Presented By O'Reilly and Cloudera
Make Data Work
December 1–3, 2015 • Singapore

Data-driven Business conference sessions

Tuesday, December 1

1:30pm–5:00pm Tuesday, 12/01/2015
Location: 331
Edd Wilder-James (Google), John Akred (Silicon Valley Data Science)
Average rating: ***..
(3.61, 23 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the opportunity with the sea of possible technologies? Conventional data strategy has little to guide us, focusing more on governance than on creating new value. In this tutorial, we explain how to create a modern data strategy that powers data-driven business. Read more.

Wednesday, December 2

11:00am–11:40am Wednesday, 12/02/2015
Location: 331 Level: Non-technical
Tushar Shanbhag (Adatao, Inc)
Average rating: ***..
(3.71, 7 ratings)
All analytics is prescriptive analytics; it just depends on who's writing the prescription, human or machine. In this talk, I will present how to humanize the big data experience, promote collaboration between business users and data scientists, and bridge the gap between human and machine. Read more.
11:50am–12:30pm Wednesday, 12/02/2015
Location: 331 Level: Non-technical
Edd Wilder-James (Google)
Average rating: ***..
(3.57, 7 ratings)
Big data and data science have great potential for accelerating business, but how do you reconcile the opportunity with the sea of possible technologies? Conventional data strategy has little to guide us, focusing more on governance than on creating new value. In this talk, we explain the how to create a modern data strategy that powers data-driven business. Read more.
1:30pm–2:10pm Wednesday, 12/02/2015
Location: 331 Level: Intermediate
Tags: featured
Shirshanka Das (LinkedIn)
Average rating: ****.
(4.43, 21 ratings)
LinkedIn describes how they’ve built a self-serve petabyte-scale reporting platform centered around Hadoop, that powers all business decision making at LinkedIn. We describe how we overcame challenges to scale to over a thousand analysts, over a thousand metrics, and provide daily, hourly, as well as real-time reports. This has reduced turnaround times for dashboards from weeks to a few hours. Read more.
2:20pm–3:00pm Wednesday, 12/02/2015
Location: 331 Level: Non-technical
Hallie Benjamin (Accenture)
Average rating: ***..
(3.20, 5 ratings)
As the lead for the Accenture-UC Berkeley Data & Analytics Partnership, Hallie has worked with a multidisciplinary team of professors, data scientists, and students to design the Applied Learning Course in Data Science. She will talk about her experience and lessons learned for bringing together technical and business minds to help data science feature more prominently in business strategy. Read more.
4:00pm–4:40pm Wednesday, 12/02/2015
Location: 331 Level: Non-technical
Pauline Brown (Dataiku)
Average rating: ****.
(4.00, 3 ratings)
Getting from raw data to deploying data-driven solutions requires technology, data, and people. All of which exist. So why aren’t we seeing more truly data-driven companies: what's missing and why? Find out how lack of collaboration is what is keeping companies from imagining and actually doing what is possible to accomplish with big data. Read more.
4:50pm–5:30pm Wednesday, 12/02/2015
Location: 331 Level: Non-technical
Hong Eng Koh (Oracle), Vladimir Videnovic (Oracle)
Average rating: **...
(2.67, 3 ratings)
Public safety and national security are increasingly being challenged by technology; the need to use data to detect and investigate criminal activities has increased dramatically. But with the sheer volume of data and noise, law enforcement organisations are struggling to keep up. This session will examine trends and use cases on how big data can be utilised to make the world a safer place. Read more.

Thursday, December 3

11:00am–11:40am Thursday, 12/03/2015
Location: 331 Level: Non-technical
Oliver Chen (DataKind Singapore)
Average rating: **...
(2.67, 3 ratings)
Private sector companies are becoming more data-driven, but what does it take to help the social sector become data-driven? DataKind is a global nonprofit that harnesses the power of data science in the service of humanity. Learn about two DataKind Singapore projects that brought together data science volunteers and nonprofit organizations to move the needle in the fight against climate change. Read more.
11:50am–12:30pm Thursday, 12/03/2015
Location: 331 Level: Non-technical
Ken Medlock (ANZ Banking Group)
Average rating: ****.
(4.00, 9 ratings)
ANZ has adopted an innovative approach to drive continuous business and identification of business value opportunities using disruptive and new big data technologies. Read more.
1:30pm–2:10pm Thursday, 12/03/2015
Location: 331 Level: Non-technical
Average rating: ****.
(4.07, 14 ratings)
Using data science to make better corporate, financial, and strategic decisions. Read more.
2:20pm–3:00pm Thursday, 12/03/2015
Location: 331 Level: Non-technical
Tags: featured
Selene Chew (Adatao)
Average rating: ****.
(4.11, 9 ratings)
In "The Power of Myth," Joseph Campbell distilled the modern story form as "A Hero's Journey." This talk presents the relevance of the story form in data analysis, and shows examples of how to tell insightful data stories. Read more.
4:50pm–5:30pm Thursday, 12/03/2015
Location: 331 Level: Intermediate
Rakesh Menon (McLaren Applied Technology)
Average rating: ****.
(4.00, 5 ratings)
High performance design requires the ability to optimally measure a system, understand its working, predict its performance, and continuously refine it. Central to this process is leveraging the data in an intelligent way. This talk explains how this can be achieved. Read more.