Description

Big Data Analytics include many different ways to generate insights from data using proven statistical techniques. These analytics are typically classified as Descriptive, Predictive and Prescriptive analytics - increasing in complexity but also in value in that order. Coming up with a 'sensible' analytics approach for business is, however, more than simply the excellence in analytics. Having a business-oriented strategy towards analytics is vital to ensure that the insights generated by these analytics are of ongoing value to the business. This session focuses on the strategic approach by businesses to formulate Big Data analytics to support business decision making. Application of Big Data analytics in verticals such as Telecom, Health, Travel, Education, Agriculture and Manufacturing, amongst others, are welcome.

Topics for this session include but are not limited to:

• Descriptive, Predictive and Prescriptive analytics: compare, contrast and valuate
• Volume, Velocity, Variety and Veracity of data and its impact on big data analytics
• Business strategies around Data currency (validity of data for a given time)
• Truths and Myths surrounding the Net Promoter Score (NPS)
• Driving Customer relationship with Big Data analytics
• Personalization and Customization of services with Big Data analytics
• Crowd-sourcing of Big Data for Analytics
• Impact of Mobile on Big Data analytics
• Driving Big Data strategies based on personalized, Mobile data