A finance team that has consolidated every internal system still faces three questions its own records leave open. Each one decides where a number is heading, which is what a bearing means here.
01
Consolidated and internal
Bringing the ledger, the sales file, the price book, and the plan into one platform removes the reconciliation problem and leaves the coverage problem in place. Every source describes a transaction the company was party to.
One source of truth, one side of the market.
The competitor's transactions absent by construction.
02
Direction read from level
A figure trending upward reads as a direction. A trend is a sequence of closed periods, and the mechanism that produced it can reverse in a quarter the series has yet to record.
Direction inferred from a trailing series.
The turn arriving after the report.
03
The regional average
A group platform reports the way the entity is organized, so markets roll into regions. Two countries moving in opposite directions produce a stable regional line, and the platform is accurate at the level that conceals the movement.
Sena is the consumer input a finance platform has zero sources for: recorded purchase, the reason behind it, and the size of a change, market by market.
The units
Purchase from outside the company
The purchase itself covers items the company sells zero of, which gives lost share somewhere to go.
Units recorded beyond the own range.
Lost share with a destination.
The cause
The reason recorded
The same shopper states what settled the choice, so a movement arrives with a cause.
Purchase and reason on one shopper.
A movement that carries a cause.
The level
Sized per market
Market and capture week sit on every figure, so a consolidated line breaks into the countries under it.
A financial intelligence platform brings a finance team's numbers into one place and reports them against each other: actuals against plan, margin against item, cash against cycle, and market against market.
What the bearing read returns
Output
What it settles
Where it goes wrong
Market purchase
What consumers bought, per market.
Approximated from shipment data.
The reason
Why the choice was made.
Inferred from price and promotion.
Competitive position
What the alternative was.
Absent from internal records.
Change response
How many shoppers would move.
Modelled from historical elasticity.
Four inputs behind the bearing
The bearing arrives from four collected inputs, delivered per market into the platform already running.
Input
What it answers
Receipts
What was bought, at what price, in which market.
Store captures
The competing set standing there at the point of sale.
Geo-verified photos
The shelf as it stood, dated and placed.
Stated preference
What decided the purchase, and what would reverse the decision.
The finance team's own numbers stay where they are. Ledger extracts, the sales file, price records, and the planning model connect through 250+ integrations, so an internal figure and an external one report on the same line.
What internal systems omit
Three questions sit outside any consolidation, however complete.
The competitor's units. Those transactions live in the competitor's system.
Availability at the moment of choice. A shortfall reads as weak demand where the shelf was empty.
The consumer reason. It exists where somebody asks a shopper, and in zero places besides.
Direct from real consumers
Shared under explicit consent
Real people share what they buy and prefer, under explicit consent. Sena captures it directly at the source, so every figure traces back to where it came from whenever a number comes under question.
Real people, real consent Zero-party data straight from the source Traceable and verifiable
Sena for financial intelligence
Ask Sena the bearing
Every answer arrives with its market and its capture week, which is the property that lets an external figure sit beside an audited internal one.
Flat revenue · 6 markets
AP
The platform shows revenue flat across six markets. Which markets are moving underneath that?
Recorded purchase holds flat in four markets and moves in two, in opposite directions. In one, the category grew while the tracked item held units, so position weakened inside a line that reads stable. In the other, the item gained units, and shoppers named a competitor delisting as the reason, which photographs from that market corroborate across 6 of 10 captured outlets. The stated response indicates roughly a seventh of category shoppers there would revert once the competing item returns, so the gain carries a stated expiry.
Position read: 6 markets
Basis: company vs category
Markets flat
4 of 6Markets moving
2 of 6Delisting confirmed
6 of 10Would revert, sized
≈a seventh
4 sources · captures dated this cycleOpen the captures
Which market weakened on position?When does the competing item return?Open the captures behind that delisting.
Add data sourceCreate presentation
4 sources · captures dated this cycle · Open the captures ↗ · figures in this exchange are illustrative
AgainstThe category
Position against the market
Company units read against category units, so a flat line separates from a flat market.
Both sides, one line
OpensOn shoppers
The reason on the record
A movement opens onto the shoppers who state what caused it.
Lineage to people
SizedIn shoppers
The reversal anticipated
Stated response sizes how many shoppers would move back and under what condition.
