All language subtitles for 05_how-data-drives-modern-business.en

Nowadays, it seems that data
is generated everywhere.

Computer functions
have been integrated

into a multitude of
everyday technologies.

Smart home voice assistance,

step trackers, TV
streaming apps,

even some coffee
makers are connected.

All of these touchpoints create

data that businesses can use to

understand trends and advance

their products and services.

With every update,
the ability to gather

environmental and user
data expands even further.

Within this massive reserve
of data is a wealth of

untapped potential of waiting

data professionals and the
organizations they support.

That's why these people
are so in demand.

Companies need them to use

data to refine
business strategies,

meet consumer preferences,
react to emerging trends,

and re-align internal efforts.

Let's consider some
examples of how

data professionals use

their expertise to
transform industries.

First, the world
of big finance was

an early adopter of the
power of data science.

With the way information
drives this industry,

it's easy to understand why.

Data professionals help

financial institutions
assess investment risks,

monitor market trends, detect
anomalies to reduce fraud,

and create a more stable
financial system overall.

Hundreds of millions of
financial transactions

occur in the financial
world each day,

and data as part of each
and every one of them.

As another example, data
analytics is key in health care.

Here, the data benefits can
actually be life-saving.

For instance, the
information collected by

smartwatches is making
a huge difference

in the lives of many people.

Sensors in these
devices record biodata,

such as heart rate
and oxygen levels.

Of course, all this information

can be shared with health
care professionals.

Together, the patient
and the physician

can better understand
sleep trends,

stress levels, and much more.

Then individualized
wellness plans can be

created and modified for
the patient's well-being.

Plus, on a larger scale,

data analytics is helping

health care
organizations process

large amounts of clinical data,

which supports the
early detection of

a health condition and leads
to more precise diagnosis.

Thirdly, data has a big
impact in manufacturing.

Data professionals
predict when to perform

preventative maintenance to

avoid production
line breakdowns,

use data to maximize

quality assurance
and defect tracking.

Artificial intelligence
models help respond to

logistical issues and reduce

delivery truck
miles on the road,

advancing key
sustainability goals.

In a time when supply chains

reach every corner of the world,

data enables clear and near

real-time communication
with suppliers,

retailers, and other
network partners.

It also helps supply chains
maintain optimal levels of

inventory to avoid stock-outs
and empty retail shelves.

Data professionals are also

advancing approaches
to agriculture.

With data insights, farmers

develop new ways to
approach crop production,

livestock care, forestry,
and agriculture.

The inclusion of
autonomous machinery,

tractors and irrigation systems

is improving harvesting
technologies as well.

If you'd like to keep
learning about how various

industries use data analytics,

refer to the course
resources on this topic.

Here's a little piece
of advice from me.

Don't miss an
opportunity to learn

from someone in real life.

I love asking business
owners, store managers,

and client support
professionals about

how they use data
each and every day.

Who knows? One of
these conversations

could open a door to a
future opportunity for you.