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 Tech Tuesday: Low code data visualisation tools 

In an era where data drives decision-making and insights are paramount, the ability to transform raw data into compelling visuals is a skill that holds significant value.

However, not everyone is a data scientist or a seasoned coder, and this is where low-code data visualization tools step in to bridge the gap. These tools empower individuals and organizations to create insightful, interactive data visualizations with minimal coding or programming requirements. 

In this week’s edition of Tech Tuesday, we’ll delve into the world of low-code data visualization tools, exploring their significance, features, and the benefits they offer to those seeking to harness the power of data without being data experts. Whether you’re a business professional, analyst, or a curious enthusiast, these tools provide a user-friendly gateway to the world of data-driven insights, unlocking the potential of your data with ease and efficiency.

Tableau Public

Description: Tableau Public is a product by Tableau, a renowned data visualization and business intelligence company. It’s the free version of their flagship tool, designed for users who want to create and share data visualizations without extensive coding knowledge. It offers a user-friendly, drag-and-drop interface for building interactive visualizations.

Key Features:

A wide range of data connectors for different data sources.

Interactive dashboards and visualizations that can be shared publicly.

Active Tableau Public community for support and sharing of projects.

Cloud-based hosting for easy sharing and collaboration

Microsoft Power BI

Description: Power BI is Microsoft’s business analytics tool, known for its seamless integration with other Microsoft products and services. It empowers users to create interactive reports and dashboards without requiring extensive programming skills.

Key Features:

Integration with Microsoft 365 and Azure services.

Easy data transformation and modeling capabilities.

A user-friendly interface with drag-and-drop functionality.

Natural language queries for data exploration.

Google Data Studio

Google Data Studio is a free, cloud-based data visualization tool offered by Google. It enables users to connect to various data sources and create dynamic and shareable reports and dashboards using a straightforward, drag-and-drop interface.

Key Features:

Real-time data reporting and visualization.

Integration with other Google products, such as Google Analytics and Google Sheets.

Customization options for branding and styling.

Collaboration features for sharing reports and dashboards with team members or the public.

Qlik Sense

Qlik Sense is a data visualization and business intelligence tool that is known for its associative data model. This model makes it easy to explore and visualize data relationships, empowering users to gain insights from their data effortlessly.

Key Features:

Self-service data visualization and discovery.

Associative data model for data exploration.

Drag-and-drop interface for creating dashboards.

Offers a free desktop version for personal use and learning.

Zoho Analytics

Zoho Analytics is a low-code BI and analytics tool from Zoho Corporation. It provides a user-friendly interface for creating reports and dashboards without the need for extensive technical expertise.

Key Features:

Integration with various data sources, including cloud applications and databases.

Data blending and transformation capabilities.

Drag-and-drop report and dashboard builder.

Collaboration and sharing features for teams.


The next evolution in search is vector search, which stores data as numerical representations in a high dimensional space and lets users find information based on the relationship between those numbers. Where traditional search is limited to keywords, vector search can be used for any type of data, including images and audio, and non-text documents like PDFs.

As part of DataStax’ Astra DB, vector search is a promising way of making data visualisation based on non-traditional or text-based data types more accessible to non-technical users. 

Vector search can be used to improve the performance and usability of low code data visualisation tools in several ways, including automatically generating recommendations for datavisualisations based on information stored in the database, as well as improving the accuracy of search results, and enabling users to create more complex visualisations simply by dragging and dropping.

 Teletrac Navman

Low code data visualisation tools are powerful, but what if you could eliminate the coding? That’s what Teletrac Navman’s TN360 platform provides. With its AI engine and data-sharing capabilities, TN360 transforms large volumes of information into business insights, providing clear data and automatically highlighting anomalies.

TN360 powers business fleets in Australia and worldwide, from private and not-for-profit fleets to heavy transport and construction. The system provides insights into data, including fuel efficiency, maintenance and servicing on a per-vehicle basis and driver behaviour. If a driver is speeding, braking too harshly, or engaging in close following, fleet managers will know about it and can proactively engage in driver coaching.

Data-driven organisations are three times more likely to report an improvement in decision-making. With TN360, fleet managers can understand their fleets like never before – no coderequired.

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