Templates

From complex ML forecasting to critical business dashboards, Hex lets data teams work together in Python, SQL, and no-code to do more with data, together.

Time Series

Discover meaningful patterns and trends by visualizing data over time.

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Time Series Forecasting with Prophet

Izzy Miller, Dev Advocate at Hex

Make simple time series modeling easy and configuration-free with Prophet

Time Series Forecasting

One workspace with everything you need to build complex time series models

Time series analysis in Snowpark

Forecast hourly restaurant traffic using UDTFs in Snowpark

Reporting

Bring your business data to life with interactive reports, beautiful dashboards, and rich data stories.

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Inventory management

Izzy Miller

Leverage insights to make informed decisions about product inventory and ensure availability

Cohort analysis

Izzy Miller

Analyze groups of customers to understand retention, predict churn, and find other patterns.

Period over period analysis

Izzy Miller

Compare various points in time across multiple periods

Python Data Visualization

Izzy Miller

Leverage Hex to transition from SQL data warehouse insights to dynamic visual storytelling using Python's top visualization libraries.

Parameterized Queries

Upgrade your projects with parameterized SQL queries. Create interactive dashboards and exploratory data analysis with SQL queries that dynamically react to user input using Hex.

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Feature Success Interactive Dashboard

Jo Engreitz

Build feature success dashboards with Hex. Monitor usage metrics using parameterized SQL, create interactive visualizations and effortlessly share your work.

Feature Selection

Determine the most appropriate features of your Machine Learning model to make it easy to interpret, get accurate results, reduce overfitting, and optimize your computational resources.

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Linear Dimensionality Reduction

Izzy Miller

Visualize high dimensional data using linear reduction techniques

Non-linear dimensionality reduction

Visualize high dimensional data using non-linear reduction techniques

Feature Selection

Seamlessly apply feature selection methods to data fresh from your SQL warehouse

Data Modeling

Take raw data and transform it into ready to use data sets for predictive models, interactive apps for exploration, or for company reporting.

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Collaborative filtering

Izzy Miller

Build a recommendation engine with Hex and Python. Use collaborative filtering to find similar products and make personalized recommendations based on purchase history..

Market Basket Analysis

Identify high-impact product pairings and optimize promotional strategies with apriori market basket analysis

Content based filtering

Content-based filtering and collaborative filtering are two data modeling techniques for recommending items to users. Turn your complex logic into an easily digestible app in Hex that anyone can use and start getting recommendations within seconds.

Data Science

Unearth hidden insights and power business decisions with machine learning— or just good old applied statistics.

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Outlier Detection

Izzy Miller

Detect and analyze anomalies in your dataset using robust Outlier Detection methods.

Churn Prediction

Izzy Miller

Hex is a powerful development environment for churn prediction. It supports SQL, Python & R. It makes it easy to deploy accurate and scalable models.

ML Model Development

Izzy Miller

Build, test, and deploy powerful ML models

Izzy Miller

Hex is the most powerful development environment for prototyping and deploying predictive models. Get started with Hex and direct SQL access to your data warehouse, a polyglot environment for developing and deploying models, and a built in app builder.

Data Clustering

Unleash the power of data clustering—an unsupervised machine learning technique that uncovers patterns and groups similar data together without the need for labeled data.

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Customer Segmentation

Izzy Miller

Group users and customers into intelligent segments

Clustering algorithms

Group similar data points together to discover patterns, structures, or subgroups within a dataset.

Cluster analysis

Build an interactive K-means clustering app in minutes with Hex. Scale, reduce, and encode your features using Python— and then create an interactive app using input parameters.

Document Similarity with Embeddings

Explore document similarity using embeddings, swiftly visualizing and interpreting text clusters from your SQL warehouse.

Snowpark

Use Hex with Snowpark for Python to do complex data science on datasets of any scale

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girid-image-snowpark-manufacturing-demand

Snowpark Manufacturing Demand Forecast Demo

Forecast manufacturing demand using Prophet and Snowflake

Customer Behavior Analysis And New Product Sales Forecasting

Analyze customer purchasing behavior for new product development

Time series analysis with Snowpark

Forecast hourly restaurant traffic using UDTFs in Snowpark

Data Science with Snowpark

The easy button for Snowpark

Data Visualization

Transform raw data into actionable insights with interactive visualizations, dashboards, and data apps.

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Python Data Visualization

Izzy Miller

Leverage Hex to transition from SQL data warehouse insights to dynamic visual storytelling using Python's top visualization libraries.

Python mapping libraries

Izzy Miller

Access Python's powerful mapping ecosystem right alongside SQL and native geospatial tools

Geospatial Data Analysis

Use powerful GIS techniques alongside SQL and built-in mapping tools

Natural Language Processing

Empower your AI and ML applications to interpret, recognize, and generate human language with powerful Natural Language Processing (NLP) algorithms.

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Social Media Sentiment Analysis

Izzy Miller

Parse out insights and trends from the sea of tweets, posts, and threads

Sentiment Analysis

Understand the meaning behind your unstructured text data, from reviews to support requests

Named Entity Recognition

Uncover the hidden entities in your text data, from classic literature to customer feedback.

VADER sentiment analysis

Izzy Miller

Analyze social media data to understand the overall sentiment of users.

Exploratory Analysis

Deep dives, rabbit holes, side quests, and ad-hoc explorations.

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Ad-hoc exploration

Izzy Miller, Dev Advocate at Hex

Answer complex questions fast, and communicate results clearly

Interactive Data stories

Izzy Miller

Build rich, interactive data stories and documents

SQL Notebooks

Izzy Miller

The most powerful SQL IDE ever made

Exploratory Data Analysis

Izzy Miller

Make EDA easy with Hex's powerful data platform

KPI Dashboards

Track and monitor business KPIs, offer insights into sales performance, customer satisfaction, and operational efficiency.

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Feature Success

Jo Engreitz

Measure Feature adoption, retention and satisfaction with this interactive Hex app.

Python Data Visualization

Izzy Miller

Leverage Hex to transition from SQL data warehouse insights to dynamic visual storytelling using Python's top visualization libraries.

Customer Churn Dashboard

Izzy Miller

Reduce customer churn with predictive insights

Customer lifetime value Dashboard

Izzy Miller

Improve customer retention and profitability with detailed LTV analysis.

Sentiment Analysis

Decipher subjective information in text to determine its polarity and subjectivity, explore advanced techniques and Python libraries for sentiment analysis.

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Social Media Sentiment Analysis

Izzy Miller

Parse out insights and trends from the sea of tweets, posts, and threads

Sentiment Analysis

Understand the meaning behind your unstructured text data, from reviews to support requests

Named Entity Recognition

Uncover the hidden entities in your text data, from classic literature to customer feedback.

VADER sentiment analysis

Izzy Miller

Analyze social media data to understand the overall sentiment of users.