...Week 3 - The Big Data Challenges May 2014 Case Study: The Big Data Challenges Glendoria Early Strayer University CIS 500 – Information Systems for Decision Making Dr. Vince Osisek May 12, 2014 Case Study: The Big Data Challenges Week 3 - The Big Data Challenges Page 2 What if your car could talk? Well Volvo CIO's had to wonder the same thing as well. Volvo, a Swedish multinational manufacturing company, that not only produce cars, but light and heavy weight trucks as well as buses. Volvo Car Corporation has a history of using innovation to produce premium automobiles. The manufacture chose to rely on information technology to gain the innovative edge to help the company grow by integrating the cloud infrastructure into their networks. The Volvo Data Warehousing Program, started in 2006 (Data in the Driver's Seat), it draws insight from this multi-terabyte resource to create clear business advantage by integrating information from four primary sources: a system for managing vehicle and hardware specifications, one for managing on-board software specifications, the system that collects vehicle diagnostic data from service centers worldwide, and the warranty administration system. (Tobey, 2010) Joining all the various pieces of data together, Volvo can be warned about potential mechanical issues that may show up in the early part of a car's lifecycle. Volvo can spot patterns from the data that may indicate a potential flaw in a particular part well before a...
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...INTRODUCTION TO BIG DATA IN RETAIL Big Data is a massive pool of data (both structured and unstructured) that cannot be processed using traditional database and software techniques. When any particular organization uses this catch phrase they refer to the technology that can be used to channelize this huge pool of data into some useful information. This channelization includes modification, creation, manipulation, storage, transfer, sharing and analysis of the data. Big data in Retail Consider a situation in which it is the busiest shopping time of the year and only one particular product is flying off the shelf. In the past, the stores who reacted to this demand forecast or had good amount of inventory of that product had an advantage....
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...Case Study 1: The Big Data Challenges James (JT) Clark Professor Elhag Ibrahim Information System for Decision-Making 10/31/2012 . Case Study 1: The Big Data Challenges Introduction I feel as though Volvo integrated the cloud infrastructure into its networks very well. It took the proactive approach instead of being reactive. It applied this to all aspects to their vehicles. Volvo chooses to have the cloud work for them and it saved them money in the end. They had a centralized data base in which all their information was gathered and stored and from there it was turned from raw knowledge into useful information. Volvo Car Corporation Integrates the Cloud into Its Networks Volvo had the ability to collectively harness the information that they collected information from the hundreds of sensors that were embedded throughout the cars. This data was being captured for use from the vehicle and transmitted via the cloud back to the manufacture. This data was streamed into a centralized analysis hub, where they were being used by the customer relationship systems, dealership systems, and product development and designs systems. This way they could share information about any particular vehicle and any problem that they may be experiencing and stop an issues before it gets out of hand. How Volvo Car Corporation Transforms Data into Knowledge They are taking the data that they are receiving from the vehicles and putting it all together. This way they are pre-warned...
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...“Converting data into business value at Volvo” Dianne Allamani Dr. Paulette Stephens CIS 500 - Information Friday, July 13, 2012 Volvo Car Corporation is a great example of a Corporation that has been able to integrate the cloud infrastructure into its networks. Using the cloud, Volvo is able to convey and collect huge volume of Data “Big Data” to its Volvo Data Warehouse where it can be stored and analyzed for future record usage and recovery or restoration by Volvo’s employees. Asthana (2011) He states that: The Swedish car maker collects terabytes of data from embedded sensors in their cars—from their customer relationship management (CRM) systems, from dealerships, and from their factory floors. These data streams are combined and analyzed to yield early predictive information on matters like manufacturing defects that haven’t occurred yet. Using Saas, software applications are run from one centralized location. The software can be accessed from any location over the internet. Volvo uses on demand computing via the clouds, to link their business units and support areas and production plants all over the world. Their cloud computing systems functions as an entry point for their web users. Connecting employees, suppliers and vendors and therefore improving their operations making them more efficient and more competitive. This allows Volvo to optimize their IT infrastructure cost effectively and still be technologically advanced giving them the competitive advantage...
