Business intelligence and data analytics involve analyzing data to extract useful information for decision making. BI tools provide trend analysis from multiple data sources, while BI technologies provide historical, current, and predictive views. BI architecture organizes data, information management, and technology components, while frameworks provide standards. Challenges include continuous availability, data security, cost, increasing users, new areas like operational BI, and performance/scalability. Leading vendors provide solutions like Google, Microsoft, Oracle, SAS, SAP, IBM, EMC, HP, and Teradata.

1. Business Intelligence and
Data Analytics
Haroon Karim

2. 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.

3. What is Big Data?

4. 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.

5. Concepts of Theory,
Methodology, Architecture,
Framework, Technology,
Tool, Environment

6. 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.

7. 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 ensureBI
reporting and analysis meets organizational requirements.

8. 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.

9. Leading Vendors providing solutions for BI, Big Data,
Data Analytics
• Google
• Information Builder
• Microsoft
• MicroStrategy
• Oracle
• SAS
• Business Objects
(owned by SAP)
• Cognos (owned by IBM)
• EMC
• HP
• Teradata

10. Conclusion