4.9

Business intelligence services for eCommerce

Dashboards that pull your store data and your ad-platform spend into one place, built and maintained by an analytics team specialized in eCommerce.

Trusted by 700+ leading brands worldwide

Trusted by 700+ leading brands worldwide

 The team behind BI services

575+

 eCommerce BI dashboards delivered

300+

Clients trust our analytics team

60+

Full-time analysts and data engineers

Why weekly reporting is slow and still gets questioned

Dashboards fail for reasons that have nothing to do with the charts. The numbers come from systems that were never reconciled, and every new question means another manual export.

 Numbers that disagree

Your store reports one revenue figure and the finance export reports another, so every meeting starts by arguing about which number to believe.

Dashboards nobody opens

A dashboard built around whatever was easiest to connect gets opened twice in its first week and then abandoned by the team it was meant to serve.

Every question is a project

When metric definitions are not modeled, answering a new question means an analyst rebuilding an export by hand, and the answer comes after the decision.

Book a dashboard walkthrough

 What a business intelligence project includes

We begin with the decisions your teams make each week, then work back to the data those decisions require. 

Dashboard design

Views built around the decisions each team actually makes, in Looker Studio, Tableau, or Power BI; the numbers get read on screen.

Data warehouse and modeling

Because your metric definitions are modeled once in BigQuery, Snowflake, or Redshift, every dashboard counts revenue the same way.

Automated reporting

Scheduled reports delivered to email or Slack automatically, so no one on your team rebuilds the same numbers by hand each week.

Alerting and anomaly detection

When a data feed breaks or sales drop suddenly, thresholds set on the metrics that matter surface the problem the same day.

Source connections

Store, ERP, POS, and ad-platform data connected into one model, including the offline sources that reporting usually excludes.

Training and handover

Sessions with your team on building and editing views, plus written documentation of the model, so changes stop needing a ticket.

Book a consultation with our analytics team

‍The walkthrough covers which pieces are already in place, which are missing, and what it costs to close the gap.

 Why brands choose scandiweb for business intelligence consulting

An analytics practice since 2015

Our analytics team has run full-time since 2015, so reporting is not a side service delivered by developers between store builds.

60+ certified specialists

The team holds 60+ current GA4 and Adobe Analytics certifications, and Google and Adobe both recognize scandiweb as a certified analytics partner.

Certified on the platforms

Our analytics specialists keep current Google and Adobe certifications, renewed each time those platforms update them.

Backed by a 600-person agency

The analysts sit inside a 600-person eCommerce agency with 2,100+ projects behind it, so the team that builds your store and the team modeling its data are one company.

Only the best experts hired

The analysts on your account come through the same hiring filter as our engineers and developers, which only 0.4% of applicants pass.

Certified secure delivery

Your warehouse holds customer and order data, so delivery runs under ISO 27001 and 27017 certification and PCI DSS compliance, with GDPR and CCPA frameworks applied.

How a reporting project is delivered

The first stage produces a written list of the decisions your reporting has to support, and every later stage is measured against it. 

 Reporting requirements

We interview each team on the decisions they make weekly, then write down the metrics those decisions need and how each one is defined.

 Data model and warehouse

 Sources are connected into a warehouse and the metric definitions are modeled once, so every downstream view counts the same way.

Dashboard build

Views are built for each audience, including an executive summary and the operational detail a category manager needs daily.

 Alerting and QA

Every figure is reconciled against the source system, and thresholds are set so anomalies surface before anyone reports on them.

Handover and training

Your team is trained to build and edit views, and the full model documentation is handed over as part of the build itself.

Projects from our analytics team

A full analytics revamp with one partner owning the whole stack

Accurate

 Tracking of full user journeys

Unified

Data collection in one GA4 property

Informed

Decisions guided by BigQuery reporting

Learn more

GA4 rebuilt from scratch for a custom eCommerce platform

10 markets

Unified in one BigQuery warehouse

Seller KPIs

Tracked in real time

Product decisions

Guided by custom metrics

Learn more

Server-side tracking and a reporting layer for a global store network

Weekly

BI insights delivered with recommendations

Unified

Web and marketing KPIs

Connected

Warehouse and visualization layer

Learn more

 What clients say about working with scandiweb

scandiweb is a supportive, solution-oriented Magento partner. We like working with you guys. Proactive and reactive. Great quality.
Claudia Schioenning
Head of eCommerce
For more than 10 years, scandiweb 
has supported our Magento platform with top talent, helping us reach our strategic goals.
Jonathan Chan
Head of Global IT
scandiweb is our strategic partner 
for end-to-end Magento development and 360° eCommerce expertise, including UX and data.
Henri Kruusel
Head of eCommerce & Marketing
Working with scandiweb on our Magento 2 platform has been a pleasure. They are always trying to find the best solutions.
Marc Muntané
eCommerce Manager
This is the most important project of all those years. That’s why we choose you - because we are 100% sure you will help us deliver it in the best way.
Giuseppe Leonardi
Head of Software Development
It’s been an extremely fruitful relationship and we are really, really happy.
Jeanine Frutuoso
Director of Marketing

Frequently asked questions about BI and reporting

What tools do you build dashboards in?

Looker Studio, Tableau, and Power BI are the three we deliver most often, and the choice follows what your team already has licensed. The warehouse underneath is usually BigQuery, Snowflake, or Redshift. We recommend against introducing a new tool when an existing one covers the requirement.

How long until the first dashboard is live?

Requirements and the data model usually take a few weeks, and a first working view often follows shortly after. Timelines scale with the number of source systems involved, which the first stage establishes before any build work starts.

 Which data sources can you connect?

Store platforms, ERP, POS, and the major ad platforms, along with offline sources that usually sit outside reporting. Where event tracking is unreliable, that is corrected first by our data collection setup team as a separate stage.

How can I trust the numbers in a dashboard?

Every metric is reconciled against its source system during QA, and the definition of each one is written down and shared. Where two systems disagree we close the gap at source, so the same figure appears wherever it is used.

How much do business intelligence services cost?

Cost depends on the number of source systems, the complexity of the metric definitions, and whether a warehouse already exists. The figure is fixed after the requirements stage, so you see it before the build begins.

Do you only build dashboards, or do you analyze the data too?

Both. The build gives your team the views, and our analysts can stay on to interpret what they show and recommend action. Ongoing analysis is scoped separately from the build, and plenty of clients take the build alone.

Talk to a reporting specialist

Send us the list of systems your numbers come out of today, plus what the team reports on each week. A specialist responds with a requirements review scope and its price.

Metric definitions agreed before any build
 Reconciled against your source systems during QA
 Your team trained to edit views at handover

Prefer to talk now? Book a call straight away, or email us at: [email protected]

We will reply within 1 business day.

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Related services

 Still assembling reports by hand? Book a BI consultation

A specialist walks through a live example and what it would take to build the same on your data.