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Analytics

Analytics

The 8 Key Capabilities – Which 1 of the 8 Key Capabilities is most important to you and why?

Analytics is the most important of the eight key capabilities. Analytics is a diverse term that refers to the use of statistical computing techniques and data mining to reveal insights and trends from data; data analytics has gained so much attention in the recent past due to increasing volumes of data generated by organizations.

Descriptive analytics uses data mining and analysis tools on historical data to produce information about what has happened; this provides an organization with a proper understanding of how it can approach a similar situation in the future. It enables an organization to establish reasons for past success and drawbacks.

Diagnostic analytics is beneficial to a business if it needs to know the reason why a certain scenario is happening and the particular cause of that action. A business intelligence dashboard can be used to achieve this level of analytics since it has tools that can analyze deep and hidden trends. A marketing dashboard can establish the reason for low sales volumes in a certain quarter. (Soulpage IT solutions, 2020)

Predictive analytics can be leveraged to provide a forecast of what the future might look like for a business or any organization. Sophisticated statistical models are efficient in creating a recommendation model for customers by analyzing their past data trends.

Prescriptive analytics uses powerful tools like machine learning to produce all the possible outcomes to be expected by an organization; from this, they can better choose actions that maximize their productivity and avoid those that are unsuitable.

Cognitive analytics is the most superior branch of data analytics. It utilizes Artificial intelligence to produce outcomes that nearly match human-level thinking. Robots are used in complex and often dangerous environments for humans; therefore, an organization is never at risk of losing its workforce. Chatbots are cost-efficient because they can do repetitive tasks through automation, which could otherwise be expensive when using human labor.

References

Soulpage IT Solutions. (2020). 5 Types of Data Analytics And Their Prominence. Retrieved 6 May 2021, from https://soulpageit.com/5-types-of-data-analytics-and-their-prominence/ 

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Question 


Analytics: Market Guide for Intelligent Business Process Management Suites

Read This Article and Focus On 1 of These 4 Categories:

Analytics

Analytics

  • a) The 8 Key Capabilities
  • b) The 3 Key Vendor Trends
  • c) The 3 Key Buyer Factors
  • d) The 4 Common Use Cases of iBPMS

After you select 1 of these 4 Categories, Discuss Which Is The Most Important Factor To You And Why?

For Example, there are 3 Key Buyer Factors. Which 1 of the 3 Key Buyer Factors is most important to you and why?
Or
The 4 Common Use Cases of iBPMS: Of The 4 Common Use Cases – Which 1 of the 4 Common Use Cases is most important to you and why?
Or
The 8 Key Capabilities – Which 1 of the 8 Key Capabilities is most important to you and why?
Or
The 3 Key Vendor Trends – Which 1 of the 3 Key Vendor Trends Do You Think Is Most Important and Why?

Article: