big data, business intelligence and data analytics
TRANSCRIPT
Business Intelligence and Data AnalyticsAli Arshad 11i-0242
Atif Saddique 12i-1614
Hasan Ibrahim 11i- 0128
What is Business Intelligence?
BI is a technology driven process for analyzing data and extracting useful information to help corporate executives, project managers and end users make informed decisions.
What is Big Data?
What is Data/Business Analytics?
Business analytics is the extraction of an organization’s data from statistical perspective. This process is used to gain useful insights and optimize business processes.
Concepts of Theory, Methodology, Architecture, Framework, Technology, Tool, Environment
Tool vs. Technology • BI tools provide trend analysis rather
than simply displaying data statically. They also help in combing data from multiple sources. Some current popular Bi tools are Tableau, QlikView, iDashboard etc.
• BI technologies provide historical, current and predictive views of business operations. Their most common functions are reporting, OLAP, data mining, bench marking and many more.
Architecture vs. Framework
• BI Architecture is set of frameworks for organizing the data, information management and technology components that are used to build BI systems for reporting and data analytics.
• BI framework provides standards and best practices required to ensure BI reporting and analysis meets organizational requirements.
Challenges of BI, Big Data, Data Analytics
• Continuous Availability
• Data Security and Workload Diversity
• Cost, BI has evolved and everybody has some form of BI in place now, as it is becoming a fairly substantial cost item. The overall cost of BI – the cost of technology, upkeep and implementation – is certainly one of the challenges that implementers are facing.
• The number of users are dramatically increasing.
• New areas of Operational BI and new Data sources.
• Performance and Scalability.
Leading Vendors providing solutions for BI, Big Data, Data Analytics
• Information Builder
• Microsoft
• MicroStrategy
• Oracle
• SAS
• Business Objects (owned by SAP)
• Cognos (owned by IBM)
• EMC
• HP
• Teradata
Conclusion