Dashboards don’t break on their own—bad data does. Whether it’s a missing field, stale table, schema drift, or silent pipeline failure, these upstream issues silently sabotage your analytics. By the time a BI analyst notices something’s off, it’s already too late.
Acceldata helps you shift left and monitor proactively. We surface issues before they hit the dashboard, enabling data teams and BI users to trust their insights again. Here’s how.
1. Shift-Left: Catch Data Quality Issues Before They Hit BI Tools
Problem: Most dashboards rely on assumptions - the data is fresh, complete, and accurate. But if your pipelines silently drop rows or introduce schema mismatches, your visuals will mislead.
Acceldata works differently than most data observability tools by embedding data quality checks directly into your pipelines—so issues are caught upstream.
How Acceldata Helps:
- Runs automated data quality checks at every stage—source, pipeline, warehouse.
- Detects nulls, duplicates, mismatches, and rule violations before they corrupt dashboards.
- Pushes data quality scores into Power BI, Tableau, and other tools so analysts can see quality context alongside metrics.
Acceldata Advantage: Unlike reactive tools, Acceldata builds observability into the start of your data journey—so bad data never gets a chance to hit your BI layer.
2. Deep BI Tool Integration: Seamless, Reliable Analytics
Problem: Most observability platforms treat BI tools as black boxes. They don’t provide visibility into whether the data in your dashboards is trustworthy or not. Acceldata integrates directly with leading BI platforms like Tableau, Power BI, and Looker—giving analysts the data context they need right where they work.
How Acceldata Helps:
- Pushes data quality indicators and freshness indicators directly into BI dashboards.
- Shows pipeline and lineage metadata so analysts understand where data came from and how it got there.
- Enables a shared view between analysts and engineers, fostering transparency and speed.
Acceldata Advantage: We meet analysts where they are—in the BI layer—with integrated trust signals and data context that other tools can’t provide.
3. Flexible Deployment: ScaleOut or PushDown to Speed Up Your Dashboards
Problem: While many observability platforms force you into a one-size-fits-all approach, Acceldata gives you the flexibility to choose the right execution model for your enterprise. Whether you prefer in-warehouse execution for latency savings or a scale-out model for workload isolation, we meet you where your infrastructure lives.
How Acceldata Helps:
- Pushdown is for enterprises with moderate data volumes.
- ScaleOut is optimized for large-scale and multi-cloud workloads.
- Allows you to tailor execution based on workload type, data locality, and cost/performance constraints.
Acceldata Advantage: Our architecture adapts to your performance and cost needs. Unlike rigid platforms, Acceldata offers a flexible deployment model - Pushdown for moderate datasets and ScaleOut for heavy workloads. It’s your data, your environment, your call.
4. Beyond Alerts: AI-Driven Anomaly Detection and Root Cause Analysis
Problem: A spike in returns, a drop in sales, or a strange shift in a revenue metric—your dashboard flags it, but offers no explanation. A dashboard alert is only half the story. Many tools stop at anomaly detection. Acceldata goes further with AI-powered root cause analysis that reveals exactly what broke, where, and when.
How Acceldata Helps:
- Uses AI/ML-based anomaly detection to catch unusual patterns across metrics, dimensions, and time windows.
- Pinpoints the root cause—whether it’s schema drift, a stale source, or an upstream change in volume or logic.
- Supports human-in-the-loop workflows, so analysts can train and improve detection over time.
Acceldata Advantage: You don’t just detect problems—you solve them faster with actionable root cause visibility.
5. End-to-End Observability: Infrastructure and Pipeline Monitoring
Problem: A job silently fails. A transformation is skipped. A downstream dashboard shows zeros. Without pipeline observability, debugging is slow—and the damage is done. Acceldata gives you full observability into jobs, transformations, schedules, and system health—so issues are detected before they become data quality problems.
How Acceldata Helps:
- Monitors pipeline reliability across platforms like Airflow, Databricks, Snowflake, and other cloud warehouses.
- Alerts on job failures, retries, delays, out-of-SLA runs, and more.
- Visualizes the health of your data flows, so you can pinpoint root causes.
- Tracks schema drift, transformations, and lineage across your data stack.
Acceldata Advantage: We unify infrastructure, pipeline, and data quality observability—so you’re never blindsided by a broken dashboard again
Don’t Just Monitor Dashboards. Bulletproof Them.
Dashboards break when observability ends at the warehouse. Acceldata gives your BI teams and data engineers a shared view into data health, pipeline reliability, and system performance—so nothing breaks silently again.
Ready to shift left and take control of your dashboards?
Book a demo to see how Acceldata powers analytics you can trust.
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