Fortune 100 technology leader case study

Incorta’s self-service direct data platform enables the Fortune 100 technology leader to manage a complex sales commissions process

  • $500K+

    efficiencies saved annually

  • 2-3

    seconds needed to return queries

THE CHALLENGES

Late insights delay resolution

Before Incorta, it wasn’t easy — or fast — for the Sales Comp, Finance and IT teams at a leading Fortune 100 technology company to accumulate, synthesize and understand the data needed to support specific queries and other manual processes relating to sales commissions. These data-intensive activities were always time-consuming and prone to error. Various systems — including SFDC, Oracle, Snowflake and Kafka — were the data sources. A dependency on IT resources and a few core developers caused weeks of delays when preparing and summarizing data. It took minutes — even hours — to run important reports due to manual data refreshes and unwieldy SQL Server data schemas.

Low replication with the company’s Snowflake data warehouse often resulted in unreliable data. In 2020, a change in the company’s commission data created an explosion of transactions, making a bad situation even worse. The amount of time required to transform data to insights increased to 4-6 weeks, while the average amount of time needed to resolve approximately 3,000 commission disputes ballooned to 40 days. Traditional approaches like increasing staffing were not the right solutions anymore. There was a need for fundamental transformation.

THE SOLUTION

Fast sales commission insights via real-time analytics

Within three short months of implementing Incorta, the Fortune 100 technology leader’s Sales Comp and Finance teams can see instant results for the new — and modified — sales compensation use cases and reports they build while resting assured of the data’s continued security and governance. Incorta can quickly ingest large data volumes and enable complex data transformations at large data loads via Apache Spark.

Team members can access data directly from any application in seconds. By pairing a machine-learning model with Oracle Territory Management (OTM), transactions are automatically credited to sellers, eliminating manual intervention and weeks of delays when preparing and summarizing data.

$500K+ of projected, annualized hourly savings after only three months

Using Incorta, the Sales Credit, Manual Programs and Support teams at a leading Fortune 100 technology initially saved half a million dollars, and adoption is expected to drive additional savings.

Easy access to new data from other systems

With Incorta, non-technical analysts can easily tap data from new sources to gain additional sales compensation insights.

Less time required to resolve commission disputes

By automating its commission dispute resolution process, the Fortune 100 technology leader shrank its Support team’s dispute resolution cycle time by 42% (till date) and its Manual Program team dispute resolution cycle time by 13% (till date).