Question
Which of the following is the most critical factor for
implementing predictive analytics in the finance industry for risk modeling?Solution
In the finance industry, predictive analytics thrives on real-time transactional data because it allows for timely and accurate risk assessments. For instance, detecting anomalies in real-time credit card transactions can prevent fraud or mitigate financial loss. Risk modeling depends on continuously updated data, enabling financial institutions to adjust predictions and make decisions proactively. Unlike static data, real-time data captures evolving trends, ensuring models reflect the latest customer behaviors and market conditions. This agility is particularly vital in risk-sensitive domains like finance, where timely action can prevent severe consequences. Why Other Options Are Incorrect: • B: Intuitive dashboards aid in communication but don’t directly contribute to predictive analytics. • C: Static data limits the ability to adapt to real-time changes. • D: Weather data is rarely relevant to financial risk modeling. • E: Visual reports are supplementary to quantitative models, not a replacement.
First crops that were cultivated on earth were:
Which of the following is best suited as catch crop?Â
………………… is the process of shedding of ova from the Graafian follicle.
The fertilizer that is mostly used in India contains 46 % N which is granular or in pellet form . Name the fertilizer.
Which one of the following stage present in meiotic cell division but not in mitotic cell Division?
The acidic soils can be reclaimed by the application of ____
The process of removal of undesirable or non-productive animals from herd is called……………………
ICAR has classified soil into
Among the cationic and anionic form of Nitogen, which form of Nitrogen is most preferred for plant uptake.
First variety of mustard developed by somatic hybridization