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Case Study: Management Information System at Dell

Management information system involves the information system and the organization. MIS begins where computer science ends. Computer scientists deserve accolades for developing and delivering even more advanced forms of information technology: hardware technology; software technology; and network technology. Yet because no technology implements itself, there is more to MIS than just information technology. MIS has dimensions. The four interrelated dimensions of MIS are as follows: First, MIS involves not just information technology, but also its instantiation; second, MIS involves, as reactive and inextricable elements, both an information system and its organizational context; third, MIS involves information technology as a form of intellectual technology; and fourth, MIS involves the activities of a profession or corporate function which are integral to the essence of what MIS is (Currie & Galliers, 1999).

Dell Computer Corporation: Company Background

Dell Computer Corporation is a major manufacturer of personal computers, computer peripherals, and software. Among the leading producers of computers in the world, Dell sells its products directly to customers through the Internet and mail-order catalogs rather than through retail outlets. The company is based in Round Rock, Texas. At Dell Computers, customers are brought into the product planning and manufacturing processes, with all employees encouraged having contact with customers. Through effective collaboration across boundaries, ideas can be shared about product designs and value propositions. The result is faster and more customer-focused product and service innovation. To produce the capacity for this, considerable attention must be placed on organizational structures, processes, skills and culture. Such elements   may need a radical overhaul in established companies (Dennis & Harris, 2002). Dell was founded in 1984 by Michael Dell. In 1983, during his freshman year at the University of Texas, he bought excess inventory of RAM chips and disk drives for IBM personal computers from local dealers. He resold the components through newspaper advertisements at prices far below retail cost. By 1984, his sales totaled about $80,000 a month. In April 1984, Dell dropped out of school to launch his company (Ford, Honeycutt, & Simintiras, 2003).

The new company soon began manufacturing its own IBM-compatible computers under the name PCs Limited. Because Dell sold computers directly to users through advertisements in magazines and catalogs, the company could price its machines lower than those sold through retail stores. Sales reached nearly $6 million during the company’s first year, climbing to $34 million the following year. By 1987, Dell was the leading mail-order computer company in the United States. In that year, it created a sales force to target large corporations and began adding international offices to capture the direct-mail market outside the United States (Ford, Honeycutt, & Simintiras, 2003). While the company continued to grow rapidly; Dell experienced a series of setbacks that hurt profits. In 1990, the company began selling computers through retail stores, an effort it abandoned in 1994. In 1991, Dell launched a line of notebook computers, but quality problems and inadequate production planning forced the company to stop selling   for a year. In 1994, Dell launched a new line of notebook computers and expanded efforts to increase overseas sales. Dell also began focusing on the market for servers, which   used   the computers   to run local area networks. By the late 1990s, Dell was firmly in place as the world’s number one direct seller of computers. More than 50 percent of the company’s computer sales transactions took place via its website, which generated worldwide sales in excess of $40 million a day (Ford, Honeycutt, & Simintiras, 2003).

Information Processing Tools

Information processing or Data processing is the analysis and organization of data. It is used extensively in business, engineering, and science and   an increasing extent in nearly all areas in which computers are used. Businesses use data processing for such tasks as payroll preparation, accounting, record keeping, inventory control, sales analysis, and the processing of bank and credit card account statements. Engineers and scientists use data processing for a wide variety of applications, including the processing of seismic data for oil and mineral exploration, the analysis of new product designs, the processing of satellite imagery, and the analysis of data from scientific experiments (Thierauf, 1978).

Data processing is used extensively in business, engineering, and science and to an increasing extent in nearly all areas in which computers are used. Data processing is divided into two kinds of processing: database processing and transaction processing. A database is a collection of common records that can be searched, accessed, and modified, such as bank account records, school transcripts, and income tax data. In database processing, a computerized database is used as the central source of reference data for the computations. Transaction processing refers to interaction between two computers in which one computer initiates a transaction and another computer provides the first with the data or computation required for that function. Most modern data processing uses one or more databases at one or more central sites (Thierauf, 1978).

Transaction processing is used to access and update the databases when users need to immediately view or add information; other data processing programs are used at regular intervals to provide summary reports of activity and database status. Examples of systems that involve all of these functions are automated teller machines, credit sales terminals, and airline reservation systems (Thierauf, 1978).

The information processing tools that Dell uses include computers, the internet, maps, spreadsheets, models, and databases. For the operational level of Dell, the most appropriate tool for information processing is maps. Through the said information processing tool, decisions on how to operate the organization can be initialized and made. Maps can be used to determine which country/place information will be acquired from, it can also assist in determining the demographic level of people and information will be gathered . Maps can be in the form of charts that can also provide necessary information. The information gathered in turn can assist in helping to decide how an organization will be operated.   For the tactical level of Dell, the most appropriate tool for information processing is databases. Through the said information processing tool, the records that can assist in finding out the strength and weakness of the company can be used to determine the tactic that will be used by the organization. For the strategic level of Dell, the most appropriate information processing tool is the internet or World Wide Web. Through the internet, trends and strategies by other companies can be known. After analyzing the trends and strategies used by other companies, an appropriate strategy can be formulated to use by the organization.

Inventory control systems

Individual businesses need, first and foremost, an efficient inventory control system. This implies the minimum amount of inventory that will provide the consumers with what they need whenever and wherever they need it. Effectiveness of the inventory system means basically having an inventory mix that is most likely successful in satisfying consumer needs (Samli & Sirgy, 1995). The inventory control systems used by Dell is up to date and reliable to prevent problems to arise. The inventory system of Dell makes sure that anything the consumer need will be available to them at any given time. It is also what the company uses to know if certain products are still available or misuse of the inventory system may cost problems to the company.

