Extend analytics to everyone with a 2-tier data strategy and comprehensive BI layer

Automated Cloud Analytics Engine and User-Ready Data Store enable Reports, Dashboards, Mobile and Visual Discovery on a 2-tier data strategy

Birst creates a user data tier that plugs into existing data warehouses, data lakes or applications, automating the process of refining all of your data and creating a single source of truth - and enabling a 2-tier data strategy. Architected specifically with the agility of the cloud, we add a complete BI layer that uniquely meets each individual business user’s analytics needs by providing an intuitive set of front-end tools that include reports, dashboards, mobile, and visual discovery. All front-end analytics styles share a single business model (semantic layer) providing for greater scale and consistency through reusable business metrics and a single view of all data for users.

Automated Cloud Analytics Engine

Birst’s cloud analytics engine delivers automated data integration capabilities, including pre-built connectors to both on-premises and cloud data sources to create the user-ready data store. Birst provides automated routines for standard integration needs, and a developer-friendly scripting (ETL) language for more complex needs. Since Birst is a single code base, all data integration routines are developed, tested, and enabled in production from a single web browser, without any work in a different application or desktop-based tool.

Automated  Multi-Dimensional Data Warehouse

User-Ready Data Store

Birst’s user-ready data store sits on top of all your data and combines different sources of corporate data. It is designed and optimized for ROLAP-style analytics, providing a Kimball style star-schema with a multi-dimensional view of all data. In addition, Birst's user-ready data store supports Type 1 and 2 slowly changing dimensions, conformed dimensions, and manages snapshots automatically. Data loading and updates are done through incremental process with built-in change detection.

Data Navigator and Business Model

Birst assembles a business-oriented view (semantic layer) of all data to which it is mapped. Birst’s ROLAP-based data navigator joins across heterogeneous sources and supports advanced concepts like positional references, cell-based calculations and differentiation between slicers and filters. Use the power of Birst’s unified business model to join data from Birst’s user-ready data store with data queried in real-time from another source, cloud or on-premises.

Scalable ROLAP Engine

Dashboards, reporting, visual data discovery, and mobile

Birst’s BI layer supports all major styles of business intelligence—from interactive self-service dashboards to visual discovery to pixel-perfect reports to mobile BI. Birst combines ad hoc analysis of data and banded report writing into a single user interface. Any report or visualization built in the Birst business intelligence platform can be exposed in a dashboard, accessed on Mobile devices via HTML5 or Birst’s Native iPad application or scheduled for delivery by email.

Business Intelligence Platforms & Dashboards

Business User Data Mashups

Data mashups empower end users to independently augment enterprise data residing with their local desktop data. Create individual analytics sandboxes without requiring data movement or replication. IT is not required to provide individual data feeds to departments or individuals, or build data marts, yet can still ensure integrity, security, and consistency of the master data.

Personal Data Sandboxes- Self-Service Business Intelligence