Guiding you to build advanced data analytics projects remarkably fast, collaboratively and without writing code.
More powerful than dashboards and more intuitive than notebooks.
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Load, explore and start finding patterns in your data in a matter of minutes. Manage analysis exactly how you want - without writing any code and without depending on other people.
Data to insights in just a few minutes.
Drag and drop datasets into Graphext to begin spotting patterns. Instantly pull data from database & warehouse integrations.
Plug data straight into histograms, bar charts, heatmaps, box plots, time-series and many more types of charts. Play with interactive filters and dynamically update your data.
Follow guidance to spot insights, correlations and unseen relationships between values. Identify significant variables and expose communities of key data points with simple exploration.
Add data science models without writing any code.
Create and deploy powerful machine learning models on your data without writing any code. Model language with built-in NLP algorithms - Make predictions about values - Cluster related data and connect powerful machine learning APIs from Google and other providers.
Create associations between similar data points and visualize them in a network. Explore hidden communities and drill down into their defining features with smart filters, guidance and highlighted variables.
Handle, transform and analyze any kind of data inside Graphext. From unstructured bundles of text to financial datasets with missing values to datasets packed with images - links - dates and many more value types.
DISCOVER MORE
Customer Analytics
Product Analytics
Survey Analysis
Text Analysis
Finance
Marketing & Advertising
Healthcare Analytics
Location Intelligence
Sports Analysis
and much more ...
Root Cause Analysis
Customer Segmentation
Predict Churn
Lead Scoring
Pricing Optimization
Optimize Models
Social Media Analysis
SEO Optimization
Customer Feedback
NPS Analysis
The latest from the Graphext blog.
To improve our SEO, we built a data-driven method to analyze the content of top-ranking Google search results as part of a keyword optimization process. Starting with a single search term, our technique uses web scraping + NLP techniques to find specific keywords that are already proven to boost the rank of similar pages.
Youtube, Twitch and other streaming platforms are full of data professionals sharing hacks, tutorials and stories of their working life. As well as content geared towards people starting out with data analysis - like Reuven Lerner covering essential Python tips and walkthroughs - there are videos posted by data Youtubers and streamers that debate topics at the forefront of data science research - Cassie Kozyrkov for instance.
Newsletters are becoming a popular way to distil news, events and tips as the data landscape becomes busier and busier! These are the kind of emails we love to receive because they help us to stay ahead of the game ... and they are all about data. As well as data newsletters created for business analysts - The Modern Data Stack shares resources, opportunities and tools (we are very proud to have featured) - there are series geared towards data science and AI developments such as The Batch.
The world of data science podcasting has become as varied as the input parameters to a Linear Regression model. From household names like Freakonomics to less known up-and-comers like Big Data Beard, data professionals are sitting up from their computers to talk about business, the future of AI, data in the real world and much more ... if you know where to look.
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