Reference no: EM132609045
LCBB5000 Data Handling And Business Intelligence - University of Wales
Business Management
Learning Outcome 1: Identify and critically evaluate the current trends in data warehousing, business intelligence and data mining.
Learning Outcome 2: Demonstrate a comprehensive knowledge and systematic understanding of essential concepts and principles by using predictive analytic software.
Assessment Component
You will write a journal review on one current trend in Business Intelligence that you will have covered over the course of the semester which you will need to agree with your tutor. Your tutor is not only interested in the coverage and content of the article being reviewed but also in your critical assessment of the ideas and argument that are being presented by the author.
Use the following information as a starting point for your research to help with identifying current trends in BI:
Heading into 2016, the business intelligence (BI) landscape is one very much in flux. Big Data, cloud services, predictive analytics, and data science are continually innovating spaces that each feed into BI, constantly changing the role it plays within enterprises and a growing number of small to midsize businesses (SMBs).
This past year saw a big shift toward businesses leveraging self-service analytics data. Rita Sallam, a Research Vice President at Gartner who focuses on BI and analytics, said self-service data preparation will become an increasingly important component of a pervasive modern BI platform deployment, be it through embedded tools or geared toward improving data governance.
"2016 is the year of modern BI and analytics [BI&A] platform," said Sallam. "The BI&A market is in the final stages of a multiyear shift from IT-led, system-of-record reporting to pervasive, business-led, self- service analytics. Organizations will continue to transition to easy-to-use, fast, agile, and trusted modern BI&A platforms deployed across the enterprise to create business value from deeper insights into diverse data sources."
1. Research-informed Literature
Your work must be informed and supported by scholarly material that is relevant to and focused on the task(s) set. You should provide evidence that you have accessed a wide range of sources, which may be academic, governmental and industrial; these sources may include academic journal articles, textbooks, current news articles, organisational documents, and websites. You should consider the credibility of your sources; academic journals are normally highly credible sources while websites require careful consideration/selection and should be used sparingly. Any sources you use should be current and up-to- date, typically published within the last five years or so, though seminal works in the field may be older. You must provide evidence of your research/own reading throughout your work, using in-text citations in the main body of your work and a reference list that is alphabetical at the end of your work. Please use the Harvard referencing system.
Specific to Assignment 1: You need to have a minimum of 6 academic sources, correctly referenced in Harvard style.
2. Knowledge and Understanding of Subject
Your work must demonstrate the growing extent of your knowledge and understanding of concepts and underlying principles associated with the subject area. Knowledge relates to the facts, information and skills you have acquired through your learning. You demonstrate your understanding by interpreting the meaning of the facts and information (knowledge). This means that you need to select and include in your work the concepts, techniques, models, theories, etc. appropriate to the task(s) set. You should be able to explain the theories, concepts, etc. meaningfully to show your understanding. Your mark/grade will also depend upon the extent to which you demonstrate your knowledge and understanding; ideally each should be complete and detailed, with comprehensive coverage.
3. Analysis
Your work must contain evidence of logical, analytical thinking, evaluation and synthesis. For example, to examine and break information down into parts, make inferences, compile, compare and contrast information. This means not just describing What! but also justifying: Why? How? When? Who? Where? At all times, you must provide justification for your arguments and judgements. Evidence that you have reflected upon the ideas of others within the subject area is crucial to you providing a reasoned and informed debate within your work. Furthermore, you should provide evidence that you are able to make sound judgements and convincing arguments using data and concepts. Sound, valid conclusions are necessary and must be derived from the content of your work. There should be no new information presented within your conclusion. Where relevant, alternative solutions and recommendations may be proposed.
4. Practical Application and Deployment
You should be able to demonstrate how the subject-related concepts and ideas relate to real world situations or a particular context. How do they work in practice? You will deploy models, methods, techniques, and/or theories, in that context, to assess current situations, perhaps to formulate plans or solutions to solve problems, some of which may be innovative and creative. This is likely to involve, for instance, the use of real world examples and cases, the application of a model within an organisation and/or benchmarking one organisation against others based on stated criteria. You should show awareness of the limitations of concepts and theories when applied in particular contexts.
5. Skills for Professional Practice
Your work must provide evidence of the attributes expected in professional practice. This includes demonstrating your individual initiative and/or collaborative working. You must communicate effectively in a suitable format, which may be written and/or oral, for example, essay, management report, presentation. Work should be coherent and well-structured in presentation and organisation.
Attachment:- Data Handling And Business Intelligence.rar