1) The Big App Challenge saw strong registration and participation numbers, totaling 225 registrations by the deadline.
2) The challenge included an ideation phase with workshops to help generate ideas, a 4-week development period, and finals presentation where winners were announced.
3) The top three winning teams developed apps around dengue outbreak prediction and water management, using techniques like predictive modeling, visualization, and open data.
Multiple time frame trading analysis -brianshannon.pdf
Big App Challenge 1.0 Final Report and Big Data Conference Highlights
1. Big App Challenge 1.0
Final Report
(MDEC & Tentspark)
Tang Siak Kwan & Patrick Yong
2. 12
Sept
• Website and invitation
• Registration starts
23
Sept
• eDM & Community announcement
29
Sept
• Launch of Big Apps Challenge 1.0
• Press release
13-19
Oct
• Ideation workshop
20
Oct –
20
Nov
• Big Apps Development (4 weeks)
20-21
Nov
• Submission of Big Apps
27
Nov
• Finals Presentation
15
Dec
• Award Event
3. BAC Participants Analytics
34
73
104
127
178
225
15-SEP 21-SEP 27-SEP 3-OCT 9-OCT 15-OCT 21-OCT
BAC Registration Count
71
154
Breakdown of Registration
Corporation Team
Summary
1) The Big App Challenge had a very good response from teams as well as companies with registration
totaling 225
2) The challenge encouraged a lot of people to form teams (68% of registrations)
3) Response from the email blast and press coverage helped drive the attendance
Press
Release
Email to MSC Companies
Eventbrite – ideation 1
Eventbrite – ideation 2
5. Ideation Workshop
Event information
Ideation workshop (1)
Venue : TM Convention Centre
Date : 13-15th Oct 2014
Attendance : 30 pax (45 registration)
Summary
The ideation workshop is planned to help teams and companies prepare for the big app challenge. We had a
great turnout (94 pax) that’s beyond our target of 70. The attendees were very interactive. Presenters from
Tentspark, IBM and Teradata. Venue was conducive and the only major drawback on the internet bandwidth.
The ideation workshops objectives :
1) Provide basic knowledge on Big Data Analytics and the platforms that teams can develop on
2) Provide a forum for discussion and sharing of ideas
3) Foster a community of like minded people
Ideation Workshop (2)
Venue : Exabytes
Date : 18-19th Oct
Attendance : 64 pax (96 registration)
6. Good Learnings
1. Weekend workshop had good turnout
2. 2 days workshop is optimal
3. Having speakers from partners gave more variety
4. A lot of people are interested in Big Data and the challenge
5. Venues were good. TM had a LRT station nearby and parking rates at Exabytes were reasonable.
Future Improvement
1. Have more time for brainstorming ideas. Could invite some experts to lead the session.
2. 33%+ drop out rate of registrant. May consider charging a small fee
3. Need a minimum of 100Mb dedicated bandwidth to run hands-on lab or we need to build VMs
Ideation Workshop Report
10. • As a software company, as well as a local startup, it gives us a chance to understand the importance of big
data analytics, the technology available and how we play our role in this area.
• Knowledge gained
• I admire the trainers are very knowledgeable and very helpful through out the training. They gave their best
for us and ensure us left no questions behind when we step out the door. Thing that really needs to be
improve are: 1. There are no power plugs at the middle room. 2. And, The most important, the WIFI
connections are very very very limited. We wasted a lot of time on it to get what we want. Anyway, I am glad
to attend this event.
• live demo
• FREE FOODDDDD
• TeraData guy presentation. and VM
• Appreciate Patrick for his patience and also passion to share his experience and knowledge. Not to mention
Exabytes for the splendid venue and food preparation. Thanks again. ^^
• the event successfully to deliver the big data idea to me, and with the presentation of vendor giving, let know
more what the industry is happening.
• Learn new knowledge
• technical sharing session about Hadoop, R and few other tools in Big Data
What did you like about the event?
