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Job analysis aids the job evaluation process by
What should a conventional job analysis look like
What should a conventional job analysis look like
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Job Analysis Prior to any job being created, an analysis must be conducted. Thus, the completion of this analysis will provide the employer and employees with the significant aspects that are attributed to the creation of the respective job. Some of the significant aspects that the analysis would include are, but not limited, the essential functions (tasks) of the job, to the tools and resources required to perform the job, and its working conditions. All in all, this job analysis’ goal is to elucidate the ideal candidate for the job from the employer’s perspective through the two criteria: job description and person (job) specification.
Job Description Succeeding the completion of the completion of the job analysis requires a written narrative
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Although jobs may be very similar (in scope and depth), no two jobs are the same. Moreover, for this reason, it is critical that every job has its own description. The duties and tasks that an employee is expected to perform in a position is called a job function. Employers must designate the essential job functions that will be asked of the employee to perform. In addition, employers may designate any additional job functions that may be asked of employees by designating them as non-essential job functions. Concisely, in order to ensure that no statute is in violation employers must properly describe each job description for every job individually. “According to the Equal Employment Opportunity Commission (EEOC), essential functions are the basic duties that an employee must be able to perform, with or without reasonable accommodation” (Muskovitz, 2011). Furthermore, due to the American with Disabilities Act (ADA), employers must reasonable accommodate employees with known physical or mental …show more content…
Bob Bennet’s declaration for steering away from using the term “big data” is admissible. When hearing the term “big data”, it can often be associated with something granular and overwhelming. In today’s time, data is a very sensitive topic because society is aware of the benefits and consequences one can endure with data. Moreover, associating the term big with data can mean that there are some information that should not be readily accessible that unfortunately is.
In order to eradicate the fear of “big data”, there should be training programs in place that would explain this concept further. Through these trainings, it would be ideal if the link between conceptual advantages and organizational success is made, so that employees will have the mindset that this is a concept that would make data integration and management tasks more accessible and manageable. All in all, the Internet is a massive medium with an infinitive amount of information that is readily accessible at one’s leisure. If used appropriately and effectively, one would be able to maximize its full
The Human and Ethical Aspects of Big Data, quickly outlines an array of ethical problems that big data has had and will continue to develop in the upcoming years in our society. The author begins by giving an example of the earliest use of big data, the census. Census data can provide a plethora of benefits to society, representation in government, civil planning, such as road and water treatment, as these take years to construct and having the population and these necessities, Time align is crucial. As the author, uses the example of the internment of Japanese-Americans in 1943. Here is big-data supposed to help the citizens of the Unites States, the big data that is supposed to be private. Now in 1943, big data being used to discriminate
According to Lisa Arthur, big data is as powerful as a tsunami, but it’s a deluge that can be controlled. In a positive way it provides business insights and value. Big data is data that exceeds the processing capacity of conventional database systems. It is a collection of data from traditional and digital sources inside and outside a company that represents a source of ongoing discovery and analysis. The data is too big, moves to fast, or doesn’t fit the structures of the database architecture. Daily, we create 2.5 quintillion bytes of data. In the last couple years we have created 90% of data we have in the world. This data comes from many places like climate information, social media sites, pictures or videos, purchase transaction records, cell phone GPS signals, and many more places. From the beginning of recorded time through 2003 users created 5 billion gigabytes of data. 2011, the same amount was created every couple days. 2013, we created that same amount every ten minutes. Some users prefer to constrain big data into digital inputs like web behavior and social network interactions. The data doesn’t exclude traditional data that is from product transaction information, financial records and interaction channels.
A job analysis a great way to analyzed whether or not the individual is fit for the position. By creating a questionnaire that relates to the daily tasks for the position will narrow done the selection process into a smaller portion. The information given from the Job Analysis is also used to create a Job Description and Job Specification. “Job description identifies the tasks, duties, and responsibilities. The “job specification list the KSAOCs that individuals need to posses to perform a job successfully”(Pynes, 2013). After an individual is hired we must train that individual with the proper format in order for them to understand the concept of work. In this process I will develop a training program that includes all the organizations policies, procedures and daily tasks.
36 Ma Jian-guang,JIANG Wei, 2013 : The Concept,Characteristics and Application of Big Data pp 7-9
Big Data is a concept that has existed for a while, but only gained proper attention a couple of years ago. It can be described as extremely large data sets that have grown so big that becomes almost impossible to manage and analyze them with traditional data processing tools. Big Data can be used by enterprises in by building new applications, improving the effectiveness, lowering the costs of their applications, helping with competitive advantage, and increasing customer loyalty. It can also be used in other industries to enable a better system and better decision-making. Big Data has become a valuable asset to everyone around the world and continues to impact society today.
Value. Value is what matters to a person i.e. how valuable big data is to one.
... potentially criminal. Similar to the collection of consumer data, the information gathered by the government is also subject to abuse by people who are granted access privilege. For example, in 2007, a federal agent was charged with using a government database to track the travel pattern of his ex-girlfriend (Lee).
In today’s society, technology has become more advanced than the human’s mind. Companies want to make sure that their information systems stay up-to-date with the rapidly growing technology. It is very important to senior-level executives and board of directions of companies that their systems can produce the right and best information for their company to result in a greater outcome and new organizational capabilities. Big data and data analytics are one of those important factors that contribute to a successful company and their updated software and information systems.
In short, the Big Data challenges for organizations and enterprises in today's digital age. Once mastered big data, they will have greater chances of success in today's competitive environment, the world would benefit more from the extracted information more accurately, more useful lower costs. Still the criticism revolves around Big Data, however, the field is still very new and we'll see in future Big Data will evolve like.
Big data refers to data sets with sizes beyond the ability of commonly used software tools to capture, curate, manage and process the data within a tolerable elapsed time.Big Data has vast characteristic and few of them are showed below.
The 21st century has brought with itself an explosion of data and increasing technological ability of our generation to collect, analyse and manipulate enormous amounts of data is what big data is all about. Being a student of a reputed b-school, big data, its analysis and emerging trends across the globe has definitely been a topic of consideration. The basic question is data analysis and big data one and the same? Well, the difference lies in the enormity of the data size. Huge amount of data reveals better trends, unseen correlations and things which could not be comprehended from a smaller data set. Basically apart from answering the usual ‘why’, big data also helps to answer ‘what’
...ch Reips. ““Big Data”: Big Gaps of Knowledge in the Field of Internet Science.” International Journal of Internet Science 7.1 (2012): n. pag. Web. 16 Mar. 2014.
Adopting big data can also help the banking industry by saving them from lots of embarrassment resulting from increase in the number of customer which in turn requires banks to improve on their performance. As stated earlier banks are entrusted with lots of information and this information must be safe will be required to be accessed ready and in a timely fashion. The use a normal small database will not be enough to perform this operation and if banks don’t embrace the use of big data they might start to experience failure in there system.