Business analysts discussing data at a workstation
For organisations with a serious data question

From scattered data to better-grounded decisions

Your organisation already has a lot of data. The challenge is making that data reliable, understandable and useful for people who make decisions every day. Datalab Studio brings sources, definitions, dashboards, analyses and adoption together in one practical approach.

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When Datalab Studio adds value

Not every data question starts with a large programme. Often it starts with one recurring question that no one can answer quickly and reliably.

What is Datalab Studio?

A workable data foundation for your organisation

Datalab Studio is our approach for organisations that want to use their data more seriously, but where a sector-specific studio is not the right entry point. The core remains the same: unlock sources, define definitions, monitor data quality and make insights available to the teams that need to work with them.

We combine data from operational systems, sensors, planning software, CRM, finance, service processes, web applications, spreadsheets, databases and external sources. On top of that, we build dashboards, reports, analyses, data products or AI applications that fit the way your organisation makes decisions.

The result is not a standalone dashboard, but a reliable foundation that can grow. You can start small with one source or analysis, and later expand to multiple teams, processes and applications.

Sources

Bring together data from systems, files and processes

From API and database to export, measurement data, planning, finance, CRM or custom application. We choose the technical route that fits the source and intended use.

Definitions

One way of calculating and reporting

KPIs, filters, exceptions and source logic are explicitly documented, so teams no longer have to keep debating which export is correct.

Insight

Dashboards, analyses and signals that are used

Management information, operational steering, quality monitoring, forecasting or anomaly detection only create value when they connect to real decision moments.

Adoption

Technology that lands in the workflow

We take users along, document choices and make sure the solution remains manageable for the people who need to work with it.

Applications

What you can do with a reliable data foundation?

The form differs by organisation. The underlying question is often the same: how do we make data reliable enough to steer by?

1 Steering

Current management information without manual copying and pasting

Many reports still come from separate exports, spreadsheet edits and manual checks. That takes time and makes figures fragile. Datalab Studio automates the data foundation behind those reports, so teams can reach current and verifiable information faster.

Think of management dashboards, weekly operational reports, project steering, capacity views, quality measurements or commercial progress. The value lies in the same figures, the same definitions and less dependence on manual work.

2 Process

Understand processes by combining data from several steps

Data often becomes valuable only when you can see the chain: request, planning, execution, delivery, service, invoicing and result. If every step lives in a different system, improvement often remains based on assumptions.

By combining process data, you can see where work gets stuck, where capacity is under pressure, where quality declines and which signals need attention earlier.

3 Quality

Reliable data as a condition for analysis and AI

AI, forecasting and advanced analytics only work when the underlying data is reliable, traceable and well managed. That is why we do not start with the model, but with the data foundation.

We set up checks for completeness, timeliness, exceptions and definitions. This creates an environment in which analysis does not have to start again each time with cleaning and explanation.

4 Growth

Start small and expand without starting again

A good first step does not need to be large. One source, one dashboard or one analysis can already be enough to show value and create support.

The difference lies in how that first step is built. If connections, permissions, data models and documentation are reusable from the start, the foundation can grow with new questions.

Collaboration model

Three ways to start with Datalab Studio

Datalab connects to the capacity you already have. Some organisations mainly want a reliable technical foundation. Others need guidance from question to daily use.

Optie #1

Platform and tooling

We deliver connectors, data models, quality checks, permissions and a manageable platform. Your own team then builds dashboards, analyses or data products on top of it.

  • For organisations with their own data, IT or BI capacity
  • Clear architecture, handover and documentation
Data warehouse setup DBT & data modelling Apache Airflow consultancy
Optie #2

Foundation plus first applications

We build together with key users and technical staff. This creates results immediately, while knowledge about sources, definitions and use grows inside your organisation.

  • Practical for a first data warehouse or dashboard environment
  • Suitable when adoption matters as much as technology
Dashboards & BI Analytics & AI Power BI consultancy
Optie #3

From data question to management

Datalab guides the full process: sharpen the question, unlock sources, build data models, realise dashboards or analyses, take users along and develop further.

  • Also suitable without your own data team
  • From first scan to management and further expansion
Data strategy & consulting Data warehouse setup Analytics & AI
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How do we make a broad data question concrete?

We do not start with technology for technology's sake, but with the decisions, processes and users for whom data needs to create value.

