Question

In: Statistics and Probability

describe to us what big data is and share with us an example? What are some...

describe to us what big data is and share with us an example? What are some ethical considerations in how the data was gathered and how it might be used for research or other purposes? What about big data makes these considerations similar or different to data obtained through traditional real-world experimental methods?

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Expert Solution

The big data revolution has completely changed the market research situation. The breakdown of information created by the exploding social culture has given rise to great interest, it can reveal the true wishes of users. A new type of customer is defined.

Big data means big data - it can be either structured or unstructured, arising from daily activities or business operations. It is used to gain insight into better decision-making and refining strategies and goals.

Quantity - Data collected from different sources, for example, credit card users How many VISA cards do you use? What are the stores / malls / internet? Which geography? Age group? Worker? Etc.

Speed ​​- A lot of data comes in at a fast rate and needs to be run faster, for example with GPS up to 1,000 cylinders from companies like Uber.

DIFFERENCES DATA - Digital data / data from email, SMS, video, MP3 / audio, written data, etc.

Using Business Intelligence to Improve Your Capacity and Business are as follows:

    Set your price
    Promote the product
    Get customer orders
    Make a sales estimate
    Follow up customers repeatedly to send flyers or thank yous
    Credit Management
    Purchasing of raw materials (purchases)
    Make lemonade
    Manage formulas
    Maintain record of production
    Save original transaction data
    Sales, purchases of raw materials, payroll, rebates
    Provides sales forecast data, credit management, cash management

Security and Ethics Challenges:

    Ineffective sharing of data or moving in the wrong place and within a functional area can lead to breaches of security and movement of highly sensitive data both inside and outside the organization. The solution is to violate strict data and information sharing rules.
    Senior or middle management sometimes exchanges mixed information about a company’s finances, sales, or assets. Etc. Competitors or other countries for their own benefit. The solution is to develop ethics and accountability for the company
    People also transform the data in their hobbies into a hierarchy or department for personal and professional benefits such as growth / promotion / appreciation. Etc. For their benefit and hide them from senior management or investors. This creates serious problems for all team members. The decision is a shout out to the police and encourages all employees to act immediately.


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