Management information system involves the information system and the organization. Dell benefits a lot from the management information system. The system helps the company create strategies that will help the company conquer any problems and threats from competitors. The system also assists the company in processing the needed information. Management Information Systems also helps a company to create or update its inventory control system.

Recommendations

Since the MIS of a company is a vital part of its operations and its survival in the modern world, it must be well updated and it must compete well with MIS’s competitors. The MIS   of a company should be created from high standards so that it can be of stiff competition against its counterparts.   The MIS system should help the company to achieve its goals and assist the company in reaching its potential.

1. Comment on the MIS in Dell and suggest the positives and negatives of MIS in Dell?

2. The dell directly sells its computers to the customer whether it will give them good and reliable information or they are lacking in information system due to this move?

3. Develop the information flow diagram for dell and suggest some improvement in the same.

4. MIS is a combination of Management, Information and System otr of the three parts of the information system in which area does the Dell lacking?

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3 thoughts on “ Case Study: Management Information System at Dell ”

please publish the answers for the questions also… so that we can use for reference

Please post answers to the questions also so that we can also use it for our reference. Thanks.

Is it possible to have the answers to be used for reference please ?

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The MIS case study page

These case studies are provided for students who are studying the MIS course at the University of York.  You can gain access to the case studies from the links below.  If you are not a student on the MIS course, you are welcome to use them for teaching and non-profit use.  If you wish use these case studies, please contact me first - [email protected] .

The interviews used in these case studies are edited and anonymous versions of the interviews used in C. KIMBLE and K. McLOUGHLIN. - Computer Based Information Systems and Managers Work . New Technology, Work and Employment, 10(1), March, 1995, pp 56 - 67. ISSN 0268-1072.  Further details of this work can be found here .

If you wish to research the issues raised in these case studies further, you may find the links on the MIS links page or some text books from the MIS books section of some use to you.

All of the case studies have the same form. Each contains:

• Some background material on the organization and systems that form the basis of the case study
• Transcribed interviews with managers and/or users of the system.

The case studies are intended to be group exercises.  You should:

• Form teams of the appropriate size.
• Each individual team member should read the background material and one case study interview.
• The whole team should meet together and answer the questions.

Case Study One (teams of five)

Case Study One is the smallest of the case studies (25 pages) and looks at the problems that a chemical company (Company Y) experienced when it attempted to implement a particular type of information system (MRP II) in its plants. The case study is based on five interviews with directors and senior managers in the company.  You should note that each interview only contains part of the whole picture and are spread over a period of 18 months.

Case Study Two (teams of six)

Case study two is larger (67 pages) and is split into two documents: the background (22 pages) and the interviews (45 pages).  The case study is about (a) the effects that the introduction of the Customer Service System (CSS) had on the way that BT were able to manage their business and (b) the way in which CSS affected the way in which those managers worked.  The background material consists of general background material on BT and some press cuttings on BT.  The interviews are edited transcripts from interviews with six managers at BT.  Again, each interview only contains part of the whole picture although in this case all of the interviews were conducted at the same time.

Case Study Three (teams of eight)

The final case study is larger again (72 pages) and is also split into two documents: the background (18 pages) and the interviews (53 pages).  The case study is about the effects of the introduction of a network (LAN) and messaging system  (e-mail) into the Central Post Office in Newcastle upon Tyne.  The background material consists of general background material on Royal Mail and some press cuttings.  There are eight interviews all of which were conducted at the same time. As before, each interview contains only part of the whole picture.

Case Study: Information Systems and Information Technology at Zara

• Post published: May 6, 2017
• Post category: Information Systems Management
• Post comments: 0 Comments

A case study for Information Systems at Zara. Zara is by far the largest, most profitable and most internationalized fashion retail chain. Zara’s success is based on a business system that depends on vertical integration, in-house production, quick response, one centralized distribution centre and low advertising cost. It can be summarized as follows:

Design : The goal of the information system at Zara is to discover the best design trends. Designers estimate what sells well by collecting vital information such as daily sales numbers. The real-time information helps designers to decide about fabric, cut and colors when modifying existing clothes or designing new ones. IT has shortened the time from design conception to the arrival of clothes at the distribution centers and finally to the stores to be placed on racks.

Zara use IS to track customer preferences and sales. Store managers lead the intelligence gathering effort. This helps to determine what ends up on each store’s racks. Personal Digital assistants (PDAs) or handheld PCs are used to gather customer input. Staffs talk to customers to gain feedback on their preferences and issues. The valuable data gathered helps the firm to plan styles and issue re-buy orders based on feedback. Zara uses software like C-Design and Corel Draw. C-Design and Corel Draw Graphics Suite allows Zara to create and market its collections quickly and efficiently.

Distribution: Zara has its own centralized distribution system. It keeps almost half of its production in-house and uses smart technologies to have a competitive advantage. Instead of relying on outsourcing, the company manages all design, logistics , warehousing and distribution functions itself. It uses latest technologies to keep up with latest trends. The company manufactures and distributes products in small batches. Using the computerized system, the company has reduced its design to distribution process to just 10 to 15 days.

The IT implementation of the operation research requires establishing dynamic access to compute several large live databases (store inventory, sales, and warehouse inventory) under very strict time constraints. This helps Zara to change about three-quarters of the merchandise on display every three to four weeks and customer’s average time between visits to its stores is more than its competitors at 17 times a year.

