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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 />

41

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