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B2B data & dashboards agency: BI and data visualization

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.

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5-10 actionable dashboards delivered12+ sources synced on average6-10 wks for a full stack, from ELT to reverse ETL
5,0Google4,3Trustpilot4,96Sortlist
WladimirAlexis
Free growth audit
With Wladimir & Alexis30 minGoogle Meet
  1. 1Time slot
  2. 2Your details
ANSSI
Santévet
Gusella Bakker
Le Monde
Agicap
CodinGame
Deepki
12 Data sub-services

B2B dashboards: from manual data entry to automated reporting

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.

Diagnostic

Full data audit

Inventory of the 12 to 25 sources, mapping of duplicates (same metric calculated three times), identification of gaps (retention not calculated), validation of the 5 to 10 priority COMEX questions. Costed roadmap, 6-10 weeks.

12+sources audited
AuditHubSpotStripeGA4
Alexis Christine-AmaraDedicated expert Alexis Christine-Amara VP Sales
Scoping

Stack selection & provisioning

Deliberate warehouse selection (BigQuery, Postgres Supabase, ClickHouse), ELT (open-source Airbyte vs managed Fivetran), BI (Metabase, Looker Studio, Cube). Provisioning on GCP, AWS or Supabase depending on your existing infrastructure.

1 wk.stack provisioned
BigQueryPostgresAirbyteMetabase
Tuka BadeDedicated expert Tuka Bade Data Expert | Machine Learning, Python & SQL
Ingestion

Source ingestion (ELT)

Connectors for HubSpot, Pipedrive, Stripe, GA4, Mixpanel, PostHog, Aircall, Intercom, and product data. Incremental CDC sync, schema change handling, Slack alerting on failures. Airbyte if self-hosted, Fivetran if managed.

12+sources synced
AirbyteFivetranStitchHevo
Florence BeckelDedicated expert Florence Beckel Directrice artistique - Designer UI/UX & Brand
Warehouse

Central warehouse

BigQuery (volume > 100 GB, elastic scaling, free sandbox), Postgres Supabase or Neon (< 50 GB, transactional), ClickHouse (high-volume analytics). Typed schemas, partitioning, RBAC access configured.

1single source of truth
BigQueryPostgresClickHouseSnowflake
Wladimir DelcrosDedicated expert Wladimir Delcros Head of Growth
Modeling

Versioned dbt modeling

Staging / intermediate / marts layers. Automated tests: unique, not_null, accepted_values, relationships. Auto-generated documentation with dbt docs. CI/CD with GitHub Actions on pull request. Every metric defined exactly once.

100%versioned metrics
dbt Coredbt CloudSQLMeshGit
Mathieu ChenalDedicated expert Mathieu Chenal Expert SEO & GEO
Acquisition

Acquisition dashboard

Acquisition channel, blended and per-channel CAC, multi-touch attribution (first / last / linear / data-driven), lead volume by source, quality by segment. GA4 + HubSpot + Stripe cross-referenced for LTV by channel.

8+channels tracked
GA4HubSpotAttributionCAC
Moussa BallDedicated expert Moussa Ball AI Architect & Full-Stack Engineer
Pipeline

B2B pipeline dashboard

MQL → SQL → meeting → Win funnel, velocity per stage, conversion rate by segment, weighted ARR, quarterly forecast. View by SDR/AE owner, by industry, by deal size. Comparison against monthly/quarterly target.

5+stages tracked
HubSpotPipedriveSalesforceARR
Philippe LacombeDedicated expert Philippe Lacombe Consultant SEA & Google Ads Senior | Google Partner
Retention

Retention & cohorts dashboard

Monthly retention cohorts, Net Revenue Retention (NRR), Gross Revenue Retention (GRR), churn by segment and by cause, expansion vs contraction, time-to-churn. View by plan, by industry, by acquisition cohort.

12+cohorts tracked
CohortsNRRGRRChurn
Valentin GeffroyDedicated expert Valentin Geffroy Webflow Expert Certified | JS, GSAP & CRO
Finance

Finance & SaaS dashboard

ARR, MRR, new/expansion/churn MRR (movements), LTV by segment, CAC payback, burn multiple, magic number. Stripe + HubSpot + accounting reconciliation. Monthly, quarterly and annual views.

