The best thing we liked about Phrazor was the elimination of the need for a financial expert to create the reports. Our team easily generated detailed Customer portfolio analysis reports from an easy-to-understand narrative-based interface provided by them which was backed by Natural Language Generation and Querying technologies. The tool also highlighted the key points in the reports to make the report easily understandable with detailed recommendations and trends. It was seamless to incorporate Phrazor with our existing Data source and Backend APIs hence getting started was simple and quick.

Reporting has never been so effortless and stress-free for us. With Phrazor and its ready-to-use marketing report templates, all we had to do was connect our Google Analytics dashboard with the in-built Phrazor Data connector. We saw how within only a few minutes an overview of our entire marketing effort and website traffic performance was auto-generated by Phrazor’s NLG engine. The report created not only showed us what happened but also helped us answer key questions as to what caused it to happen. This helped us optimize our strategies which would not have been clear only by relying on graphs and other visualizations. The template also supports visual dashboards along with relevant analytics written as natural-language summaries.

I like how effortlessly we can integrate Phrazor with our Google Analytics Dashboard and create a pipeline for an in-depth analysis of our website performance and other marketing efforts. Phrazor generates reports almost instantly, transforming the previously daunting data into intuitive insights that help us understand the results of our marketing efforts and strategize ways to improve them. Apart from just displaying our data in the form of charts and visualizations, Phrazor's NLG based platform also explains those charts in simple language in the form of a story. The insights being powerful and relevant help us understand the not-so-obvious trends and underlying metrics leading to the results, which we would’ve otherwise overlooked.