Question

In: Operations Management

What characterizes Big Data? There are 3 phases/types of data analytics. Briefly discuss each one.

What characterizes Big Data? There are 3 phases/types of data analytics. Briefly discuss each one.

Solutions

Expert Solution

Big data refers to the availability of data on the internet through various platforms, and also the stored data of an organisation, that keeps growing everyday. The data is massive and helps to generate patterns for making necessary decisions, by the application of various statistical and mathematical models.

Big data can be characterized by the following points:

* It is voluminous and contain all kind of data (relevant or irrelevant.)

* Big data is made up from structured and unstructured data.

* Velocity of data inputs is frequent and is huge.

Data analytics is a systematic process applied to generate a meaningful Information from the raw data collected. It supports decision making and modelling the data.

There are three major types of data analytics:

* Descriptive: it focuses on historical (past data) to generate information.

* Predictive: it focuses on the probability of the outcomes or forecasting, in order to understand patterns and make necessary Decisions for future.

* Prescriptive: it involves providing insights regarding the use of data and what should be done in the current situation to get maximum benefit.

(Please like the answer it will encourage me.)


Related Solutions

what are the Drivers for Cloud analytics and big data?
what are the Drivers for Cloud analytics and big data?
Fundamentals of Big Data Analytics • Critical Success Factors for Big Data Analytics. • Enablers of...
Fundamentals of Big Data Analytics • Critical Success Factors for Big Data Analytics. • Enablers of Big Data Analytics • Challenges of Big Data Analytics • Business Problems Addressed by Big Data Analytics Top 5 Investment Bank Achieves Single Source of the Truth Questions for Discussion 4. How can Big Data benefit large-scale trading banks? 5. How did MarkLogic’s infrastructure help ease the leveraging of Big Data? 6. What were the challenges, the proposed solution, and the obtained results?
Fundamentals of Big Data Analytics • Critical Success Factors for Big Data Analytics. • Enablers of...
Fundamentals of Big Data Analytics • Critical Success Factors for Big Data Analytics. • Enablers of Big Data Analytics • Challenges of Big Data Analytics • Business Problems Addressed by Big Data Analytics Top 5 Investment Bank Achieves Single Source of the Truth Questions for Discussion 4. How can Big Data benefit large-scale trading banks? 5. How did MarkLogic’s infrastructure help ease the leveraging of Big Data? 6. What were the challenges, the proposed solution, and the obtained results?
Discuss how big data and data analytics are changing the role of Management Accountants.
Discuss how big data and data analytics are changing the role of Management Accountants.
Discuss how big data and data analytics are changing the role of Management Accountants.
Discuss how big data and data analytics are changing the role of Management Accountants.
Discuss key aspects on how data analytics and big data (BDA) are transforming audit.
Discuss key aspects on how data analytics and big data (BDA) are transforming audit.
The emerging research analytics are: big data analytics, text analytics, web analytics, network analytics and mobile...
The emerging research analytics are: big data analytics, text analytics, web analytics, network analytics and mobile analytics. Focus on Mobile Analytics and discuss. Mobile Analytics As an effective channel for reaching many users and as a means of increasing the productivity and efficiency of an organization’s workforce, mobile computing is viewed by respondents of the recent IBM technology trends survey (IBM 2011) as the second most “in demand” area for software development. Mobile BI was also considered by the Gartner...
What do you think are the top 3 future challenges for big data (BD) analytics? •...
What do you think are the top 3 future challenges for big data (BD) analytics? • Defend your choices , and provide citations • Find 3 examples of failed BD projects • Identify reasons for failure • Prepare to share in class
What opportunities are arising in the accounting field due to big data and data analytics?
What opportunities are arising in the accounting field due to big data and data analytics?
Hadoopis one of the feasible and affordable solutions for big data analytics. Its success is on...
Hadoopis one of the feasible and affordable solutions for big data analytics. Its success is on the numerous add-on products in its 4 functional areas. Describe what the following add-onproducts are and how it can help in big data analytics with around 50 to 100 words each. 1) Pig 2) Spark 3) Storm 4) Atlas 5) Flume 6) Solr 7) HBase 8) Oozie
ADVERTISEMENT
ADVERTISEMENT
ADVERTISEMENT