4.9
eCommerce data collection and storage services
scandiweb sets up how your store collects data and where it is stored, so the numbers in your reports match the orders in your system.
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Trusted by 700+ leading brands worldwide
Trusted by 700+ leading brands worldwide
Analytics that eCommerce teams rely on
23+
Years building eCommerce systems
2,100+
eCommerce projects delivered
60+
Certified GA4 and Adobe Analytics experts
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Most eCommerce teams have the data and still cannot use it
The records already exist. Orders sit in the commerce platform, customer profiles in the CRM, campaign results inside each ad account, and stock levels in the ERP. Nothing joins them, so any question that crosses two systems turns into a manual export.
Numbers that never match
The platform reports one revenue figure, the ad account reports another, and finance produces a third. Planning stops while people argue about which export is right.
Reporting rebuilt by hand
Analysts spend the start of every month pulling exports and pasting them together, so reporting lands late and the version that arrives is out of date.
Stored data nobody governs
Records accumulate with no retention rule, no named owner, and no record of consent, which turns old customer data into a liability one day.
What eCommerce data collection and storage covers
Scope depends on how many systems hold your data and how far apart they sit. A single-market store needs a fraction of what a five-market retailer with a POS estate needs. Dashboards built on top of the warehouse are covered by our BI dashboards.
Measurement planning
We agree which events and fields your teams actually need before anything is built, so the collection layer answers real questions instead of everything at once.
Tracking implementation
Purchase, cart, and product events are implemented across web and app, then tested against real orders so what is recorded matches what was sold.
Data warehouse setup
A BigQuery warehouse your team owns, holding history that outlives platform retention limits and any reporting tool you may switch to later.
Data quality and governance
Naming rules, validation checks, and a named owner per table, with alerts that flag a broken feed before it reaches somebody's report.
Consent, privacy and retention
Retention windows, access rules, and consent records configured against GDPR and CCPA, so stored data stays inside what customers agreed to.
Not sure what you are collecting today?
Why eCommerce brands pick scandiweb for data work
Data collection and storage work touches marketing, finance, and engineering at the same time, which is where most projects stall. Strategy and reporting above this layer are covered by our analytics services.
60+ specialists in house
60+ full-time analysts and data engineers, certified on GA4 or Adobe Analytics, working in eCommerce since 2015.
894+ Adobe certifications
The most certified Adobe Commerce team in the world, with 0.4% of applicants passing our hiring process before they touch client data.
$4B+ processed every year
The transaction data we work with belongs to brands processing over four billion dollars a year, so the volumes here are routine rather than new.
ISO 27001 and PCI DSS certified
Independently audited security standards covering how client data is handled and stored, which matters more here than on any other service we run.
Recognized by Google and Adobe
Both platforms certify scandiweb as an analytics partner, and our analytics workflows have been shared by Google.
A dedicated Delivery Manager
One named contact owns your project end to end, so nobody on your side chases four people to find out why a feed stopped.
How a data collection and storage project runs
Every project ends with a working warehouse and documentation your team can maintain. How long it takes depends on how many source systems are in scope, which the discovery stage settles before any build work is quoted.
Discovery
We list every system holding data you care about, who owns each one, and which decisions currently wait on a manual export.
Collection audit
We check what is being recorded today against what is being sold, then document each gap and what is causing it.
Warehouse and pipeline build
The warehouse is set up and each source system is connected on a schedule, with failures alerting rather than passing silently.
Modeling and quality checks
Raw records are modeled into tables your analysts can query, with validation rules that catch bad data before it reaches a report.
Handover and documentation
Your team receives the schema, the pipeline documentation, and training on how to extend the setup without calling us.
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Data platforms running in production
One warehouse merging 120+ stores, ERP, POS, and eCommerce data
500K+
First-party customer profiles
120+
Physical stores merged
5
Markets consolidated
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From partial tracking to unified data across 40+ markets
+75%
Increase in user data captured
+176%
Revenue growth
40+
Markets unified
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What clients say about working with our data team
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Frequently asked questions about data collection and storage
What does eCommerce data collection and storage include?
It covers two halves. Collection is deciding what to record and implementing it across your site, app, and back office so the events captured match real orders. Storage is holding those records in a warehouse you own, joined to your ERP, POS, and CRM data, with retention and access rules applied.
How much does it cost?
Cost depends on how many source systems are connected, how much history is migrated, and whether modeling and governance are in scope. Discovery is quoted separately and produces the full figure for the build, so nothing starts until you have approved a number rather than a range.
Where is our data stored, and who can access it?
In a cloud warehouse under your organization's account, not ours, so ownership never leaves you and nothing has to be migrated if you change agency. Access is granted per role rather than per person, and every connection we build is documented, so an internal team can audit who reaches which table.
How long does a project take?
Discovery takes one to two weeks. A single-market store with a standard platform is usually collecting and storing cleanly within six to eight weeks. Multi-market retailers with POS and ERP feeds take longer, because each source system needs its own connection and validation before it can be trusted in reporting.
Do we need a data warehouse if we already use GA4?
Often yes. GA4 reports on behavior but holds limited history and cannot join its data to your ERP, POS, or margin figures. A warehouse keeps records past those limits and puts behavioral data next to what a customer actually cost and returned, which is where most useful questions sit.
Can you connect our ERP, POS, and CRM as well?
Yes, and that is usually the point of the project. Order history from the platform means little without the margin behind it or the returns against it, which live elsewhere. Each system gets its own connection and validation schedule. Activating the result for marketing is handled by our customer data platform work.
Talk to our team about collecting and storing your data
Tell us which systems hold your data today and what you cannot answer because of it. A specialist replies with what the audit would cover, how long it takes, and what it would cost.
Prefer to talk now? Book a call straight away, or email us at: [email protected]
Not sure where your data actually lives? Start with a data audit.
A specialist maps what you collect today, where it is stored, and what it would take to put it in one place.