15+SaaS metrics
StripeARRMRRLTV
Pierre LafontDedicated expert Pierre Lafont Full-Stack Vibe Coder & AI Engineer
Activation

Reverse ETL to your tools

Sync of dbt models to HubSpot, Salesforce, Intercom, Marketo. Enriched lead score, churn-risk segment, account properties (ARR, plan, industry). Data finally leaves the warehouse to serve day-to-day operations.

3-5syncs in production
CensusHightouchReverse ETLSync
Dimitri GauthierotDedicated expert Dimitri Gauthierot Expert Paid Media | Google, Meta, LinkedIn & TikTok Ads (Founder DG Labs)
Alerting

Slack alerting for critical metrics

Slack alerts on MRR drop > 5%, acquisition anomaly (channel volume), conversion drop per stage, ELT sync failure. Statistical anomaly detection via z-score or Prophet. No noise, only actionable signals.

10+metrics monitored
SlackAlertingAnomaliesMonitoring
Alexis Christine-AmaraDedicated expert Alexis Christine-Amara VP Sales
Handover

Training & data dictionary

Training for your in-house data team or ops lead on dbt and Metabase. Model creation, test debugging, CI/CD deployment. Complete documentation versioned in your Git. Data dictionary: every column and every metric has a single definition.

100%self-sufficient team
TrainingDocumentationdbt docsGit
Tuka BadeDedicated expert Tuka Bade Data Expert | Machine Learning, Python & SQL
What we do differently

Your dashboards without / with Uclic

Move from hand-typed figures to reliable dashboards connected to your real data.

Without Uclic

Spreadsheet reporting

Manual exports. Different results for the same metric.

×Mondays spent compiling
×No overall view
×Diverging definitions
×Numbers already stale
×Unanswered questions
×Disputed numbers
×Time-consuming reporting
×Data stuck in the warehouse
With Uclic

Managed data stack

One source of truth. Dashboards an executive can read every morning.

uclicWarehouse
SENIOR TEAMSINGLE SOURCEVERSIONEDAUTOMATED
Decisions backed by data
From source to dashboardEXPLORE THE SYSTEM

From source to dashboard, every metric is computed once and shared across the whole team.

+

clarity

Key metrics leadership can read at a glance.

+

trust

Every metric computed once, with a shared definition.

+

speed

No more exports or manual consolidation before each meeting.

+

autonomy

Teams explore their data without waiting for an analyst.

The method

How we deliver your B2B dashboards in 6 to 10 weeks

A 7-step method, one deliverable per step. Nothing is improvised.

  1. 01W1 Audit1 week

    Data audit & source mapping

    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 dashboard pricing: audit, build or full 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

Free audit

No commitment
0€

A free first diagnostic, with the priority actions.

    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.

    Data sub-services

    To make your data reliable: tracking, CRM, automation and AI

    AI Agency

    AI agency (artificial intelligence) for SMBs and mid-market companies: AI agents and automations in production in 3 weeks, measured in time saved. Free audit.

    Tracking & Analytics Agency

    Tracking and analytics agency: server-side tracking, GA4 and Meta CAPI fixed end to end. 30-60% more conversions reported. Free audit in 48h.

    CRM & Tools Integration Agency

    CRM Agency (HubSpot, Pipedrive, Salesforce): properly synchronized tools, reliable data, zero re-entry. Free audit delivered in 48h.

    n8n & Make Automation Agency

    B2B automation agency: your operations run automatically with n8n, Make, or code depending on volume. Turnkey workflows delivered. Free audit in 48h.

    Website & Web App Agency

    B2B Web Agency: custom website and application development, tech stack chosen for your team. Fast, measurable, maintainable.

    Custom AI Agents Agency

    Custom AI agents for SMEs and Mid-Caps: designed for your operations, connected to your tools, supervised in production. Free audit in 48h.

    Case studies

    Data & Dashboards: our closest projects

    No published case on Data & Dashboards yet: here are our closest projects, with their raw numbers and context.

