Services / Analytics & BI
Service · Analytics & BIDashboards leadership actually uses, up to date and with every number traceable to its source. One dashboard for all your clients, each seeing only its own data, and reports that build themselves.
from project kickoff to published regulatory reports, which now build themselves. Financial group.
The dashboard of a contact center that serves many companies: the same one for all of them, up to date, and each one sees only its own calls.
Monthly reports are built by hand and arrive too late to inform any decision.
Costs and operations only show up at month-end close, when there's nothing left to do.
Each metric is calculated differently depending on who builds the report.
Leadership and each department see their metrics for the day, calculated once and the same way.
A single dashboard serves all your clients or departments, and each one sees only what's theirs.
Every data load goes through checks; if a number doesn't add up, it's set aside and flagged before it reaches the dashboard.
The reports you build by hand in Excel today, including those for the regulator, now build themselves and arrive where you already work.
Anyone asks a question as they would in a chat and gets the answer in a table, with the source of every number.
Cloud spend and operating metrics are visible every day, not at month-end close.
A financial group used to build the reports it submits to its regulator by hand, in Excel. Today an automated generator, installed on its own server, builds them, and the dashboards update every day in the app they were already using.
Real cases, described by industry. Client names are kept confidential.
Each client sees its answered, abandoned, and missed calls, how long each call lasts, and its service level, by hour, campaign, and agent. Every metric is documented back to the source data.
Its reports on new sales of loan-linked insurance used to be built by hand in Excel. Today an automated generator builds them according to the regulator's rules, and the dashboards update every day in the app they were already using.
We built dashboards into its product, along with the ability to ask the data questions the way you would ask a person. Its clients don't need another tool.
Anyone asks, just as they would in a chat. The agent first checks what the person asking is allowed to see, then answers in a table, with its findings and the source of every number.
Within weeks, you know where the value is. From month one, you see it.
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