calculation in every chart: hence three different definitions of the same MQL → SQL conversion rate. The warehouse + dbt layer solves this: every metric defined once in Git, automatically tested, exposed to multiple BI tools at once. The initial overhead (1 to 2 weeks of modeling) pays for itself within 3 months in avoided maintenance.
Looker Studio is free, so why pay for Metabase?
A false dilemma. Looker Studio is free but limited: degraded performance beyond 100k rows, complicated granular sharing, no clean embedding, Google ecosystem lock-in. Metabase Open Source is also free self-hosted (Docker, < on quote on DigitalOcean), with much better performance, group-based sharing, signed embedding, and native SQL for power users. Metabase Cloud Pro ($85/month for 5 users) adds SSO, alerting, and fine-grained permissions. Our rule: Looker Studio if you're on the Google ecosystem with basic business users, Metabase if self-hosted or if you need SQL and granular sharing, Cube.dev for product embedding. No vendor is better in absolute terms.
How many synced sources, and at what frequency?
An average B2B SME has 12 to 25. Priority sources (included in the build): HubSpot/Pipedrive/Salesforce (CRM, hourly sync), Stripe (payments, hourly sync), GA4 (analytics, daily sync via native BigQuery export), Mixpanel or PostHog (product events, daily sync), Intercom or Zendesk (support, hourly sync), Aircall (calls, daily sync). Secondary sources (depending on usage): Notion, Airtable, Google Ads, Meta Ads, LinkedIn Ads, internal product database. Frequency: hourly for CRM/payments (critical deals), daily for analytics and events (volume), real-time only for in-product embedding (Cube.dev streaming). Incremental CDC sync wherever available: no daily full refresh on 10 million rows.
Do you document the data model (data dictionary)?
Yes, and it's non-negotiable. Every table, every column, every business metric is documented: definition, source, formula, owner, last updated. The docs are auto-generated via dbt docs from YAML files versioned in Git, and deployed internally (often on a subdomain like docs-data.votreboite.com). When a sales rep asks "what exactly is NRR in this dashboard?", they get the answer in 3 clicks: no need to open a Slack thread. This documentation is the real barrier against the data mess that sets in within 12 months if nobody writes it down. Versioned in your Git, it remains entirely your property.
Why do you avoid Snowflake?
Not dogma: relevance. Snowflake is technically excellent and unavoidable beyond 5 TB or in multi-cloud setups. But for 90% of B2B SMEs and mid-market companies (volume < 500 GB), it's overkill and expensive: credit-based billing that's hard to predict, a high monthly minimum cost, and governance complexity that requires a full-time data engineer. Postgres or BigQuery are enough at 5 to 10 times lower cost, with an identical developer experience on the dbt side. We use Snowflake when the client has already invested in it, or when volume + multi-cloud justify it: never by default.
How much does a Uclic data stack cost?
Three entry points, all transparent: Data audit (quote-based) (source mapping, audit of existing dashboards, costed roadmap). Dashboard build (quote-based) (audit + ELT for 5-8 sources + warehouse + 3-5 Looker Studio/Metabase dashboards + training, delivered in 4-6 weeks). Full stack (quote-based) (build + versioned dbt + 5-10 dashboards + Census/Hightouch reverse ETL + Slack alerting + handover, delivered in 6-10 weeks). For continuous production after the build, switch to a Modular Stack plan, 2,000 to quote-based (data ops over 6 months). No hidden subscription to a cloud vendor: you keep full ownership of the stack, the dbt models and the dashboards.
How long before you have dashboards in hand?
Standard rollout plan: 1 week for audit and stack scoping, 1 to 2 weeks for ELT and warehouse provisioning, 2 weeks for dbt modeling, 2 weeks for dashboards. For the Dashboard build (quote-based) plan without dbt, plan for 4 to 6 weeks from brief to handover. For the Full stack (quote-based) with dbt and reverse ETL, plan for 6 to 10 weeks depending on the number of sources. First working dashboard usable internally by week 3 in most cases. No magic method: dbt modeling takes time, but it's what separates a stack that scales from a throwaway dashboard rebuilt 6 months later.
Wladimir DelcrosBy Wladimir Delcros, Head of Growth · Updated on July 23, 2026
Last step

You do not need more channels.
You need someone flying the plane.

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