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Enabling Insights at All Levels with Self-Service Analytics
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Industries
- Electronics
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Predictive Replenishment
Services
- Data Science Services
The Challenge
SnapAV, a leading manufacturer and retailer of A/V, surveillance, control, networking, and remote management products, faced a challenge after a series of mergers. The company consolidated multiple data sources into Snowflake and used Tableau to build visualizations for analysis. However, Tableau had a high learning curve, and business users struggled to get answers on their own. As a result, business intelligence teams had to step in to help, slowing down the speed to insight. This process was inefficient and couldn't last.
About The Customer
SnapAV is an industry-leading manufacturer and retailer of A/V, surveillance, control, networking, and remote management products for professionals. The company has 14 brands and employs over 900 people. It operates in over 100 countries. After a series of mergers, SnapAV consolidated multiple data sources into Snowflake and used Tableau to build visualizations for analysis.
The Solution
SnapAV integrated AnswerRocket on top of their Snowflake instance to solve their challenge. With AnswerRocket, product managers, category managers, market teams, and finance teams can simply ask questions in natural language and get fast answers. This eliminates the burden of manual analysis, allowing teams to spot opportunities and take immediate action, rather than waiting on reports or adding another item to the analytics backlog. Employees at every level use AnswerRocket to perform analyses, such as migration reports, acquisition reports, and sales driver analysis.
Operational Impact
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