« Back Why Predictive SAS Training Analytics Matters?


By vikas  |  SAS Programming  |  On 6/6/2018 9:29:28 PM

SAS training students are aware that predictive analytics forms one of the key topics in the course. With predictive analysis better decision making can be arrived at. Many industry verticals use predictive analysis for insightful strategy design. Here are 3 quick examples

 1 – Aerospace

Predictive analytics taught during SAS training In Mumbai helps the executive to monitor aircraft health. It brings down maintenance costs and boosts aircraft up-time.

 2 – Financial services

SAS training students are taken through examples of financial services by way of creating credit risk models.

 3 – Healthcare

With pattern detection algorithms, SAS training In Pune students can spot asthma and COPD via instant feedback through smartphone app

 Why it matters?

1 – Get a competitive advantage

With the huge demand for bringing out products in a crowded market, predictive analysis can help you craft a difference. Data drive predictive analysis implemented by SAS training students enables predictive maintenance, bring down chances of failure, forecast energy needs, and bring down operational costs.

 A classic example is the presence of sensors in cars. They monitor a car part’s health and send out warning signs to carry out proactive maintenance. This is a far better scenario than being reactive after the car fails on the road.

 2 – Handle Big Data better

Students of SAS classroom training in Mumbai learn that Big Data and predictive analysis go hand in hand. A fine instance is engineering data that collates data from diverse sources like sensors, actuators, instruments, and connected systems.

 Another example is the use of business data that comprises of sales figures, transaction data, and customer feedback. Businesses are increasingly employing predictive analysis on Big Data to gain invaluable insights.

 3 – Enhance data extraction

To obtain immense business value from big data, SAS training Mumbai students employ predictive analysis. With this they employ tools like Spark and Hadoop and carry out accurate forecasting on various KRAs that define the growth and sustainability of a business.

 As an outcome, many businesses effectively acknowledge the immense insight generation prowess of predictive analysis in determining the fortunes of a business.

 These points show how important predictive analysis taught during SAS training Pune it not only boosts efficiencies, but also cuts down on cost overheads. Be it sales, marketing, operations, finance, HR, or management strategy, the technique is employed by many to cut down the risks and improve the efficiency of decision making. This way, predictive analysis emerges as a significant business differentiator.