Phrazor Blog

Due to the cumbersome process of communicating with tech teams, business users have to wait for weeks or days to get even ad-hoc queries answered. The dependency on data analysts is just far too great. Additionally, most dashboards in use today are of a static nature..

Narrative-based drill-down helps achieve the last-mile in the analytics journey, where the insights derived are able to influence decision-makers into action. Let’s understand how narrative-based drill-down works through a real example...

The querying capabilities of Ask Phrazor when compared to the other solutions available in the market, those from Tableau and Power BI, for instance, leave clear daylight between Ask Phrazor and the others. Here are 5 features that showcase how Ask Phrazor is a cut above the rest:

Conversational analytics on dashboards for business users means they can conduct queries and ad-hoc queries on dashboards in real-time, without the need to revert to tech-based teams and wait for days or weeks for reverts.

The most important question that business users should be asking when making important decisions is this: does my dashboard enable me to take decisions independently?

Market intelligence reports are to enhance your business intelligence and decision-making. Self-service BI tools can help financial service providers expand their offerings, discover unexplored markets, become more efficient.

Learn how Business Intelligence has evolved into self-service augmented analytics that enables users to derive actionable insights from data in just a few clicks, and how enterprises can benefit from it.

Natural Language Generation plays a vital role for media and entertainment companies to create the right customer experience. It improves processes, boosts customer engagement, and gain a competitive advantage.

Businesses often face challenges in combing and mining the right data and translating it into useful and actionable insights. NLG uses the power of language to automate this process and bridge the gap. Read this article to find out how NLG can be effectively used to analyze big data.