    ColibriTD: Deploying the First CRM for a Quantum Deeptech to Sustainably Structure its Sales Function

    ColibriTD, a French quantum deeptech, managed its sales pipeline with spreadsheets and emails. Uclic deployed Pipedrive in 4 steps to lay the foundations for its sales operations function.

    100%

    Pipeline migrated without loss

    +8h/week

    Time saved per sales rep

    Read the case study

    Saint-Gobain Point.P Occitanie: Equipping Store Salespeople with Qualified Artisan Lists, Trade by Trade, Zone by Zone

    Point.P Occitanie needed to equip its store salespeople, store by store, with an actionable artisan database. Uclic delivered a regional database segmented by trade and catchment area, with ~70% direct mobile contact details.

    70%

    Direct mobile numbers delivered

    100%

    Occitanie network coverage

    Read the case study

    Avanoo: 22 Intent Signals Orchestrated to Sell SAM/FinOps at the Precise Moment of Need

    Avanoo targets CIOs/CISOs/FinOps in a rapidly structuring market. Uclic orchestrated 22 business intent signals (key recruitments, M&A, certifications, RFPs, trade shows) through continuous capture → scoring → enrichment → contextualized outbound.

    22

    Orchestrated Intent Signals

    5

    Thematic Clusters

    Read the case study

    YoungData: Transforming LinkedIn Engagement into Qualified Pipeline with 3 Dedicated AI Agents

    YoungData (Microsoft Power Platform) was manually prospecting in a saturated market of self-proclaimed AI experts. Uclic built an agentic system with 3 AI agents capturing LinkedIn behavioral signals → Clay enrichment → Lemlist sequences → Pipedrive CRM.

    3

    Specialized AI Agents

    Continuous

    Signal Sources Captured

    Read the case study

    How Uclic Industrialized B2B Acquisition at CodinGame

    CodinGame (2M+ developers) industrializes B2B acquisition: real-time Python Indeed scraper to detect companies in tech recruitment phase, N8N orchestration, inverted sequences (target devs, not HR).

    2M+

    Developers on platform

    Indeed+ others

    Recruitment signal source

    Read the case study
    Present across France

    Data & BI agency for SMEs and mid-market companies, 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).

    Chargement de la carte…
    Comparison · method published

    Comparing several web analytics agencies?

    Our ranking of French agencies, based on verified Google reviews and their actual specialty, with the method published.

    See the best web analytics agencies
    B2B Data & Dashboards 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.

    Got a specific question? We answer it during the free audit.

    The Uclic blog

    Guides on Data & Dashboards Agency

    Digital Marketing Dashboard: The 2026 Guide

    Digital Marketing Dashboard: The 2026 Guide

    87% of B2B marketing teams use a dashboard in 2026, but only 31% consider it fully actionable (HubSpot). Essential KPIs, best tools (Looker Studio, Power BI, Metabase), 5-step method, and measured ROI: the complete guide to building an effective digital marketing dashboard.

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    5 Looker Studio views your executive committee expects from the marketing team — ready-to-duplicate template, 2026 field data

    5 Looker Studio views your executive committee expects from the marketing team — ready-to-duplicate template, 2026 field data

    80% of the marketing dashboards presented to the executive committee are read for less than 3 minutes. Here are the 5 Looker Studio (free) views that drive decisions and unlock budget: pipeline in euros, CAC by channel, MQL→SQL conversion rate, sales cycle length, and multi-touch attribution.

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    SIRENE File: B2B Prospecting Guide FR 2026

    SIRENE File: B2B Prospecting Guide FR 2026

    The SIRENE file lists nearly 39 million French establishments via a free INSEE API. Here's how to leverage it to build clean, GDPR-compliant, and scalable B2B prospecting.

    Lire l'article
    Wladimir DelcrosBy Wladimir Delcros, Head of Growth · Updated on October 29, 2026
    Last step

    A free audit,
    results in 48h.

    Senior leadership, certified media buyers, AI agents in production. No interns on your account: the team you meet is the team that ships.

    Lourmarin offsite · September 2025Meet the whole team Apply to uclic
    The Uclic team | three rows of smiling colleagues, arms raised, wearing green uclic t-shirts
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