Residency Project
Emerging Trends in Data Analytics and Business Intelligence
Team Members
Student Name
Student Name
Student Name
Student Name
Introduction
Increasing Operational Efficiency with Business Intelligence and Analytics
Data Analytics and BI in Cloud computing
Location Based Analytics
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Business Intelligence and Analytics
Why do Organizations need BI?
Solve Business problems
Improve Customer relationships
Increase Operational Efficiency
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Business intelligence and analytics are in high demand as organizations seek to use information assets to improve business outcomes, customer relationships, and operational efficiency. Yet, it has perhaps never been more challenging to keep up with the changing demands and expectations of a growing BI and analytics user community. IT-driven application development, limited access to historical data, and canned business reports are no longer satisfactory. Users want more control, better visualization and analysis capabilities, and faster development cycles
Applications of BI
Enterprise Reporting
Ad hoc Reporting
Self service Analytics
Real time Analytics
Mobile Analytics
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Evolution of BI
Analytics as a service
Migration of traditional BI to cloud BI
Use of AI to automate real time decision making
Integration of AI and visual analytics
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Predictive Analytics, data mining leads new analytics software change
Data Analytics and BI in Cloud Computing
Why do we need Cloud Computing?
Building Infrastructure is difficult
Utilize cloud computing for powerful analytics
Highly scalable and secure applications
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It is very difficult to build infrastructure for highly reliable data. So, we utilize cloud computing for powerful analytics
How companies can adopt Cloud Computing?
Understand the determinants of Cloud Computing
Build Strategies by analyzing cost
Study Applications
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I
Advantages
Cost
Performance
Security
Pay as you go
PROS AND CONS
Disadvantages
Compliance
Migration of mission critical applications
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Cost – no upfront cost. Capital to operational
Performance: analyze big data
Security: in-build security is provided by the vendor
Disadvantages: Loss of critical information when the servers go down
Location Based Analytics
Applications
Geo-based analytics
Postal services
Web Applications
Marketing, Sales and Retail
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Advantages
Real time tracking of deliverables
Provide personalized experience to customers
Pros and Cons
Disadvantages
Compliance
Migration of mission critical applications
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Cost – no upfront cost. Capital to operational
Performance: analyze big data
Security: in-build security is provided by the vendor
Disadvantages: Loss of critical information when the servers go down
Recommendations
More improved network connectivity
Educating consumers with the usage of location based services
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THANKS!
References
Hung, S.-Y., Huang, Y.-W., Lin, C.-C., Chen, K.-c., & Tarn, J. M. (2016). Factors InfluencingBusiness Intelligence Systems Implementation Success in the Enterprises. Pacific AsiaConference on Information Systems.
Wattal, Suneel & Kumar, Ajay. (2014). Cloud computing - An emerging trend in informationtechnology. 168-173. 10.1109/ICICICT.2014.6781273.
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