Central storage with history
Keep information from your systems in one database, with dated history where the source would otherwise overwrite yesterday's state. You can reproduce what a report showed at a given point in time.
Data warehouse
All your data in one place.
We build a data warehouse that brings together information from finance, CRM, bookings, telephony and marketing. With history, shared definitions and checks, so reports, your CRM and AI all work from the same foundation.
pvbcData warehouseVB
SAMPLE DATA · WEEK 24
Many sources. One warehouse.
- InvoicesFortnox06:00 · loaded
- DealsCRM06:05 · loaded
- CallsTelavox06:10 · loaded
- BookingsMuntraMissing · owner notified
Data check: one source missed last night’s load
Reports show data status until the source is back.
- One source for reports, CRM and AI
- History that is not overwritten
- Checks that catch errors early
Sound familiar?
The same numbers for everyone.
Customer details live in three systems and a spreadsheet. The figure in the monthly report does not match the one in the sales meeting, and nobody knows which is right. When someone leaves, the knowledge of how the report was put together leaves with them.
We start with the questions and workflows that need the same foundation. Then we load data from each source on a schedule, match customers, dates and accounts, keep history and add checks that flag when something is missing or out of line. The warehouse becomes the shared base for dashboards, CRM and AI.
From need to solution
What we can build together.
A thoughtful tool starts with your business. These are some of the things we can help with.
Shared definitions
A customer, a deal and revenue should mean the same thing everywhere. We document calculation rules and mappings in one place instead of rebuilding them in every report.
Checks and traceability
Automated checks for missed loads, duplicates and implausible values. Every metric can be traced back to its source and update time.
Access for the right people and tools
Control who sees what. Power BI, custom dashboards, your CRM and AI support read from the same warehouse, with permissions by role, company or location.
Practical examples
Questions we can build answers to.
Illustrative solutions. Data availability, permissions and connections are assessed for each project.
Why do sales and finance report different revenue?
Match customers and deals to invoices in the warehouse and show where the figures diverge: period, VAT, milestone billing or missing links.
What did utilisation look like a year ago?
Store aggregate snapshots of bookings and capacity every week. Compare periods even when the source system only shows today's state.
Can we stop maintaining the same list in three places?
Move recurring lists and mappings from spreadsheets into the warehouse. A change is made once and flows through to reports, CRM and email updates.
A clear way of working
Close communication. Clear delivery.
You should know what we are building, why we are building it and what happens next.
- 01
Understand
We start with your key questions and map the data sources, access and metrics.
- 02
Define
We define a first delivery. You receive a clear proposal covering scope and price.
- 03
Build together
We connect the data, validate calculations and build views for you to try throughout the project.
- 04
Handover & follow-up
We plan onboarding, data checks and maintenance. New questions can shape the next step in your solution.
Good to know
Questions before the first step.
Every business is different. We help you work out what makes sense for yours.
Ask your questionDo we really need a data warehouse?
Not always. A single report from one system can often read straight from the source. A warehouse pays off when several systems need combining, when history must be kept or when the same calculation would otherwise be rebuilt in several reports. We start with the smallest part that solves a concrete problem.
Where is our data stored, and who owns it?
You own your data. We choose storage and hosting with you based on your requirements for location, access and cost, and document what is stored, for how long and who can reach it.
What happens to our existing systems?
They stay. The warehouse reads from your systems through an API, a database connection or an export and does not replace them. You keep working as usual while the data is brought together alongside.
Start with a conversation
Talk to ViktorWhat would make the biggest difference?
Tell us which systems you use and what you want to get a better grip on. We will help you define a concrete first step.