Users can select from a variety of visualisation components, including charts, graphs, tables, and maps, to build interactive and visually appealing dashboards. Birst’s dashboard features allow users to drill down into data, apply filters, and create dynamic visualisations that respond to user interactions.

Users are guided through step-by-step instructions on how to connect to data sources, build data models, perform data transformations, and create interactive dashboards. The tutorials also cover advanced topics such as data blending, creating calculated measures, and leveraging advanced analytics capabilities within Birst.

To obtain accurate pricing information, it is recommended to contact the Birst sales team directly. They can provide detailed pricing based on the specific requirements and scale of your organisation.

• Requirement Analysis: organisations need to identify their specific business requirements and use cases for Birst. This includes understanding the types of data to be analysed, the desired outcomes, and the existing infrastructure and systems.

• Data Integration: Birst supports a wide range of data integration options, allowing users to connect to various data sources and import data into the platform. Users need to configure data connectors, establish data pipelines, and ensure data quality and integrity.

• Data modelling : Birst’s data modelling  capabilities enable users to create logical data models that define relationships and hierarchies between data elements. This step involves mapping data sources, defining dimensions and measures, and creating calculated fields.

• Dashboard and Report Design: Users can design interactive dashboards and reports using Birst’s intuitive interface. This includes selecting appropriate visualisations, arranging components, and applying filters and interactivity to enhance user experience.

• Security and Governance: Birst provides robust security and governance features to ensure data privacy, compliance, and access control. organisations need to define security roles, manage user permissions, and establish data governance policies.

• Testing and Validation: Before deploying Birst to end-users, organisations should thoroughly test and validate the dashboards, reports, and data models. This step ensures data accuracy, functionality, and performance.

• Deployment and User Training: Once validated, Birst can be deployed to end-users, and organisations can provide training and support to ensure users are proficient in utilising the platform’s capabilities effectively.

Comparing Birst with Tableau, another popular business intelligence and analytics platform, can help organisations make informed decisions based on their specific requirements. Here are some key points of comparison:

Data Connectivity: Both Birst and Tableau support a wide range of data sources and offer connectivity options to import and blend data from multiple sources.

Visualisation Capabilities: Tableau is renowned for its powerful and interactive visualisation capabilities, providing a wide array of visual components and customisation  options. Birst also offers strong visualisation capabilities, but it may not provide the same level of flexibility and depth as Tableau in terms of visual customisation .

Self-Service Analytics: Both Birst and Tableau offer self-service analytics features that empower business users to explore data and create visualisations without heavy reliance on IT or data analysts. However, Tableau’s user-friendly interface and drag-and-drop functionality may be more intuitive for non-technical users.

Advanced Analytics: Birst and Tableau both provide advanced analytics capabilities, including predictive modelling and forecasting. However, Birst’s advanced analytics features may be more focused on data preparation and modelling, while Tableau emphasises data visualisation and storytelling.

Scalability: Birst is a cloud-based platform that offers scalability and flexibility, allowing organisations to handle large volumes of data and support a growing number of users. Tableau offers both on-premises and cloud deployment options, providing flexibility for organisations with specific infrastructure requirements.

Pricing Model: Birst’s pricing model is based on factors such as the number of users, functionality requirements, and deployment options. Tableau’s pricing structure primarily revolves around a per-user or per-server basis. organisations should evaluate their specific needs and budget when considering the pricing models of both platforms.

Understanding Birst’s pricing, reviewing its capabilities, exploring tutorials and training options, comparing it with other analytics solutions like Tableau, and downloading the platform are crucial steps for organisations considering the adoption of Birst. Whether it’s implementing Birst, training users, building interactive dashboards, or leveraging advanced analytics, Birst provides the necessary tools and resources to drive data-driven decision-making and propel organisations towards success.