Residency Project

Team Members

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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