Boost Your Data Career with Predictive Analytics! Learn How ?

www.edureka.co/advanced-predictive-modelling-in-r

Boost your data Career with predictive

analytics! Learn How?

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At the end of the session, you will be able to:

What is Predictive Analytics?

Why Predictive Analytics?

Predictive Analytics Rising Adoption

Predictive Analytics Lifecycle

Career Opportunities with Predictive Analytics

Understand how Companies are using Predictive Analytics?

Agenda


What is Predictive Analytics?


Predictive analytics is the analysis of data by using statistical algorithms and machine-learning techniques to identify the likelihood of future outcomes based on historical data.

Predictive Analytics


Analytics vs Predictive Analytics

Feature Comparison

Analytics Predictive Analytics

Understand the past Understand the future

Observe Trends Make Decisions

Catalyst for Discussion Take actions

Historical and Current view Future Oriented

Lagging Indicators Leading Indicators

Gaining and understand of data Gaining information and insights


Predictive Analytics Lifecycle

Source: blogs.sas.com


Advantages Predictive Analytics


Real-Life Examples

Source: www.academia.edu

Commonwealth Bank can reliably predict the likelihood of fraud activity for any given transaction before it is authorized – within 40 milliseconds of the transaction being initiated.

Lenovo detected a product issue 30 percent faster and reduce warranty costs 10 to 15 percent for previously hard-to-detect issues.

Salt River Project forecasting model helps them know the best time to sell excess electricity for the best price.

Staples analyzes online and offline consumer behavior to provide a complete picture of their customers and realized a 137% ROI.


Why Predictive Analytics?


Which Path to Follow


Application of Predictive Analytics

Visions of Risk is required



Predict the Next President of India!



Source: http://fortune.com/tag/predictive-analytics/

BMW is using Predictive Analytics to find a place to park!



Soccer Predictive Analysis

Source: blogs.sap.com


Only Analytics is not enough!

Mortals Need Ability to Predict the Future!


Predictive Analytics Rising Adoption


Forbes Says

Source: Forbes

The top objective for between two-thirds and three-quarters of executives is to develop the ability to model and predict behaviors to the point where individual decisions can be

made in real time, based on the analysis at hand


Predictive Analytics Is A Game-Changer

Source: Forbes

Best Buy determined 7% of its customers were responsible for 43% of its sales. The company then segmented its customers into several archetypes and redesigned stores

Olive Garden uses data to forecast staffing needs and food preparation requirements down to individual menu items and ingredients.

The U.K.’s Royal Shakespeare Co. theater company then developed a marketing program that increased regular attendees by more than 70% and its membership by 40%


Predictions for 2015

1. BI is dead, Predictive is the New Black - Consumers will expect their software to anticipate their needs, driving requirements for predictive capabilities in all apps.

2. New Use Cases for Predictive Analytics Fuel Change in Key Industries - Established Business Intelligence (BI) developers will add predictive analytics to their existing offerings

3. The Shortage of Data Scientists is not over - The demand for data scientists will continue to grow beyond supply

4. Data Science Tools Become a Commodity - The tools vendors left standing will be the ones who properly equipped their customers to solve major business problems leveraging predictive analytics.

Source: www.predixionsoftware.com


Predictive Analytics Career Opportunities


Job Trends


Major Companies Using Predictive Analytics


How Predictive is being used in the Industry?


General Business Goals

Source: www.academia.edu


The Big Question!

Boost your career with Predictive Analytics! Learn How?


The Big Question!

Boost your career with Predictive Analytics! Learn How?

Answer – Predictive Analytics is the Game-Changer

Reasons:

1. Analysis on Past Data is no more Enough2. Future Prediction is the need of the hour3. Organization are adopting Predictive Analytics and benefiting from it4. Shortage of Data Scientist still exists

Questions

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Boost Your Data Career with Predictive Analytics! Learn How ?