Ask a utility who its highest-value customer is and you’ll get several answers, because the customer lives in several systems. Billing knows the account. Metering knows the consumption. The service desk knows the last three complaints. The web and mobile apps know the logins; the campaign tool knows the last email opened. Each is right about its slice and blind to the rest. There is no single customer — only fragments that happen to share a name.
A Customer 360 view is the work of turning those fragments back into one record: a uniform customer master that every business unit reads from, spanning meter-to-cash, billing, and service, and stitched across every channel the customer actually uses — web, mobile, voice, email, and campaigns.
It’s a master-data problem first
The temptation is to build a dashboard. But a dashboard on top of seven disagreeing sources just renders the disagreement faster. The real work is upstream: resolving identity across systems, reconciling conflicting attributes, and maintaining one master that stays current. Get that right and the “360 view” is almost a side effect. Skip it and every downstream model inherits the mess.
What a single view actually buys you
Once the record is whole, the questions change from what happened to what’s next:
- Segment by journey, not just by tier — understand which engagement journey a customer is on and what step they’re at, rather than sorting them into static buckets.
- Anticipate the next interaction — predict the most likely next conversation so service and marketing meet the customer instead of chasing them.
- See the whole customer — demographic, economic, and credit context alongside consumption patterns, payment behavior, and experience across web, mobile, voice, and campaigns.
That last list isn’t a reporting wish; it’s the raw material for every customer use case that follows — segmentation, churn, next-best-action, profitability. They all assume a single view exists. Most programs skip straight to the model and discover, months in, that the foundation was never poured.
A customer 360 isn’t glamorous and it rarely demos well. But it’s the one capability that makes the rest possible: you can only influence customer behavior once you can see the customer whole. Build the master record, keep it current, and the sophisticated work finally has something solid to stand on.
The interactive demo behind this piece.
Interval Usage Analytics
Interval usage across demographics to surface trends, anomalies, and outliers — synthetic data.