1.

Choose a sharp first question

We determine which question creates value first. For example faster reporting, grip on process quality, insight into capacity, better planning, more reliable KPIs or a basis for forecasting.

Resultaat: a concrete scope.

2.

Map sources and definitions

We investigate which systems, files, APIs, databases and manual steps are needed. At the same time, we define what terms mean and where data is sensitive, incomplete or ambiguous.

Resultaat: visibility of feasibility and risks.

3.

Build a reusable foundation

We set up connections, data models, permissions, quality checks and documentation so the first application does not stand alone, but can be expanded later.

Resultaat: a reliable data foundation.

4.

Make the first application usable

We deliver a dashboard, report, analysis, data product or AI preparation that connects to the workflow. Users know what they are seeing, what the figures mean and when to act.

Resultaat: data that can be used every day.

After that, the foundation grows with you

5a. Continue independently

Your team builds new applications

Your own team uses the foundation for new dashboards, analyses and questions. Datalab remains available for platform management, review, training and more complex extensions.

5b. Develop together

Datalab keeps building and guiding

We add new sources, improve data models, build additional applications and support adoption as the data question broadens.

The best route is often hybrid: Datalab builds the foundation and first applications, while your organisation gradually does more itself.

Source catalogue

Data starts with the sources you already have

Datalab Studio can work with standard applications, databases, APIs, files, measurement data and custom sources. If a source is not listed in the catalogue, that is usually not the end of the road. We investigate the available API, database, export, event stream or custom connection and choose the route that remains manageable.

ERP & business software Accounting & finance HR & personnel planning

AFAS

AFAS is a broad ERP platform for finance, HR, payroll, projects and business processes. Because several departments work in the same system, AFAS data is often a rich source for management information.

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Webshops & marketplaces

Akeneo

Akeneo is a PIM platform for product information. Teams use it to manage product data, attributes, classifications and content centrally before publishing to webshops, marketplaces or other channels.

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Webshops & marketplaces

Amazon

Amazon is an important sales channel and marketplace for many sellers. Its data covers not only orders, but also listings, performance, stock, fees and customer interaction.

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Accounting & finance ERP & business software

Basecone

Basecone digitises invoice and booking document processing. For finance teams and accountants, it contains valuable information about document flows, processing statuses and administrations.

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Webshops & marketplaces

bol.com

bol.com is an important marketplace channel for many retailers and brands. Orders, listings, delivery performance, returns and channel statistics provide insight into commercial performance.

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Logistics, WMS & inventory

bpost

bpost is a logistics source for shipments, delivery and parcel statuses. For webshops and operations teams, this data is important for tracking delivery times and service quality.

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Logistics, WMS & inventory

Budbee

Budbee is a delivery and last-mile source for e-commerce logistics. Its data centres on shipments, delivery windows, statuses and customer-focused fulfilment.

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Public and open data

CBS

CBS provides official statistical datasets about the Netherlands, from tabular figures and indicators to more complex geographic data.

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Webshops & marketplaces Marketing & analytics

Channable

Channable is used to manage product feeds, marketplace channels and advertising feeds from one environment.

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Webshops & marketplaces

Chargebee

Chargebee supports subscription billing, recurring revenue and subscription management. Its data is valuable for revenue recognition, churn, invoicing, contracts and customer value.

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Webshops & marketplaces

commercetools

commercetools is a headless commerce platform for organisations that want to configure commerce flexibly through APIs. Products, carts, orders, customers and channel processes generate a lot of data.

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Webshops & marketplaces

CreditDevice

CreditDevice supports credit management, debtor management and risk assessment. Its data helps finance teams better understand payment behaviour, credit risks and follow-up.

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Custom, databases & APIs

Database of bronsysteem

Not every valuable source has a familiar SaaS name. Crucial data often lives in an internal database, custom application, export folder or source-system API.

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HR & personnel planning

Daywize

Daywize supports HR processes, absence management, personnel administration and workforce-related information. Its data is important for reporting on employees, availability and organisational processes.

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Logistics, WMS & inventory

DeliveryMatch

DeliveryMatch supports shipping choice, delivery management and fulfilment processes for e-commerce. Its data says something about carriers, delivery options, shipments and service choices.

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Webshops & marketplaces

Delogue

Delogue is used in fashion and product development to manage collections, suppliers, materials and product communication. This makes it a valuable source of product and supply-chain information.

