The Contribution of African American Women Essay - 506 Words

The Contribution of African American Women I am not the first. I am not the first Black woman to attend a college or university. I am not the first Black woman to exercise her right to vote. I am not the first Black woman to dream, to be so hopeful for positive change that she sees possibilities in bleakness. I am not the first Black woman to know how it feels to be rejected instead of accepted, to be humiliated instead of acclaimed, to be passed over without lambs blood smeared on her door. I am not the first Black woman to experience America. I stand as a pair of footprints to be made in the sands of time. Before me lay the tracks of my predecessors; brilliant Black women who mastered the art of bending without caving. They†¦show more content†¦Women like Shirley Chisholm made priceless contributions to improve minority life within our nation. They knew why the caged bird sang, but did not want future generations to sing its song. These women possessed the gift of sight and their visions went beyond themselves and their communities. It was not just enough to help a select few; everyone had to gain or there would be no forward motion. One of these phenomenal women, Shirley Chisholm, was the first Black woman ever elected to Congress and the first Black/ woman to pursue a presidential nomination. One of her memorable quotes explains her standpoint on being a politician and a minority: â€Å"I am not the candidate of Black America...I am not the candidate of the womans movement... I am the candidate of the people.† Unbought and unbossed, Chisholm was not afraid to ruffle a few feathers in order to create opportunities for minorities within the United States. Initially, some of her alliances within Congress were viewed as controversial; however they later allowed her to push some of her most important issues to the political forefront. She laid the foundation for the credibility of todays leadin g Black politicians like Condoleeza Rice and Barack Obama. The women of my mother and grandmothers generations made lasting contributions to our society. I have been able to grow in their luminance. Because of them, I have been granted opportunities that theyShow MoreRelatedEssay about Maya Angelou682 Words   |  3 Pagesentertainer, she is known best for her strong portrayal of African-American women. Some of her most outstanding work is the series of autobiographies that she wrote telling about her childhood. Her work has contributed immensely to Americans everywhere. She has also broken many barriers for black women in writing, entertainment, and in film making. Maya Angelou is definitely a positive role model to people everywhere. 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Managing Multi Generation Workforce - A New Challenge

MANAGING MULTI-GENERATION WORKFORCE – A NEW CHALLENGE IN I.T. INDUSTRY By: Nidhi Chandorkar Bunts Sangha’s S.M. Shetty College of Science, Commerce Management Studies, Powai ABSTRACT: Today is the time which can be marked when we can see four generation rubbing their shoulders more or less happily under the same roof of an organisation. Though these generations show drastic variations in terms of their values, commitments, motivational factors, dissatisfiers, work environment, approach towards job etc., yet every generation has got some exceptional benefits for the organisation. Organisation cannot afford to value any of them less than the others. Talking about IT industry, we can hardly see anyone from the oldest generation who are called as the Traditionalists. As the IT sector has reached its forties you can find atleast three generations Baby-Boomers, Generation X and Generation Y joining hands for the success of the organisation. Easier said than done, managing these three generation has given a tough time to the top managers. The industries have seen their employees below 25 years of age growing into more matured workforce and their changed focus have forced the Human Resource Managers to change their basic policies, which were initially made for care free employees recruited freshly from the campus. This situation has not only posed a challenge in terms of managing the differences but also making them work under same policy framework. This research work helps inShow MoreRelatedUnderstanding And Managing The Generational Gap1203 Words   |  5 PagesUnderstanding and Managing the Generational Gap Julie Boyer Professor Crystal O’Brien BUSN 105 26 November, 2016 Understanding and Managing the Generational Gap The workforce is seeing up to five generations working together for the first time in history. People are choosing to work longer and delay retirement. 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Being aware of different workplace standards between these generations is taken into consideration to reduce â€Å"pain points† (CalvertRead MoreThe Human Resource Director For St. Anthony758 Words   |  4 Pagesat varying professional levels, ranging from staff recently exiting our recovery program to medical Doctors. Multi Generational Workforce The most prominent change in the workforce affecting human resources is the rise of a multi generational workforce. Providing different human resource needs to various employees is an emerging challenge for Judie. 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Whereas much of the global leadership learning and development is from experience and business challenges, the combination of a leader’s ability to intuitively learn through engagement and predisposition is also recommended. Technological Savvy Significance and Leadership Influences An article posted in the Forbes business section (Forbes.com)