Pricing is market-based. Zara uses information systems for customer profiling, to analyze the purchase patterns and direct targeting. The company quickly respond to fluctuating customer demands in fashion trends.

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Management Information Systems: Case Studies

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Information Management Systems Case Study

Introduction, definition and discussion of information management systems, the roles of information management systems in handling big data, reference list.

Organisations make vital decisions based on customer information concerning their consumption and preference patterns. Scientific studies are also based on the collection of data whose analysis brings the appropriate information that can be interpreted to draw the required inferences.

Nations make vital decisions concerning requisite policies that address social problems such as poverty. Hence, they have to collect and subsequently analyse a large amount of data.

This situation highlights the need for a mechanism for managing big data. One might raise questions concerning the role that information management systems play in this task.

Using four scholarly articles, this paper defines and discusses management information systems. It also discusses the importance of such systems in the context of the need to handle big data.

Data refers to raw facts that relate to a given phenomenon or issue. Information refers to organised facts about a given phenomenon or issues. Such facts are presented in a way that adds value to the previous data.

Information management system constitutes computers and other associated tools that help in data collection and processing to produce information. An example of information management is shown in figure 1.

Data is important in making various strategic decisions for an organisation. Its collection and storage followed by analyses require the availability of information management tools. Indeed, every organisation seeks strategic plans for growth in terms of size and productivity levels.

Growth increases difficulties in handling customer and supply chain complaints due to the large amount of data that requires analysis and synthesis. Different organisations deploy different types of information management systems to handle big data.

At medium-sized organisations, common information management systems include decision support systems, transaction processing systems, and integrated MIS systems.

Figure 1: An example of management information system

Source: (Turban, 2008, p.300).

Decision support systems facilitate the making of decisions based on the analysis of data and statistical projections. Transaction processing systems avail a means of collecting data, its storage, modification, and the cancelation of different transactions.

This type of system is perhaps important where big data is deployed in managing organisations’ operational systems that support its business.

Decision support systems create an opportunity for improvement of quality of the decisions that are made by organisations’ managers instead of laying them off. Through transaction processing systems, an organisation acquires the capacity to execute simultaneous transactions.

Data that is collected by the system can be held in databases. However, such data stores may not have the capacity to handle big data that relates to the entire customer population.

The data can later be deployed in report production, including billing, reports for scheduling manufacturing, wage reports, production and sales summaries, inventory reports, and check registers.

Both decision support systems and transaction processing systems share common challenges that make them unsuitable for meeting the needs of organisations that deal with big data.

Their security constitutes a big issue. For transaction processing system, the appropriateness of the dealings is overly dependent on the accurateness of the information that is stored in the databases. The decision support system is even slower in helping to arrive at concrete decisions, despite its limited capacity of data processing.

Decision support systems interact with human decision makers. This challenge makes it incredibly irrelevant for an organisation that generates several terabytes of data on a limited duration such as Argonne National Laboratory (Wright, 2014, p.13).

An example of information systems for managing big data successfully at an organisational level is the integrated information management system. One of such systems is the Enterprise Resource Planning (ERP) system.

However, more sophisticated systems are used for managing big data in science research institutions and internet-based organisations such as Amazon and Google companies.

Information management systems are important to all organisations. Speiss, T’Joens, Dragnea, Spencer, and Philippart (2014) assert that some modern organisations’ information management systems depend on “traditional database, data warehouse, and business intelligence tool sets” (p. 4).

Such systems are only configured to serve one organisation using data resources that are only accessible to it (the organisation). This observation suggests that such tools do not possess attributes such as scalability and cost effectiveness, which are necessary while analysing large customer-related data.

Therefore, similar data from other organisations may be important in managing customer experiences better. Such data together with other facts from the organisation in question may be left unanalysed to arrive at more effective decisions on how to serve customers better.

To mitigate the above challenges, alternative information systems that are capable of effectively analysing and interrelating massive scales of data from different organisations have become important. Such massive data is referred as ‘big data’ (Speiss et al., 2014).

The systems for analysing big data are different, depending on the needs of a given organisation, group of organisations, or even a given nation.

Integrated information management systems are important in managing large amounts of information. Once they are customised, they facilitate the generation of information that is critical for making decisions in different departments within an organisation.

For example, an organisation that deals with the manufacturing of products for shipping to customers in different geographical regions may customise integrated information management systems as shown in figure 2.

Figure 2: Example of a customisation approach for an information management system

Xiong and Geng (2014) assert that information management systems can be deployed in analysing big data to yield information that is necessary for making important policy decisions in a given state. For instance, the pro-poor policies that were implemented in China led to a reduction of poverty levels in 2010.

They were based on analysis of big data. Currently, income distribution differences among the poor and the rich people are rising in China and Cambodia. To come up with this deduction, they analysed big data using the Gini coefficient and the Theil Index (Xiong & Geng, 2014).

Although big data is important in making vital decisions upon its analysis, it brings with it an immense responsibility.

In an interview with MIT Media Arts expert, Alex “Sandy” Pentland asserts that organisations do not own data and that “without rules that define who does, consumers will revolt, regulators will swoop down, and the interest of things will not reach its full potential” (Smith, 2014, p.101).

This claim means that information should be availed to all people, instead of being preserved within an organisation’s premises so that other organisations and individuals do not share it or use it after its analysis to make important decisions that can influence their lives and businesses.

