Big data

From Big Data to Bigger Insights…Rami Kichli, Country Manager – Kuwait, SAP MENANovember 2014

why is there such buzz around

BIG DATA?

Isn’t Big Data just big hype?

... How big is BIG?

What is it that we are really talking about?

“Big Data is the frontier of a firm's ability to store, process, and access (SPA) all the data it needs to operate effectively, make decisions, reduce

risks, and serve customers.”-- Forrester

“Big Data is the frontier of a firm's ability to store, process, and access (SPA) all the data it needs to operate effectively, make decisions, reduce

risks, and serve customers.”-- Forrester

Boring!

“Big data is data that exceeds the processing capacity of conventional

database systems. The data is too big, moves too fast, or doesn't fit the

strictures of your database architectures. To gain value from this data, you must choose an alternative

way to process it.” -- O’Reilly

“Big data is data that exceeds the processing capacity of conventional

database systems. The data is too big, moves too fast, or doesn't fit the

strictures of your database architectures. To gain value from this data, you must choose an alternative

way to process it.” -- O’Reilly

Too many

words

Big data is an all-encompassing term for any collection of data sets so large and complex

that it becomes difficult to process using traditional data processing applications.The challenges include analysis, capture,

curation, search, sharing, storage, transfer, visualization, and privacy violations. The

trend to larger data sets is due to the additional information derivable from analysis

of a single large set of related data, as compared to separate smaller sets with the

same total amount of data.-- Wikipedia

Big data is an all-encompassing term for any collection of data sets so large and complex

that it becomes difficult to process using traditional data processing applications.The challenges include analysis, capture,

curation, search, sharing, storage, transfer, visualization, and privacy violations. The

trend to larger data sets is due to the additional information derivable from analysis

of a single large set of related data, as compared to separate smaller sets with the

same total amount of data.-- Wikipedia

Snore

© 2014 SAP AG or an SAP affiliate company. All rights reserved. 12Confidential Information under NDA

Optimize resources Run business in real timeUse Big Data to your advantage

An emerging middle class

growing from 2 to 5 billion by 2030

75% of global workforce will be

Millennials

More data in last 5 years than entire

history of humankind

30 billion connected devices

by 2020

1 billion people engaged in social

networks

Rising Customer Expectations A Dramatically Changing Workforce Pressure on Resources

Network Effect/Explosion in Structured and Unstructured data

71% higher operating margin than the ones with poor employee engagement

3Xbusiness leaders believe that customer experience is the next battleground

60%increase in retail operating margin in leveraging Big Data as the new resource

50% higher sales & margins when effectively running a networked enterprise

Rethinking the future togethernew business opportunities, innovation, transformation and growth

New sources of data

14© 2014 SAP AG or an SAP affiliate company. All rights reserved.

Once, technology favored companies; now itempowers customers

Source : Forrester Research, 2014


We have entered the age of the customer



Growth and customer experience are prioritiesto business leaders


Which of the following initiatives are likely to be your organization’s top priorities over the next 12 months?


Big Data means all your Data…

What percentage of enterprise data do firms use for analytics?

Quiz

Enterprise Data

A.B.C.D.

12%34%53%76%


What percentage of enterprise data do firms use for analytics?

Quiz

Enterprise Data

A.B.C.D.

12%34%53%76%


#In-Memory

The velocity of business requires in-memory

#Streaming

Streaming data is flowing by, and value is slipping away

#imagination

Sensors in every players’ boots will change the way we analyze and watch the game.

What if you knew your customer was near yourstore on a rainy day?

What kinds of apps could

you develop if you couldpredict, detect and

adaptto what customers need

in-the-moment?

Thank you

Documents

Big data