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AI for Data Analysis: Analyze and Query Your CSV Files With Storytell
Storytell’s CSV upload feature processes datasets for straightforward analysis and detailed insights.
January 8, 2025
We’re starting 2025 with a transformative update: Storytell now supports CSV file uploads, making it easier than ever to analyze your datasets. Whether your data is messy, complex, or overwhelming, Storytell helps you extract meaningful insights efficiently—all from a simple file upload.
How Storytell’s CSV Upload Feature Works
1. Upload Your File: Drag and drop your CSV directly into Storytell or upload it to a new Collection. Let’s use this Fictional Stars CSV file as an example. This dataset contains the name, age, and other details about fictional stars.
2. Processing the Data: Storytell can process the first 1,000 rows of a CSV file, converting each into a Story Tile™ for analysis. Plus, Storytell supports an unlimited number of columns, ensuring even the widest datasets are fully processed. Since this CSV file contains 500 rows, all of the rows are converted into Story Tiles™.
3. Optimization for Insights: Storytell creates Story Tiles™ directly from your CSV data, transforming each row into an easily analyzable unit. These Story Tiles™ are structured to leverage AI for detailed queries and computations, enabling you to extract insights quickly and efficiently.
4. Actionable Answers: Start exploring your data by asking questions. For example, you can ask, “What is the oldest and youngest star?” Storytell provides precise answers, linked to the source data for transparency.
Additionally, you can ask, “What is the median age of the stars?” and let Storytell do the computation for you.
Storytell’s Unique Approach to CSV Files
LLMs often struggle with processing CSVs due to their large file sizes, complex data structures, and input limitations. Storytell’s unique Story Tile™ technology overcomes these challenges, making it easier for users to extract meaningful insights from their data.
- No column limits: Storytell processes datasets with unlimited columns, enabling analysis of complex, wide data tables.
- 1,000-row support: Currently, Storytell processes the first 1,000 rows of data in a CSV file. Expansion for additional rows is planned for early 2025.
- File compatibility: While XLS files are not yet supported, this feature is on the roadmap for 2025.
With Storytell, users can focus on asking meaningful questions and exploring data-driven insights without wrestling with formatting or technical hurdles.
Now, with the ability to process large and complex data sets, users have access to:
- Efficient handling of complex data: Unlike other tools that require additional software or coding skills, Storytell processes your data out of the box.
- Advanced math and query support: Perform calculations or ask detailed questions without needing technical expertise.
- No column limits: While the feature currently processes up to 1,000 rows, there are no restrictions on the number of columns, ensuring a comprehensive view of wide datasets.
- Transparency and trust: Every insight is linked to its source, offering full visibility and accuracy.
By breaking down barriers to data analysis, Storytell makes it possible for everyone—from data professionals to beginners—to extract meaningful insights without technical bottlenecks.
Practical Applications: From CSV to Insights
Storytell supports a wide range of use cases across industries, making it easy to extract insights from your data.
Sales Teams:
- Identify trends in sales performance by region.
- Pinpoint top-performing products over a specific timeframe.
- Calculate average order values or growth rates without external tools.
Marketing Teams:
- Analyze campaign performance by channel or audience segment.
- Identify trends in customer acquisition costs or ROI.
- Surface key insights about engagement and conversion metrics.
Product Managers:
- Examine user feedback to identify the most requested features.
- Track usage trends and churn rates across different customer segments.
- Compare feature adoption over time to inform future roadmaps.
Customer Support:
- Discover patterns in ticket resolution times.
- Surface common issues reported by customers in specific regions.
- Quantify the impact of recent policy changes on customer satisfaction.
With Storytell, you can analyze trends, uncover insights, and answer specific questions across diverse data sets.
Empowering Users: Storytell’s Vision
At Storytell, we’re committed to making powerful tools accessible, intuitive, and transparent. Here’s what sets us apart:
- Data made human: We transform raw data into Story Tiles™, converting rows of numbers into clear, natural sentences for better context and understanding.
- Limitless exploration: Dive into any data point or pattern without restrictions on the questions you can ask.
- Trustworthy insights: Every answer is backed by source-linked data, ensuring accuracy and reliability.
- User-centric design: This feature was inspired by user feedback, addressing real challenges to improve workflows.
Ready to Try It?
The CSV Upload feature is live and ready to simplify your data analysis. Whether you’re a marketer analyzing campaign performance, a business owner reviewing sales trends, or someone curious about a dataset, Storytell is here to help. Transform your CSV chaos into clarity today.
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