Raven Property Management Data Security Proposal Background of the company Raven is a limited liability company that does govern the operation of a chain of retail supermarkets. In that regard, to this company, a lot of sensitive and confidential information entrusted to its disposal to ensure safety and safeguard. Data stored in their databases from their loyal clients include information such as names of the Directors, health status, passwords, account statements, statutory tax compliance accounts, the creditworthiness of the retail companies. This kind of data calls for extra care when being handled by Raven to avoid possible loss, malicious attack, or even possibility of tampering with it. Therefore, security matters towards this information lie in the hands of a Security Consultant in collaboration with other teams of staff within the organization (Safa & Von, 2016). Although the company has put in place security measures to control access of data as explained above, there are still vulnerabilities and threats to the customers’ data, basing on the fact that the field of technology is advancing day by day. For instance, they have not…
The global electric vehicle (EV) market Background Industry Context The global electric vehicle (EV) market has witnessed remarkable growth over the past few decades due to technological developments, changing environmental regulations coupled with the changing consumer needs and preferences. The global EV market was valued at $118,864.5 million in 2017 and is projected to reach $567,299.8 million by 2025, which accounts for 22.3% CAGR growth from 2018-2025 (Kumar, 2019). The UK is on one of the countries that have been witnessing faster uptake of EVs with the market $ 2.4 billion in 2018 and are expected to reach $ 5.4 billion by 2024, marking 14% CAGR growth over the period (Techsci Technology, 2020). And with the UK planning to ban the sale of new diesel and gasoline cars by 2040, such a political development is expected to drive the growth of the UK EV market, and this makes it an attractive industry for automakers. Description of and rationale for the new product (degree of innovativeness/ newness, radical/ incremental) Jaguar Land Rover (JLR) is a UK automotive manufacturer founded…
Enterprise system security plan Executive summary An enterprise security plan is an essential element for any organization as it helps to protect it. Enterprise system security has increasingly become important because of the increase in the incorporation of security into the operations of any organization. This is the case at Auburn Regional where the systems have been incorporated into the daily operations of the facility. The systems have been able to improve the efficiency of operations. However, an implementation of the enterprise systems security plan is ensured to protect the facility while further improving the efficiency of the operations. The five strategic objectives of data loss prevention, access controls, data management, risk management and cloud technology when implemented will ensure improved security, efficiency and reduce the operational costs of the organizations. Strategic objectives of enterprise system security Auburn regional is a small health care facility and matters of security are an important aspect to it just like in any other health care facility. Data loss prevention is an important aspect because the organizations deals with sensitive information which the patients…
Data-driven Innovation at the Grupo Pellas SER Company Reasons for BI System Implementation at SER From the case study, SER decided to implement the BI system for several reasons. Primarily, the company sought to enhance its business operations by leveraging its existing systems with the new technology. Throughout its existence, SER had accumulated over 120 years of disorganized and unsystematic information that it could use to improve its decision-making processes (Zamora & Barahona, 2016). Historical data is essential in determining such elements as the cost trends of production, resource needs, and demand patterns for its various offerings. Notably, the emergence of big data and modern analytical capabilities enables organizations to draw statistics from such areas as transactions, communication, and other elements in the whole supply chain (Jeble, Kumari, & Patil, 2018). In this regard, decisions can be based on evidence from such past elements, which in many cases tend to be repetitive or highly identical. Additionally, SER implemented the BI system to keep track of its production processes by evaluating key deliverables, relevant influencing factors, and gain the potential to…
Summary on pitfalls of data that have driven decisions written by Megan MacGarvie and Kristina McElheran Chapter 15 This chapter is about the pitfalls of data that have driven decisions written by Megan MacGarvie and Kristina McElheran. He states that managers are still likely to be vulnerable to an array of pitfalls when applying data to back up their hard decisions even if they apply impressive large data sets, careful statistic methods, and best analytics tools. There are different traps in the decision-making process coming from the fact that individuals do not carefully process all pieces of data in all decisions. They instead depend on simplified procedures. Megan and Kristina have provided three primary cognitive traps that normally skew decision making, even when people use the best data. The first cognitive trap is the confirmation trap, according to Megan and Kristina. One is likely to fall into this trap when he pays more attention to the findings aligning with the belief he had before and ignore other facts and patterns in the data. This can happen even with small data…
