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Hrm 531 Week 1 Case Study Of Big Data

1636 Words7 Pages

Big data is any form of data, but is also a term referring to data sets that are so large and complex that traditional data processing applications are inadequate. Challenges include analysis, capture, data curation, search, sharing, storage, transfer, visualization, querying and information privacy.
According to Lopez (Manyika, et al, 2011), big data presents opportunities to drive innovation, improve productivity, enhance customer satisfaction, and increase profit margins. However, most senior management still struggle to handle the new influx of data due to the failure to harness, prioritize, and understand the data flowing in. According to SHRM, most employers have barely scraped the surface when it comes to mining big data, in part because …show more content…

Evolv found that employees without call center experience were just as successful as those who had it, allowing Xerox to broaden its candidate pool. Creative personalities stayed longer than those with inquisitive personalities, as did candidates who belonged to at least one but not more than four social networks. Armed with such detailed information on what made a successful hire, Xerox was able to reduce attrition by 20 …show more content…

A survey of 220 organizations (including fortune 1000 companies) showed that more than three quarters of all participating companies (76.8%, n = 169) indicated that they have an individual or function dedicated to HR research and analytics. In terms of staffing levels for the HR research and analytics function, 62% of the companies reported staffing levels of five or less people in the group, and 92% reported 12 or less people assigned to this function. Additional analyses found that the staffing level of this function was higher in companies with higher gross revenues and a larger workforce (Falletta, 2013). Even these results were and are still underreported.
Feffer (2014) states that, before total buy-in can happen, a number of obstacles that need to be addressed. Firstly, tools to integrate certain HR data need to be available. He states that, data has to be compiled from disparate systems that don’t always talk to each other and often don’t agree when they do; such pertinent data resides in systems tracking payroll, time and attendance, applications and educational

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Its content is very complete and provides a good read into current HR issues making it, exceedingly relevant. The website it is posted on, Human Resource Executive Online, provides a large archive of additional resources and links to other reliable and credible pages. Independently and individually gathered statistics assure an unbiased nature and demonstrate the use of primary and secondary research efforts. The reading flows well and the content makes sense, even to those inexperienced with HR or business. References are provided in the text and can be further accessed through the website.

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What is one benefit that the owners of The Dog House might get from using ‘Big Data’? What is one challenge they might face? A benefit that the owners of The Dog House might get from using ‘Big Data’ is by gaining a better customer insight. It can help by obtaining traditional sources of customer data, external sources, social media activity, data from internal and external surveys, and computer cookies.

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Keith H. Hammonds’ “Why We Hate HR,” What is it About? In an article written by Keith H. Hammonds published in 2005, he points out the issues of Human Resources and why the public should hate HR. Hammonds brings to the table reasons why HR is unequipped to be strategic business leaders and how they do not work in a way that demonstrates what is best for everyone. Ever since this article came out almost 20 years ago, HR executives have wanted to discuss it, criticize it, and dismember it. Because of this, leaders have remained angry trying to prove this article wrong and do more within their roles in their organization.

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Course Title :HR Systems And Practices MG-681 Program: MS Management Section: A Assignment Title: Assignment 1 Deadline date: 4th November, 2014 Submitted on: 4th November, 2014 For Remarks: ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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Finding a job remains an uphill task for many individuals as they plow through a jungle of information provided on the web in search of their ideal job. As large corporations aim to stay on track with their productive efficiency and profit maximization goals, these corporations are constantly in search for the right person for their job openings. In “They’re Watching You at Work”, Don Peck shows us that the rise in quantity of workforce metrics and pre-hiring screening data being collected for the use of human resource management has grown significantly in our bid to rid employers of biased judgments. While Peck acknowledges that there are merits in using people analytics to sieve out the crème de la crème (“cream of the crop”) from the current

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Therefore, it is crucial for there to be greater transparency and oversight in the use of big data and predictive analytics to ensure that these technologies do not perpetuate existing inequalities and

