The description of how I can Improve Marketing Decisions and Reduce City Council Expenses using Data Analytics Methods.

The description of how I can Improve Marketing Decisions and Reduce City Council Expenses using Data Analytics Methods.

To improve the data marketing decisions of the city, a more advanced level of technology should be deployed. To this end, data analytics methods would play an integral role in providing citizens with relevant services, enhancing energy efficiency through creating greener environments while keen on reducing city council expenses. Data analytics allows the management to discover several market dynamics, take risks, and still anticipate possible market shifts. While making marketing decisions, the following data analytics methods will be embedded in my planning:

Text analysis: This is a method that uses a database to discover large data patterns. It is also known as the data mining method. I will employ this method to break down raw data that has been collected into marketing information. The market I will be operating in will presumably have business intelligence tools, which will, therefore, help in strategic decision making. I believe this discovery will create not only better governance of the city but also better health services. Generally, the method will help with the qualitative data examination, such as interviews and observations hence enhancing marketing decisions. Furthermore, it will eliminate too much guesswork emanating from marketing planning advertisements, development of products and services, and choosing the right content.

Statistical Analysis: The method will address the question that will arise from the past data retrieved from the dashboard. It will, therefore, involve collection, interpretation, analyzing, and presentation of data collected previously in the city council. There exist two categories of this type of data analysis- inferential and descriptive analysis. The statistical analysis technique will ensure that the city’s expense is reduced through offering services to the people with a better understanding of their exact needs. Moreover, I believe the method will give me an overall view of the people’s change in requirements since they are bound to change with time.

Diagnostics Analysis: the technique in question resolves the issue of what happened from the statistical analysis. It will be useful to identify data with different patterns. The city council requires better answers on what happened to the previous management in terms of good governance. The decisions made therein with unearth unhealthy behaviors that might have been propagated hence coming up with relevant marketing decisions.

Predictive Analysis: They anticipate what is likely to happen while keen to benchmark with the previously collected data. The analysis will concentrate on predicting future market trends based on the past and present database information. If, for example, garbage collection or inadequate health care services were reluctant, the method will enable the marketers to hatch new ways of solving the menace. It will also help anticipate future occurrences in terms of furnishing citizens with relevant information as regards to marketing dynamics and to make appropriate adjustments. Predictive analysis will also give me a roadmap and an array of options to pick from to tradeoff some services I consider time-consuming. Indeed, duplication of work and malpractices do flourish in an environment devoid of accountability and transparency. Together with my administration, such practices will seize to happen as the method will give us useful views about how the city council is performing—hence reduction in expenses.

Prescriptive Analysis: This is a combination of all other data analysis to determine which appropriate decision should be deployed. Therefore, the council will thoroughly examine a variety of problems affecting the community and address them appropriately. Issues such as health care, citizen empowerment, better governance, and public services will be analyzed through these methods. Additionally, the technology will be able to determine the most economical energy-saving technique that is environmentally friendly. Also, the decision made will be a landmark on how the business in the city council will operate. I believe it will provide more business opportunities for public companies, small business enterprises, and private firms.

With this strategic application of these data analytics methods, the city council will enhance development in terms of infrastructure to its citizens; hence they will be able to access services with ease. Again with centralized marketing and decision-making centers, people will be at liberty to air out their grievances whenever they feel mistreated. Subsequently, there will be consistent tax collection, which will be able to run the business of the city council with minimal disturbances.

References

Elgendy, N., and Elragal, A., 2016. Big data analytics in support of the decision making process. Procedia Computer Science, 100, pp.1071-1084.

Gandomi, A., and Haider, M., 2015. Beyond the hype: Big data concepts, methods, and analytics. International journal of information management, 35(2), pp.137-144.