From this assertion, an emerging question is whether people should be given the freedom to determine whether their data should be collected and stored in super memory computers so that all people who are interested in it can access it and deploy their big data information systems to yield their required information.

Can people permit others to spy them in the disguise of collecting data?

Alex responds to the above question by claiming that transparency helps in creating trust, which allows people to share their information freely. He notes that people are currently not notified that other people are spying them to collect big data.

This move violates their rights just as they possess the right of control over their bodies (Smith, 2014). Transparency in data collection is incredibly important in ensuring that the information, which is derived from it, is helpful to an organisation.

Alex insists that data, which is collected and analysed through big data information management systems, should complete the whole picture about an individual.

The data is important when it is managed from a central place so that information from it can permit people to personalise their lives in terms of medicines, access to financial services, and insurance among other issues that are important for an individual’s living.

Lack of transparency in data collection and storage only introduces challenges to its security. Indeed, many information management systems suffer from the challenges of unauthorised access to its systems. Lack of trust on an organisation’s information compels people to hack into systems.

Alex confirms how this move influences negatively all critical systems since it paves a way for disasters to arise, including those that lead to the death of innocent people (Smith, 2014).

Considering the merits of maintaining open information management system, there arise questions on how transparency can be achieved. Alex provides an example of the way out.

The Open PDS software, which was developed by MIT experts, permits people to access and view data held in companies’ databases and ensures its safe sharing (Smith, 2014, p.103).

This provides reliability and dependability of the data held by the companies so that people are not temped to access it in unsecure ways leading to crimes like espionage. In fact, some of the important qualities of a big data information management system are accuracy, flexibility, reliability verifiability and dependability.

The need to handle and manage big data safely is important in all walks of life. Reliability in modern scientific research greatly depends on the capacity to present research findings reflecting a large sample size. Indeed, findings are more accurate when the entire population is studied.

In the past, studying population was almost impossibility due to limitation of the capability to collect and analyse big data. Modern technological approaches permit such an endeavour.

In a World of ever changing operational dynamics, more accurate forecasting of consumers and general industry trends is important in developing policies that increases an organisations’ competitive advantage. Therefore, generation of big data is almost inevitable.

The case of SLACK Laboratory evidences the inevitability of generating big data in modern scientific researches.

With its launch being anticipated in 2020, the “the Large Synoptic Survey Telescope (LSST) will feature a 3.2-gigapixel camera capturing ultra-high-resolution images of the sky every 15 seconds, every night, for at least 10 years” (Wright, 2014, p.13). During this period, big data will be generated. However, it requires real time analysis.

Therefore, information management systems for big data are inevitable since this data exceeds the human ability to analyse and interpret. Nevertheless, the existing information management systems still do not have the ability to store all data that can be collected in a scientific research.

For instance, Wright (2014) asserts that although more than 40 billion astronomical objects can be potentially viewed using an ultra-high resolution camera, only data that relates to specific objects of study can be stored. Thus, the data that is available is more than what several parallel super processing and storage computers can handle.

Although the amount of data that can be generated during research may be above the capacity of the current information management systems to handle, the systems continue to develop to meet the increasing capability to collect data.

For example, Wright (2014) reckons that scientists are now exploring and benchmarking from private sectors’ information management approaches such as cloud computing and quantum computing. The situation at SLACK Laboratory is replicated at Argonne National Laboratory.

Argonne gathers more than 11 gigabytes of data in every minute (Wright, 2014). Its head researcher, Jaconsen, claims that his organisation has been struggling with the problem of sharing data amongst its research staff people (Wright, 2014).

A traditional approach has been bringing in hard drives at the place of work to pick the data, which can be analysed at home. However, the improvement in data collection technology implies an increasing amount of data that can be collected per minute.

Consequently, to foster better data sharing Argonne has now resulted in information management systems that use the concept of cloud computing (Wright, 2014).

Although quantum computing may be considered the way to go, it may not meet future expectations.

Wright (2014) supports this line of thought by claiming, “for more traditional computing tasks such as combinatorial optimisation, airline scheduling, or adiabatic algorithms, it is not at all clear that quantum computers will offer any meaningful performance gains” (p.15).

Although the problem may have been in the district of scientific research, organisations that operate in the social media and other business lines that require internet connectivity have to cope with big data challenges.

For example, Google Company, eBay, and Amazon must gather and process huge amounts of data on a daily basis. Consequently, these companies cannot negate from continuous investment in research for better big data integrated information management systems.

Organisations that operate in the global business environment generate a huge amount of data that relates to their customers. Scientific researchers now use more improved data collection tools such as cameras that have immense pixel capabilities. The generated data exceeds the capacity for human decision makers to analyse and interpret it.

Computers that rely on a set of CPUs to optimise processing capabilities are also becoming less important to scientific research communities that are in need of processing interrelated data from super data storage and processing computers.

Apart from scientific researchers, organisations that operate in the internet sector such as Google, Yahoo, and Amazon are also seeking better ways of increasing data collection, storage, and processing to yield information.

While cloud computing and quantum computing are potential solutions, they have limits in terms of their application. Therefore, investment in research for better big data integrated information management systems is inevitable not only for these organisations, but also others that deal with big data as a source of information.

Smith, D. (2014).With Big Data Comes with Big Responsibility: An Interview with MIT Media Lab’s Alex “Sandy” Pentland. Harvard Business Review, 1 (1), 101-104.

Speiss, J., T’Joens, Y., Dragnea, R., Spencer, P., & Philippart, L. (2014). Using Big Data to improve Customer Experience and Business Performance. Bells Lab Technical Journal, 18 (4), 3-17.

