ISME April 2018
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Cloud & Big Data<br />
decision making. It is also<br />
extending to people who<br />
have little or no training at all<br />
in data use and interpretation.<br />
The way data works is it<br />
comes in various formats<br />
and is then stored across<br />
many complex systems that<br />
are spread across different<br />
departments. Many firms and<br />
organisations are data driven<br />
but simply being data driven<br />
has not made any change in<br />
their business. The reason<br />
why being data driven has not<br />
helped business is because<br />
raw data has limited value<br />
without the required context.<br />
Raw data that does not have<br />
context do not provide the<br />
employees with the needed<br />
information or background to<br />
get an understanding of the<br />
same.<br />
Questions like what is it,<br />
where did it happen, what<br />
use it has are not answered<br />
by raw data. It is important<br />
that entrepreneurs do not<br />
only provide employees with<br />
raw data but also process it<br />
for analysis to help them to<br />
leverage the data to its full<br />
potential.<br />
What should<br />
Entrepreneurs do with<br />
Raw Data?<br />
The difference between<br />
raw data and data with<br />
context is that one is not<br />
easily understood while the<br />
other provides information.<br />
Information is nothing<br />
but a collection of data<br />
that answers the ‘who,<br />
what, where’ questions.<br />
Entrepreneurs must take raw<br />
data and process, aggregate<br />
and organise them into more<br />
human friendly formats that<br />
allows for data visualization<br />
etc.<br />
Data that is contextualised<br />
helps in transforming data<br />
into information that can be<br />
used as an actionable insight<br />
to make business decisions.<br />
An entrepreneur who wants<br />
to use data of an organisation<br />
the correct way must provide<br />
the decision makers of the<br />
company with information for<br />
analysis rather than raw data.<br />
Data with Context<br />
Leads to Actionable<br />
Insights<br />
What makes a data-driven<br />
company successful? The<br />
ability to maximise the<br />
actionable insights that<br />
are received from the data<br />
collected.<br />
It is only when an organisation<br />
has data with context that it<br />
can have valuable insights<br />
that can help a business to<br />
answer important questions.<br />
But for a data-driven success<br />
an entrepreneur needs to<br />
draw conclusions from data<br />
that allow them to influence<br />
decisions and bring in<br />
change. It is not enough to<br />
have insights that can answer<br />
a question. It is natural that<br />
all insights that are driven<br />
from data will not necessarily<br />
be actionable. It is important<br />
for an organisation to be<br />
able to detect relevant and<br />
personalized information to the<br />
right person and use company<br />
data to make success driven<br />
decisions.<br />
Every company is datadriven.<br />
There is no other way<br />
to be in the present business<br />
world. But not all data driven<br />
business has the same amount<br />
of success that some others<br />
have. The reason behind this<br />
is many entrepreneurs assume<br />
that creating and generating<br />
data is all that is needed to<br />
be data-driven. But collecting<br />
data in itself do not drive the<br />
success of a company. The<br />
collected data must be put to<br />
use. It must be processed from<br />
raw data and presented to the<br />
employees who would then<br />
work on the actionable insights<br />
and make data the basis on<br />
which the success of decision<br />
making rests. There is more<br />
to being data-driven than just<br />
collecting data. Entrepreneurs<br />
who want to succeed as a<br />
data-driven company must add<br />
context to their data and base<br />
their decisions on the insights<br />
received.<br />
SPI thinktank<br />
initiative<br />
Intelligent SME | <strong>April</strong> <strong>2018</strong><br />
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