AnswerRocket Case Studies Enabling Insights at All Levels with Self-Service Analytics

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	Enabling Insights at All Levels with Self-Service Analytics AnswerRocket

Enabling Insights at All Levels with Self-Service Analytics

AnswerRocket

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
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. Read More
About 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. Read More
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. Read More Log in to view content
Contents

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

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 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.

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.

Impact #1	Employees at every level can perform analyses, such as migration reports, acquisition reports, and sales driver analysis.
Impact #2	Teams can spot opportunities and take immediate action, rather than waiting on reports or adding another item to the analytics backlog.
Impact #3	Business users can get answers on their own without the need for business intelligence teams to step in.

Impact #1

Employees at every level can perform analyses, such as migration reports, acquisition reports, and sales driver analysis.

Impact #2

Teams can spot opportunities and take immediate action, rather than waiting on reports or adding another item to the analytics backlog.

Impact #3

Business users can get answers on their own without the need for business intelligence teams to step in.

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Overview

Enabling Insights at All Levels with Self-Service Analytics

Operational Impact