Turban, N. (2008). Information Technology for Management, Transforming Organisations in the Digital Economy . Massachusetts, MA: John Wiley & Sons, Inc.

Wright, A. (2014). Big Data Meets Big Science. Communications of the ACM, 57 (7), 13-15.

Xiong, B., & Geng, Y. (2014). Practices and Experiences of GMS Countries Based on Big Data Analysis. Applied mechanics and materials, 687 (691), 4870-4873.

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IvyPanda. (2020, January 28). Information Management Systems. https://ivypanda.com/essays/information-management-systems/

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Chronic disease management firm Omada Health has been changing its approach to cloud intrusion prevention and detection, which is reducing time spent on investigating false positives, says the company's information security leader, Bill Dougherty.

OFFICE/RECORDS CENTER MOVE – A CASE STUDY (AND PRIMER) Wednesday, November 8, 2023 – 6:00 PM to 7:00 PM via Metro Maryland ARMA Chapter

OCTOBER 31, 2023

Free November Webinar OFFICE/RECORDS CENTER MOVE – A CASE STUDY (AND PRIMER) Wednesday, November 8, 2023 – 6:00 PM to 7:00 PM via Zoom Earl Johnson, CRM will present a case study of a major office move that he led while at Ernst & Young in Atlanta, complete with lessons learned.

Case Study: Tackling CIAM Challenges During the Pandemic

APRIL 28, 2021

The federal ban on funding for a national unique patient identifier adds to the complexity of customer identity and access management, especially when dealing with new patients during the COVID-19 pandemic, says Aaron Miri, CIO at UT Health Austin.

Charter Hall Case Study: Mobile Access Provides a Secure Yet Frictionless Tenant Experience

MARCH 23, 2023

The Charter Hall case study explores their decision to leverage mobile access control as a component of the security system for a seamless tenant experience.

Reimagining CX: How to Implement Effective AI-Driven Transformations

Speaker: Steve Pappas, Chief Strategist, Startup and Early Stage Growth Advisor, Keynote Speaker, CX Podcaster

Through actual case studies , Steve will analyze companies that have harnessed the potential of AI-driven conversations to transcend CX boundaries. By enhancing efficiency and personalization while elevating customer satisfaction and loyalty, conversational AI serves as a powerful catalyst propelling a CX revolution like never before!

Learning, work and flexibility: a case study

OCTOBER 30, 2023

Learning, work and flexibility: a case study As part of our look at CILIP accredited courses we talk to Oona Ylinen, a part-time LIS student at UCL and Academic Support Librarian at University of Essex. Here she explains how she chose her course and her career and how an employer’s support with flexible working hours opened the door.

Healthcare Case Study: Identity and Access Management

JANUARY 25, 2019

How can a large healthcare delivery system efficiently handle identity and access management for thousands of clinicians and other users of patient data? Robert Siebenthaler of PeaceHealth explains how his organization, which operates 10 medical centers, has developed a fine-tuned, role-based approach.

Versatile Retention™ and Consulting Case Study: More Than a Vendor – Why Zasio is a Trusted Partner for this Global Pharmaceutical Company

DECEMBER 28, 2021

Check out the case study post here. The post Versatile Retention™ and Consulting Case Study : More Than a Vendor – Why Zasio is a Trusted Partner for this Global Pharmaceutical Company appeared first on IG GURU.

Case Study: Moving to DevSecOps

JUNE 28, 2019

Since Sentara Healthcare adopted a DevSecOps approach, CISO Daniel Bowden says, his security team has gained improved visibility into the entire application development process.

Why You Need to Use Case Studies in Sales and Marketing (and How to Start Now)

Case studies are proof of successful client relations and a verifiable product or service. In sales, case studies are crucial pieces of content that can be tailored to prospects' pain points and used throughout the buyer's journey.

Announcing the new RM Case Studies series

The Schedule

DECEMBER 2, 2020

SAA’s Records Management Section is excited to announce the launching of a new peer-reviewed case study series under the umbrella of SAA Publications. Suggested case study length is 2,500 to 5,000 words. All members of the RIM community are welcome to submit case studies .

Case Study: Improving Point-Of-Sale Security With Biometrics

JUNE 27, 2022

Case Study : Improving Point-Of-Sale Security With Biometrics. sparthasaradhi. Mon, 06/27/2022 - 11:25.

Healthcare Case Study: Contact Tracing and Care Continuity

DECEMBER 2, 2021

Healthcare Case Study : Contact Tracing and Care Continuity. raufreiter. Thu, 12/02/2021 - 11:44.

Case Study: Automated Contact Tracing in HID Malaysia Manufacturing

JANUARY 4, 2022

Case Study : Automated Contact Tracing in HID Malaysia Manufacturing. raufreiter. Tue, 01/04/2022 - 12:28.

Prioritizing Customer Experience Using SLIs & SLOs: A Case Study from The Telegraph

Advertiser: Datadog

Do you know what’s annoying? Getting constant alerts that something is broken with your product, despite there being nothing wrong. Alert fatigue is a real thing. There was a time when technology managers needed to actively monitor these kinds of granular metrics, but today, these alerts just create distracting noise.

Case Studies: Managing Identity With Blockchain

AUGUST 26, 2019

Pioneers Test Using the Technology for Identity and Access Management Government agencies and private sector organizations around the world are experimenting with the use of blockchain to help manage digital identity. Here are three examples of pioneering efforts in the U.S., Canada and India.