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...Programme on Business Analytics and Intelligence BATCH 5 in god We trust, All Others Must Bring data - W edwards deming he theory of bounded rationality proposed by nobel laureate Herbert Simon is evermore significant today with increasing complexity of the business problems; limited ability of human mind to analyze alternative solutions and the limited time available for decision making. introduction of enterprise resource planning (eRP) systems has ensured availability of data in many organizations; however, traditional eRP systems lacked data analysis capabilities that can assist the management in decision making. Business Analytics is a set of techniques and processes that can be used to analyse data to improve business performance through fact-based decision making. Business Analytics is the subset of Business intelligence, which creates capabilities for companies to compete in the market effectively. Business Analytics is likely to become one of the main functional areas in most companies. Analytics companies develop the ability to support their decisions through analytic reasoning using a variety of statistical and mathematical techniques. thomas devonport in his book titled, “competing on analytics: the new science of winning”, claims that a significant proportion of high-performance companies have high analytical skills among their personnel. On the other hand, a recent study has also revealed that more than 59% of the organizations do not have information required for...
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...Korea ABSTRACT In big data era, we need to manipulate and analyze the big data. For the first step of big data manipulation, we can consider traditional database management system. To discover novel knowledge from the big data environment, we should analyze the big data. Many statistical methods have been applied to big data analysis, and most works of statistical analysis are dependent on diverse statistical software such as SAS, SPSS, or R project. In addition, a considerable portion of big data is stored in diverse database systems. But, the data types of general statistical software are different from the database systems such as Oracle, or MySQL. So, many approaches to connect statistical software to database management system (DBMS) were introduced. In this paper, we study on an efficient connection between the statistical software and DBMS. To show our performance, we carry out a case study using real application. Keywords Statistical software, Database management system, Big data analysis, Database connection, MySQL, R project. 1. INTRODUCTION Every day, huge data are created from diverse fields, and stored in computer systems. These big data are extremely large and complex [1]. So, it is very difficult to manage and analyze them. But, big data analysis is important issue in many fields such as marketing, finance, technology, or medicine. Big data analysis is based on statistics and machine learning algorithms. In addition, data analysis is depended...
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...used in Useem’s (2009) article “Big City Superintendent as Powerful CEO: Paul Vallas in Philadelphia.” This article uses the case study qualitative design. Case study is suitable in a research interested in understanding how and why of a certain event (Rowley, 2002). In Useem’s study, the design was used because the study was aiming to understand how the change of using the Superintendent title in district schools to chief executive officers or chancellor affects the school performance. The article problem statement was that the change of the Superintendent title in district schools to chief executive officers or chancellor increased the power of the Superintendent in some big district schools. Increase of power was vital because the Superintendents roles in school were being affected by the emergency of other stakeholders in the education system. The study had a purpose of understanding how the introduction of the No Child Left Behind Act in 2002 has affected the powers of the Superintendent in the management of district schools. To achieve this purpose, the sample for the study was derived from a multiple sources. The sample comprised of different groups that include groups for interview, in-depth interview, observations, documents analysis and analysis of reform meetings on schools. A multiple data collection techniques were employed to make the design effective. They included observation, documents analysis, and interviews. In this study, respondent’s confidentiality is...
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...Big Data is a type of new era that will help the competition of companies to capture and analyze huge volumes of data. Big data can come in many forms. For example, the data can be transactions for online stores. Online buying has been a big hit over the last few years, and people have begun to find it easier to buy their resources. When the tractions go through, the company is collecting logs of data to help the company increase their marketing production line. These logs help predict buying patterns, age of the buyer, and when to have a product go on sale. According to Martin Courtney, “there are three V’s of big data which are: high volume, high variety, high velocity and high veracity. There are other sites that use big volumes of data as well. Social networking sites such as Facebook, Twitter, and Youtube are among the few. There are many sites that you can share objects to various sources. On Facebook we can post audio, video, and photos to share amongst our friends. To get the best out of these sites, the companies are always doing some type of updating to keep users wanting to use their network to interact with their friends or community. Data is changing all the time. Developers for these companies and other software have to come up with new ways of how to support new hardware to adapt. With all the data in the world, there is a better chance to help make decision making better. More and more information is becoming available at the click of a mouse, which can help...
