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A successful problem defining process requires a basic analysis and evaluation of the pro ect related problems, their
reasons and methods. inding the right problem definition is usually an iterative process. It can reveal more questions
and points to consider that ould have been ignored ithout the problem definition process. he questions belo
serve as a reference point for a thorough analysis of the problem and the problems that surround it. ust spending time
ans ering the follo ing questions can save you eeks and months orking on problems that proved impossible for
previously unkno n reasons
• hat is the problem that needs to be resolved
• hy do you need a solution to your problem
• o should e ork on the solution to the problem
• hich aspects of the problem do the AI model solve
• o do I need to interact ith the solution to the problem
• hich category of data ill be involved lassification)
• o much or ho many egression)
• an the data be grouped lustering)
• Is there any unusual pattern in the data Anomaly Detection)
• hich option should be given to the customer ecommendation)
It is essential to determine hich of these questions you re asking, and in hat ay ans ering them helps solve your
problem.
Brainy Fact
Organisations need analytics to give their businesses a competitive advantage. here are five types of
business analytics. et us learn about them brie y.
Predictive (Insight)
Diagnostic (Foresight) sing the previously obtained
Descriptive (Hindsight) Analytics that focuses on data, predictive analytics
It helps in summari ing or previous performance to provides accurate predictions
of hat is going to occur.
describing past events. amples determine the cause of an event. achine learning techniques
generating financial or sales ample tudy the impact of
and statistical models are
reports. medicine on patients before and used to forecast the potential
after treatment
outcome. ample Ama on's
recommendation engine.
Cognitive (Inference)
Prescriptive (Context) It combines a number of smart
his analytics is a subset of predictive technologies, including artificial
analytics that uses data analysis to intelligence, machine learning algorithms,
suggest one or more courses of action. and deep learning models, to simulate the
ample aymo, oogle s self driving human brain and provide outcomes that
car uses prescreptive analytics are compatible ith ho people think.
amples chatbots, virtual assistants
C apstone P roj e ct

