AVIXA's Journey to Enhanced Data Quality
CorrDyn optimized AVIXA's data pipeline from 6 hours to 20 minutes, consolidating 17M records and modernizing their Tableau reporting suite.
6 hours → 20 minutes
Data pipeline refresh time
17M → 2M (optimized)
Records processed
The Challenge
AVIXA, the Audiovisual and Integrated Experience Association, was grappling with significant data quality problems in their Fonteva/Salesforce association management system. A previous data migration had introduced structural issues that compounded over time, resulting in duplicate records, inconsistent field mappings, and unreliable KPI calculations. Their Tableau reporting environment had grown organically to accommodate these issues, with data preparation workflows in Tableau Data Prep that processed over 17 million records — far more than necessary — and took six hours to refresh. The BI team spent more time troubleshooting data discrepancies than delivering insights to stakeholders.
Our Approach
CorrDyn conducted a thorough audit of AVIXA’s data pipeline from source to dashboard. We identified that the bulk of the processing overhead came from compensating for upstream data quality issues rather than actual analytical complexity. Instead of patching the existing Tableau Data Prep workflows, we replaced them entirely with optimized in-database views that handled cleansing, deduplication, and transformation at the source. We consolidated scattered field mappings and KPI definitions into a single governed layer, ensuring that every report drew from the same consistent definitions. We then updated the existing Tableau reports to connect to the new views and trained AVIXA’s BI team on maintaining and extending the system independently.
The Results
The pipeline refresh time dropped from six hours to twenty minutes — a 94% reduction — by eliminating unnecessary record processing and moving transformations closer to the data source. The record set was reduced from 17 million to 2 million by removing duplicates and historical artifacts that had accumulated from the original migration. AVIXA’s BI team regained confidence in their reporting and the ability to respond quickly to stakeholder requests, with a maintainable architecture they could extend without external support.
Frequently Asked
Questions
Our Tableau dashboards take hours to refresh and the data quality is unreliable — what is going wrong?
How do you optimize a data pipeline without rebuilding everything from scratch?
Why hire CorrDyn for a pipeline optimization instead of handling it internally?
Related Work
Similar engagements across our portfolio.
Embedded Analytics Modernization for a Payroll SaaS Platform
CorrDyn built an embedded analytics PoC for a payroll platform, achieving sub-second latency and 6-minute data freshness at 75% lower cost.
Government Reporting Overhaul for a Home Care Platform
CorrDyn stabilized 100 mission-critical CMS reports for a home care company ahead of a hard February deadline, then transitioned to ongoing data team support.
ML Customer Segmentation for an Automotive Dealer Group
CorrDyn built an ML clustering pipeline on Databricks with LLM-powered profiling to segment customers across vehicle brands for a dealer group.
Related Conversations
Podcast episodes that cover the same ground.
Unlocking the Power of Semantic BI with Hashboard
with Carlos Aguilar, Hashboard
Carlos Aguilar explains how Hashboard eliminates multiple sources of truth in analytics through semantic BI, version control, and governance.
Acceleration Without Stabilization: AI and Data Teams
Ross Katz and Jason Bradwell on the 2026 dbt Labs report: why AI accelerates data work while foundations lag and accountability becomes the bottleneck.
What MCP Means for Enterprise Data Strategy
Ross Katz and James Winegar on what 97M MCP installs mean for data teams, why warehouses beat raw source systems for agents, and security gaps.