CGS-CIMB Case Study: Mobile Access for Financial Services

APRIL 11, 2022

CGS-CIMB Case Study : Mobile Access for Financial Services. Mon, 04/11/2022 - 12:07.

Microsoft’s case study: Emotet took down an entire network in just 8 days

Security Affairs

APRIL 4, 2020

‘We want to stop this hemorrhaging,’ an official would later say,” states DART case study report. The post Microsoft’s case study : Emotet took down an entire network in just 8 days appeared first on Security Affairs. Copyright (C) 2014-2015 Media.net Advertising FZ-LLC All Rights Reserved -->.

Retail Case Study: ?abka Streamlines Access Control and Enhances User Experience

JANUARY 25, 2022

Retail Case Study : ?abka abka Streamlines Access Control and Enhances User Experience. Tue, 01/25/2022 - 10:06.

Leading Advertising and Analytics Company Outperforms With a Graph Database

Download the case study to learn more! Xandr, a division of AT&T, has built an identity graph that connects information on people, households, and more. The company is using this graph to provide advertisers an ability to deliver commercials more successfully than ever before.

Case Study — Digital Student IDs Elevate Educational Experience

JUNE 13, 2023

Higher education is moving towards digital experiences. Digital student IDs & mobile IDs improve campus life, create safer interactions, & simply processes.

Case Study: How IU Health Manages Vendor Security Risk

SEPTEMBER 30, 2019

What are some of the most important aspects in managing vendor security risk when taking on third-parties to handle sensitive data? Mitch Parker, CISO of Indiana University Health, explains the critical steps his organization is taking in its approach to vendor risk.

Webinar: Stop, Drop, and Innovate: Six Case Studies via Mid-Michigan ARMA Chapter on Thursday, December 17th at 4pm Eastern

DECEMBER 10, 2020

The post Webinar: Stop, Drop, and Innovate: Six Case Studies via Mid-Michigan ARMA Chapter on Thursday, December 17th at 4pm Eastern appeared first on IG GURU.

Hanzo CASE STUDY: eDPM Advisory Services

Hanzo Learning Center

JUNE 25, 2019

In this case study , we explore how Hanzo customer, eDPM Advisory Services helped their customer with preserving, collecting, producing, and presenting information from novel and challenging data sources to strengthen their case .

Are You Ready For Predictive Analytics?

Speaker: Anita Lauper Wood, Product Strategist

Join Anita Lauper Wood, Product Strategist, for a valuable session for product and technology leaders who want to learn: Case studies showing value derived from predictive analytics. There are risks that need to be consciously addressed, and successful implementation requires the right strategy.

How Real-Time Location Systems Enable Continuity of Care During COVID-19: A Case Study with TPIRC

How Real-Time Location Systems Enable Continuity of Care During COVID-19: A Case Study with TPIRC. raufreiter. Thu, 12/02/2021 - 11:44.

A Case Study - Db2 for z/OS High-Performance DBATs

Robert's Db2

JULY 31, 2020

That implementation effort has involved a good bit of back-and-forth communication between myself and the Db2 administrator, and I saw that it makes for a good case study that touches on many of the issues associated with high-performance DBAT set-up, monitoring and usage. And there you have it.

The Data Breach Case Study & Protection Guide

Record Nations

MAY 8, 2018

The post The Data Breach Case Study & Protection Guide appeared first on Record Nations. After a $5.5 million settlement, Nationwide Insurance’s breach serves as just one example of the growing number of data breaches each year—making it all the more important you have protections in place. Recently […].

Hanzo Helps Global Biotech Company with Data Management & Compliance Archiving: A Case Study

NOVEMBER 3, 2022

Our client was a global biopharmaceutical company with over US$ 10 billion in annual revenues. They have over 30,000 employees and operate in 30 countries around the world.

How to Package and Price Embedded Analytics

Just by embedding analytics, application owners can charge 24% more for their product. How much value could you add? This framework explains how application enhancements can extend your product offerings. Brought to you by Logi Analytics.

Case Study: LoanLogics Combined Compliance & Security Awareness Training to Improve Security Culture

AUGUST 29, 2023

In the drive to build a strong security culture, security awareness and compliance training should work hand in hand.

The Lighting the Way project team is pleased to announce the publication of The Lighting the Way Handbook: Case Studies, Guidelines, and Emergent Futures for Archival Discovery and Delivery, edited by Mark A. Matienzo and Dinah Handel

NOVEMBER 4, 2021

The post The Lighting the Way project team is pleased to announce the publication of The Lighting the Way Handbook: Case Studies , Guidelines, and Emergent Futures for Archival Discovery and Delivery, edited by Mark A. Check out this publication from the Standford Libarary. Matienzo and Dinah Handel appeared first on IG GURU.

OnDemand Webinar | Fraud ROI for Ecommerce: Drive More Revenue with Fewer False Positives

OCTOBER 12, 2021

OnDemand Webinar | Fraud ROI for Ecommerce: Drive More Revenue with Fewer False Positives Watch this onDemand webinar which includes an e-commerce case study on fighting fraud & user friction.

Webinar: Taming the Beast – A Case Study in Microsoft Teams Governance on December 15, 2020 12pm MST via ARMA Mile High Denver Chapter

DECEMBER 11, 2020

The post Webinar: Taming the Beast – A Case Study in Microsoft Teams Governance on December 15, 2020 12pm MST via ARMA Mile High Denver Chapter appeared first on IG GURU. It offers […].