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...Case Study: #1 - The Big Data Challenges Arnechia Washington Professor Durgin CIS500 Info Syst Decision-Making January 26, 2014 Volvo Car Corporation has incorporated the cloud infrastructure into its networks to globalize the company. “With hundreds of sensors and CPUs embedded throughout the car — from the brakes to the central locking system — data is now being captured for use within the vehicle itself, and also, increasingly, for transmission via the cloud back to the manufacturer” (Strader, 2011). Volvo’s data Warehouse has multi-terabytes of data from the hundreds of sensors and CPU’s that are embedded throughout the car as well as data from customer relationship systems. The Cloud platform allows implementing and evaluating real-time information systems to transform data into knowledge. This will give Volvo a competitive advantage over other car companies and allow their offices no matter the location to immediately take advantage of the data that is stored. There are two different cloud infrastructures within their infrastructure: service cloud and vendor hosting. Service cloud is used to support the customers and while their customers are operating the vehicles. This will enhance the car from the information that is gained based on the design and performance level of the car. Vendor hosting is used for the data that is located in separate warehouses. This platform allows the data to be consolidated into one place and reduces the cost to maintain, operate...
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...Does Big Data Bring Big Rewards? 1.) Describe the kinds of “big data” collected by the organizations described in this case. The organizations that were mentioned in this case study are The US State Federal Law Enforcement Agencies, Real Time Crime Center NYC, Vestas, AutoZone, Hertz, and Sears Holding. The kind of data the U.S. State and Federal law enforcement agencies are dealing with are to discover hidden patterns in a criminal activity such as correlations between time, opportunity, and organizations. The real time crime centers uses data warehouses dealing with city crime and criminals. They use a system whose search capabilities allow the NYPD to quickly obtain data from any of data source. Vestas are using big data to allow there company to go green. Vestas use data so that it can accurately places it turbines for optimal wind power generations. Autozone uses big data to help it adjust inventory and product prices for thousands of stores whereas for Hertz a car rental giant it allows data to be gathered from web surveys, e-mails, and even text messages. 2.) List and describe the business intelligence technologies described in this case. The business intelligence technologies that were described in this case are hidden patterns in criminal activity, information on criminals, location based data, types of cars driven by people in an area, data to analyze consumer sentiment, and data to enhance customer retailer relationship. 3.) Why did the companies described...
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...BIG DATA ANALYTICS WITH TWITTER Aug 23, 2012 Marti Hearst & Gilad Mishne WHAT IS TWITTER? TWITTER AS CULTURAL PHENOMENON Some 15% of online adults use Twitter as of February 2012, and 8% do so on a typical day. Although overall Twitter usage has nearly doubled since the Pew Research Center’s Internet & American Life Project first asked a stand-alone Twitter question in November 2010, the 15% of online adults who use Twitter as of early 2012 is similar to the 13% of such adults who did so in May 2011. At the same time, the proportion of online adults who use Twitter on a typical day has doubled since May 2011 and has quadrupled since late 2010—at that point just 2% of online adults used Twitter on a typical day.1 The rise of smartphones might account for some of the uptick in usage because smartphone users are particularly likely to be using Twitter. TWITTER STATS Twitter usage over time % of internet users who use Twitter 40% 20% 13% 8% 5% August 2011 Total 8% February 2012 15% 12% 0% 2% November 2010 4% May 2011 Typical day Source: Pew Research Center's Internet & American Life Project Winter 2012 Tracking Survey, January 20February 19, 2012. N=2,253 adults age 18 and older, including 901 cell phone interviews. Interviews conducted in English and Spanish. Margin of error is +/-2.7 percentage points for internet users (n=1,729). Several demographic groups stand out as having high rates of Twitter usage relative to their peers: ...
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...ASSIGNMENT: BIG DATA CHALLENGES CASE STUDY TITLE: CONVERTING DATA INTO BUSINESS VALUE AT VOLVO STUDENT’s NAME: JOSEPH OSASUMWEN LECTURER’s NAME: PROF. HOSSEIN FIROUZI COURSE TITLE: CIS 500 DATE: JANUARY 28, 2013. ABSTRACT Big data has posed both challenges and opportunity in our present world of technology sciences. The challenges related to searching, analyzing, manipulating, and organizing are experienced when data explode, this challenges cannot be assign to one sector or field because it has encroach almost all sector relating to healthcare, retailing, manufacturing, governmental institutions, financial services, physical and life sciences. These big data when well managed with the right strategies and IT infrastructure, can support organization in analysis, decision making, better business intelligence, enhance communications capabilities and enrich collaboration, like in the case of VOLVO car corporation whose challenges was transform to better anticipated needs of customer, ad-hoc analysis and employees making inform decision other than guess work. HOW VOLVO CAR CORPORATION INTEGRATED THE CLOUD INTO ITS NETWORKS. Volvo need a global IT infrastructure because its customers are globally, which inspired the car company to select WINDOWS AZURE. The company wanted a new infrastructure to match their huge data challenges, the cloud infrastructure uses the ETL (extract transform load) to stream huge data from the previous DBMS (database management systems)...
