All-in-one management software, or a data layer
Music management suites and music data platforms are sold to the same buyer and solve opposite problems. How to tell which one your week is actually short of.
Danny Angove
Co-founder, Backline · 17 July 2026 · 4 min read
In short
- An all-in-one suite reduces admin. A data layer reduces uncertainty. Both are real problems and they are rarely the same week's problem.
- If your bottleneck is settlements, splits, contracts and who owes what, admin software wins and analytics depth is a bonus you will not use.
- If your bottleneck is explaining what happened and deciding what to do next, a data layer wins and no amount of task management substitutes.
- Most all-in-one platforms license their performance data from a catalogue provider, so the analysis you get is that provider's feed with your paperwork next to it.
- Buying both is a legitimate answer at a certain size. Buying one and expecting it to be the other is the mistake that wastes a year.
Two products keep landing in the same inbox. One says it replaces your spreadsheets, contracts, settlements and task lists. The other says it tells you what is happening across streaming, social, advertising and ticketing, and answers questions about it.
They read as competitors because they are aimed at the same person, and they are not. Working out which one you need takes about ten minutes if you are honest about where your week goes.
The two bottlenecks
Two weeks, two bottlenecks
IllustrativeWrite down what you did last week, in half-hour blocks, and sort each block into two piles. Pile one is administration: chasing settlements, reconciling splits, sending contracts, updating a calendar, working out who has been paid. Pile two is judgement: what happened to the release, why did that market move, is the tour on pace, where does the next chunk of budget go, what do I tell the label.
Whichever pile is bigger is the product you should buy first.
This sounds too simple, and it holds up. The teams I see disappointed by an all-in-one suite were mostly drowning in pile two and bought a solution for pile one, which then added data entry. The teams disappointed by an analytics platform were drowning in pile one, and found themselves with better charts and the same paperwork.
What each one is genuinely good at
An operations suite earns its keep by making money legible. Settlement reading, royalty splits, tour costs, invoices, deal terms, tasks against a release plan. Octve, for example, describes a platform covering booking, settlements, royalties, contracts and financial reporting, priced per artist or per roster. Union AIA describes release management, royalty tracking, rights administration and tour planning, with AI assistants across those workflows.
When that work is your bottleneck, having it in one place is transformative in a way analytics is not. Nobody ever failed to renew because a chart was missing a data point. Plenty of small companies have lost real money to a settlement that nobody read properly.
A data layer earns its keep by making performance legible across sources that do not talk to each other. It is the difference between four browser tabs and one view where ad spend, streams and ticket sales share a date axis. That is only possible when a system holds a project's own authorised connections rather than a public crawl, which is a specific architectural choice.
The tell: where does the performance data come from?
If you are evaluating an all-in-one platform, find the integrations page and see whose analytics it uses. It is common and reasonable for these products to license a catalogue provider's feed: Octve lists a Soundcharts integration for discography, Union AIA lists Viberate and Chartmetric.
That tells you two useful things. First, the performance data is as deep as that provider's public feed, no deeper, because private sources like your Meta ad account or your box office are not in a public feed. Second, the join between your numbers and your paperwork is loose: the platform can show both, but it did not compute one from the other.
None of that is a criticism. It is a scope. What you should not do is assume the presence of a chart means the product can answer a cross-source question.
What each one cannot do
What each product cannot do for you
| Operations suite | Catalogue tracker | Project data layer | |
|---|---|---|---|
| Read a settlement | Yes | No | No |
| Track royalty splits | Yes | No | No |
| Compare an artist you do not represent | No | Yes | No |
| Monitor a playlist you have no relationship with | No | Yes | No |
| Join your ad spend to your ticket sales | No | No | Yes |
| Answer questions about your own connected data | Partly, via an imported feed | Public sources only | Yes |
| Produce a monthly performance report you can send | Financial reporting | Chart exports | Yes |
The row worth staring at is the join. A question like "did the 4,000 we spent in Manchester in March show up in the box office" requires ad spend and ticket sales in the same system, on the same dates, for the same project. A suite that imports a public streaming feed cannot answer it. A tracker built on crawled public data cannot answer it either, because your spend is not public. It needs both private sources connected to one project.
That question, and its cousins, is what we built Backline for. It is also why we do not sell contract management: the same focus that makes the join possible makes us useless for a settlement.
A reasonable sequence
For a manager or small label starting from spreadsheets, the order that seems to work:
- Fix money first if money is messy. Nothing else matters if the splits are wrong.
- Add a data layer when you are being asked to explain performance more than once a month, or when a tour is big enough that pacing matters.
- Add a catalogue tracker when you are actively signing or scouting, because that is the only one of the three that can tell you about artists you do not represent.
Plenty of teams run two of the three. Very few need all three before they have five projects.
The uncomfortable version
If your week is mostly admin and you buy analytics, you will use it for a fortnight and stop. If your week is mostly judgement and you buy admin software, you will keep the spreadsheet.
Look at the diary honestly, buy for the bigger pile, and revisit in six months.
Common questions
- Is an all-in-one music platform better than separate tools?
- It depends which bottleneck you have. All-in-one suites are strongest on administration: settlements, royalties, contracts and tour paperwork. They are weaker on cross-source performance measurement, because most of them import a public analytics feed rather than connecting your own private sources such as ad accounts and box office.
- Do I need both management software and an analytics platform?
- Many teams eventually run both, and few need both before around five active projects. The order that works is to fix money first if the money is messy, add a data layer once you are explaining performance more than monthly, and add a catalogue tracker only when you are actively scouting or signing.
- Why do all-in-one platforms integrate Chartmetric, Soundcharts or Viberate?
- Because their own data model is documents and transactions. Building a performance time series across every platform is a separate and expensive acquisition problem, so licensing a catalogue provider's feed is faster. The consequence is that their analytics goes exactly as deep as that public feed.
Sources
- 1OCTVE, Reviewed August 2026. OCTVE product and pricing
- 2Union AIA, Reviewed August 2026. Union AIA platform overview
Danny Angove
Co-founder, Backline
Danny Angove is a co-founder of Backline. He works on the music business side of the platform: what managers, labels and independent artists actually need to see, and which numbers are worth arguing about.
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