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Blog · Alternatives and comparisons · Telecoms and connectivity

How to choose analytics software for telecoms and connectivity: questions, data and traps

How B2B telecoms providers should choose analytics software: start from the questions, check the data you hold, ask vendors ten questions, avoid the traps.

The short answerStart from the questions B2B telecoms providers ask every month, not from features. List the exports you already hold, ask every vendor what it needs before the first answer and whether its AI calculates figures, and check that every total reconciles. Then compare the first-year cost, all in.

Most buying decisions for analytics start from a feature list. For B2B telecoms providers the better start is the questions that come back every month, the files already on hand, and the traps that make a tool look right in a demonstration and wrong in the first board meeting.

Start from the questions

The question The measure behind it
Where does the estate record disagree with the bill? Estate currency
Which services are billed but ceased, or live but unrecorded? Orphan and ghost services
How many of each customer's sites do we serve? Site penetration
Which sites hold one product where similar sites hold three? Product attach per site
Is every renewal in the window owned and quoted from a current estate? Renewal calendar coverage
How long from order to activation, and where does it stall? Order to activation time

Any tool you consider should answer these from your data, not from a sample. Ask to see it.

The data you already hold

  • Estate record
  • Billing file
  • Customer site list
  • Contract file
  • CRM
  • Order and provisioning system
  • Usage data

If a vendor needs a warehouse built before it can read these, count that in the cost and the time.

Ten questions to ask any vendor

  1. What does it need in place before the first answer? A warehouse, a data model, a modelling language, a partner? Ask for the list and the typical weeks.
  2. Who does the setup, and who maintains it? Your team, the vendor, or a partner, and what that costs after year one.
  3. Does the AI calculate figures, or choose from computed ones? A language model that writes queries or code can produce a plausible wrong number. Ask what it is allowed to do.
  4. Does every total reconcile to a control figure? Ask to see a bridge that does not sum and what the product does about it.
  5. Can every figure be opened to its rows? An answer nobody can check becomes a debate in the meeting.
  6. What does it cost in the first year, all in? Licences, consumption, implementation, modelling and training, not only the seat price.
  7. How does data arrive, and who holds credentials? A file your systems already export, a scheduled drop, or a live connection with the vendor holding keys.
  8. What happens to the data, and where is it stored? Residency, retention, deletion, and whether names can be replaced with identifiers.
  9. Can we see it on our own data before we sign? A demonstration on a sample dataset tells you little about your own.
  10. What does the tool do when it cannot answer? It should say so. A confident guess does more harm than no answer.

Checks specific to telecoms and connectivity

Ask whether the tool enforces these, and what it does when they fail:

  • Estate: Estate services = matched + ghosts; billed services = matched + orphans
  • Sites: Customer sites = served + unserved + unknown
  • Contracts: Contracts ending = renewed + lost + in negotiation + not yet contacted
  • Orders: Orders = activated on time + activated late + open + cancelled

The traps

Estate currency. Reconciling estate to billing is done at renewal, in a hurry, when it costs most.

The renewal calendar. A thirty-six month contract signed by a predecessor ends next quarter and is on no one's list.

Activation delays. Owned by delivery, invisible to sales, remembered by the customer.

Measures to leave out

Number of connections. A broadband line and a gigabit circuit counted alike.

Orders taken. Activated, on time, is what the customer experiences.

Average revenue per account, alone. Penetration and attach explain it.

A scorecard

Criterion Weight Tool A Tool B Covirage
Answers our six questions on our own data High
Time to the first answer High
Needs a warehouse or data team Medium
AI calculates figures, or only explains computed ones High
Every total reconciles; figures open to rows High
First-year cost, all in Medium

Where Covirage fits

Covirage reads the exports above, answers the questions with figures our tools compute and check, and is set up for you within a week. See analytics software for telecoms and connectivity compared, AI analytics for telecoms and connectivity and Covirage for Telecoms and connectivity.

For the measures in full, with formulas and exports, read Sales KPIs for B2B telecoms providers.

Questions people ask

What should B2B telecoms providers look for in analytics software?

The answer to their own questions, from the data they already hold, with every figure reconciled. Features matter less than what the tool needs before the first answer and who maintains it.

Is a BI suite enough for B2B telecoms providers?

It can be, with a warehouse and someone to build and maintain the model. Without them, the dashboard shows what changed and the explanation is still an analyst's job.

What data do B2B telecoms providers already hold?

Usually: estate record, billing file, customer site list, contract file, crm, order and provisioning system. Most analytics questions in this industry can be answered from those exports.