Reference no: EM133057305
Please explore and critically think about some of the learning outcomes (See below). Please effectively communicate how you would lead an organization (or a group of people within the organization) by applying the knowledge you have learned ethically and responsibly.
Your discussion should also include innovative thinking, and information-technology aspects (such as the Internet, social-media, computers, and so forth) that may assist you in decision-making.
Learning outcome
You may frame your discussion around any functional component of business, and in any context; problem-solving, management, leadership, organizational behavior, and so forth
1. Concepts of Business Intelligence (BI), Analytics, and Data Science
2. Descriptive Analytics; nature of data, statistical modeling, and visualization, BI and data warehousing
3. Differentiate the various types of Predictive Analytics; Data mining process, methods, algorithms, text, web, and social media analytics, optimization and simulation.
4. Examine Big Data concepts and tools
5. Evaluate and appraise the new Trends and privacy, ethical issues involved in data science and analytics.
6. Be able to formulate a construct in terms of Managerial considerations in analytics.
7. Support and explain the Quantitative reasoning aspect of data science and analytics when making managerial decisions.
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Product category of personal interest
: Select a product category of personal interest and this can range from household goods, smart phones, restaurants, auto manufacturers, to industrial products
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Blockchain and cryptocurrency hold immense promise
: As new trends in the world of finance, blockchain and cryptocurrency hold immense promise for bringing prosperity into our world.
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Budgets and political strategies
: Discuss the different principles of business finance versus public finance. Ensure to compare and contrast the characteristics of each
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Contemplate governmental influences
: Discuss why project evaluators need to contemplate governmental influences as they consider project assets, capabilities, and constraints
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Types of predictive analytics-data mining process
: Differentiate the various types of Predictive Analytics; Data mining process, methods, algorithms, text, web, and social media analytics, optimization and simul
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Product for global distribution
: What are some of the differences between the cultures of the countries that you need to understand from a business standpoint?
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Multinational entry-mode strategy
: What dictates the choice of a multinational entry-mode strategy? The global solution to the global-local dilemma refers to
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Ensure privacy of patient records
: Why would a health care clinic or hospital need a health information manager? How might having a designated manager help ensure privacy of patient records?
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Differences between nominal-ordinal and scale data
: What are the key differences between nominal, ordinal, and scale data? In what situations could you find each type of data?
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