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Data Leads —
what happens
before the BI.

Business Intelligence is only as good as the data feeding it. ETL, MDM, data quality, data governance — Data Management projects determine the reliability of every data-driven decision. Seventic generates qualified leads and prospects for the publishers and integrators structuring this ecosystem.

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4
Referenced publishers
Mid-market
to enterprise
20 years
B2B IT expertise
What makes this market specific
A market driven by complexity
The more complex the IS and the more numerous the data sources, the more critical Data Management becomes. Mid-market and enterprise are the core of this market.
Compliance and governance as drivers
GDPR, sector regulations, financial data quality audits — compliance is often the trigger for Data Management projects.
Projects triggered by other events
ERP migration, merger-acquisition, digitalisation — the Data Management need often emerges mid-way through another project. Our SDRs know how to detect it.
.01 — Definition

Data Management:
what you need to know.

Data Management refers to all the practices, processes and technologies that enable an organisation to collect, integrate, clean, govern and store data reliably and consistently.

It is the foundation on which the entire data value chain rests. Without solid Data Management, Business Intelligence produces inaccurate results, AI trains on poor-quality data and strategic decisions rest on fragile foundations.

The Data Management market is driven by the multiplication of data sources, regulatory pressure (GDPR, financial compliance) and the explosion of AI projects that require perfectly structured input data.

Technical scope covered
ETL / ELT — extraction, transformation, loading of data between source and target systems
MDM (Master Data Management) — single customer, product, supplier, employee reference
Data Quality — detection, correction and prevention of errors in data
Data Platform — central architecture to collect, store and distribute data
Data Mesh — decentralised domain-based architecture with distributed data ownership
Data Pipeline — automated collection and transformation flows in real time or batch
Data Catalogue — inventory of available data, their meaning, quality and traceability
Data Governance — policies, roles and processes ensuring data quality, security and compliance

Data Management vs BI: two markets, two entry points.

The confusion between Data Management and Business Intelligence is common. They are two distinct markets — different publishers, different decision-makers, different budgets.

Our SDRs make the distinction and adapt their prospecting to your positioning. A publisher like Talend or Informatica is not prospected like Power BI or Tableau — the challenges, contacts and arguments are different.

Data Management — upstream
  • Data collection & integration
  • Quality and cleaning
  • Single reference (MDM)
  • Governance and compliance
  • Data platform architecture
  • Decision-makers: CDO, CIO, CFO
  • Publishers: Talend, Informatica, Semarchy
Business Intelligence — downstream
  • Output and visualisation
  • Reports and dashboards
  • Decision-support analytics
  • Self-service analytics
  • Business KPIs
  • Decision-makers: CFO, CDO, business units
  • Publishers: Power BI, Tableau, Qlik
.02 — Our approach

Detect the Data need
before it is formalised.

Data Management projects rarely emerge on their own. They are often triggered by another event — an ERP migration that reveals data quality problems, a merger-acquisition requiring a single reference, an AI initiative that demands clean data.

Our SDRs learn to detect these triggering events. They do not wait for a prospect to publish a Data Management tender. They identify signals upstream and engage the conversation at the moment the need is taking shape.

01

Brief & use case identification

Understanding your solution, client cases and positioning within the data ecosystem. Identifying the sectors and company sizes where your offering generates the most value.

02

Data buying signal detection

CDO recruitment, announced ERP projects, ongoing mergers, regulatory news, creation of a data team. Our SDRs use these signals as entry points in prospecting.

03

Multichannel prospecting — technical and business messaging

A CDO receives a message on data strategy and governance. A CIO receives a message on architecture and integration. A CFO receives a message on financial data quality. Our SDRs adapt the angle.

04

Qualified leads and meetings with data context

Every lead delivered includes: identified data challenge, scope involved, data sources concerned, decision-makers, project horizon. Your consultants arrive prepared.

.03 — Contacts

The decision-makers
we address.

A Data Management project involves varied decision-makers depending on the scope — technical, strategic or regulatory. Our SDRs identify the right contact and adapt their messaging.

