Question

Now that you have a better understanding of The Cloud, Cloud Computing, and Big Data, you will be asked in this Topic Paper to write a brief paper (no more than 3 pages double spaced, 12 point font) on Big Data and Big Data Analytics.

Use what you already know about data, and supplement that knowledge with other materials that you can find to write a brief paper that answers the following questions. Be sure to use your own words to answer each question:

1. What is Big Data? What are Big Data Analytics?
2. What are some of the opportunities that Big Data Analytics presents businesses with?
3. What are some the challenges that need to be overcome currently?

Answer 1

Big Data deals with the huge volumes of complex data of an organization. This data helps the organizations in crucial decision-making.

These days, Big Data is being used in direct sales. Big Data helps in:

• Gaining knowledge regarding customer choices and preferences
• Helps in Automation of monotonous tasks
• More customer satisfaction
• Performance tracking
• Improve brand loyalty
• Helps in discovery of new opportunities
• Time saving

Name of the data source	Description
Customer	Data regarding the customers helps in providing insights about the choice of customers, their preferences, target audience, target demographic location etc.
Competitor	Data of the competitor helps in gaining competitive advantage. It helps in fixing the price and to have a brief knowledge about our strengths, weaknesses, opportunities and threats.
Product	Data of the product helps in choosing the target audience. It helps in enhancing the product life cycle which is an essential step in any business.
Customer approach	Data regarding the customer approach is must in the contemporary world. It helps the organization in choosing the best ways to reach the target customers.

As the application of Big Data in all these aspects helps in improving the sales, an organization can introduce this technology to improve day to day business activities.

Challenges faced by Big data analytics:

• Dealing with huge data is highly difficult.
• Recruiting big data talent.
• Security and privacy issues.
• Visual representation of data.
• Inaccessible and poor quality data.
• Budget.