Business managers were finding it difficult to track their products and obtain relevant insights about distribution, sale, root cause of events, etc. The underlying reason for this was the undue time taken to conduct data analysis. By the time data was used in analysis, data was becoming obsolete. Analysis on such outdated data did not favour business managers, who, in addition to real-time data, were also looking for answers to advanced questions that came to mind once they saw the original analysis results. Reverting to BI teams would again mean a delay in data arrival.
The BI team, on the other hand, was finding it difficult to focus on much more than acquiescing to the ad-hoc requests of management. They also failed to provide the required product intel in their original presentations due to the traditional nature of the dashboards being used
- Data analysis being conducted on outdated data
- Dashboards created by analysts were not able to cater to the requirements of business managers, who wanted on-the-fly answers
- BI team is confined to fulfilling requests from management, and is not free to focus on long-term business-oriented initiative
- Tracking product categories and acquiring intelligent intel on each product and category was difficult to represent using traditional dashboards
Phrazor’s automated insight discovery facilitated the company to track product inventory and sale at all locations. Phrazor’s conversational querying interface ‘Ask Phrazor’ allowed business managers to take over dashboard creation and insight extraction from the data analysts.
Business managers were able to use Phrazor’s natural language query to receive responses in simple language backed by dynamic visualizations to conduct on-the-fly evaluation and analysis on critical sub-topics. This also gave experienced data analysts the freedom to devote their attention to strategic long-term technological initiatives.
With Phrazor, dashboards are dynamically updated, so any and all conclusions are formed on a completely updated dataset. Secure, live connection to multiple data connectors like Snowflake lets Phrazor extract relevant data on which it will run automated analyses.
With Phrazor, the company noted faster time-to-insights, greater synergy between management and data analysts, and a higher level of autonomy for business managers to interact with and obtain crucial insights from data all on their own.