Real time Business Intelligence

Transcription

1 Real time Business Intelligence

2 Agenda Real-time Business Intelligence Some misunderstandings Some definitions Relevant topics Technologies Open source and RT Business Intelligence Conclusions Q&A

3 Some misunderstandings Real-time = operational data on operational data source Real-time = exactly when things happen Real-time = always when things happen Real-time doesn t make DWH outdated

4 Some misunderstandings OUT - OUT

5 What means now?

6 Some definitions Right-time BI: The biggest advance I have seen over the past year is that companies are beginning to understand that there are many different types of real-time processing, each with its own uses, benefits and issues. IT staff are also realizing that right time is a better term to use than real time. Right time implies that different business situations and events require different response or action times. When planning a right-time processing environment, it is important to match technology requirements to the actual action times required by the business - some situations require close to a real-time action, whereas with others, a delay of a few minutes or hours is acceptable. Colin White, Now is the Right Time for Real-Time BI, Information Management Magazine, September, 2004.

7 Some definitions Operational BI There is now a need to use BI to help drive and optimize business operations on a daily basis, and, in some cases, even for intraday decision making. This type of BI is usually called operational business intelligence. Colin White, The next generation of Business Intelligence: Operational BI, DM Review, May, 2005

8 Some definitions Event-Driven BI / BAM Rather than depending on batch extraction, loading into a data warehouse/data Mart and running reports to check operational status, pure-play BAM systems are automatically triggered and update by events that are important to the business. Analytics are run on the events as they are generated and actions are taken immediately Diaz Nesamoney, BAM: Event-Driven Business Intelligence for the Real-Time Enterprise, Information Management Magazine, March, 2004

9 Towards a definition

10 From wikipedia Real-time business intelligence is the process of delivering information about business operations as they occur. In this context, real-time means a range from milliseconds to a few seconds after the business event has occurred. While traditional business intelligence presents historical data for manual analysis, real-time business intelligence compares current business events with historical patterns to detect problems or opportunities automatically. This automated analysis capability enables corrective actions to be initiated and or business rules to be adjusted to optimize business processes.

11 Relevant topics Historical data (DWH) up to yesterday (as closed as possible to today) Right-time data for today Selective real-time Rules for relevant events detection Think to EII/EAI instead of read data from operational rdbms Many technologies work together Combined logic for data latency

12 Technologies Technologies for a real-time Business Intelligence solution: EII/EAI, to get data from applications without the ETL delay SOA, for an open, flexible, and bidirectional relation between analytical and operational world CEP, to detect complex events over data BAM, to monitor technical and business activities Alert, to immediatly notify alarms KPI, for a synthetic and meaningful view of your business Analytics, to relate current data with historical ones Devices, for a ready detection and reaction Collaboration, to share information and collaborate for actions

13 Technologies and OS Technologies and Open Source products EII/EAI: Spagic SOA: Spagic CEP: ebam BAM: ebam, SpagoBI Alert: ebam, SpagoBI KPI: SpagoBI Analytics: SpagoBI Devices: SpagoBI Collaboration: SpagoBI

14 EII/EAI/SOA - Spagic

15 EII/EAI/SOA - Spagic

16 CEP/BAM - ebam

17 KPI, Alert, Analytics, Monitoring: SpagoBI

18 SpagoBI for BAM Integration with the CEP engine provided by ebam (real- ( events time Advanced Web Console, RT refresh KPI Alarms and notify Static graphs for the historical analysis of processes Analytical tools (reports, charts, OLAP, QbE, interactive cockpits) for historical and aggregated analysis Collaboration

19 Devices: SpagoBI

20 Collaboration:SpagoBI

21 Conclusions Technology is ready Products are ready Open Source is ready! Are companies ready? Operative decision makers Shared information Trasparency Widespread responsability

22 Open Discussion

23 Questions & Answers