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Thank you to Professor Ray Wang. Through his INLS 509 Information Retrieval, I have gained a deeper understanding of Web search engines and information filtering, which can help me improve the efficiency of information collection and better utilize the understanding mechanisms of the recommender system. In the first and second semesters of studying at UNC, I chose INLS 523 Database Systems I and INLS 623 Database Systems II to learn how to process data, including basic operations such as cleaning, transforming, integrating, and analyzing data. Previously, my knowledge of data analysis was limited to analyzing the ROE, ROA, and ROI of various financial statements, and data visualization may only be based on data analysis to create Stock Price and Trading Volume charts that clearly display the company's operating situation. Through studying data analysis, which is crucial for big data technology at UNC, and through Information Analytics in INLS 625, I have learned mature and emerging analysis techniques for handling large amounts of unstructured data, including predictive modeling, data mining, text analysis, and network analysis.

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"The Future of Big Data."  Pew Research Center: Internet, Science & Tech. N.p., 19 July 2012. Web. 7 Mar. 2017.

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The concept of Big Data has always existed but its capabilities to impact all aspects of the world have only recently been brought to light. The healthcare, marketing, and national security industries have taken advantage of Big Data by hiring competitive intelligence analysts to gather and analyze data. Other industries need to face the reality that every area of the world can be changed in a positive way as the world becomes more technological. Big Data has been the driving force behind the technological advancements of the United States and is the reason the country will excel against others. The job market and economy will continue to grow with the jobs that will be created to manage and process Big Data.

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866 Words | 4 Pages

How Big Data Is Beneficial For Businesses Big data is defined as the collection, processing and availability of huge volumes of streaming data in real-time. Most companies have moved big data and analytics to the center of their business. Because when big data and analytics become the logical engine, they impact decisions, fuel interactions and engagement and power up processes and systems of record and everyone gains great insights necessary to respond to the demands of business through decisive action. Big data is different from old school data management in terms of the following three key concepts, Volume, Velocity and Variety. Volume refers to the amount of data; variety refers to the number of types of data and velocity refers to the speed of data processing.

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When Paul attempted to retrieve HR metrics, he found the data was either not available, or difficult to retrieve and analyze. The company’s main problem that is causing a lack in production is retention and turnover. In addition to causing a lack in production, turnover is a very costly problem. HR must focus on employee turnover and retention to gain an understanding of problem areas that are causing talented employees to leave. Sharlyn Lauby, president of the consulting firm ITM Group Inc., stated, “With unemployment continuing to drop, recruiting is getting tougher and organizations cannot afford to just go hire someone else—companies need to understand why employees stay and what causes them to leave” (Maurer, 2017).

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Therefore, large companies such as TELUS use internal recruitment method to fill the vacant positions by their own employees who have gained enough knowledge and experience within the organization. TELUS HR vice-president, Richard Beed (as cited in Lougie, 2012) says that “What happens is the culture auto-rejects that new person because they don’t like that innovation that’s coming in” Lougie- the marketing consultant at Codemedia Inc., in his article ‘the Case for Internal Hiring’ argues that “At Telus Corp., the right fit is the first reason the company gives for hiring from within” (2012). Beed (as cited Lougie, 2012) also explains that “It’s all a part of giving motivated employees the tools they need to grow with the company”.

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I understood that my power as an HR professional remains on my ability to coordinate the verbal and written words in order to obtain credibility and conviction. I remembered the words of Braton et al, (2010, p385) that communication plays a vital role in

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I. OVERVIEW Google’s human resource management involves different strategies to address the workforce needs of this diversified business organization. This diversification imposes significant challenges to human resource managers of the company. Nonetheless, there are certain HRM approaches that are generally applied to different areas of Google. For instance, in human resource planning, Google’s HR managers focus on the effective use of forecast information to minimize the surplus or shortage of employees, and to establish a balance between the supply and demand for qualified employees.

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Big Data There are many different definitions for Big Data. SAS (n.d.) an analytical software company describes it as, “a popular term used to describe the exponential growth and availability of data, both structured and unstructured.” Many think Big Data just came into existence but it has been around for years. Banks, retail, advertisers have been using big data for marketing purposes.

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