Data Visualization for CFE

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Federal Electricity Commission (CFE) Mexico

The following essay consists of research and analysis for The Federal Electricity Commission (CFE) and the used technology. Second, the using of data visualization in CFE. Third, the befits of data visualization for CFE. Fourth, the business impacts of the technology on the company for the present and the future. Finally, the opportunity for improvement in data visualization of CFE.  

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CFE’s brief and the Used Technology

The Federal Electricity Commission (CFE) is a public-sector electricity company in Mexico. It is the leading power company in the country, which serves all the Mexicans. In Mexico, the government is responsible for monitoring and developing the national electrical industry, and CFE commences this mission. CFE generates, transmits, distributes electricity for more than 27.1 million customers through the country, which increases by one million customers per year. The power generation infrastructure consists of 177 generating stations with a capacity of 50373 megawatts (MW) (CFE, 2019).

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To present the information in an ideal way for consulting by company directors, CFE has implemented Corporative Information System (CIS) by gathering the data from CFE’s distinct legacy systems that holding the processing information. The CIS has used Digital Dashboards to serve the directors by providing the required information in an effective approach, which aids executives in strategic decision-making (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 177).

Data Visualization Business in CFE

CFE has used digital dashboards as data visualization technology through its business processing. The digital dashboards provide dynamic indicators of the distinct processes in global situations. So, the technology provides a tool for navigating the company information, which serves the executive through decision-making. Indeed, when the dash board indicates abnormalities, the executive may go to the details through the general indicators to figure out the issue. CFE has used active server pages with macromedia technologies to implement the digital dashboards, which are accessible in the intranet of the company (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 180).

The implemented technology has standardized the queries with the related data in frames, which are generated by html. Moreover, it collects the data in groups to be shared and loaded together in the dash board pages. The requested information will be presented as per the executives’ preference, such as pie charts, bar graphs, tachometers, tables, stop lights and distinct graphical. Indeed, the required appearance of the information will be designed by the requester as needed. Finally, parallel dashboards may develop, which most requested by top management who willing to have aggregated information and indicators (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 181)

Benefits of Data Visualization in CFE

CFE had established Digital Dashboards as a data visualization technology to advance its CIS in four areas. First, to be competitive in the online analytical processing to serve the applications of marketing and finances. Second, meeting the growth of server/ client processing and capacities. Third, meeting the appearance of the modern appearance of the data, which supports the difficulty of data structures. Fourth, the wide use of connections, either by internet or intranet (Chaudhuri & Dayal, 1997, pp. 66-70).

In CFE’s case, the dashboards and CIS have served CFE to handle the huge volume of information. Indeed, the provided technologies have served the data maintaining for different sources. First, 18.5 million customers throughout the country. Second, 150 power stations those generating 35 Giga Watts in different locations of the country. Third, the transformation and distribution for 106 GVA through 35000 km transmission lines. Fourth, the business operations for more than 75543 employees in different branches throughout the country (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 178)

The Present and Future Impacts for Data Visualization Through Time

The impacts of the implemented technology will be figured in different perspectives. First, the data will be easily accessible as per the business needs for the specified authority. Second, the decision makers will be more convinced upon their decision based on accurate data. Third, the important data will be easily indicated, which will serve the data analysis tools. Fourth, the reliability of the data will be guaranteed due to CIS integration with the dash board. Fifth, the decision making of the company will be prober for its strategic purpose. Sixth, the required tools to serve the structured or complex quires will be provided for the executives’ levels, which will promote the decision making process (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 181).

According to (Turban, 2018), the dash board will have positive impacts on the business. First, the visibility of the business will be promoted due to the minimizing of the blind spots of the business, which will be reflected on the detection of the opportunities and threats of the business. Second, continuous improvement will be demonstrated since the required measurement of the performance will be existing. Third, the decision time will be minimized due to the single sign-on for the organized data with easy access.  Fourth, the accuracy and automation of the data controls will lead to figuring out the deviations from what planned and implemented. Fifth, the accountability for the employees will be promoted when the performance tracked within the organization (Turban, 2018, p. 348).

Opportunity for Improvement in The Data Visualization

CFE may promote its data processing by implement and integrate IoT into its existing system. IoT is a system of unified totaling devices or digital instruments furnished with unique identifiers, which could transmit data over a network. So, CFE will guarantee more accuracy for the data sourcing for the exciting system by implementing such kind of technology (Patrick, 2016)

Conclusion

CFE is a public-sector electricity company in Mexico. It is the leading power company in the country, which serves all the Mexicans (CFE, 2019). CFE has implemented Corporative Information System (CIS) by gathering the data from CFE’s distinct legacy systems that holding the processing information. The digital dashboards technology has used to serve the directors by providing the required information in an effective approach, which aids executives in strategic decision-making (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 177). The digital dashboards provide dynamic indicators of the distinct processes in global situations, which provides a tool for navigating the company information (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 180). The requested information will be presented as per the executives’ preference, such as pie charts, bar graphs, tachometers, tables, stop lights and distinct graphical in parallel approach (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 181). The benefits beyond technology have figured as; to be competitive in the online analytical processing, meeting the growth of server/ client processing and capacities, meeting the appearance of the modern appearance of the data and the availability of wide use of connections (Chaudhuri & Dayal, 1997, pp. 66-70). The impacts of the implemented technology has figured as; accessibility of the data as per the business needs, the decisions based on the accurate data, the important data will be easily indicated, the reliability of the data will be guaranteed, the decision making will be for the strategic level and the required tools to serve the structured or complex quires will be provided for the executives’ levels (Mejía-Lavalle & Arroyo-Figueroa, 2010, p. 181). CFE may integrate IoT to guarantee more accuracy for the data sourcing as an opportunity for improvement  (Patrick, 2016).

References

CFE. (2019). Retrieved from https://www.cfe.mx/Pages/Index.aspx

Chaudhuri, S., & Dayal, U. (1997). An overview of data warehousing and OLAP technology. SIGMOD Rec. Vol. 26, N(1), 65-74.

Mejía-Lavalle, M., & Arroyo-Figueroa, G. (2010). Construction of a Corporative Information System for an electric power company. IEEE 14th International Conference on Intelligent Engineering Systems, 177-182.

Patrick, M. (2016). How Will the Internet of Medical Things Change Healthcare? Electronic Design.

Turban, E. P. (2018). Information Technology for Management: On Demand Strategies for Performance, Growth and Sustainability, 11th Edition. WILEY.

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Daniel Fortune

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