AnswerRocket
Overview
|
HQ Location
United States
|
Year Founded
2013
|
Company Type
Private
|
Revenue
$10-100m
|
|
Employees
51 - 200
|
Website
|
Twitter Handle
|
Company Description
AnswerRocket is an innovative data intelligence company, revolutionizing analytics with AI-driven solutions for businesses seeking actionable insights and informed decisions.
Supplier missing?
Start adding your own!
Register with your work email and create a new supplier profile for your business.
Case Studies.
Case Study
Igniting Business with Data Analytics
SnapAV, a global supplier of electronic equipment, was facing a challenge with their business intelligence methods. The process of studying an aspect of their business required the involvement of a technical analyst, which could take hours or even days. This was a significant hindrance to the company's culture of curiosity and continuous improvement. The delay in obtaining insights often discouraged team members from asking questions, as they were unsure if the payoff would be worth the wait.
Case Study
Consumer Insights that Deliver the Goods
The Consumer Insights group of a top 10 CPG company was seeking growth opportunities, but they struggled to get analytics in a timely manner. They relied upon their massive amounts of company data as well as syndicated data. Handling syndicated sources was laborious. To answer a single question, it could take up to 50 clicks and 30 minutes. However, their users usually needed to ask several questions to help them better understand customer behavior. With hundreds of employees performing this type of work on a daily basis, this wasn’t efficient or scalable. Even worse, they still weren’t able to get to the level of insights their teams needed.
Case Study
Growing Customer Loyalty with Targeted Promotions
Food Service Rewards was facing a challenge with their traditional data analytics platform. The platform was not user-friendly and could only be operated by specialists with technical training. This led to a bottleneck situation as requests for data queries piled up. Moreover, by the time the results were generated, the need for that particular insight had often passed. To run a successful loyalty program, the team needed faster insights that would help them better understand customer churn and purchasing behavior to create more effective promotions.
Case Study
Enabling Insights at All Levels with Self-Service Analytics
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.
Case Study
Actionable Insights for Category Growth
National Beverage, one of the largest soft drink companies in the US, was facing a challenge in generating actionable insights from Nielsen and SPINS data. The business intelligence team wanted to have a better view into the data that could be easily understood by non-technical people to get a better grasp on business performance. They also needed advanced analytics capabilities to solve complex problems like SKU rationalization and growth contribution analysis.
Case Study
Fast Insights to Drive Innovation and Growth
American Licorice Company, a leader in manufacturing and marketing candy products, faced a challenge in harmonizing and integrating their various data sources. The data and insights team had been manually working for years, which was inefficient and time-consuming. The fast-paced market demanded a more efficient process to deliver timely insights to the sales and marketing teams. The company needed to answer critical questions such as how to gain additional distribution of their products, capitalize on trends quickly, and bring innovation to the market fast.
