Your data lake is live.
Your marketing data isn't.
BI Hub answers the questions your CFO and CMO ask every month, from budget to sales, in one live view by brand, medium and state.
Your marketing data lake has
a blind spot
And other tools don't fix it either.
USING POWER BI OR A DATA LAKE?
Your dashboards show what reached the lake. Approvals, proof of execution and vendor bills never did, so the numbers stop at spend.
USING OTHER TOOLS?
Most tools see one part of the spend. BI Hub reads the whole chain, from budget to payment to sales.
Compare Brandintellé →The cost of
poor marketing visibility
Monthly review
Spend is in one report, approvals in email and sales in another file, so the meeting argues about numbers instead of acting on them.
Decisions on gut feelCFO and CMO bring different numbers
Finance counts what was billed, marketing counts what was planned, and nobody can show how one turns into the other.
Two versions of the truthNext year's plan built on last year's Excel
With no clean record of what worked, the new budget copies last year's split and adds a percentage.
Budgets repeated, not improvedSee BI Hub
in action.
Ten questions.
One hub.
Every campaign,
from plan to paid.
Planned, committed, executed, verified, billed and paid for every campaign, with spend that has no proof or no bill yet flagged.
Know what's left
before you commit it.
Outlook, approvals, commitments, provisions and payments by business unit and budget head.
Right rates.
Proof it ran.
Spend by medium and vehicle against benchmark rates, and how much is backed by independent proof.
Every zone on pace,
every dollar tied to sales.
Budget from head office to zones, area offices and dealers; pace against seasonal phasing; dealer co-funding; cost per sale.
Spend in line
with the business.
Each brand's share of spend against its share of sales, with over- and under-invested brands flagged.
Which dollars
moved sales.
Spend vs sales by state, the inquiry-to-retail funnel, and ROI by medium.
ROI comes from a response model and is shown as an estimate, not a fact.
Findable, in stock,
priced right.
Sales by platform, retail media return, share of search, out-of-stock by city, and discount depth.
Marketplace data comes in by upload until the Amazon and Flipkart connections go live.
What buyers say
before they buy.
Four layers from your social listening data: decision triggers, objections, unmet needs, and the phrases that signal intent to buy.
Pay market rates,
to vendors who deliver.
Vendor concentration, rates against market median rates, on-time delivery vs proof, billing disputes, and payment ageing.
See where approvals stall
and controls break.
Time at each stage against its deadline, who holds the item, control exceptions (PO after execution, split under approval limit, duplicate invoice), and the audit sampling queue.
Five data streams.
One governed view.
- 1Budget & approvals
- 2Sourcing & POs
- 3Execution & proof
- 4Invoices & payments
- 5Sales & market data
BI HubFour of these streams are created inside Brandintellé, so they never reach your data lake on their own.
Sits above your data lake.
Not replacing it.
- TV monitoring data uploaded by your agency (e.g. BARC in India)
- Sales and dealer data
- Social listening exports
- Marketplace data
Brandintellé does not provide monitoring data.
In your next review,
no one says ‘let me get back to you’
Enterprise-grade security. Built in
Impact & Analytics is where the chain completes.
Every dollar tracked from the moment it’s budgeted to the moment it moves a market.
Frequently asked
questions
Can I use BI Hub without the other modules?
Yes. Data from outside Brandintellé comes in by upload, so BI Hub works on its own.
Does BI Hub prove ROI?
It estimates it with a response model. Estimates are labelled as estimates, not stated as fact.
Which data does it read?
Google Ads, Meta, DV360 and SAP through live connections. TV monitoring data uploaded by your agency (e.g. BARC in India), sales and dealer data, social listening exports and marketplace data come in by upload. Brandintellé does not provide monitoring data.
Does it replace Power BI or our data lake?
No. It feeds them governed marketing data.
Does it cover social listening?
Yes, from your listening tool's exports. It is not an online reputation management tool.
How is national spend mapped to states?
Through a market master that spreads national buys across states by agreed weights.
How long is setup?
Typically 2–3 months, depending on your data sources.