In business, people are constantly making decisions. Show that you understand the decision-making process and the applications, technologies, and processes for gathering, storing, accessing, and analyzing data to help business users make better decisions.

Discuss the importance of using historical data from a database, data warehouse, or data mart for making decisions for an organization. You will learn about the different types of data analytics and the different ways to present the data to make effective decisions.

Marketing managers at TED, known for TED Talk events and conferences, feel that the data they have collected over the years could be analyzed to provide them with some insights about their products. They have come to you because of your expertise in data management, knowledge management, and business analytics to ask for your recommendations.

Data Analytics Lesson 02: Supporting Data

1. Range of minutes most common when sorted by million views = 16 - 20

2. range of minutes most common when sorted by number of comments = 16 - 20

QUESTION: Recommendation to the TED Talk Managers about the target length of a presentation based on the data identified?

Data Analytics Lesson 04: Supporting Data

1. Total number of comments for all the years = 64,660

2. The average number of views for 2006 = 18.90

3. The average length of videos in 2005 = was 11.28 minutes

4. Of the top 100 TED talks, the highest average number of views = 2006

5. Highest number of total comments = 2013

QUESTION: Is the average length the same for these two years? What does this indicate about the year and length of a presentation?

Part 2:

Next, need to discuss options as to how you might assist the company based on the data from the spreadsheets you just completed. What are the three types of analytics that you can provide? What tools could you use? What are the ways that this information might be presented to them to be the most effective? Demonstrate that you understand how the concepts of data and knowledge management, big data, and business analytics fit together to provide strategic information.