Data Warehouse Design Q1. A Comprehensive Understanding of the Concepts, Purposes, Architectures, Evolution Benefits of Data Warehouse Data Warehousing is a collection of business information and data derived from functioning systems as well as external data sources. A data warehouse is created to prompt business decisions by permitting consolidation of data, analysis, and reporting at diverse aggregate levels (Ross et al. 2014). Data is transferred into the DW either by extraction, transformation, and or loading. The concepts of data warehousing involves integration of data stores and logical, physical, and conceptual models in efforts to support business objectives and information needs of the end-user (Ross et al. 2014). Generating a DW entails mapping data amid targets and sources, then capturing information details in a metadata repository. The data warehouse offers a single and comprehensive source of historical and current information. There are three different types of DW, such as enterprise Data warehouse, Data Mart, and operational data store. Enterprise DW is an integrated warehouse, which offers decision support package across an enterprise (Patel & Patel 2012). It provides a unified method…
Objectives for Innovation in Apple Inc. Introduction Apple has been vastly recognized globally, but to its advance goals, more measures have to be put in to practice. Innovation is a significant opportunity that should be put into consideration for Apple to have an advantage over its competitors. Innovation facilitates competitive advantage in cost leadership, product differentiation, and focus for the organization. Innovation means the introduction of a new idea, method, or device into a business, a firm, or a company ( Jeffrey, Sharir, and Maman, 2018). Innovation is a significant opportunity to keep Apple growing. Objectives for Innovation in Apple Inc. Expanding sales to low-income individuals who cannot afford to own products from Apple is one of the objectives. Basing on the organization’s SWOT analysis, Apple products are highly priced and are considered a luxury by many people. Due to their premium pricing, low-income consumers cannot afford Apple products. Through innovation, new designs can be produced that can be affordable to such customers hence improving its market. Tracing the movement of technology is an objective that can be achieved through…
Testing the Autonomous Vehicles Approach Introduction An autonomous vehicle is a self-driven one or one that acts like a robot. It has incredible features that will amaze you because the car can sense the environment around. It can move by itself with very little or no human help. However, the self-driven vehicle is not safe all the time since systems can fail to collaborate. System failure can cause accidents if the car does not detect stationary objects on the road. Approach to Autonomous Vehicles The policymakers must make sure that AVs must be safe to use before being introduced to customers. The AVs should be more reliable than conventional vehicles so that the rate of accidents gets low. Hacking can be fatal, especially if your enemy has access to your autonomous vehicle. Think of it, if drug dealers or any criminal want to attack a government, they can try and access the autonomous cars and cause an unexpected accident. Therefore, before releasing the AV to the world, engineers should make sure that it is free from hacking. Currently, it is…
Interviews as a valuable tool in obtaining data in qualitative research When undertaking qualitative research, three broad categories of data collection are utilized, and they include interviews, participant observation, and personal documents. While all the three instruments can enable a researcher to collect the relevant data from the participants, interviews are preferred in the current study as the most suitable tool. Interviews are a valuable tool in obtaining data in qualitative research because they allow researchers to interact with the participants and to observe non-verbal cues that may provide additional content about the phenomenon being investigated (Kothari 2004). In this study, an unstructured interview technique will be utilized to enable an open-in-depth discussion of the research topic. This approach, hence, allows a researcher to comprehend the complexity of the situation without imposing any prior categorization. By selecting interviews as a suitable technique for collecting data, the researcher aims to gain a more in-depth understanding of the participants’ constructions through conversations as well as the language they use to advance different discourses. The most critical strength of this instrument is that…
statement of purpose on my aspirations in the era of Data Analytics The ensuring statement of purpose is meant to put forth my aspirations in the era of Data Analytics. Data is available through customer’s mobile app usage, digital clicks, interactions on social media and more resources, all contributing to a data fingerprint that is completely unique to its owner. To go more deep into the roots, I want to attend the highest level of education in Data Analytics from your prestigious university which offers a stimulating career prospective, tremendously enabling the engineers to go deep into the roots of data sciences. Data Analytics has an existence since very long time and has evolved with availability of newer and better technologies. Demand for graduates with technical skills in analysing big data sets, as well as strong business acumen, is by far increasing. I look forward to pursue my Masters abroad. During my research on multiple options available abroad, I found that University of Sheffield in the UK offers one of the best courses for Masters in Data Analytics through…