2. ! Big data refers to datasets whose size is beyond the ability of
typical database software tools to capture, store, manage, and
analyze.
! This definition is intentionally subjective and incorporates a
moving definition of how big a dataset needs to be in order to be
considered big data. Big data is not define in terms of being
larger than a certain number of terabytes (thousands of
gigabytes). Technology advances over time, the size of datasets
that qualify as big data will also increase.
! Also note that the definition can vary by sector, depending on
what kinds of software tools are commonly available and what
sizes of datasets are common in a particular industry.With those
caveats, big data in many sectors today will range from a few
dozen terabytes to multiple petabytes (thousands of terabytes).
BIG DATA
4. ! Volume: Data growing in all type. Turn 12 terabytes of Tweets
created each day into improved product sentiment analysisConvert
350 billion annual meter readings to better predict power
consumption
! Velocity: big data must be used as it streams into your enterprise in
order to maximize its value. Scrutinize 5 million trade events created
each day to identify potential fraud analyze 500 million daily call
detail records in real-time to predict customer churn faster
! Variety: Big data is any type of data - structured and unstructured
data such as text, sensor data, audio, video, click streams, log files
and more. New insights are found when analyzing these data types
together. Data growth in images, video and documents to improve
customer satisfaction
! Veracity: 1 in 3 business leaders don’t trust the information they use
to make decisions. How can you act upon information if you don’t
trust it? Establishing trust in big data presents a huge challenge as
the variety and number of sources grows.
BIG DATA DIMENSION
5. ! Log Data
! Event
! Email
! Social media
! Transaction
! Image/video
! Audio
! Geospatial
! Event
! Etc.
BIG DATA SOURCE
7. ! Indonesian population : around 237,5
millions (2010)
! Based on ITU Report, Indonesian celullar
subsribers in 2014 around 303 millions
users
! Internet users in Indonesia around 82
millions
! Facebook active users until June 2014: 69
milions
! More than 7,8 millions Kaskus (Indonesian
local social network) member
STATISTIC (1)
9. ! Average rate internet connection in Q2-2014 is 3,7
Mbps (#77) with the peak speed 25,8 Mbps (#64)
(Source: Akamai, Q3-2014)
! 83 % internet user connected to the social media
! There are 520 thousands SME, 117 SOE, 4900
schools, 3.000 University and more than one
thousand hospital
! E-identity (E-KTP) data record in November 2013:
175.614.383.
STATISTIC (3)
11. ! Big Data in Indonesia not only in 4
dimensions, but 5:
! Volume
! Velocity
! Variety
! Veracity
! Victory
! Volume dimension still on the top,
and followed by victory and
velocity. Victory dimension appear
because who can turning big data
to useful information can win the
business.
BIG DATA DIMENSION
12. Big Data Usage, by
Industry:
! Government
! Political Party
! Telecommunication
! Advertising
! Financial Services
! Retail
! Energy and Utilities
BIG DATA ADOPTION
13. ! Big data open to new paradigm
! Big data, Big opportunities
! Indonesia already adopt big data and turning
big data into useful information for many
industries
! In Indonesia if we talk about big data not only
for 4 dimension (volume, velocity, variety and
veracity), but also VICTORY, who can maximize
the benefits of big data analysis, then they will
win in the information exposure era.
CONCLUSION