Big App Challenge 1.0

Final Report(MDEC & Tentspark)

Tang Siak Kwan & Patrick Yong

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

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

Summary1) The Big App Challenge had a very good response from teams as well as companies with registration

totaling 2252) 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

BAC Press Coverage

http://www.thestar.com.my/Tech/Tech-News/2014/09/23/Big-App-challenge/

http://www.digitalnewsasia.com/digital-economy/mdec-tentspark-kick-off-big-data-analytics-open-data-app-challenge

http://www.kkmm.gov.my/index.php?option=com_content&view=article&id=7891:2014-09-24-02-00-32&catid=233&Itemid=541&lang=en

http://www.computerworld.com.my/resource/applications/malaysian-developers-challenged-to-produce-big-data-apps/

http://www.theborneopost.com/2014/12/05/mobile-app-to-inform-public-of-dengue-outbreaks-developed/

http://www.thestar.com.my/News/Nation/2014/12/06/Dengue-Mobile-App/

Ideation Workshop

Event information

Ideation workshop (1)

Venue : TM Convention Centre

Date : 13-15th Oct 2014

Attendance : 30 pax (45 registration)

SummaryThe 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 on2) Provide a forum for discussion and sharing of ideas3) Foster a community of like minded people

Ideation Workshop (2)

Venue : Exabytes

Date : 18-19th Oct

Attendance : 64 pax (96 registration)

Good Learnings1. 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 Improvement1. 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

Feedback from the Attendees

• 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?

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 reminder3) Same format and simple

Big App Challenge FinalsSummary1) 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 AMOpening 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

Big App Challenge Finals

Big App Challenge Finals

Judging Criteria

• Dataset (10%)

• Originality (10%)

• Functionality (10%)

• Benefit (20%)

• Stability (20%)

• Visualization (30%)

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.

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.

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.

Big Data ConferenceHarnessing Insights From Open Data with Big Data Analytics

Event SummaryWell attended by 150 paxDate : 15th Dec 2014Venue : Le Meridien HotelWe had a exhibition area with 4 finalist and 3 winners showcasing their Big App solutionsOverall 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

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 GiorgioMigliarina

Dr. DzaharudinMansor

Mr Szilard Barany

Speakers Rating

Content Effectiveness

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 – CurrentMet our objective to promote awareness - Knowledge about Big Data Analytics significantly increase

Yes32%

No68%

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 Considering25%

Blank answer13%

Already15%

When does your company plan to implement Big Data

Considering Not Considering Blank answer Already

Big Data Conference – Future

Yes39%

No29%

Not a decision Maker13%

Blank19%

Does your company plan to engage Big Data experts

Yes No Not a decision Maker Blank

1. 60% companies have Big Data needs2. Only 39% companies plan to engage experts in Big

Data

Insights1. Some companies may plan to build in-house expertise.

Cross training courses would be useful2. Companies may not value the experts. Programs (eg:

professional certifications) to elevate and increase positive perception of value of expert.

Yes60%

No24%

Blank16%

DOES YOUR COMPANY HAVE NEEDS ON BIG DATA

Thank You To Partners/Sponsors

Memories of the Workshop

Ideation Workshop (1) @ TM Convention Centre

Ideation Workshop (2)@ Exabytes