A consolidated platform holds one side of every market it reports on
The competitor's transactions and the shopper's reason appear in zero rows such a platform can reach. Sena delivers the other side: purchase recorded from outside the company, the reason behind it, and the size of a change, each carrying its market and its week.
Consumer activity
Selection and amount paid enter as one record, covering items the company itself sells zero of.
Computer vision
Images from real outlets establish the competing set on the shelf, so measured demand replaces an availability assumption.
Zero-party data
Signal arrives from the consumer network under explicit consent. A choice is explained by whoever made it.
Connect the finance systems
Ledger extracts, the sales file, price records, and the planning model connect over 250+ integrations, so external and internal figures report together.
Trace every answer
Market, week, and source shoppers are attached to each figure, so an external number withstands the questions an audited one meets.
From files to databases
Prior reporting cycles beside sales history and price records, scan by scan.
One mechanism, delivered per market into the platform already running. Each step is documented, which is what lets an external figure enter a governed reporting model.
Step 01 · Collect
Collect
One consumer reports the purchase and the reason for it, which is what binds a state to its cause.
Explicit consent on every capture
One consumer, purchase and reason
Step 02 · Deliver
Deliver
The read enters the platform already running over 250+ integrations, and the two sides report together.
Zero new stack required
Both sides on the same line
Step 03 · Size
Size
A stated change becomes a per-market shopper count, which is the input a scenario runs on.
Most financial intelligence platforms are complete about the company and quiet about the market. Sena supplies the market half into the platform already in place.
The walkthrough takes one revenue or share line from a real reporting pack, sets company units against category units in the markets inside it, and traces one movement to the consumers who caused it while the finance team watches.
What a walkthrough covers
01A regional line split per market
02Company units against category units
03The stated reason behind a movement
04One reversal sized by stated response
Talk to the Rwazi team
Name the reporting line and the markets under it, and we will deliver the market half beside it.
FAQ
Financial intelligence questions
01 What is a financial intelligence platform?
A platform that brings a finance team's numbers into one place and reports them against each other: actuals against plan, margin by item, cash by cycle, and market against market. Its value is the join across systems. Its boundary is ownership, since every source it consolidates describes a transaction the company itself took part in.
02 What is financial intelligence?
The phrase carries three meanings. Commercially it means the systems a finance function uses to assemble and read its numbers. In regulation it means a state body analyzing suspicious transaction reports. In management education it means fluency with financial statements. Search volume for the bare phrase belongs mostly to the second and third.
03 What is a financial intelligence unit?
A state body that receives, analyzes, and disseminates reports of suspicious financial transactions to counter money laundering and terrorist financing. It is a regulatory function and shares only the phrase with the commercial platform sense.
04 What does such a platform leave out?
Three things, all structural. What the consumer bought instead, since the company transacted zero of those units. Why the choice was made, since a transaction records a selection and holds zero fields for its reason. And what a change would do, since that counterfactual sits with consumers over any historical record.
05 Why does consolidation leave a coverage gap?
Because consolidation solves reconciliation and leaves scope untouched. Bringing every internal system into one model produces one version of the company's own activity. The market the company competes in generated transactions outside its own systems, and those stay outside however complete the consolidation becomes.
06 How can external data enter a governed finance model?
Through the same integration layer the internal sources use, with provenance attached. Each external figure carries the market and the capture week it came from and traces back to the consumers who supplied it. That lineage is what lets a market number sit beside an audited one in the same report.
07 Why is regional reporting misleading?
Because entities are organized by region and consumers buy by market. Two countries moving in opposite directions produce a regional line that reads stable, so the platform stays accurate at exactly the level that absorbs the movement. Reporting at the market level is what surfaces the country that changed.
08 What is the difference between this and financial analytics?
Financial analytics is the measurement discipline, and the platform is where that measurement is assembled and served. Analytics defines what gets measured and how a result decomposes. The platform holds the sources, the model, the reporting, and the lineage.
09 Can a market claim be traced to evidence?
Yes, where the source records it that way. A consumer read carries the market, the capture week, and the shoppers behind each figure, so an external claim opens onto the same kind of trail an internal figure has. That property matters most for statements that reach investors or a regulator.