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...ASSINGNMENT: CASE STUDY1: THE BIG DATA CHALLENGES NAME: MICHEL NGAKO EMOU PROF: HOSSEIN FIROUZI COURSE: CIS 500; Information System for Decision Making January 31, 2013. INTRODUCTION Volvo Car Corporation separated from his parent Ford in August, 2010; it was also breaking free from Ford IT infrastructure. That’s allows the company to developed and integrated new IT infrastructure, making a significant changes on their business. 1) Judge how Volvo Car Corporation integrated the cloud infrastructure into its networks. Volvo Car Corporation has doing successfully the integration of cloud infrastructure into its networks. They have captured terabytes of data through sensors and CPUs embedded in their cars, and transmitting to manufacturer via cloud. Then, those data are streamed into Volvo data warehouse with others data coming from customer’s relationships management, from dealerships, their production/factory floors and product development and design systems. All those data stored and use by Volvo give him a real advantage in its field of business. 2) Explain how Volvo car corporation transforms data into knowledge Once those terabytes of data are collected and stored into Volvo data warehouse, they combined and analyzed them to extract useful information. Those information help Volvo Car Corporation either to be predictive or proactive. As said Rich Strader, CIO’s chair at Volvo” by splicing that data together, we are pre-warned about potential...
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...aims to implement an organizational behaviour aimed at ensuring improved job performance of their employees. This paper tries to answer one of his question, ”How does personality affect job performance among various occupational groups?”, by investigating the relation of the “Big Five” personality dimensions (Extraversion, Agreeableness, Conscientiousness, Neuroticism and Openness) to job performance for three occupational groups (Mangers, Skilled Workers and Sales). Office based employees at Green Curve Interiors were administered a widely acknowledged Big Five personality online test to obtain their personality trait score. Regression line and scatter charts were the tools used in our study to find the relation between the results of personality test score and job performance ratings. In our study we categorised green curve employees according to their occupational groups. From our analysis we found that conscientiousness was the best predictor for overall job performance among different occupational groups. We also found that extraversion and openness traits did not predict overall job performance, but they did predict success in specific occupations like managers and sales staff. We conclude our study by recommending Green Curve to incorporate the “can do” attitude and “continuous improvement” as part of their organisational behaviour. “Can do” attitude relates to the tendency to show self-discipline, act dutifully, and aim for achievement; while “continuous improvement” relates...
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...CISM 4136 A- Global Information Resource Management Case Questions Carol V. Brown, D.W. DeHayes, J.A. Hoffer, W.E. Martin,&. W.C. Perkins, Managing Information Technology, Seventh Edition, 2012, Prentice Hall. Case Study 1 - Midsouth Chamber of Commerce (A): The Role of the Operating Manager in Information Systems 1. Identify the key players in the case and describe their respective roles. Are these the right roles? What roles in particular should be modified? How might such role modifications be accomplished? 2. Focus on the role of the software vendor- Unitrak Software Corporation. Was it an appropriate role? Did Unitrak act responsibly? 3. How much is Kovecki to blame for this situation? 4. One of the recurring themes of this book is the importance of information systems politics. To what extent does IS politics explain the situation that has developed at the Midsouth Chamber of Commerce? 5. The case involves what appears to be a fairly routine use of information technology to support a service organization. Yet the Midsouth Chamber of Commerce encountered major problems in bringing up its new system. Is there a lesson here for organizations seeking to adopt new information technology? What is it? 6. What should Lassiter do now? Case Study 11-1- Vendor-Managed Inventory at NIBCO 1. What was the catalyst for NIBCO to develop a VMI program, and why was it able to respond? 2. Describe what types of transactions are involved in NIBCO's VMI program...
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