The presentation discusses how data analytics can extract meaning from data by finding patterns and correlations across all data sources. It explains how analytics can transform various types of data into valuable information that can improve business decisions and lead to new data products. Examples are given of how analytics can build and integrate recommendation engines, prediction models, and automated classification to help outperform competitors by leveraging any available data.

1. Presentation By : Debendra
Adhikari

12.  Extract meaning from data
◦ Using and combining data in ways it has never done before
◦ Finding patterns and correlations in data from all possible sources
◦ Detecting anomalies and changes in known patterns
 Transform data of various types into valuable information
◦ As a basis for management decisions
◦ As a basis for data products
◦ That can improve your business in any way
 Build and integrate Data Products
◦ Recommendation engines, Prediction models, Automated classification, …
 The key point is spotting opportunities to outperform your
competitors using any data available!