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Investigation of Business Intelligence and Analytics tools

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Investigation of Business Intelligence and Analytics tools

 

Introduction

Business Intelligence and Analytics is important to collect raw data for any business organization. Furthermore, raw information is processed with the help of various tools and techniques. Data is the most important factor for any business to grow and achieve successful outcomes. BI can be defined as processes that acquire, clean, integrate and store data relevant to business enterprises (Nelson, 2010). Additionally, some of the features of BI and Analytics is reporting, querying, OLAP, and dashboards. According to Gartner reviews, Amazon Quicksight is one of the BI technology with 4.2 ratings. It is one of widest used business analytics tool that converts raw data into business-relevant information. Henceforth, the purpose of this report is to analyze Amazon Quicksight BI tool and its use in the best case scenario. Further, to investigate it’s capabilities to several businesses and how can they benefit other enterprises.

Benefits of Business Intelligence and Business Analytics

There are several key benefits of using Business Intelligence and Business analytics tools.

  • Business Intelligence and Analytics identify customers that bring profit and customer loyalty (Babu, 2012). Thus, BI tools will provide customer loyalty management so that business could grow further.
  • BI technologies gather sensitive information on criminal record and cybersecurity threat (Chen, Chiang, and Storey, 2012). As a result, it is easy to provide security and public safety by gathering information about threats.
  • BI tools and techniques provide flexibility to the business organization effectively. They provide decision-making process which automatically resolves complex business processes (Işık, Jones and Sidorova, 2013).
  • The business knowledge conversion has become easy and widely popular in enterprises. Several issues can be resolved internally, for example, increase the response rate for email and telephone (Babu, 2012).
  • The analytics report generates faster with BI capabilities so that the enterprise could work on other issues.

Drawbacks of Business Intelligence and Business Analytics

  • Lack of expertise in handling the Business Intelligence and Analytics tools make difficult to operate (Rahman et al, 2016).
  • Data storage and management of business information is difficult to process on such complex tools (Balachandran and Prasad 2017).
  • The BI tools are quite expensive and cannot be implemented by small scale organizations for complex processes.
  • Time-consuming to analyse statistical data and information that is completely raw in nature.

Amazon Quicksight

Business Intelligence and Analytics tools provide an effective way so that raw data could be converted into meaningful information. Similarly, in this investigation, we introduce Amazon Quicksight a BI tool. This is popular among masses and offers several benefits to business organization. It is a business analytics service that creates a visualization, perform ad hoc analysis, and deliver business information that is reliable for companies (“What is Amazon Quicksight,” 2019). The investigation shows that BI tools and techniques such as Amazon Quicksight resolve several issues effectively. Some of its features are data source and data management, visualization, analysis of data, dashboards and much more curating techniques.

Best Case Scenario

  • Provide Business Analytics by fast report generation only by clicking the data source effectively.
  • Amazon Quicksight integrates various platforms for data accessibility, for example, EMR, RDS, dynamic DB, S3, Redshift, spreadsheet files, Salesforce cloud and on-premise databases (Alston and Franks, 2019).
  • Account Management facilities so that accountants can generate billing and other relevant information.
  • Suggest the best visualizations for sales and marketing teams at the business organizations.
  • Tell a story from data by the development of data dashboards, share insights and collaborate with other members (“What is Amazon Quicksight,” 2019).
  • Managers could use BI and analytics tools for curating data and information that is relevant to their businesses.

 

Unappropriated Choice

Amazon Quicksight is not appropriate for the fowling users as it does provide that many capabilities.

  • Android users cannot use this type of application as there is no such BI tool facility is present (Smallcombe, 2019). Amazon Quicksight does not provide anything on android platform.
  • Project managers cannot utilize features of chart and graphs as there are only limited facilities available.
  • Lack of Visualization capabilities which are used by the sales and marketing team for business addressing issues (Smallcombe, 2019).
  • Implemented for small scale companies however, cannot deal with large complex data.

Amazon Quicksight Working

The work process of Amazon Quicksight is quite simple. First, you can add a data source from any platforms. Next, data preparation is done in which reports are developed by adding names. Furthermore, data visualization can be accomplished after preparing data with the help of charts, graphs and images. After making a connection with data and data set, analysis reports are developed and shared among everyone through the dashboard. Henceforth, we have provided snapshots in the next section.

Snapshots

The process of Amazon Quicksight involves the following steps.

Step 1. Connect to data present on AWS cloud, corporate data centre, files or SaaS platforms.

Amazon Quicksight Landing Page

Connect to the data present on other platforms.

Select Tutorial Videos.

Step 2. Get Ready for Analysis

  • Prepare Data for Analysis

The data preparation is of three types, for example, file data, Salesforce data and database data.

File Data

 

Salesforce Data

Database Data

  • Create a Data set
  • Share with analysis

Step 3. Analyze the Data

  • Examine the data
  • Visualize and Design
  • Share Dashboard

Step 4. Make Better Decisions

  • Change visual location.
  • Change Visual Size
  • Change Visual Colors
  • Set New colours for Visuals

 

User Interface Snapshots

  • Start Page
  • Choose Language

Conclusion

To conclude, our investigation was successful and we found various conclusions for Business Analytics tools. For instance, BI tools provide analysis of data that is raw and convert them into effective business relatable information. Additionally, there are several benefits to implementing BI and analytics. Amazon Quicksight is one of the technologies that provides various benefits to business organization. However, it is appropriate for use in large and complex data creation. On a closing note, Amazon Quicksight is used in small scale organization due to medium visualization, automatic report generation and other basic features. But, it limits for android platforms, chart and graph features, as well as lack of visualization capabilities.

 

 

 

References

IşıK, Ö., Jones, M. C., & Sidorova, A. (2013). Business intelligence success: The roles of BI capabilities and decision environments. Information & Management50(1), 13-23.

Babu, K. V. S. N. (2012). Business intelligence: Concepts, components, techniques and benefits. Components, Techniques and Benefits (September 22, 2012).

Chen, H., Chiang, R. H., & Storey, V. C. (2012). Business intelligence and analytics: From big data to big impact. MIS quarterly36(4).

Nelson, G. S. (2010, March). Business Intelligence 2.0: Are we there yet. In SAS Global Forum (Vol. 2010).

Rahman, A. A., Hasan, N. A., & Lahad, N. A. (2016). Issues and Challenges in Business Intelligence Case Studies. Jurnal Teknologi, 78(8-2).

Balachandran, B. M., & Prasad, S. (2017). Challenges and benefits of deploying big data analytics in the cloud for business intelligence. Procedia Computer Science112, 1112-1122.

Smallcombe, M. (2019). Amazon Quicksight: Overview and Review. Retrieved 17 September 2019, from https://www.xplenty.com/blog/amazon-quicksight-overview-and-review/#disadvantages

Alston, A., & Franks, J. (2019). AWS QuickSight: Delivering Insights at Scale, Without the Enormous Price Tag – Credera. Retrieved 17 September 2019, from https://www.credera.com/blog/technology-insights/aws-quicksight-delivering-insights-scale-without-enormous-price-tag/

What Is Amazon QuickSight? – Amazon QuickSight. (2019). Retrieved 17 September 2019, from https://docs.aws.amazon.com/quicksight/latest/user/welcome.html

 

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