Business Intelligence Overview

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A short overview about Business Intelligence. What BI is in short, how BI market is growing, what vendors are operating in the market today. Future directions.

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Business Intelligence Overview

  1. 1. Blue BI Business Intelligence Workshop Claudio Menozzi (BI overview – reduced version for slideshare) December 2014 Blue BI Business Intelligence
  2. 2. Blue BI Agenda 23/12/2014 Blue BI s.r.l 2 What is Business Intelligence?1 BI Market Analysis3 Enabling BI: Datawarehouse technology4 BI output samples2
  3. 3. Blue BI Business Intelligence Definitions Blue BI s.r.l23/12/2014 3 Business intelligence (BI) is the set of techniques and tools for the transformation of raw data into meaningful and useful information for business analysis purposes. - Wikipedia The BI and analytics platform market is in the middle of an accelerated transformation from BI systems used primarily for measurement and reporting to those that also support analysis, prediction, forecasting and optimization. - Gartner - 2014 From Data to Knowledge to Action
  4. 4. Blue BI Data Availability Blue BI s.r.l
  5. 5. Blue BI Capabilities Blue BI s.r.l
  6. 6. Blue BI BI historical functionalities set Blue BI s.r.l
  7. 7. Blue BI BI Evolution: Data Visualization Blue BI s.r.l
  8. 8. Blue BI BI Evolution: Prescriptive and Predictive Analysis Blue BI s.r.l Fonte: Wikipedia Predictive analytics answers the question what will happen. This is when historical performance data is combined with rules, algorithms, and occasionally external data to determine the probable future outcome of an event or the likelihood of a situation occurring. The final phase is prescriptive analytics, which goes beyond predicting future outcomes by also suggesting actions to benefit from the predictions and showing the implications of each decision option. Prescriptive analytics not only anticipates what will happen and when it will happen, but also why it will happen.
  9. 9. Blue BI From BI to Business Enabling Blue BI s.r.l
  10. 10. Blue BI Agenda 23/12/2014 Blue BI s.r.l 10 What is Business Intelligence?1 BI Market Analysis3 Enabling BI: Datawarehouse technology4 BI output samples2
  11. 11. Blue BI Reporting Blue BI s.r.l
  12. 12. Blue BI Analytical Reporting: Olap Analysis Blue BI s.r.l
  13. 13. Blue BI Balance Scorecard/Dashboards Blue BI s.r.l The balanced scorecard is a strategic planning and management system that is used extensively in business and industry, government, and nonprofit organizations worldwide to align business activities to the vision and strategy of the organization, improve internal and external communications, and monitor organization performance against strategic goals. - Balance Scorecard Institute
  14. 14. Blue BI Balance Scorecard Blue BI s.r.l
  15. 15. Blue BI Dashboards Blue BI s.r.l
  16. 16. Blue BI Data Visualization (1) Blue BI s.r.l
  17. 17. Blue BI Data Visualization (2) Blue BI s.r.l
  18. 18. Blue BI Agenda 23/12/2014 Blue BI s.r.l 18 What is Business Intelligence?1 BI Market Analysis3 Enabling BI: Datawarehouse technology4 BI output samples2
  19. 19. Blue BI Business Intelligence functionalities Blue BI s.r.l Information Delivery • Reporting: Provides the ability to create highly formatted, print-ready and interactive reports • Dashboards: A style of reporting that graphically depicts performances measures. • Ad hoc report/query: Enables users to ask their own questions of the data, without relying on IT to create a report. • Microsoft Office integration: MS Suite acts as the reporting. Advanced integration includes cell locking and write-back. • Mobile BI: Enables organizations to develop and deliver content to mobile devices Fonte: Gartner - 2014 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms
  20. 20. Blue BI Business Intelligence functionalities Blue BI s.r.l Information Delivery • Reporting: Provides the ability to create highly formatted, print-ready and interactive reports • Dashboards: A style of reporting that graphically depicts performances measures. • Ad hoc report/query: Enables users to ask their own questions of the data, without relying on IT to create a report. • Microsoft Office integration: MS Suite acts as the reporting. Advanced integration includes cell locking and write-back. • Mobile BI: Enables organizations to develop and deliver content to mobile devices Fonte: Gartner - 2014 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms Analysis • Interactive visualization: Enables the exploration of data via the manipulation of chart images, • Search-based data discovery: Applies a search index to structured and unstructured data sources • Geospatial and location intelligence: Specialized analytics and visualizations that provide a geographic, spatial and time context. • Embedded advanced analytics: Enables users to leverage a statistical functions library embedded in a BI server. • Online analytical processing (OLAP): Enables users to analyze data and navigate multidimensional drill paths.
