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Reporting is supposed to create clarity. In reality, for many teams it creates work. You pull numbers from one dashboard, export from another, request a dataset from somewhere else, and then spend time stitching it all together into something leadership can actually use. And then you do it again next week. Or next month. Same workflow. Same manual effort. Same time sink.
That’s the problem Analytics Data Export in Unily V21 is designed to solve.
The hidden cost of “manual reporting”
When reporting is spread across dashboards and one-off requests, the work isn’t just in analysis, it’s in collection. Teams spend time pulling numbers, refreshing spreadsheets, and rebuilding the same views on a recurring basis. That makes reporting slower, less consistent, and significantly impacts reporting quality and makes it harder to scale.
And even when teams want to combine Unily intranet analytics with other datasets, they’re often starting from an inconsistent baseline, without a predictable export cadence to rely on.
As intranets scale, this pressure increases. More content, more audiences, more communities, more campaigns, and more demand to demonstrate value with reliable reporting.
A repeatable way to get the analytics you need
Analytics Data Export introduces a workflow to generate one-off or scheduled exports of Unily Analytics data as a ready-to-use CSV, starting with content analytics - the largest and most common reporting need.
Instead of rebuilding the process each time, you set a cadence that matches your reporting rhythm and keep it running.
In Unily V21, you can:
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create a one-off export when you need data quickly
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schedule exports daily, weekly, every 4 weeks, or calendar monthly
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select the fields you want included
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download a CSV that’s immediately usable in spreadsheets—and ingestible into BI tools
This isn’t about creating “more dashboards.” It’s about giving teams a practical reporting workflow that fits how organisations actually operate.
Built to work with spreadsheets and BI tools
The output is intentionally pragmatic. It’s designed for the people who report most often; content owners, comms teams, and platform teams, without requiring technical wrangling. At the same time, it supports importing into tools like Power BI, making it easier to combine Unily analytics with other business datasets for enterprise-wide reporting.
That means Unily can show up in the same reporting ecosystem as other critical data sources, helping stakeholders see a more complete picture.
Why it matters: from extraction to action
With Analytics Data Export, teams can:
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reduce time spent pulling, cleaning, and formatting data
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create consistent reporting cadence for stakeholders
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improve trend visibility and comparability over time
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operationalize reporting workflows that scale as the platform grows
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free up time to optimise content and programs instead of rebuilding reports
Unily V21 Release
Example use cases
- Monthly exec reporting: schedule calendar-month exports that align cleanly to leadership review cycles.
- Weekly content optimization: run weekly exports for content teams to identify what’s landing and what needs improvement.
- Enterprise BI dashboards: import data into Power BI and blend Unily data with other datasets for broader performance reporting.
- Program measurement: track content engagement as part of wider change, engagement, or onboarding initiatives.
Looking ahead
This export framework is built to grow. Over time, broader dataset coverage beyond content analytics will expand the value of exports as reporting capabilities evolve.
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