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Data teams face a significant challenge in building and shipping data products, with an estimated 80% never reaching production. This is due to the complexities of the "last mile" – the process of taking a data solution and making it operational. This involves tasks like setting up cloud servers, hosting models, integrating with data pipelines, orchestrating data flow, ensuring security, managing scalability, and ongoing maintenance. These tasks require specialised skills outside the scope of most data practitioners, leading to the need for large and costly data teams with diverse skillsets.

deckchair® simplifies building and shipping for data products by offering a workflow-driven interface that allows users to move from their local environment to the cloud with just a few clicks. It supports popular tools and languages like Python and R, automatically handling the necessary configurations and containerisation. This means your analytics run seamlessly on the cloud, just as they do on your local machine.

deckchair® utilises artificial intelligence using an agent-based system - derived from distributed AI - to automate data integration and orchestration. Users can specify the data their analytics require using natural language through a simple tagging system. Intelligent agents then search for matching data sources, establish connections, and build dynamic pipelines. As the system evolves and new data becomes available, deckchair® automatically routes it to the relevant analytics, eliminating the need for tedious data wrangling.

deckchair® provides a suite of tools for visualising and sharing data insights. Users can easily generate data feeds from their analytics and utilise the platform's visualisation toolset to create graphs, charts, tables, tiles, and gauges. These visuals are highly customisable and can be combined into interactive applications using a drag-and-drop app builder. This allows users to present their insights in a meaningful and engaging way.

Security is a top priority for deckchair®. All data is encrypted both in transit and at rest using state-of-the-art encryption techniques. The platform implements two-factor authentication for enhanced user protection. Environments are strictly separated to guarantee data privacy and protection. A robust permission system allows for controlled collaboration while ensuring that sensitive data and applications remain accessible only to authorised personnel.

Yes, deckchair® is designed as a no-code/low-code platform. This means that users with the ability to build an analytic can also ship a data product without needing extensive coding experience. The intuitive interface and automated features make it accessible to a wider range of users, empowering them to bring their data solutions to life.

Unlike other tools that offer limited deployment options, deckchair® provides a comprehensive solution. It doesn't require users to build their own infrastructure or force them to adopt a specific set of tools. Instead, it seamlessly integrates with existing workflows and technologies. Whether you prefer a specific cloud provider, programming language, data source, or visualisation tool, deckchair offers the flexibility to work the way you want.

deckchair's permission system allows for granular control over access to data and applications, enabling teams to collaborate securely. Users can share their projects with specific team members, granting them varying levels of access. This promotes knowledge sharing and ensures that everyone involved has the necessary insights to contribute.