Sysfore Technologies

#117-120, First Floor, 4th Block, 80 Feet Road, Koramangala, Bangalore 560034

DATA MINIMIZATION IN THE

AGE OF BIG DATA

Data minimization in the age of Big Data

In the age of Big Data where every second feeds tonnes of data to the cloud,

there is an information overload happening. Do you really require to collect all

that data and store it in the hope that you will use it someday? This is where

Data Minimization comes into the picture.

As businesses grow, so does the amount of data/information that it collects over

the years. Faced with the challenges of storing and managing Big Data, many are

realizing that storing everything is not only unviable, but also unnecessary.

Don’t get buried under the Big Data deluge. Get in touch with Sysfore’s cloud

specialists and we’ll help manage your information storage through Data

Minimization.

Businesses have invested millions of dollars into storage infrastructure so that

they can capture every bit of available data. But as their datasets have grown,

many have realized that they simply do not need much of the low level data

created. More importantly, they have discovered that much of that data will

never be used.

Whether they use in-house data centers or cloud archiving options, there is a

cost associated to all of this unnecessary information that they hold.

What is Data Minimization?

Data minimization refers to the practice of

limiting the collection of personal

information to that which is directly relevant

and necessary to accomplish a specified

purpose.

The deluge of information started as

companies and organizations began to

understand the power of data. As data

becomes more ubiquitous and easy to collect,

analysts are faced with a hurricane of potential data points. The impulse was to

save all of it – indefinitely.

As the Internet of Things continues to grow, organizations are faced with more

ways to collect data, including and especially private, personally identifiable

data.

The focus needs to shift towards data minimization, where data is prioritized

and unnecessary data is discarded. Instead of a “save everything” approach,

data managers are now embracing a data minimization policy, keeping only

what’s relevant and necessary. Even Walmart only relies on the previous 4

weeks of data for its day-to-day merchandising strategies.

Underlying Data Minimization benefits

One factor which is becoming increasingly popular among organizations is the

cost and time factor involved in hoarding this excessive data indefinitely. All

data storage costs money, and no business has an infinite budget to go on

collecting and storing data indefinitely.

Another factor is the corporate computer security. Having too much data like

personally identifiable data brings big risks. There is the risk of data loss and

security breaches. A major leak of sensitive personal information can easily

destroy a business or even lead to charges of criminal negligence.

Data Minimization mitigate both these factors significantly. It avoids multiple

ways of storing data, thus reduces the cost of storing indefinite chunks of

information. The value of the stored data decreases quickly and imagine the loss

of a piece of information which is not even compatible now.

The idea of Data Minimization is going strong and it is only a matter of time these

are included as standard procedures for mitigating risks.

Sysfore can guide you towards a Data Minimization approach for your

businesses. For more information, you contact us at info@sysfore.com or call us

at +91-80-4110-5555.