PH Deck

Users need to analyze raw data for actionable insights but require technical skills or BI tools, leading to time-consuming manual analysis and delayed decision-making.

Business professionals and analysts often struggle to extract insights and visualize data from databases due to the complexity of query languages and lack of technical skills.

Business executives struggle to quickly retrieve and understand key performance indicators (KPIs), charts, and insights from their data, leading to slow decision-making and inefficiencies in business operations. retrieve and understand key performance indicators (KPIs), charts, and insights from their data quickly

Users struggle with traditional methods of studying and knowledge management, leading to inefficient learning, disorganized notes, and difficulty connecting ideas.

Users struggle to transform Excel files into data dashboards and analysis reports efficiently, spending extensive time on data analysis and report writing. The process is often manual, slow, and prone to errors, which hampers productivity and efficiency.

Users rely on manual data analysis requiring coding skills and setup time, leading to slow, complex, and less accessible insights.

Users face challenges in achieving unparalleled insights and real-time adaptability using traditional computing methods.

The current situation of the user involves managing and analyzing large datasets which typically requires technical expertise and significant time investment, often leading to delays in obtaining actionable insights.

Drawbacks of this old situation: Users often face challenges in waiting for weeks for data insights and relying on technical teams to derive information from complex data.

Teams and individuals often cumbersomely sift through vast amounts of data on platforms like Google Sheets and SQL databases, attempting to derive actionable insights. The process is time-consuming, prone to errors, and requires significant data analysis skills, leading to delays in decision making.

Car dealerships and auto sales teams rely on manual sales processes and basic CRM tools, leading to inefficient lead follow-ups, delayed decision-making due to lack of real-time insights, and lower revenue from missed opportunities.