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Logistics, WMS & inventory

DHL Pakket

DHL Pakket contains data about shipments, labels, tracking and delivery statuses. For webshops and operations teams, this information is essential for tracking delivery reliability and costs.

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Logistics, WMS & inventory

DPD

DPD is a logistics source for parcel delivery, tracking and delivery statuses. Its data helps make shipping performance, lead times and exceptions visible.

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HR & personnel planning

Dyflexis

Dyflexis supports staff scheduling, time registration and workforce management. For organisations with rosters, locations and teams, it contains data about staffing, availability and worked hours.

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Agriculture, cultivation & sensor data

e-Brida

e-Brida is software for the seed and breeding sector, covering pedigrees, trials, observations, photos, field registration and analyses.

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Accounting & finance ERP & business software

Exact Globe

Exact Globe is an ERP and financial system often used for administrations, general ledger, sales, purchasing, stock and business processes.

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Accounting & finance ERP & business software

Exact Online

Exact Online is the administrative heart of many organisations. Invoices, bookings, debtors, creditors and sometimes projects, CRM or stock come together there.

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Logistics, WMS & inventory

FedEx

FedEx provides shipment, tracking and delivery data for international and domestic logistics. For fulfilment and service-quality reporting, this data is valuable alongside orders and customer information.

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Accounting & finance

Fiscaal Gemak

Fiscaal Gemak is used for tax processes and filing work in administrative or accountancy environments. Its data is relevant for progress, statuses, client files and accountability reporting.

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CRM & sales

Freshdesk

Freshdesk is a platform for customer service and ticket handling. Tickets, conversations, statuses, SLAs and customer questions provide insight into service quality and workload.

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Logistics, WMS & inventory

Fulfilment Crowd

Fulfilment Crowd supports fulfilment, storage and shipping processes for webshops and brands. Its data centres on orders, stock, shipments and operational processing.

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Agriculture, cultivation & sensor data Custom, databases & APIs

Gearbox

Gearbox is a source that can appear in agricultural and cultivation processes, for example around vision AI, quality control or operational observations.

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CRM & sales

Genesys

Genesys is used for customer contact, contact centres and omnichannel service processes. Calls, waiting times, interactions and routing provide valuable data about customer service.

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Custom, databases & APIs

GitHub

GitHub is where software teams manage repositories, issues, pull requests, releases and workflows. For organisations steering software development, it contains valuable process data.

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Marketing & analytics

Google Ads

Google Ads contains campaign, ad, keyword and conversion data that marketing teams use to steer paid search traffic. Separate campaign reports only tell part of the story.

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Marketing & analytics

Google Analytics

Google Analytics measures website and app usage, events, conversions and traffic sources. The data becomes manageable when it is linked to commercial or operational outcomes.

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Marketing & analytics

Hotjar

Hotjar provides insight into user behaviour through heatmaps, session recordings, feedback and forms. It shows where visitors drop off or get stuck, but often sits apart from hard conversion and customer data.

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CRM & sales Marketing & analytics

HubSpot

HubSpot combines CRM, marketing automation, sales and service processes. Leads, deals, campaigns, contact moments and tickets together create a rich customer view.

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Marketing & analytics

Instagram Ads

Instagram Ads contains advertising performance around campaigns, audiences, creatives and conversions within the Meta ecosystem. For marketing teams, this data is most valuable alongside cross-channel results.

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Webshops & marketplaces ERP & business software CRM & sales

Itsperfect

Itsperfect is a cloud ERP solution for fashion brands. The platform brings ERP processes together with B2B webshop, POS, PLM, WMS, wholesale, retail and customer data.

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ERP & business software

Jira

Jira supports teams with project management, software development and issue tracking. Issues, sprints, statuses, lead times and priorities provide insight into workload and progress.

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Accounting & finance ERP & business software

Kantoor Gemak

Kantoor Gemak supports administrative and accountancy processes around client files, workflows and office organisation. Its data helps make progress, workload and client service visible.

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Marketing & analytics

Klaviyo

Klaviyo is a marketing automation platform for e-commerce, email, SMS and customer segmentation. Campaigns, flows, profiles and revenue contribution provide valuable marketing data.