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Top 40 Most Popular Case Studies of 2021

Two cases about Hertz claimed top spots in 2021's Top 40 Most Popular Case Studies

Two cases on the uses of debt and equity at Hertz claimed top spots in the CRDT’s (Case Research and Development Team) 2021 top 40 review of cases.

Hertz (A) took the top spot. The case details the financial structure of the rental car company through the end of 2019. Hertz (B), which ranked third in CRDT’s list, describes the company’s struggles during the early part of the COVID pandemic and its eventual need to enter Chapter 11 bankruptcy. 

The success of the Hertz cases was unprecedented for the top 40 list. Usually, cases take a number of years to gain popularity, but the Hertz cases claimed top spots in their first year of release. Hertz (A) also became the first ‘cooked’ case to top the annual review, as all of the other winners had been web-based ‘raw’ cases.

Besides introducing students to the complicated financing required to maintain an enormous fleet of cars, the Hertz cases also expanded the diversity of case protagonists. Kathyrn Marinello was the CEO of Hertz during this period and the CFO, Jamere Jackson is black.

Sandwiched between the two Hertz cases, Coffee 2016, a perennial best seller, finished second. “Glory, Glory, Man United!” a case about an English football team’s IPO made a surprise move to number four.  Cases on search fund boards, the future of malls,  Norway’s Sovereign Wealth fund, Prodigy Finance, the Mayo Clinic, and Cadbury rounded out the top ten.

Other year-end data for 2021 showed:

• Online “raw” case usage remained steady as compared to 2020 with over 35K users from 170 countries and all 50 U.S. states interacting with 196 cases.
• Fifty four percent of raw case users came from outside the U.S..
• The Yale School of Management (SOM) case study directory pages received over 160K page views from 177 countries with approximately a third originating in India followed by the U.S. and the Philippines.
• Twenty-six of the cases in the list are raw cases.
• A third of the cases feature a woman protagonist.
• Orders for Yale SOM case studies increased by almost 50% compared to 2020.
• The top 40 cases were supervised by 19 different Yale SOM faculty members, several supervising multiple cases.

CRDT compiled the Top 40 list by combining data from its case store, Google Analytics, and other measures of interest and adoption.

All of this year’s Top 40 cases are available for purchase from the Yale Management Media store .

And the Top 40 cases studies of 2021 are:

1.   Hertz Global Holdings (A): Uses of Debt and Equity

2.   Coffee 2016

3.   Hertz Global Holdings (B): Uses of Debt and Equity 2020

4.   Glory, Glory Man United!

5.   Search Fund Company Boards: How CEOs Can Build Boards to Help Them Thrive

6.   The Future of Malls: Was Decline Inevitable?

7.   Strategy for Norway's Pension Fund Global

8.   Prodigy Finance

9.   Design at Mayo

10. Cadbury

11. City Hospital Emergency Room

13. Volkswagen

14. Marina Bay Sands

15. Shake Shack IPO

16. Mastercard

17. Netflix

18. Ant Financial

19. AXA: Creating the New CR Metrics

20. IBM Corporate Service Corps

21. Business Leadership in South Africa's 1994 Reforms

22. Alternative Meat Industry

23. Children's Premier

24. Khalil Tawil and Umi (A)

25. Palm Oil 2016

26. Teach For All: Designing a Global Network

27. What's Next? Search Fund Entrepreneurs Reflect on Life After Exit

28. Searching for a Search Fund Structure: A Student Takes a Tour of Various Options

30. Project Sammaan

31. Commonfund ESG

32. Polaroid

33. Connecticut Green Bank 2018: After the Raid

34. FieldFresh Foods

35. The Alibaba Group

36. 360 State Street: Real Options

37. Herman Miller

38. AgBiome

39. Nathan Cummings Foundation

40. Toyota 2010

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Management Information System: Case Study of Amazon.Com

Organizations under E commerce industry seek to attain core competence by creating and sustaining a unique process to collect personal information about customers and their purchasing trends. The report critically evaluates the how service based organization-Amazon use Management information systems as a vibrant tool in attaining competitive advantage through efficient management and acquisition of information. The study involves assessment of the best MIS practices in place for Amazon throughout its value chain activities. Uniqueness of MIS is being highlighted in the report through assessment of technology, process and the systems that Amazon use right from the initiation of the end user with the website till the payment and delivery mode is being selected. The last part of the report involves discussions on recommendations and suggestions for Amazon in order to enhance its existing MIS systems in place. The recommendations are based on the assessment of qualitative information and the extent of feasibility in implementing the proposed strategies.

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Robins AFB Job Announcements: Cost SME and Data SME

March 26, 2024

Who We Are:   AFSC/FZC-R provides cost estimating support in the preparation of Life Cycle Cost Estimates, Business Case Analyses, Economic Analyses and Cost Studies in support of resource decisions for management of weapon systems and other Investment Programs, partnering with the Air Force Sustainment Center and the Air Force Life Cycle Management Center at Robins Air Force Base.

AFSC/FZC-R has  TWO  vacant NH-1515-04 SME positions, a Cost SME and a Data SME.   Please see below for job advertisement links and details.  The job announcements are open through April 8, 2024.   

NOTE:  If the links below do not work, simply go to  afciviliancareers.com  and search for jobs at Robins AFB. 

Please forward to anyone that you think would be interested and qualified! 

