For years, the enterprise intelligence business has targeted on constructing higher dashboards. Cleaner UIs, sooner queries, extra visible choices. However for many customers, the workflow hasn’t modified: log in, go searching, attempt to determine what issues — after which do one thing about it.
That mannequin doesn’t work anymore.
In fashionable organizations, data isn’t the issue. Distribution is. Timing is. Relevance is. Perception that arrives late, out of context, or buried inside a portal is perception that received’t get used.
It’s time for analytics to cease ready to be found and begin taking part.
We name this shift automation intelligence: a local orchestration layer contained in the analytics platform that connects metrics to motion, and delivers perception when and the place it issues most.
Loads of platforms supply automation options: scheduled exports, fundamental alerts, subscription studies. These remedy for comfort. However they don’t remedy for motion.
True automation intelligence goes additional. It brings collectively actual triggers, curated logic, and multi-channel supply, so perception is generated and distributed on the proper second, to the fitting individual, with the fitting context.
Right here’s what that distinction appears to be like like:
| Widespread BI Automation | Automation Intelligence |
|---|---|
| Time-based schedules | Metric or event-based triggers |
| Static thresholds | Dynamic evaluations utilizing historic context and forecasts |
| Handbook setup per consumer | Central orchestration with enterprise logic |
| One-channel output | Supply throughout Slack, e-mail, APIs, and storage |
| Alerting as a characteristic | Orchestration as a platform functionality |
Automation isn’t about sending extra emails. It’s about decreasing the time from sign to motion — and doing so at scale.
What Automation Intelligence Requires
To make this actual, automation must be constructed immediately into the analytics stack. At GoodData, we’ve structured it round three core features:
1. Set off
Automations start when one thing adjustments, not when somebody checks.
- Metric thresholds
- Interval-over-period comparisons
- Knowledge refreshes
- Exterior system occasions through API or webhook
Each set off is scoped by consumer permissions, workspace context, and filter logic, so outputs are at all times related and safe.
2. Execution
As soon as triggered, enterprise logic runs to outline what ought to be delivered.
- Metric evaluations
- Comparisons or anomaly checks
- Filter and section utility
- Output formatting and preparation
This replaces the necessity for customers to interpret; the perception is pre-evaluated and able to act on, utilizing metrics outlined within the semantic layer to make sure constant, significant context throughout the group.
3. Supply
Outputs go the place work occurs.
- Slack, Groups, e-mail
- Embedded dashboards
- Cloud storage (e.g., S3, GCS)
- Webhooks or downstream instruments
- Inner notification facilities
Supply respects roles, filters, and frequency controls — decreasing noise and surfacing solely what’s essential.
Constructed to Scale, Constructed to Govern
GoodData’s automation framework is already in manufacturing throughout embedded analytics platforms, customer-facing merchandise, and enterprise reporting environments.
With GoodData, we’ve remodeled our embedded analytics expertise for our prospects, giving them tailor-made, actionable insights into gross sales efficiency and buyer engagement. Automation options like scheduled exports assist guarantee our customers get the data they want, after they want it, which is an enormous improve to our analytics suite. — Outfield
Capabilities Out there In the present day
- Scheduled and event-driven exports (PDF, XLSX, PNG, CSV)
- Metric-based and comparative alerts
- Alert-per-attribute (e.g., by area, product, account)
- Supply through e-mail, webhooks (for Slack, Jira, Salesforce, and extra), S3, and embedded dashboards
- Full filter/context consciousness through UDF/WDF
- Workspace-based isolation and permissions
Coming Quickly
- Threshold solutions primarily based on metric historical past
- Narrative summaries for alert situations
- Forecast-based early warnings
- Anomaly detection as set off enter
As a result of automation is native to the platform, it’s tightly ruled, totally programmable, and designed for multi-tenant environments.
Shifting Previous the Dashboard Period
Dashboards play a key function in knowledge workflows, however they assume the consumer is aware of when and the place to look. Automation intelligence flips that mannequin: the system takes duty for detecting, evaluating, and delivering what issues.
This isn’t about AI for AI’s sake. It’s about reliability, timing, and distribution — the true bottlenecks in how knowledge is used right now.
For those who’re embedding analytics into merchandise, supporting inner groups, or scaling knowledge supply throughout enterprise items, automation intelligence isn’t a nice-to-have. It’s the distinction between being knowledgeable and having the ability to act.
Perception mustn’t rely on somebody logging in. It ought to transfer by itself.
That’s the shift. And that’s what we’ve constructed into the core of GoodData. For those who’re able to operationalize analytics and ship worth the second it issues, schedule a demo and discuss to our crew.
