Discussion and Response Forum Data Visualization & GIS

Visualization and geographic information system can be applied in many departments such as human resource management, accounting, finance, development, production, purchasing, and marketing. All these main units are interconnected to behave as a single unit with similar functions. Tools for data visualization can be used for communication. I will prefer QlikView as a data visualization tool to offer better and powerful analytics of business. Intelligence and enterprise can report capabilities. Wang and Alexander (2015) use the tool to deploy from the IT department (Adams, 2014). Aguado et al (2018) used the tools to report the department to reflect the progress along with the monitoring process. Tableau is another tool that can be used for data visualization and organize the data. The geographic information framework (GIS) can be used to separate and show the multidimensional information. This program can provide information about geospatial locations. Archambault, Helouvry, Strohl, & Williams, (2015) provides the data visualization framework using simple methods such as tables, scatter plots, bar charts, line chart, infographics, and pie chart. These methods provide evidence-based libraries to collect the data and support the accreditation standards. Proper data visualization allows the user to communicate their message compellingly and interestingly. Raghav et al (2016) used the growth of data process through the database. organizations can enhance the processes through different services (Raghav, Pothula, & Vengattaraman, 2016). The recent exploration of a data visualization system describes different technologies and tools according to the support of learning. For me, the best data representation tools are charts and graphs that enable a layman to understand the facts and information. In the real world, data analytics is used in different processes such as business analytics, social network analytics, business impact analytics and other important data representation and analysis methods (Archambault, Helouvry, Strohl, & Williams, 2015).

References

Adams, N. (2014). Data analysis for network cyber-security. Cyber-security, 07(23), 01-30.

Archambault, S. G., Helouvry, J., Strohl, B., & Williams, G. (2015). Data visualization as a communication tool. Library Hi Tech News, 32(02), 01-09.

Raghav, R. S., Pothula, S., & Vengattaraman, T. (2016). A survey of data visualization tools for analyzing large volume of data in big data platform. 2016 International Conference on Communication and Electronics Systems (ICCES), 01(02), 01-10.