PH Deck

Data teams often struggle with managing complex data efficiently and optimizing business intelligence due to the lack of advanced tools.

Users currently manipulate spreadsheet data using complex formulas or scripts, requiring technical skills like Excel formulas or scripting, which is time-consuming and inefficient for non-technical users.

Users rely on multiple fragmented tools for marketing, sales, and operations, leading to inefficiency, high costs, and complex management.

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

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.

Tech teams often have unidentified strengths and weaknesses, leading to skill gaps and inefficiencies in team performance.

Product teams face challenges in integrating AI into their workflows, relying on fragmented resources or unstructured approaches which lead to inefficiency, lack of clear direction, and missed growth opportunities in AI adoption.

Users rely on fragmented AI tools and disparate workflows, leading to inefficient collaboration and data silos across teams.

Users seeking to advance their knowledge in data science and AI face challenges in standing out among competitors and enhancing their skills in a data-oriented work environment.

Drawbacks: Limited opportunities to gain a competitive edge, struggle to excel in data-oriented roles regardless of experience level.

Users currently rely on manual methods or traditional project management tools to handle team tasks and collaboration, leading to inefficient task creation, disorganized notes, and time-consuming scheduling.