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Public and open data

KNMI

KNMI provides weather, climate and measurement data that organisations use for planning, risk analysis, policy and operational context. Its value often lies in combining it with your own time series, locations or events.

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Webshops & marketplaces

Lightspeed

Lightspeed is used for point-of-sale processes, sales, stock and retail or hospitality reporting. Its data is highly operational: transactions, products, locations, customers and stock movements come together there.

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HR & personnel planning

Loket

Loket brings payroll processing, HR data and personnel information together in one environment.

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Marketing & analytics

Mailchimp

Mailchimp supports email marketing, lists, campaigns and automations. Open rates and clicks are useful, but become more valuable alongside customer, revenue and conversion data.

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Marketing & analytics

Matomo

Matomo is an analytics platform for organisations that want to measure website behaviour, campaigns and digital conversions with more control over privacy and data ownership.

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Marketing & analytics

Meta Ads

Meta Ads covers advertising data from channels including Facebook and Instagram.

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Marketing & analytics

Microsoft Ads

Microsoft Ads contains advertising performance from the Microsoft search network, including campaigns, keywords, costs and conversions. In reporting, this channel is often viewed alongside Google Ads and social advertising.

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Accounting & finance ERP & business software

Microsoft Dynamics Business Central

Microsoft Dynamics 365 Business Central is an ERP solution for finance, sales, purchasing, stock and operations. For many organisations it is a central source for business processes.

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CRM & sales

Microsoft Dynamics Customer Engagement

Microsoft Dynamics Customer Engagement supports CRM processes such as sales, marketing, service and customer relationships. Its data provides visibility into accounts, opportunities, activities and customer interactions.

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Accounting & finance ERP & business software

Multivers

Multivers, formerly Unit4 Multivers and now part of Exact, is business software for SMEs covering accounting, HR, payroll administration and office automation.

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Accounting & finance ERP & business software

Navision

Navision, often known as Microsoft Dynamics NAV, is an ERP system for finance, sales, purchasing, stock and operations. Many organisations have built years of process history in it.

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HR & personnel planning

Nmbrs

Nmbrs is used for payroll processing, HR processes and personnel information. For accountants, HR teams and employers, it contains data about employees, payroll runs, contracts and changes.

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CRM & sales

Ovatic

Ovatic is a platform for cultural institutions around planning, ticketing, marketing and CRM. Programmes, venue occupancy, ticket sales, subscriptions and audience profiles come together there.

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HR & personnel planning Custom, databases & APIs

PE-Online

PE-Online is used for continuing education, accreditation, quality registrations and professional development. Its data is often important for progress, accountability and signalling.

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Webshops & marketplaces

Picqer

Picqer is warehouse software for webshops and fulfilment teams. Orders, pick lists, stock locations, shipments and processing times come together there.

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Logistics, WMS & inventory

PostNL

PostNL contains logistics data about parcels, labels, tracking and delivery statuses. For retail and e-commerce, this data is important for tracking delivery reliability, delays and customer impact.

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Webshops & marketplaces

Returnless

Returnless supports return processes for e-commerce. Its data shows which products are returned, why customers return them and how return flows develop.

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CRM & sales

Salesforce

Salesforce is a broad CRM platform for sales, service, marketing and customer relationships. Accounts, opportunities, activities, cases and forecasts form an important commercial source.

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Marketing & analytics

SendGrid

SendGrid is used for transactional email and email campaigns. Delivery, opens, clicks, bounces and events provide insight into communication quality.

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Webshops & marketplaces

Shopify

Shopify is a widely used commerce platform for webshops. Orders, products, customers, discounts, payments and stock provide a rich view of online sales.

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ERP & business software Custom, databases & APIs

SmartFMS

SmartFMS, from the BlueLemon24 environment, helps organisations with client files, processes, tasks, hours, invoicing and central case-file management.

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Marketing & analytics

Snapchat Marketing

Snapchat Marketing contains advertising data around campaigns, audiences, creatives and conversions on Snapchat. For marketing reporting, this data is most useful alongside other paid channels.

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Webshops & marketplaces

Storescan

Storescan provides visitor counts and in-store analytics for retail, real estate and locations.

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Marketing & analytics

SurveyMonkey

SurveyMonkey is used to collect surveys, feedback and research results. Responses provide context for customer satisfaction, employee signals or market research.

