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> :: Big Data & Analystics ::, How likelihood an Org. adopting Big Data Chat

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TSh2oboy
post Nov 21 2017, 11:23 AM, updated 7y ago

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Big Data uncover hidden patterns, unknown correlations, insights, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Why is big data analytics important?
1. Cost reduction.
2. Faster, better decision making.
3. With big data analytics, more companies are creating new products to meet customers’ needs.

How likelihood and acceptance level for organization in Malaysia to implement Big Data?
skitch
post Nov 21 2017, 11:25 AM

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A lot of local companies already use big dat analytics

This has been going on for few years already
zororo
post Nov 21 2017, 11:25 AM

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ironmade88 bro u still doing analytics? I lupa dah sql...teary
kaiserreich
post Nov 21 2017, 11:32 AM

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QUOTE(h2oboy @ Nov 21 2017, 11:23 AM)
Big Data uncover hidden patterns, unknown correlations, insights, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Why is big data analytics important?
1. Cost reduction.
2. Faster, better decision making.
3. With big data analytics, more companies are creating new products to meet customers’ needs.

How likelihood and acceptance level for organization in Malaysia to implement Big Data?
*
Banks using big data to see whether you will take their personal loans and insurance
mynameisdyts
post Nov 21 2017, 11:32 AM

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Companies in Malaysia are pretty ON about IoT i would say and actively exploring solutions that can put them into the IoT front.
Pain4UrsinZ
post Nov 21 2017, 11:39 AM

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i still using excel to do analytics.
Castreal
post Nov 21 2017, 11:43 AM

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Professionally, I'm in the Analytics line, and have started looking into predictive analysis.

But to be truly honest, I see the bad side of Big data in terms of security and ethics as per the except from below:

» Click to show Spoiler - click again to hide... «


While there are definitely a lot of benefits on Big data being used by companies, there are downsides to it.

Just take a look at the Sayakenahack incident, and you will know the acceptance level of such technologies in our country.
dagnarus
post Nov 21 2017, 11:45 AM

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Been used even before it was rnamed to big data.

It's just statistics. Nothing much
lifeofkuli
post Nov 21 2017, 11:47 AM

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QUOTE(skitch @ Nov 21 2017, 11:25 AM)
A lot of local companies already use big dat analytics

This has been going on for few years already
*
data scientist earn handsome money yo.......

my bro freshgrad 7k

while studying degree already work as contract for tm 4k /month

This post has been edited by lifeofkuli: Nov 21 2017, 11:48 AM
cckkpr
post Nov 21 2017, 11:49 AM

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QUOTE(h2oboy @ Nov 21 2017, 11:23 AM)
Big Data uncover hidden patterns, unknown correlations, insights, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Why is big data analytics important?
1. Cost reduction.
2. Faster, better decision making.
3. With big data analytics, more companies are creating new products to meet customers’ needs.

How likelihood and acceptance level for organization in Malaysia to implement Big Data?
*
This is all about Industry 4.0 and those slow to embrace will lose out. Better buck up and dont wait for the last train.

PhakFuhZai
post Nov 21 2017, 11:57 AM

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QUOTE(lifeofkuli @ Nov 21 2017, 11:47 AM)
data scientist earn handsome money yo.......

my bro freshgrad 7k

while studying degree already work as contract for tm 4k /month
*
which uni offer a course solely/major on data science/analytics?
lifeofkuli
post Nov 21 2017, 11:58 AM

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QUOTE(PhakFuhZai @ Nov 21 2017, 11:57 AM)
which uni offer a course solely/major on data science/analytics?
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it's one of the module in the major I guess, as my bro taking software in mmu
lifeofkuli
post Nov 21 2017, 12:00 PM

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QUOTE(h2oboy @ Nov 21 2017, 11:23 AM)
Big Data uncover hidden patterns, unknown correlations, insights, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions.

Why is big data analytics important?
1. Cost reduction.
2. Faster, better decision making.
3. With big data analytics, more companies are creating new products to meet customers’ needs.

How likelihood and acceptance level for organization in Malaysia to implement Big Data?
*
tesco, giant, daikin... and many already using it......

I got an opportunity work with tesco china and malaysia last time, and GIS with big data with few GIS company too

quite cool I must say!
Bonchi
post Nov 21 2017, 12:02 PM

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QUOTE(PhakFuhZai @ Nov 21 2017, 11:57 AM)
which uni offer a course solely/major on data science/analytics?
*
no specific major but side courses.. anyone can be one if you damn strong with SQL and at doing statistical calculations.

PhakFuhZai
post Nov 21 2017, 12:10 PM

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QUOTE(lifeofkuli @ Nov 21 2017, 11:58 AM)
it's one of the module in the major I guess, as my bro taking software in mmu
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things change too fast ady
last time MMU got minor in AI i think, never heard about the term data science back in 2000s


QUOTE(Bonchi @ Nov 21 2017, 12:02 PM)
no specific major but side courses.. anyone can be one if you damn strong with SQL and at doing statistical calculations.
*
even in data science there are few more different roles

data analytics
data scientist
data engineers

each of them dealing different aspects of the chunk of data


Quantum Geist
post Nov 21 2017, 12:10 PM

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While big data can uncover hidden trends, not every business / company needs it, either that or they can't justify the cost vs the return.

That said, most data analyst I know has a strong grip on maths and i.t , definitely a new niche that still has opportunities in Malaysia.
TSh2oboy
post Nov 21 2017, 12:14 PM

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QUOTE(dagnarus @ Nov 21 2017, 11:45 AM)
Been used even before it was rnamed to big data.

It's just statistics. Nothing much
*
Big data does require the use of a very different technology stack than used previously with statistical analysis (we have statistics for centuries). So a statistician from 20 years ago, would not be equipped to deal with doing analysis on huge data sets on a time-scale that’s often required by today’s business applications.

lifeofkuli
post Nov 21 2017, 12:16 PM

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QUOTE(PhakFuhZai @ Nov 21 2017, 12:10 PM)
things change too fast ady
last time MMU got minor in AI i think, never heard about the term data science back in 2000s
even in data science there are few more different roles

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yeah.... but good la.... more opportunity than local u

u be the 1st batch u untung lor
upcars
post Nov 21 2017, 12:16 PM

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diff industry diff resource diff objectives.

my company is not on big data. more on AI and robotics.
OldSchoolJoke
post Nov 21 2017, 12:19 PM

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my company not doing big data but collecting statistics...
client wanna see user market usage.

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