Birst Services Training Support

Birst Networked BI is a BI product that promises to enable a single view of data and eliminate data silos. Additionally, decentralized teams and individual users can augment this shared analytic fabric with their own local data, without compromising data governance. This consistency comes from a unified semantic layer, which maintains common definitions and key metrics, no matter where users sit.

Birst achieves Networked BI through a 2-tier architecture that aligns back-end enterprise data with line-of-business or local, edge data. Birst’s Automated Data Refinement extracts data from any source (data stores, applications, warehouses, big data, and unstructured external sources) into a unified semantic layer. The result is a consistent view that enables users with self-service analytics through dashboards, reporting, visual discovery, mobile tools, and predictive analytics. Birst Open Client Interface also offers integration with Tableau, Excel and R.

Birst goes to market in two primary ways:

  • Direct, for enterprises using Birst for analytics on internal data to drive improved business outcomes
  • Embedded, for all size companies who offer data (analytics) products, by embedding and white-labeling Birst capabilities into their products

Birst’s product is packaged in 3 available formats:

  • Platform and per-user fee
  • By Department or Business Unit
  • By end-customer (for embedded scenarios)

Birst Features

BI Platform Features

  • Administration via Windows App
  • Administration via MacOS App
  • Administration via Web Interface
  • Live Connection to External Data
  • Snapshot of External Data
  • In-memory data model
  • OLAP (Pre-processed cube representation)
  • ROLAP (SQL-layer querying)
  • Multi-Data Source Reporting (Blending)
  • Data warehouse / dictionary layer
  • ETL Capability
  • ETL Scheduler

Supported Data Sources Features

Data sources that can be consumed by the application.

  • MS Excel Workbooks
  • Text Files (CSV, etc)
  • Oracle
  • MS SQL Server
  • IBM DB2
  • Postgres
  • MySQL
  • ODBC
  • Cloudera Hadoop
  • Hortonworks Hadoop
  • EMC Greenplum
  • IBM Netezza
  • HP Vertica
  • ParAccel
  • SAP Hana
  • Teradata
  • Salesforce
  • SAP
  • Google Analytics

BI Standard Reporting Features

Standard reporting means pre-built or canned reports available to users without having to create them.

  • Pixel Perfect reports
  • Customizable dashboards
  • Report Formatting Templates

Ad-hoc Reporting Features

Ad-Hoc Reports are reports built by the user to meet highly specific requirements.

  • Drill-down analysis
  • Formatting capabilities
  • Predictive modeling
  • Integration with R or other statistical packages
  • Report sharing and collaboration

Report Output and Scheduling Features

Ability to schedule and manager report output.

  • Publish to Web
  • Publish to PDF
  • Output Raw Supporting Data
  • Report Delivery Scheduling

Data Discovery and Visualization Features

Data Discovery and Visualization is the analysis of multiple data sources in a search for pattern and outliers and the ability to represent the data visually.

  • Pre-built visualization formats (heatmaps, scatter plots etc.)
  • Location Analytics / Geographic Visualization
  • Predictive Analytics
  • Support for Machine Learning models
  • Integration with R or other statistical packages

Access Control and Security Features

Access control means being able to determine who has access to which data.

  • Multi-User Support (named login)
  • Role-Based Security Model
  • Multiple Access Permission Levels (Create, Read, Delete)
  • Report-Level Access Control
  • Table-Level Access Control (BI-layer)
  • Field-Level Access Control (BI-layer)

Mobile Capabilities Features

Support for mobile devices like smartphones and tablets.

  • Responsive Design for Web Access
  • Dedicated iOS Application
  • Dedicated Android Application
  • Dashboard / Report / Visualization Interactivity on Mobile

The BI life cycle spans a continuum that begins with large amounts of disparate data and stretches to encompass people, technology, information, analysis, and decision making. The benefits of BI are substantial: new business capabilities for insight, forecasting, planning, agility, and strategy execution.
Realizing benefits is challenging. With many moving parts—infrastructure, technology, data, integration, analytics, applications, metrics, reports, dashboards, scorecards—putting the pieces together in the most effective way is difficult. Learn the basics of BI from end to end, with special attention to two of the most important factors for BI success: planning and collaboration. You are most able to chart a course for BI success when teams and stakeholders share common concepts, use consistent terminology, and contribute collectively to the BI vision.

You Will Learn

  • Meaningful and actionable definitions of BI
  • Effective ways to deliver BI: Web, mobile, desktop, etc.
  • Common kinds of BI reporting: ad hoc, published, enterprise, and operational
  • Performance management principles, including dashboards, scorecards, and KPIs
  • Business analyst principles, including OLAP, analytic modeling, and data visualization
  • Advanced analytics concepts for data mining, predictive analytics, and text analytics
  • Data management practices, including profiling, cleansing, and quality management
  • Data integration practices, including consolidation, virtualization, and data warehousing

Geared To

  • Anyone with a role in BI/DW programs who needs to understand the concepts and the full life cycle of BI
  • BI/DW managers and leaders seeking to increase the value and business impact of a BI program
  • Business andtechnical people who need to work together to implement BI
  • Teams that need to develop a common base of concepts and terminology for BI

Technical resources.

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