  21. 21. Blue BI Business Intelligence functionalities Blue BI s.r.l Advanced BI Functionalities • Scorecard: Scorecards are primarily delivered by corporate performance management. • Predictive Analysis: Encompasses a variety of statistical techniques from modeling and data mining that analyze current and historical facts to make predictions about future, or otherwise unknown, events. • Prescriptive Analysis: Enables users to ask their own questions of the data, without relying on IT to create a report. Fonte: Gartner - 2014 Gartner Magic Quadrant for Business Intelligence and Analytics Platforms
  22. 22. Blue BI What BI for end-users? Blue BI s.r.l
  23. 23. Blue BI Gartner Analysis Blue BI s.r.l Business Intelligence and Analytics Platforms Advanced Analytics Platforms
  24. 24. Blue BI BI Worlwide Market Blue BI s.r.l Fonte: Forbes
  25. 25. Blue BI BI market trends Blue BI s.r.l Fonte: Gartner
  26. 26. Blue BI Agenda 23/12/2014 Blue BI s.r.l 26 What is Business Intelligence?1 BI Market Analysis3 Enabling BI: Datawarehouse technology4 BI output samples2
  27. 27. Blue BI Datawarehouse Definition Blue BI s.r.l Data warehousing incorporates data stores and conceptual, logical, and physical models to support business goals and end-user information needs. A data warehouse (DW) is the foundation for a successful BI program. Creating a DW requires mapping data between sources and targets, then capturing the details of the transformation in a metadata repository. The data warehouse provides a single, comprehensive source of current and historical information. - TDWI (The Data Warehousing Institute)
  28. 28. Blue BI Datawarehousen architecture overview Blue BI s.r.l Datawarehouse Components • Data Integration • Quality Management • Master Data Management DWH Tasks • Aggregate and homogenize Data • Enable Historical Data • Data Integrity • Data Cleaning
  29. 29. Blue BI Datawarehouse definition by Bill Inmon Blue BI s.r.l A data warehouse is a subject-oriented, integrated, time-variant and non-volatile collection of data in support of management's decision making process. Subject-Oriented: A data warehouse can be used to analyze a particular subject area. For example, "sales" can be a particular subject. Integrated: A data warehouse integrates data from multiple data sources. For example, source A and source B may have different ways of identifying a product, but in a data warehouse, there will be only a single way of identifying a product. Time-Variant: Historical data is kept in a data warehouse. For example, one can retrieve data from 3 months, 6 months, 12 months, or even older data from a data warehouse. This contrasts with a transactions system, where often only the most recent data is kept. For example, a transaction system may hold the most recent address of a customer, where a data warehouse can hold all addresses associated with a customer. Non-volatile: Once data is in the data warehouse, it will not change. So, historical data in a data warehouse should never be altered.
  30. 30. Blue BI Gartner analysis: Data Integrator Tools Blue BI s.r.l Data acquisition for business intelligence (BI), analytics and data warehousing —Extracting data from operational systems, transforming and merging that data Consolidation and delivery of master data in support of master data management (MDM) — Enabling the consolidation and rationalization of the data representing critical business Data migrations/conversions —replacement of legacy applications during mergers and acquisitions. Synchronization of data between operational applications — ensure database-level consistency across applications, both on an internal and an interenterprise basis Interenterprise data sharing — receive data from, external trading partners Delivery of data services in a service-oriented architecture (SOA) context — Data integration tools will increasingly enable the delivery of many types of data services. Integration involving cloud-based data — Integrating a combination of data residing on-premises or in SaaS applications Big data initiatives — Supporting delivery of data to, and accessing data from Fonte: Gartner - 2014 Gartner Magic Quadrant for Data Integrator tools

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