CDO
Chief Data Officer / Head of Data
Approach angleData strategy, governance, data mesh, organisational data maturity. Central decision-maker on structural data platform and MDM projects.
CIO
Chief Information Officer
Approach angleTechnical architecture, source integration, ETL/ELT, data pipelines, systems interoperability. Co-decision-maker on data infrastructure projects.
CFO
Chief Financial Officer
Approach angleFinancial data quality, regulatory compliance, reporting reliability, accounting master data. Key decision-maker on data quality and financial MDM projects.
Business Dir.
Supply Chain, Marketing, HR, Procurement
Approach angleProduct, customer or supplier master data. Concrete data problems: duplicates, missing data, inconsistencies between systems. Co-owner of the MDM project in their domain.
.04 — References

The Data solutions
we know inside out.

Seventic has run prospecting and lead generation campaigns for Data Management publishers. Our SDRs know the messaging, use cases and sales cycles of each solution.

Talend
  • Talend Data Integration — ETL/ELT, data pipelines, universal connectors
  • Talend Data Quality — cleaning, deduplication, enrichment
  • Talend Data Catalog — inventory, governance, traceability
  • Talend Cloud — SaaS deployment, hybrid integration
Direct client
Informatica
  • IDMC (Intelligent Data Management Cloud) — unified data platform
  • Master Data Management — multi-domain master data
  • Data Quality & Observability — real-time quality
  • PowerCenter — legacy ETL for enterprise accounts
Direct client
Semarchy
  • xDM — agile MDM, fast multi-domain deployment
  • Semarchy Cloud — SaaS MDM, accelerated implementation
  • MDM specialist for mid-market and enterprise — customer, product, supplier master data
Direct client
Lobster Data
  • Lobster_data — data integration, EDI, format transformation
  • Universal connectors — ERP, WMS, TMS, marketplace, partners
  • Supply chain data and B2B inter-company exchange specialist
Direct client
.05 — FAQ

What we
get
asked.

Practical questions about our Data Management engagements.

What is the difference between Data Management and Business Intelligence?+
Data Management covers everything that happens upstream: collecting, integrating, cleaning, governing and storing data. Business Intelligence is the downstream output — reports, dashboards, analyses. Without solid Data Management, BI produces unreliable results. The two are complementary but address different decision-makers and different budgets.
Which decision-makers do you prospect for Data Management projects?+
Our SDRs primarily address the CDO and Head of Data for strategic governance and data platform projects, the CIO for integration and architecture projects, and the CFO for financial data quality and regulatory compliance projects. On MDM projects, the relevant business unit head — supply chain, marketing, HR — is often a co-decision-maker.
Do you work for Data publishers or also for integrators?+
Both. Seventic has run prospecting engagements for publishers like Talend, Informatica, Semarchy and Lobster Data. We work directly for publishers and for their specialist integrator partners. The publisher looks for new logos, the integrator looks for implementation projects in their sector or geography of specialisation.
How do you detect Data Management projects in progress?+
Data Management projects are often triggered by another event: an ERP migration that reveals data quality problems, a CDO recruitment, a merger-acquisition requiring reference harmonisation, a GDPR deadline, or an AI initiative requiring clean data. Our SDRs detect these signals and use them as entry points in the conversation.
Is Data Management also relevant for SMBs?+
Yes, although the main market is mid-market and enterprise where system complexity and data volumes justify structural projects. For SMBs, projects are more focused — data quality on a specific scope, integration of a few sources, setting up a product or customer master. Our SDRs adapt their approach based on the size and data maturity of the target.
Go further
Qualified B2B appointment setting — our flagship service for Data publishers→ BI & Analytics Leads — from data to decision→ AI Leads — the other market that depends on data quality→
Other Tech & SaaS solutions
ERP→ BI & Analytics→ Cloud→ Artificial Intelligence→ Storage→
Data
.06 — Launch an engagement

Your Data leads
start
now.

Let's talk about your solution, your targets and your priority use cases. In 30 minutes, we'll show you how Seventic generates qualified Data Management leads in your markets.

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