MidtermQuiz-3-12-2024-CustomerAnalytics

It analyzes performance data and learns the normal behavior of a system. It can use data from various sources and integrate with existing monitoring products.

This includes turning data into predictive insights to find your ideal customers. These people recognize your value and utilize your products or services to the fullest.

• Grow Revenue

• Acquire Customers

• Maintain Loyal Customers

• Predictive Analytics

This includes turning data into predictive insights to retain the customers you have and spend less money trying to prevent churn, which refers to the defection, constant loss, and short-term return of customers.

• Maintain Loyal Customers

• Acquire Customers

• Grow Revenue

• Predictive insights

This includes turning data into predictive insights to most businesses have growth as one of their top five goals. With the right customer analytics solution, you can expand your reach, increase profits, and determine the right upsell and cross-sell offers for your customers.

• Predictive insights

• Grow Revenue

• Maintain Loyal Customers

• Acquire Customers

5 V's of big data, refers to the amount of data that exists. The rapidly increasing volume data is due to cloud-computing traffic, IoT, mobile traffic etc.

• Volume

• Velocity

• Value

• Variety

• Veracity

5 V's of big data, refers to how quickly data is generated and how quickly that data moves. In the year 2000, Google was receiving 32.8 million searches per day.

• Volume

• Velocity

• Value

• Variety

• Veracity

5 V's of big data, refers to the diversity of data types. An organization might obtain data from a number of different data sources. It refers to Structured, Semi-structured and Unstructured data due to different sources of data generated either by humans or by machines.

• Volume

• Velocity

• Value

• Variety

• Veracity

5 V's of big data, refers to the quality and accuracy of data. Gathered data could have missing pieces, may be inaccurate or may not be able to provide real, valuable insight.

• Volume

• Velocity

• Value

• Variety

• Veracity

5 V's of big data, refers to the value that big data can provide, and it relates directly to what organizations can do with that collected data.

• Volume

• Velocity

• Value

• Variety

• Veracity

It uses a software, computer software examples includes: Operating systems (such as Microsoft Windows, Linux, macOS) Productivity Software (for example, Microsoft Office Suite including Word, Excel, and PowerPoint) Internet Browsers (including Firefox, Chrome, and Safari), to ensure connectivity between devices/computers linked.

• cloud-computing traffic

• Internet of Things (IoT)

• mobile traffic