Capabilities Data entry and disaggregation

Type a number at any node. The platform splits it, and remembers how.

The pivot is a data-entry screen as well as a view. A planner types a quarter's target at a region and the platform disaggregates it to the countries and the months by a chosen method: last year's mix, equal shares, a time profile, or weights kept as master data.

EMEA · Q4 plantyped: 12,000 unitsGermany5,400 units · 45%France3,000 units · 25%Italy2,400 units · 20%Nordics1,200 units · 10%Proportionallast year's actual mixEqual3,000 eachTime-phasedthe season's week profileWeightedweights as master datalocked cells are honoured; every split is written to the audit trail with the method, the weights and the person who typed the parent
A number typed at the parent, split to the children by the chosen method; the method and the weights go to the audit trail.
4
split methods: proportional, equal, time-phased, weighted
product
2
directions: disaggregate down, aggregate up
product
100%
of entries and splits audited with method and weights
product
0
spreadsheets needed to allocate a target
product
Step by step

From a typed target to governed values

Type at a node12,000 units at EMEA for Q4, in the pivot cell. The cell shows it is an aggregate and asks for the method.
What you see

Entering a Q4 target and watching the split

Q4 target · units · version plan-2026-Q4 · method: proportional to 2025 actualsentry modelocks: Nordicsweights: 2025 actuals
nodeOctNovDecQ4
EMEA4,0803,9603,96012,000
Germany1,8361,7821,7825,400
France1,0209909903,000
Italy8167927922,400
Nordics4083963961,200

The typed cell is outlined; the split cells are italic until saved; Nordics is locked, so its share stays and the other three absorb the change. Hover a split cell to see the weight that produced it.

Split methods

Which one to use

MethodHow the children get their shareWhen it fits
Proportionaleach child's share of a reference measure (last year's actuals, current forecast, headcount)targets that should follow the current mix
Equalthe same value to each childnew products or regions with no history
Time-phaseda profile from the calendar or a reference measure spreads a value across weeks or monthsseasonal demand, promotions
Weightedweights kept as master data on the hierarchy node, versioned and approvedallocation keys that finance owns

Methods combine: a weighted split across countries, then a time-phased split across weeks. The audit entry records both.

Why entry belongs here

Governed numbers, from the start

Planning tools own disaggregation; master-data products own governance. Because the entry grid sits on the bed, the typed numbers are governed values from the first keystroke: survivorship ranks them against feeds, rules check them, security limits who may enter at which node, and the audit trail keeps the intent (who typed what, at which node, with which method), which planning tools usually discard.

Weights are master data too: an allocation key changes through a versioned hierarchy attribute with an approval, and every split after the change uses the new key.

Governedsurvivorship · rules · security · audit
Intent keptnode, value, method, weights, person
Weightsversioned master data with approval
Locksper cell, per version
Terms on this page

DisaggregationSplitting a number entered at a parent node to its children by weights, equal shares or a time profile.
AggregationRolling numbers up a hierarchy to a parent node.
Time profileThe share of a period that each week or month gets, from the calendar or a reference measure.
LockA cell that keeps its value while others absorb a change.
Questions

Can a planning system read the entered numbers?

Yes, through the API and SQL, as a version; the Backbone's planning integration loads them into the target's model.

What stops two people overwriting each other?

Entries are per version with cell-level history; a conflict shows both values and asks; the audit trail keeps both.

Can weights come from a rule?

Yes: a weight can be a calculated measure (share of revenue), recomputed on a schedule and versioned like an entered weight.

See your first domain built on your data

Bring two systems that hold the same customers, suppliers or materials. In one working day we connect them, run the match on live rows, review the queue with your steward and publish the first golden view with its API.