Business Intelligence Tools: Analysis, Comparison, and Recommendations

This report examines business intelligence (BI) tools, highlighting their role in enhancing business processes and strategies. It discusses the characteristics of BI tools such as self-service reporting, in-memory analysis, and data visualization. The report also addresses the challenges of adopting BI tools, including data integration and employee training. Several commercially available BI tools, including Sisense, icCube, Domo, and IBM Cognos Intelligence, are compared. The report recommends IBM Cognos Intelligence as the most effective tool for complex organizations, emphasizing its ability to streamline data management and strategic implementation. The conclusion stresses the importance of BI technologies in providing historical, current, and predictive insights, while also emphasizing the need for robust security measures. The report also includes references to academic sources.

Business intelligence

INTRODUCTION
Innovative and creative technologies and Business intelligence
tools in its business process increases the overall output of
organization.
It creates new strategies for the business opportunities.
It results to competitive market advantage and long-term
strategies.
Business intelligence consists of strategies and technologies
for the innovation work process.

CHARACTERISTICS OF THE BUSINESS INTELLIGENCE TOOL
• Self – Service reporting
• Fast implementation of the process system.
• In- memory analysis
• Report scheduling
• Easy handling of database program (Broda, Oracle
International Corp, 2015).

USE OF DATA WAREHOUSE TRANSFORMS
OF BUSINESS INTELLIGENCE
 Increased data visualization
 Office integration
 Safe and secure data base management and formulated strategic
plans (Boselli, et al. 2017)
 Strategic plans and designing strategy to mitigate the busienss risk

ISSUES OF ADOPTING BI TOOLS
 The complication to handle the business
intelligence tool
 Reporting analyzing across multiple systems
 Unlocking data buried in the system
 Uploading and pulling data from the server

BI-CENTRIC COLLABORATION
Follow of proper analytical program and training program.
Analyzing the newly developed BI system.
Proper training and development of employees
Hiring of Experts employees to handle BI process system (Qureshi, Khan, and Saif,
2017).

COMMERCIALLY AVAILABLE BUSINESS
INTELLIGENCE TOOLS
Sisense – Increase the reporting frameworks
icCube – It put emphasis upon the software application and work
development.
Domo-BI tool brings together all the people, data, insight business
users to identify the details of the organization.
IBM Cognos Intelligence- The most advance BI tool which increases
the overall outcomes of the busienss (Broda, Oracle International
Corp, 2015).

COMPARISON OF THE IDENTIFIED TOOLS
IBM Cognos Intelligence-The new IBM Cognos Intelligence
is installed in the business process of the organization so
that communication and process functions could work
through the set one dashboard mechanism .
This system is highly attractive towards the organization
which will make the business process more easy (Sanyal,
et al. 2018).

RECOMMENDATION
• IBM Cognos Intelligence BI tool is the most effective
tool.
• Company should adopt IBM Cognos Intelligence BI tool
in the business process to increase the overall
effectiveness.
• Complex structured organization would prefer IBM
Cognus BI tool to manage data and implement effective
strategy.

CONCLUSION
• BI technologies provide all the historical current and
the future predictive views of the business operations
• It will make busienss process easy and effective.
• It will increase the overall outcomes of the
organization.
• First needs to focus on the safety and security
measures by installing anti-virus software's.

REFERENCES
Boselli, R., Cesarini, M., Marrara, S., Mercorio, F., Mezzanzanica, M., Pasi,
G. and Viviani, M., 2017. WoLMIS: a labor market intelligence system for
classifying web job vacancies. Journal of Intelligent Information Systems,
pp.1-26.
Broda, T., Oracle International Corp, 2015. Method and apparatus for a
multiplexed active data window in a near real-time business intelligence
system. U.S. Patent 9,094,258.
Qureshi, N.A., Khan, B.A. and Saif, J.A., 2017. Business Intelligence
Systems in the Holistic Infrastructure Development Supporting Decision-
Making in Organisations.
Sanyal, M.K., Biswas, B., Roy, S. and Bhadra, S., 2018. A Proposed Model
to Integrate Business Intelligence System in Cloud Environment to
Improve Business Function. In Information Systems Design and Intelligent
Applications (pp. 282-292). Springer, Singapore.