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HR & personnel planning

Tamigo

Tamigo supports staff scheduling, time registration and workforce management.

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CRM & sales ERP & business software

Teamleader

Teamleader combines CRM, sales, projects and invoicing processes for commercial teams and service providers. This creates rich context about customers, deals, activities, projects and follow-up.

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Marketing & analytics

TikTok Marketing

TikTok Marketing contains advertising data about campaigns, creatives, audiences, costs and conversions on TikTok. For a complete marketing view, this channel is usually compared with search, social and webshop data.

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Logistics, WMS & inventory

Trunkrs

Trunkrs is a logistics source for same-day and next-day delivery in e-commerce. Shipments, statuses and delivery moments provide insight into operational performance.

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Marketing & analytics

Trustpilot

Trustpilot collects reviews and customer ratings. Its data provides valuable signals about satisfaction, reputation and areas for improvement.

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Logistics, WMS & inventory

UPS

UPS provides tracking, shipping and delivery data for logistics processes. For operational reporting, this data is valuable alongside orders, returns and customer contact.

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Public and open data CRM & sales Custom, databases & APIs

V-smart

V-smart is an integrated library system from Axiell for collection management, lending, catalogue management, order administration, journal management, reporting and public catalogue.

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Public and open data Custom, databases & APIs

Vektis

Vektis manages and publishes healthcare data that organisations use for analysis, policy, accountability and sector insight. That data becomes more valuable when placed alongside your own healthcare, finance or policy data.

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Agriculture, cultivation & sensor data Custom, databases & APIs

WolkyTolky

WolkyTolky is relevant in agricultural environments where weather, measurement and sensor data from fields or cultivation processes is used.

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Webshops & marketplaces

WooCommerce

WooCommerce is a webshop platform inside WordPress. Orders, products, customers, coupons, payments and stock provide a rich view of online sales.

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CRM & sales

Zendesk

Zendesk is used for support, tickets, customer contact and service processes. Tickets, statuses, channels, SLAs and customer interactions provide insight into service quality and workload.

View source

Datalab is a partner of

Exact
Nmbrs
Loket
Frequently asked questions

Questions about Datalab Studio

Practical answers about starting, sources, dashboards, data warehousing, AI and collaboration.

When is Datalab Studio a good entry point?

Datalab Studio fits when your organisation wants to combine data from several sources, automate reporting, define definitions or build a reliable foundation for dashboards, analyses, forecasting or AI. The first question can be small, as long as the foundation is set up for reuse.

Do we need to know exactly which dashboard we want?

No. Often we start with a problem: figures arrive too late, reporting takes too much manual work, sources contradict each other or teams lack grip on a process. Together we translate that into a first usable application.

Can you work with custom software or technical data sources?

Yes. We look at APIs, databases, exports, files, event streams or other technical routes. What matters is that the connection remains manageable, secure and verifiable. Also see our data warehouse setup service.

Is this mainly a data warehouse or mainly dashboards?

Both can be part of it, but Datalab Studio is broader than one technology. It is about the foundation underneath reliable data: sources, data models, definitions, permissions, quality checks and applications such as dashboards, reports, analyses or AI.

Can employees work with the data themselves?

Yes, if that is the goal. We can set up datasets, documentation, permissions and tooling so teams can create analyses themselves in Power BI, Tableau, SQL, Python, R or other tools. At the same time, we make sure definitions and quality remain controlled.

How small can we start?

A first step can be one source, one dashboard, one dataset or one analysis. Starting small works well precisely when the first step is built carefully and can grow later.

Can you also build AI applications?

Yes, but only when the data foundation is suitable for it. We help with forecasting, anomaly detection, classification, process automation or AI workflows, and look at data quality, explainability, permissions and risks. Also see Analytics & AI.

How do we prevent this from becoming a technical project that no one uses?

By working from users, decisions and workflows from the start. We clarify what figures mean, how they are used and who owns definitions and follow-up. Adoption is part of implementation, not something added afterwards.

What does Datalab Studio cost?

That depends on the number of sources, the desired applications and the division of responsibilities between your team and Datalab. We can start small and usually work with a clear fixed monthly fee, so costs remain predictable. Schedule a call to determine the first step.

Make your first data question concrete

Start with one source, one dashboard or one analysis. If the foundation is right, your data platform can grow step by step with new questions.

Schedule a call