Data security and privacy protection issue in cloud †Free Samples

Questions: 1. Define and explain the concept of the following terminologies: Electronic Records Management; Business intelligence (BI) and Analytics; Data and text mining; Big data analytics and data discovery; Enterprise architecture; Management information systems; Data life cycle and data principles; Cloud computing. 2. How does "data and text mining" create business value? 3.What are the problems associated with cloud computing? Give two examples and provide some solutions.. Explain your answers. 4. Study "Data Quality Determines Systems Success and Failure" in your text book [Chapter 2,IT at Work 2.1] and answer the following questions: Why was an EIS designed and implemented? What problems did executives have with the EIS? What were the two reasons for those EIS problems? How did the CIO improve the EIS? What are the benefits of the new IT architecture? What are the benefits of data governance? 5. Study "Opening Case 3.1: Coca-Cola Manages at the Point That Makes a Difference" in your text book [Chapter 3] and answer the following questions: Why is it important for Coca-Cola to be able to process POS data in near real time How does Coca-Cola attempt to create favorable customer experiences? What is the importance of having a trusted view of the data? What is the Black Book model? Explain the strategic benefit of the Black Book model. Answers: Answer 1 Electronic record management is a program or a set of programs that is designed to store records digitally. Generally a software is used in creation and maintenance of records. Business Intelligence analytics refers to use of different technologies, application and practices for collection, integration, analysis and proper presentation of business information (Chen, Chiang Storey, 2012). Data mining deals with the examination of one or more pre existing database gathering certain required information (Wu et al., 2014). Text mining on the other hand refers to the process of derivation of quality information from text or unstructured information. Big data analytics refers to the idea and strategy of investigating large and different or varied types of data sets, which helps in uncovering the hidden patterns and unknown correlations (Kambatla et al., ). Data discovery is related to business analytics and deals with the collection of data from different databases. Enterprise architecture can be defined as a conceptual blueprint for defining the structure and operations of a particular organization (Lapalme, 2012). It examines how an organization will be able to achieve its goals, both current and future. Management information system can be defined as a computerized database for organizing and managing the financial operations and information in an organized manner (Laudon Laudon, 2016). It is capable of producing regular reports associated with the operations of the management in every level. Data life cycle can be defined as a sequence of stages that gives an overview of a data from its initial generation to its archival or deletion (Chen Zhao, 2012). There are six major stages in a data life cycle, which are generation or data capture, maintenance, active use, publication, archiving and purging. Cloud computing is a process and use of a network based on remote that are hosted over internet that helps in managing, storing and processing the data instead of using a local server. It can be also termed as delivery of computing services over internet (Dinh et al., 2013). Answer 2 Data and text mining helps in analyzing the customers behavior and market competition from the set of collected data. This not only improves competitive advantage in business, but also helps in identifying the latest trends in the market place (Witten, et al., 2016). Since text mining deals with examination of unstructured data as well, it helps an organization in risk and threat detection. Furthermore, it increases customer engagement and helps in taking better business decisions, thus creating business value for the organization. Answer 3 There are certain issues that are applicable to cloud computing. The different risks are as follows (Zissis Lekkas, 2012)- There is a high chance of data breach and unauthorized access to the customer and business data stored over an insecure business network. Therefore