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

Cohort analysis@2x

Cohort analysis

Izzy Miller

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

Pop real

Period over period analysis

Izzy Miller

Compare various points in time across multiple periods

Rudderstack use case image

Replace Google Analytics with Rudderstack & Hex

Build a more in-depth and flexible analytics stack


Inventory management

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


Automating Quarterly Reviews

Izzy Miller

Connect your data between Hex, Google Sheets and Google Slides. Empower your stakeholders to access data and charts that automatically refresh before the next QBR.

dbt metrics feature

dbt Metrics

Access trusted metrics with Hex's dbt integration

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We're always expanding our collection of examples and templates. Let us know what you're working on, and we'll whip up an example just for you.

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A quick guide to Reporting

In the universe of business data, great reporting is the powerful telescope that brings distant constellations into focus. It's not just about having your finger on the pulse of dataโ€”it's about understanding the rhythm of your business and using that knowledge to your advantage. Think dashboards that offer a panoramic view of your business, business intelligence tools that turn data into actionable insights, and key business metrics that serve as your guiding north stars.

Whether it's a KPI dashboard that highlights your entire company's health, an interactive report dissecting market reach for each sales team, or a visually stunning data story that breathes life into your quarterly review, reporting forms the backbone of informed decision-making.

Consider these typical scenarios:

  • You need to discern whether your latest marketing campaign is bearing fruit.

  • You want to know which products are stellar performers and which need a boost.

  • You're curious about how your customer engagement rates have evolved over the past year.

The reporting framework is the same for all of these:

  • Collect and curate the most relevant data

  • Distill it into applied insights that make contextual sense and don't have unnecessary information

  • Present these insights in a way that directly answer business questions

  • And most importantly: tell a compelling data story that encapsulates the essence of your business narrative.

And that last piece really is the most important. The power of great reporting doesn't lie just in the dataโ€” it's also (mostly, even!) about how you present it. Just like with any great story, it's the delivery that drives the point home.

Explore this page to see various examples of reporting done right. From dynamic dashboards to insightful data stories, every example maps to a real business problem faced by paying customers of Hex. If you see something that looks useful, click "Get a copy" to fork the example and get it running on your own data.

See what else Hex can do

Discover how other data scientists and analysts use Hex for everything from dashboards to deep dives.


Data Visualization

Multiple contributors

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


KPI Dashboards

Multiple contributors

Track and monitor your business KPIs (key performance indicators) with ease using our interactive SQL and Python dashboard. Get insights into sales performance, customer satisfaction, operational efficiency and more.

python viz grid

Python Data Visualization

Izzy Miller

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

Hex and Algolia

Automating Reporting at Algolia

Matthew David ยท September 1, 2023

How one data team transformed tedious, manual reporting tasks into seamless, automated workflows


What's the advantage of using a KPI dashboard over traditional reporting methods?

KPI dashboards offer real-time updates, data visualization, and interactive features that traditional reports lack. They present complex data in an easy-to-understand format, enabling quicker, data-driven decisions.

What are digital dashboards, reporting software, and data mining?

Digital dashboards are data visualization tools that display the current status of metrics and KPIs in an organization. Reporting software helps in creating reports that depict data in an understandable and actionable format, usually through visual representation. Data mining is the process of discovering patterns in large data sets using methods at the intersection of machine learning, statistics, and database systems. It aims to extract insights from data and transform it into an understandable structure for further use.

How do you develop dashboards and reporting tools?

Developing dashboards involves several steps, starting with identifying key metrics that need to be tracked. Then you choose a platform or tool like Hex and design your dashboard layout. Next, you connect your data source to the dashboard and set up automatic data refresh intervals. Fine-tune your visualizations, add filters, and ensure the dashboard is user-friendly and interactive.

How to build Python-based dashboards for data analytics and reporting?

To build Python-based dashboards, you can use libraries like Dash, Plotly, or Bokeh that provide interactive data visualization tools. First, you collect and clean your data, then use these libraries to create interactive charts, graphs, or tables. You'll deploy your dashboard on a server or a platform like Heroku for accessibility.

How can customer engagement rates be tracked and analyzed using these dashboards?

Dashboards can track customer engagement rates by presenting data on metrics such as active users, session duration, bounce rates, repeat customer rates, and customer feedback scores.

What insights can the reporting dashboards provide regarding product performance?

Product performance can be analyzed using metrics like sales volume, revenue generated, market share, customer reviews and ratings, return rates, and other relevant KPIs, all visualized on the dashboard.

How can these dashboards aid in understanding the performance of a marketing campaign?

Dashboards can provide real-time insights into marketing campaigns by tracking metrics such as customer reach, engagement, click-through rates, conversion rates, and overall ROI, thereby indicating the campaign's success.

What are some of the key business metrics that these dashboards can track?

Key business metrics that can be tracked include Key Performance Indicators (KPIs), sales revenue, customer acquisition costs, customer engagement rates, product performance metrics, and other industry-specific metrics.

What types of business data can be visualized with these dashboards?

The dashboards can visualize a wide variety of business data, ranging from sales and revenue to customer engagement metrics, product performance, marketing campaign success, and much more.

Can't find your answer here? Get in touch.