Nowadays, data is pouring into organisations from almost every angle imaginable. Small and Medium sized Enterprises can easily collect terabytes of data per day, startups can effortlessly reach gigabytes of data per day and online organisations can even generate petabytes of data per day without any problem. However, simply having massive amounts of data is not enough to become an information-centric organisation and to stand apart and stay ahead of the competition.

1. WHAT ARE THE KEY CHARACTERISTICS OF
COMPANIES WHO SUCCESSFULLY
IMPLEMENTED A BIG DATA STRATEGY?

2. INTRODUCTION
 Nowadays Small and Medium sized
Enterprises can easily collect terabytes of data
per day
 Online organisations can even generate
petabytes of data per day without any problem.

3. INFORMATION CENTRIC CULTURE

4. • Companies with a successful Big Data strategy have
an information-centric culture where all employees
are fully aware of the possibilities of well-analysed and
visualized information.
A good example is US Xpress, where all truckers
have all information needed at their fingertips
via iPads while on the road.

5. A DRIVER FOR
INNOVATION AND
STAY AHEAD OF THE
PACK

6. • Big data allows organisations to stay ahead of the
competition and to constantly re-invent themself.
• They are innovators and early adopters concerning
new technologies
• Their drive for innovation caused them to
implement a Big Data strategy already some time ago.

7. CENTRALIZED DATA STORAGE FRENZY

8. • Big data is all about massive amounts of data, millions
of gigabytes per day or even more.
• A strong characteristic of Big Data organisations is
that they collect data of absolutely everything: social
media data, log data, sensory data. So, store now and
decide later if you need it.
• You can always decide to leave out data in your
analysis but you cannot analyse data you don’t have.

9. DATA-DRIVEN PRODUCTS

10. • In order to collect data, ensure that all products that
you offer are able to collect data.
• For online products it is easy to obtain this, but more
and more offline products can collect massive
amounts of data as well.
• Rolls Roys engines collect 100s of gigabytes during
flights and TomTom receives around 5.5 billion
datasets per day from its navigations used around the
world.

11. DATA SCIENTISTS
ON THE PAYROLL

12. • Analysing data is a difficult task with terabytes of
different types of data, although many Big Data start-ups
claim that their product does not require an expensive IT
department (Big Data scientist are expensive).
• A well-trained data scientist can help you figuring out the
right questions you need to ask in order to get the right
answers to take advantage of all the data available.

13. DON’T WAIT, START NOW

14. • McKinsey expects that by 2018 there will be a
shortage of 140,000 – 190,000 data scientists and
1,500,000 data managers, in America alone.
• Start collecting massive amounts of data and store it
centralized with Hadoop, hire or train your data
scientists.

15. Thank You!
Source : https://datafloq.com/read/key-characteristics-companies-big-data/227
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