Birst BI Tool
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Business Intelligence Birst
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Birst BI Tool
- 1. PRESENTED BY: NAGESH NAGRAJ (12030141031) RAMINDER PAL SINGH (12030141033) DHAVAL SHAH (12030141076) NAMITA BRIJWASI (12030141082)s BI Presentation on
- 2. AGENDA Introduction Characteristics of BI Technology Deployment Features Awards and Recognition Demo
- 3. INTRODUCTION âą Birst Inc., a San Francisco-based on- demand business intelligence and analytics providerâoffering its solution in a private or public Cloud âą Founded in 2004 âą By Siebel Systems âą Cloud Based Platform
- 4. Typical characteristic of BI âą Align With Strategy âą Drive Value âą Ensure Accountability âą Can Be Easily Executed âą Maintain Quality and Consistency âą Manage Interdependencies
- 5. Technology
- 17. Features Self â Service BI Visual Discovery Reporting Analytics Dashboard Mobile
- 18. Analytics Provided SALES MARKETING FINANCIALS HR SUPPLY CHAIN RECURRING REVENUES
- 20. POSITION IN GARTNER MAGIC QUADRANT
- 22. DEMO LiveLive
Hinweis der Redaktion
- The Birst provides data warehousing, ETL, a semantic layer, and visualization capabilities through dashboards, reporting, ad-hoc, and mobile. Brad Peters - Co-Founder, CEO Paul 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 companyâs 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 organizationâs 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 solutionâs 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.