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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.