Big Data Analysis

AMS was able to analyze and gather insights from millions of records of customer satisfaction data that had been left untouched by our staff due to sheer size of the data sets involved.
Customer Insights Manager, Commercial Software Company

What if the answer to your most significant business challenges were in the data you already have? If your company is like many others, you have likely accumulated mountains of customer data. But how can you mine these mountains of data for the answers you need to make better decisions? How can you make the best use of big data?

The AMS Difference

We find answers to important questions in the customer data you already have—quickly—so you can be more agile in adapting to an ever-changing marketplace, answering key questions such as:

  • What are the biggest complaints customers have with your product?
  • What are customers saying about your company, relative to competitors?
  • What new features are customers asking for in the next generation of your product, and why?

Using the latest advances in machine learning, as well as sophisticated multivariate data modeling and other big data analytics, we rapidly churn through massive datasets to find the gems of insight that you need to design better products and deliver experiences that delight customers.

  • We analyze customer-generated content from product discussion forums, blogs, social media, comments on your website.
  • We analyze survey datasets and secondary research your company has already purchased, including open-ended questions in customer satisfaction surveys.

The End Result

We synthesize data into actionable insights that show you areas in need of attention and hidden opportunities to exploit for competitive advantage. Our reports provide clear and actionable answers, so cross-functional teams can quickly make use of their new insights. In addition, we provide recommendations on next steps, based on what we find.

Let us help you get more insight from the data you already have.

Find answers in your customer data that you didn't know were there.Contact Us

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