Nonprofit Organizations: Predictive Analysis

There are many international nonprofit and non-governmental organizations that educate and intervene with the global healthcare, with this and several other issues; there is also a huge impact pertaining within the issues that lye under the United States healthcare system. Nonprofit and non-governmental organizations strive to improve and analyze all the issues, there is much effort put in behind all of the organizations that are associated with improving education and global health care.

In this week’s lesson we are looking at the importance of having a chart of accounts in our nonprofit business. At HOPE which is the business that I support. The main focus is to house and provide support to those who are homeless, mentally ill and may be struggling with dual issues. Because there is a need in a nonprofit to show measurements to determine success in each area. Charts are created for every service area the HOPE supports ( Margolis, S. (2014, 11).

I enjoyed reading Chapter 11 especially what the author writes on page 281 as it summarizes the importance of a message. It keys on the relevance of accessibility, accountability, education, interaction, and empowerment. I think that is the key element of fundraising. I also believe that from a theory to reality there are some gaps. Nonprofits are often under tremendous pressure to perform with very little resources. Some nonprofits can navigate the process successfully and grow, while others do not.

I have been working for nonprofits since I entered the United States and no matter the size of nonprofit, all of them where subject to the amount of funding and donations they received. The ability of the charity to provide services was heavily dependent on funding. Some nonprofits like Riley Children’s Hospital receive a lot of funding from the government (state and federal) along with several private donors like athletes. But then there are the nonprofits like one I volunteered in my first month here. It is an outdoor learning center in one of the local elementary in Avon. When I volunteered there, the employee on duty explained that they obtained most of their funding from property taxes and the taxes were being reduced hence

When I graduate from Texas Southern University with my Master’s degree, I plan on starting a non-profit organization. When it comes down to creating my organization, I will use statistic for a lot of information. I will use statistic when discovering the average income of the area I am choosing to locate for my organization. As well as the average crime rate, the dropout rate of urban youths, unemployment rates, average age of gang members in the area, and the success rate of other organization in the area I choose as well. Each set of number would be very important to the success of my organization and I will need to make sure the numbers are properly found. Also the numbers are true to the census.

Nonprofits represent a huge sector in the United States that includes hundreds of thousands of different organizations. Community-based organizations VISIONS and the Center for Comprehensive Health Practice (CCHP) where I conducted informational interviews represent a significant segment of a community and provide human, social and education services that help to ensure a decent standard of community living. Organizations address the issues that affect the individuals in the society as well as a community. Both organizations provide a series of charitable activities that bring improvement and create sustained social change in the community.

Therefore, when it comes to the future of anticipation there are many organizations out there who raises funds and combat new probabilities. I believe it is essential not to focus on budget modification excessively due to fact that it is a major difference in budgeting for itemized activities and producing an authentic outcome within a certain timeframe; therefore, it may be a good practice for non-profit organizations to develop a tradition of financial

Having data is not valuable but using data is. Analytic insights are changing the way corporates strategize and also redefining customer expectations. Analytics is the new differentiator between success and failure in the cut throat e-commerce and internet services based industry. The huge proportions of data generated from the increasing number of smart phones, the social networks and the ever more penetrating internet are automating customer centric marketing and other services. The idea is to predict what a customer may want to buy even before the customer realizes what they need. The techniques to achieve these results are broadly classified as Predictive Analytics.

Technology is another segment that will have a major impact on Best Buy in the near future. Predictive analysis, social media, and multichannel retailing are trends that are most important in Best Buy’s general environment. Knowing your customers is a critical part to any industry, and predictive analysis is becoming one of the best ways to accomplish that objective. By correctly using technology to control the high volume and availability of data, companies can understand customers’ wants. A core competency of both Amazon and Netflix predictive analysis; based on previous purchases or views

The current challenges in analysis of student data is that it is gathered by various organizations and departments located in different geographical positions. In future, institutions of higher learning will integrate the all these information collection and storage points. For instance, the data on student grades, the latest course logins and attendance will be correlated to produce a more in-depth analysis of the student’s progress. Also, the system will be intelligent in that it will be able to learn from the previously collected data and offer suggestions. According to an interview of the Chief Operating Officer (CEO) heading the online Arizona State University portal, advanced use

To compete effectively in an era in which advantages are ephemeral, companies need to move beyond historical, rear-view understandings of business performance and customer behavior and become more proactive(tableau). Predictive Analytics is the use of data science for audience profiling. Generic audience profiling involves determining specific characteristics of your target audience and creating specific personas to represent each type of person within your target audience. Predictive analytics is essentially the same process, but from a data perspective (koozai). Predictive analytics can be used in wide areas in the industry, it’s importance is not constrained to a particular domain and ranges from marketing, telecommunication, retail, banking, etc. For example, the telecommunication industry has noticed a high customer churn since the switching costs are slim to none. So telecommunication companies operating in this industry are looking for new ways to differentiate themselves from competitors in order to retain customers. By using predictive analytics as a solution to this problem, they would be able to understand the customer needs, requirements and retain them also allowing them to acquire new ones more effectively. With predictive analytics, companies can predict trends, understand customers, improve business, drive strategic decision making and predict behavior. A company named Cox Communications, the third largest cable entertainment and broadband

We shall identify statistical tools and methods to collect data and also analyze data to determine the appropriate decision for the identified problem in A-CAT CORP forecasting.

This has taken the competition in this ever changing globalized world to another level quite literally. There is no room for outdated or 'gut feeling' method of conducting businesses. Predictive Analytics is a real game changer and s here to stay. From inventory planning,

Secondly, predictive analytics not only use statistical algorithms and forecasts on historical data but also anticipate likely situations to plan ahead. The means of these predictive models differs depending on their behaviour and future events but the aim is to go beyond reporting what has happened in providing the best assessment of what will happen. Data mining is an important component that tends to identify trends, patterns and relationship. They largely depend on statistical models and multivariate analysis techniques. Thereby decision making can be streamlined and new insights can be revealed leading to better decision making. Organisations are adapting to predictive analytics for competitive advantage. They are used in identifying trends, understanding customers, enhance business performance, predict behaviour and drive decision making. (SAS and Nyce)

The market is witnessing an unprecedented shift in business intelligence (BI), largely because of technological innovation and increasing business needs. The latest shift in the BI market is the move from traditional analytics to predictive analytics. Although predictive analytics belongs to the BI family, it is emerging as a distinct new software sector.