Operations Research Analyst (Data SME) NH-1515-04

Link:   https://afciviliancareers.com/find-a-job/#jpm_a0583000000GjhmAAC

• In this position you will operate as the Subject Matter Expert (SME) regarding Operations Research Analysis tasks. Performs a broad range of operations research analyses assignments entailing unique problems, creativity, innovative use of techniques, advanced approaches, and/or new technologies. Performs studies of issues arising in varied subjects of advanced difficulty and complexity. Provides technical guidance, advisory support, and assistance on an entire project and/or major phases for broad and varied operations. Performs very complex, difficult studies/evaluations on an individual basis or as a team member/leader responsible for completing phases of an overall work effort.
• Employs scientific and analytical techniques to define, quantify, and evaluate the feasibility of assigned projects, studies, or problems. Performs independent analysis leading to unique analytical research proposals and studies that recommend alternative courses of action to senior AF officials. Designs, researches, and conducts complex, major developmental studies that are unique, difficult to define, and require unconventional approaches. Assignments include high visibility programs, unusual urgency, or critical issues which require application of the full range of advanced scientific and experimental techniques. Defines problems and develops and coordinates study plans. Develops analytical and/or mathematical models for use in preparing evaluation criteria and/or testing sequences. Determines sources of data and sample size; plans, designs, and conducts test(s) to obtain data; compiles, organizes, and analyzes data. Unique problems encountered require creativity, innovative use of techniques, advanced approaches, and/or new technologies to solve problems, enhance performance, or increase efficiency and effectiveness.
• Reviews and evaluates study projects, proposals, and/or reports for adequacy of methodology, including the use or development of computerized models, ensuring the techniques used are valid and appropriate to the problem or issue identified. Ensures problem is clearly defined through data collection, research, and investigation of objectives and relevant criteria. Identifies additional questions to be answered, provides or critiques essential elements of analysis, and provides alternatives to be considered, as well as suggests analytical techniques to be employed. Provides expertise concerning the validity of assumptions made and the criteria by which alternatives are evaluated. Advises and recommends new techniques, innovations, and technical and scientific advancements which may serve as a means of overcoming issues. Evaluates information and makes recommendations based on thoroughness of the study and significance of the findings.
• Serves as a consultant and technical expert to senior subject matter specialists and/or agency officials responsible for broad program operations. Utilizes technical knowledge to formulate, determine, and/or influence policy. Conclusions and recommendations have a direct impact on senior management plans and decisions regarding policies and procedures. Conducts analysis of various systems, relationships, and models; i.e., evaluating and/or redefining the impact of new capabilities on current systems and policies.
• Attends meetings, conferences, briefings, and seminars related to program planning, advanced technologies, and support system concepts. Represents the organization with other experts within the industry. Interfaces with technical/analytical agencies on advances in state-of-the-art technology. Represents the organization during visits with government and industry representatives. Coordinates the contributions of professionals and specialists, notes problems that arise, and resolves differences. Prepares reports, responses to queries, justifications, and background papers on the areas of expertise and assignment. Prepares and presents briefings and makes presentations on study’s progress and results.
• Knowledge of a broad range of computer science and operations research methods and techniques to store, manipulate, transform, or present information by means of computer systems.
• Extensive knowledge of quantitative techniques and methods used to develop, adapt, modify and apply models to resolve problems or define and clarify alternative solutions.
• Advanced skills to negotiate and/or defend findings and program support concepts.
• Mastery skill in the application of analytical methods and techniques. Also applies mathematical and statistical analyses to evaluate the effects of changes in plans and funding and to conduct studies and analyses.
• Ability to develop and utilize appropriate data collection techniques, and design, build, and use models and simulation techniques.
• Ability to communicate effectively, both orally and in writing; negotiate complex issues; and maintain good working relations.
• Ability to lead study teams; originate new ideas, projects, and methodologies; and execute projects and/or studies within established financial and/or time constraints.

Operations Research Analyst (Cost SME) NH-1515-04

Link:   https://afciviliancareers.com/find-a-job/#jpm_a0583000000GjtdAAC

• Operates as the Subject Matter Expert (SME) regarding Operations Research Analysis tasks. Performs a broad range of operations research analyses assignments entailing unique problems, creativity, innovative use of techniques, advanced approaches, and/or new technologies. Performs studies of issues arising in varied subjects of advanced difficulty and complexity. Provides technical guidance, advisory support, and assistance on an entire project and/or major phases for broad and varied operations. Performs very complex, difficult studies/evaluations on an individual basis or as a team member/leader responsible for completing phases of an overall work effort.
• Mastery knowledge of financial management and cost analysis methods, practices, procedures, regulations, policies, and processes applicable to all phases of an acquisition program from initial development through sustainment and disposal.
• Mastery skill in the application of analytical methods and techniques (e.g., cost-benefit analysis, amortization, depreciation, regression analysis, and pro-rating revenues and costs among customers). Also applies mathematical and statistical analyses for EVM and various cost estimating techniques to analyze and evaluate the effects of changes in acquisition program plans and funding. Conducts economic and cost studies and analyses.

Note:  Operations Research Analyst (1515) positions have specific degree requirements.  Basic Requirements: Degree in operations research; or at least 24 semester hours in a combination of operations research, mathematics, probability, statistics, mathematical logic, science, or subject-matter courses requiring substantial competence in college-level mathematics or statistics. At least 3 of the 24 semester hours must have been in calculus. This series covers positions that manage, supervise, lead, or perform scientific work that involves designing, developing, and adapting mathematical, statistical, econometric, and other scientific methods and techniques. The work also involves analyzing management problems and providing advice and insight about the probable effects of alternative solutions to these problems. The primary requirement of the work is competence in the rigorous methods of scientific inquiry and analysis.

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