The firm was losing momentum in the market due to its inability to make quick decisions based on data. Making sense of the copious amounts of data stored and simultaneously coming in and deriving insights at speed was not feasible with the current technology in hand. Transferring data decisions down the hierarchy within timeframes to kickstart on-field team into taking the right action course was also a major hurdle. Managers wanting to obtain specific information on a subject matter at will were left waiting past the opportune moment to acquire the information, leading to lost sales opportunities.
- Data analysis being conducted on outdated data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
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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.