data security concern is one of the major problems associated with cloud computing. Cloud computing includes dependency on service providers. For ensuring uninterrupted services, it is essential to acquire a vendor service. Selection of a proper vendor is another major problem associated with cloud computing. The problems associated with cloud computing can be solved by implementing proper security mechanisms such as encryption and authentication to prevent breach of the data stored in cloud computing (Arora, Parashar Transforming, 2013). The problem associated with vendor selection can however be mitigated by the maintaining a legal agreement between the vendor and the client. The cloud computing vendor should be trusted enough to allow data access (Jadeja Modi, 2012). Answer 4 The EIS was developed and implemented to equip the senior managers a proper knowledge of data resources (internal and external) including the key performance indicators (KPIs). The KPIs are associated with their specific requirements. The EIS was a complete failure. The problems that executives found with the EIS was that only half of the data provided by the EIS implemented was associated to the decision making and analysis of the employees at the corporate level. Furthermore, the data was not accessible or available when needed. The two main reasons of the problem are as follows- The IT architecture of the EIS was not designed for customized reporting as it was based on financial accounting rules. The user interface was quite complicated and therefore, the executives could not easily review the KPIs. In order to make the EIS more efficient, the CIO worked with the task force for designing and implementing completely new EA. Proper policies of data governance were implemented in order to standardize the different data formats. The benefits or advantages of the new IT architecture were that, its process was more business driven instead of financial reporting and therefore it was easier to make changes or modify. Furthermore, there was need of fewer IT resources for the system maintenance. The main benefit of data governance is that it eliminates the costly and time consuming ad hoc analysis. Answer 5 POS captures data from retail channels and uses it to create customer profiles. In Coca-Cola, huge volume of data is analyzed in order to make the departments more and better time sensitive. POS data can be analyzed and can be used for supporting the collaborative planning and forecasting and therefore, it is important for Coca-cola to process the important data in real time. Coca-cola attempts to create favorable customers experience by implementing data governance program. It further makes use of the Big data to understand the need and preferences of the customers. Having a trusted view of the data helps in strategic business planning, which further increases the profit margin of the company along with the enhancement of the customers experience. Black Book model brings together the detailed data of the 600+ flavors that is needed for preparing the orange juice for creating a consistent taste. The model helps in specifying the process of creating a consistent taste. The strategic benefit of Black book model is that it defines the specific relationship between the variable that reduces the uncertainty associated with a business process. References Arora, R., Parashar, A., Transforming, C. C. I. (2013). Secure user data in cloud computing using encryption algorithms.International journal of engineering research and applications,3(4), 1922-1926. Chen, D., Zhao, H. (2012, March). Data security and privacy protection issues in cloud computing. InComputer Science and Electronics Engineering (ICCSEE), 2012 International Conference on(Vol. 1, pp. 647-651). IEEE. Chen, H., Chiang, R. H., Storey, V. C. (2012). Business intelligence and analytics: from big data to big impact.MIS quarterly, 1165-1188. Dinh, H. T., Lee, C., Niyato, D., Wang, P. (2013). A survey of mobile cloud computing: architecture, applications, and approaches.Wireless communications and mobile computing,13(18), 1587-1611. Jadeja, Y., Modi, K. (2012, March). Cloud computing-concepts, architecture and challenges. InComputing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on(pp. 877-880). IEEE. Kambatla, K., Kollias, G., Kumar, V., Grama, A. (2014). Trends in big data analytics.Journal of Parallel and Distributed Computing,74(7), 2561-2573. Lapalme, J. (2012). Three schools of thought on enterprise architecture.IT professional,14(6), 37-43. Laudon, K. C., Laudon, J. P. (2016).Management information system. Pearson Education India. Witten, I. H., Frank, E., Hall, M. A., Pal, C. J. (2016).Data Mining: Practical machine learning tools and techniques. Morgan Kaufmann. Wu, X., Zhu, X., Wu, G. Q., Ding, W. (2014). Data mining with big data.IEEE transactions on knowledge and data engineering,26(1), 97-107. Zissis, D., Lekkas, D. (2012). Addressing cloud computing security issues.Future Generation computer systems,28(3), 583-592.