11. BAC Development (Email)
Issue Date Description Qty Open
%
Click
thru %
1 22 Oct Update on dataset & judging criteria 226 54.9 13.8
2 4 Nov Update tech resources & submission 225 55.4 3.1
3 19 Nov Final Reminder 225 54.9 3.6
Summary :
1) BAC emails during development was well
received :
- Open rate above 54% vs 12%
- Click thru 3.1-13.8% vs 2%
2) Content : useful information and reminder
3) Same format and simple
12. Big App Challenge Finals
Summary
1) In general, the finals was done well. Venue was good.
2) The judges were objective and judged well
3) Managing timing of teams at times was difficult but managed well
Date : 27th Nov 2015
Venue : Bunga Raya Auditorium
Time : 8.30am – 2.00pm
Winners :
1) MMU – Teradata Team
2) APU Team
3) PetaInsights
Judges : 6 persons from government agencies and industry
Learnings :
1) Many teams didn’t have time to demo their solution. Besides giving
them a guideline, we could arrange for the teams for in-person briefing.
Time Agenda
8.30 AM - 9.15 AM Breakfast and Pre-judging briefing.
9.15 AM - 9.30 AM
Opening Remarks by Ir. Dr. Karl Ng
Director, Innovation Capital, MDeC
9.30 AM – 11.00 AM
Presentation by first 5 companies
Order of Presentation:
1. Kok Boon (Outbreak Analytics)
2. Goh Qing Yi, Craig Morrison (Denggue Index Web)
3. Right Link Solution (Big App Demo on mobile and web)
4. Wendy Tan Wei Syn (Dengue Analytics)
5. Chong Li Ken (Consolidated Information System For Case of
Dengue)
11.00 AM – 11.15 AM Break
11.15 AM – 1.00 PM
Presentation by second 5 companies
Order of Presentation:
1. Hema Latha Krishna Nair, Ian Coushanga (DAM-IT apps)
2. Foong Chee Mun (Dengue iPortal)
3. Muhamad Abdul Hay bin Sulaiman (Dengue Early Warning
System)
4. Tan Kean Seng (PetaInsights)
5. HeiTech E*Business Solution Sdn Bhd (Big App Challenge 1.0)
1.00 PM Networking Lunch
2.00 PM Judging Result Announcement
16. Second Runner Up – Peta Insights
PetaInsights takes on the challenge to discover cosmical hidden
patterns and knowledge from human traveling profile. By constantly
taking in latest human location information, PetaInsights is
continuously improving and evolving itself in order to sketch the most
accurate human mobility profile under diverse future environmental
conditions on the map for visualization. With such insights before one’s
eyes, it allows everyone to better prepare themselves for the upcoming
situation. This will bring tremendous benefits like time saving,
maximizing profits and reducing the inconvenience to the daily life of
the society. Besides that, PetaInsights is also equipped with an incident
simulator, which was built using the past historical human mobility
pattern during the period of natural disaster.
17. First Runner Up – Asia Pacific University
Water is the source of life, yet having it in both extremes will result in
disaster and death.
As Malaysia is located on the equator, it is blessed with a tropical climate and
an average rainfall of 2000mm - 4000mm annually. However, with great
water comes great responsibly, and water management to maintain it at an
optimum level is a challenge.
Therefore, an analysis was done in order to produce reports of rainfall
amount from weather stations, water levels in dams, relationships between
the rainfall and water levels in the dams were generated, and the amounts
needed by as well as given to the population supported by each dam.
18. Champion – MMU Teradata
The team developed two application, one a web based application (WAMP,
BootStrap and JQuery) which featured statistical description of the dengue
outbreak, a Twitter panel, and retrieval of the Dengue Index , an index showing the
likelihood of a Dengue Outbreak in a given area.
