How knowledge is discovered and algorithm used for modelling


Assignment: Data & Digital Marketing Analytics

Details of Assignment brief

You are working in the Big Data Dept. of the ‘Red Cloud' company - a large multinational, reporting to the newly appointed CEO.

As she is new to the role, she would like a report (3000 words) explaining the Information Management strategy of the company.

You should include the following topics in this report:

Data Analytics, Data Collection & Storage and the methods and technologies used in analysing the Data.

Data Abstraction Layers, Data Warehousing and Data Mining. The role and benefits of your Big Data Dept prior to a restructure.

She also wants a Data Visualisation to illustrate a relevant Data Set for 3 of the below headings.

Decide

? What industry/business are you in?
? eg HR, Marketing, Sales, Retail, Software development
? As we move through each topic, you must apply it to your business.
? Research - eg how does my company collect/ store/ analyse Big Data...
? How does my company use AI, what are the benefits...
? Find case studies from your specific industry and research to back it up.
? Visualisations to illustrate the meanings - of 3 topics.
? Trends & Recommendations

1. Data analytics - suggested topics:

Data as a business asset, Data organisation issues. The nature and use of information, Evolution of Information usage and modern data models.

2. Data Collection and storage - suggested topics:

Data and information on a local system, files, file types, file systems & databases Storage devices and storage configurations

Tracking codes Cookies and beacons

Explain in detail in your report the methods and technologies used for analysing the data.

3. Data abstraction Layers - suggested topics:

Data independence, data definition, data manipulation languages

Relational data models, functional dependency theory and normalization, External, conceptual and internal schema of data.

4. Data warehousing and how it is done - suggested topics:

Data warehouse features, OLTP VS OLAP, data mart vs data warehousing, generic data warehouse architecture.

5. Data mining- suggested topics:

How new knowledge is discovered, algorithms used for modelling, classification, clustering prediction, sequence analysis and association analysis.

6. Big Data - As part of this report she would like you to explain the role and benefits of your Big Data dept prior to a restructure - suggested topics:

The nature of Knowledge Management, Knowledge capturing and modelling AI, Natural language processing,

Business performance Management, KPI's, Dashboards, and emerging Trends.

7: Data Visualisation: Use a D.V. tool (eg Data Studio, Power BI, Tableau) to create a visualisation to back up your research for at least 3 of the above subjects relating to your company.

Format your assignment according to the following formatting requirements:

1. The answer should be typed, double spaced, using Times New Roman font (size 12), with one-inch margins on all sides.

2. The response also includes a cover page containing the title of the assignment, the student's name, the course title, and the date. The cover page is not included in the required page length.

3. Also include a reference page. The Citations and references should follow APA format. The reference page is not included in the required page length.

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Management Information Sys: How knowledge is discovered and algorithm used for modelling
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