1. PRESENTED BY:
NAGESH NAGRAJ (12030141031)
RAMINDER PAL SINGH (12030141033)
DHAVAL SHAH (12030141076)
NAMITA BRIJWASI (12030141082)s
BI Presentation
on
3. INTRODUCTION
• Birst Inc., a San Francisco-based on-
demand business intelligence and analytics
provider—offering its solution in a private or
public Cloud
• Founded in 2004
• By Siebel Systems
• Cloud Based Platform
4. Typical characteristic of BI
• Align With Strategy
• Drive Value
• Ensure Accountability
• Can Be Easily Executed
• Maintain Quality and Consistency
• Manage Interdependencies
The Birst provides data warehousing, ETL, a semantic layer, and visualization capabilities through dashboards, reporting, ad-hoc, and mobile.
Brad Peters - Co-Founder, CEOPaul Staelin - Co-Founder, VP Customer Success
designed for Software-as-a-Service (SaaS) Cloud delivery and on-premise deployment as a software appliance
Align With Strategy
Metrics must be customized to align with a company’s strategy and culture to measure its strategic goals. They should be clearly articulated and understood by everyone, have a strong supporting governance structure behind them, and have visible executive leadership commitment.
Drive Value
Metrics should focus on core financial and operational targets that make a difference by driving value. They should include both leading and lagging indicators and be reinforced with consequences for not achieving acceptable results.
Ensure Accountability
For a successful business intelligence program, there must be individual accountability and ownership for the organization’s performance against its goals. Accompanying the consequences for non-performance should be an incentive system that rewards ambitious goals.
Can Be Easily Executed
Metrics should be supported by user-friendly interfaces, intuitive design, simple-to-use systems and processes that allow management to gain insight from the information. This includes providing information at the right time so that it can be acted upon.
Maintain Quality and Consistency
A business intelligence solution’s metrics should represent the single version of the truth. Balance flexibility with standardization and provide consistency and transparency for maximum success.
Manage Interdependencies
Create an ongoing process that evaluates the effectiveness of the metrics you use and gather feedback on how you might improve the initial metrics you establish. If you need to, take corrective action and adapt your metrics over time, especially as external developments occur that might affect how the metrics are applied.
Save time and resources through automation
-compiles a logical dimensional model into a modern star schema design then generates and maintains fact and dimension tables
-manages all key relationships, including surrogate keys
-routines for loading data from staging tables into dimension and fact tables
-subject area for access to the full breadth of information
Advantage
-Easy addition of new tables
-Built-in support for cross-dimensional
Big Data Services makes it easy to collect large volumes of data
Unite structured and unstructured data
eliminates the upfront investment required deploy a Hadoop environment.