A decision tree is also available to help decision-makers decide on the likelihood of
an outbreak given certain parameters. A second application was developed using
C#. This desktop application features dynamic geo-locations of dengues cases, and
provided the likelihood of a Dengue outbreak in a certain locale using a Bayesian
Network engine. The Bayesian Network model is able to predict up to 85% accuracy
of the likelihood of a Dengue Outbreak up to a month of the last available data. The
result of the model was validated using the latest published data on Dengue cases
and it showed high correlation. The team consisted of researchers and
students from MMU, data scientists from Teradata, and a medical doctor from
Ministry of Health Malaysia.
19. Big Data Conference
Harnessing Insights From Open Data with Big Data Analytics
Event Summary
Well attended by 150 pax
Date : 15th Dec 2014
Venue : Le Meridien Hotel
We had a exhibition area with 4 finalist and 3 winners showcasing
their Big App solutions
Overall satisfaction – 98% satisfied -> very satisfied
Time Agenda
8:30am Registration
9:30am Opening Remarks by Multimedia Development Coorporation (MDeC)
Dato’ Yasmin Mahmood, CEO, MDeC
9:40am Prize Presentation to the Winners of National Big App Challenge 2014
10:00am Open Data Business Models – “UK Experience”
Ms. Liz Carolan, International Development Manager,
Open Data Institute, United Kingdom
10:30am Emcee will be inviting Dato’ Yasmin to a booth walkabouts at the exhibition area.
10:45am Break and Networking
11:05am How Big Data Plays a Part in TM Innovation Ecosystem
Mr. Giorgio Migliarina,
Chief Technology and Innovation Officer, Telekom Malaysia
11:35am Open Data – Privacy Challenges and Trends
Dr. Dzaharudin Mansor,
National Technology Officer, Microsoft Malaysia
12:05noon Knowledge is Power – The importance of big data integration and analytics in the
Logical Data Warehouse
Mr. Szilard Barany,
Principal Technology Consultant, Teradata
12:35pm Lunch and Networking Session
0% 1% 0% 1%
3%
13%
52%
26%
3%
0%
10%
20%
30%
40%
50%
60%
Overall Satisfaction
20. Big Data Conference
General
1. 79% evaluations gathered – 119 forms
2. 60% Small to Mid size (<500) companies
3. 28% are decision makers
4. 6% are data scientist
5. Content prepared are relevant to the audiences
12%
6%
24%
16%
12%
30%
Role in company
CxO Data Scientist IT Infra Project Manager Developer Business analyst
-
10.00
20.00
30.00
40.00
50.00
1 - 99 100-499 Above 500 Blank
Company Size
Company Size
6.20
6.40
6.60
6.80
7.00
7.20
7.40
Liz Carolan Mr Giorgio
Migliarina
Dr. Dzaharudin
Mansor
Mr Szilard Barany
Speakers Rating
Content Effectiveness
21. 0%
5%
10%
15%
20%
25%
30%
35%
40%
Don’t know 2 3 4 5 6 7 8 Expert
Gain Knowledge From Big Data Conference
Before event After event
Big Data Conference – Current
Met our objective to promote awareness - Knowledge
about Big Data Analytics significantly increase
Yes
32%
No
68%
DOES YOUR COMPANY DEVELOP BIG DATA
SOLUTIONS
Below 5 5 and above
Before 42% 58%
After 6% 94%
• 15% companies have develop big data solutions
• 17% companies are starting
• Another 30% are considering
Considering
47%
Not Considering
25%
Blank answer
13%
Already
15%
When does your company plan to implement Big Data
Considering Not Considering Blank answer Already
22. Big Data Conference – Future
Yes
39%
No
29%
Not a decision Maker
13%
Blank
19%
Does your company plan to engage Big Data
experts
Yes No Not a decision Maker Blank
1. 60% companies have Big Data needs
2. Only 39% companies plan to engage experts in Big
Data
Insights
1. Some companies may plan to build in-house expertise.
Cross training courses would be useful
2. Companies may not value the experts. Programs (eg:
professional certifications) to elevate and increase
positive perception of value of expert.
Yes
60%
No
24%
Blank
16%
DOES YOUR COMPANY HAVE NEEDS ON BIG DATA