With the explosion of data in recent years, there’s more emphasis on data-based decision-making for all companies. But what if we could process data and act on it in real-time? What if we could be proactive instead of reactive to improve performance?

1. These Fascinating
Examples Show Why
Analytics Matter
More Than Ever
Data And Real-Time

2. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
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IntroductionIntroduction
With the explosion of data in recent years, there’s more emphasis on data-based
decision-making for all companies. But what if we could process data and act on it in
real-time? What if we could be proactive instead of reactive to improve performance?
Streaming data and streaming analytics now make that possible for almost every
company in every industry to drive intelligence and action in real-time. And with an
accelerated push for automation and digitization in a post-coronavirus world, it is clear
that those companies that leverage real-time data are much more likely to gain a
competitive edge on their competitors.
These Fascinating Examples Show Why
Streaming Data And Real-Time Analytics Matter
More Than Ever

3. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What is Streaming Data?
Dynamic data that is generated continuously from a variety of sources is considered
streaming data. Whether that data comes from social media feeds or sensors and cameras,
each record needs to be processed in a way that preserves its relation to other data and
sequence in time. Log files, e-commerce purchases, weather events, utility service usage,
geo-location of people and things, server activity, and more are all examples where real-
time streaming data is created.
When companies are able to analyse streaming data they receive, they can get real-time
insights to understand exactly what is happening at any given point in time. This enables
better decision-making as well as provide customers with better and more personalized
services. Nearly every company is or can use streaming data.

4. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What is Streaming Analytics?
When there is a constant stream of data being generated and gathered, there needs to be
streaming analytics to make sense of the data in real-time as well. Streaming analytics is
when analytics is brought to the data in order to generate insights while the data is in the
"stream" instead of stored. Traditionally, the analysis of data occurs once it's been
captured and stored, and then any insights are "pushed out." Streaming analytics makes
companies more agile and responsive to the realities and environments where they
operate. It's important to recognize that streaming analytics allows organizations to be
proactive with real-time processing and decision making instead of being reactive to the
data.

5. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
Any data-driven organization, which today is nearly all of them, can use real-time and
streaming data to improve results. Here are just a few use cases across multiple industries:
Predictive maintenance: When companies can identify maintenance issues prior to
breakdowns or system failure, they will save time, money, and other potentially
catastrophic effects on the business. Any company that has equipment of any kind that
has sensors or cameras—again, that’s most equipment these days—will create streaming
data. From monitoring the performance of trucks, and airplanes, to predicting issues with
complex manufacturing equipment, real-time data and analytics is becoming critical to
modern enterprises today.

6. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
Healthcare: Just like in a manufacturing environment, wearables, and healthcare
equipment such as glucometers, connected scales, heart rate and blood pressure monitors
have sensors that monitor a patient’s vitals and essential body functions. These
equipment are also crucial for effective remote patient monitoring that supports clinicians
who don’t have the bandwidth to be everywhere all the time. It’s literally a matter of life or
death. Immediate insights can improve patient outcomes and experiences.
Retail: Real-time data streaming from IoT sensors and video are driving a modern retail
renaissance. Brick-and-mortar retail stores can engage customers in the moment thanks
to streaming data. Location-based marketing, trend insights, and improvements to
operational efficiency, such as product movement or product freshness, are all possible
with real-time insights. Understanding what a consumer wants when they want it “in the
moment” is not only valuable in retail. Any company that is able to understand and
respond immediately to what its customer wants in micro-moments will have a better
chance of being successful, whether it's to deliver something a consumer wants to learn,
discover, watch or buy.

7. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
Social media: With cries of “fake news” and instances of social media bullying continuing
to rise, the need for real-time monitoring of posts to quickly take action on offensive and
“fake news” is more important than ever. Under mounting pressure, social media
platforms are creating tools to be able to process the huge volume of data created quickly
and efficiently to be able to take action as immediately as possible, especially to prevent
bullying.
Finance: On the trading floor, it's easy to see how understanding and acting on
information in real-time is vital, but streaming data also helps the financial functions of
any company by processing transactional information, identify fraudulent actions, and
more. For example, MasterCard is using data and analytics to helping financial
organizations quickly and easily identify fraudulent merchants to reduce risk. Similarly, by
gaining the ability to process real-time data, Rabobank is able to detect warning signals in
extremely early stages of where clients may go into default.

8. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
Energy and power: In the energy sector, companies are working to optimize fossil fuels
and adopt more sustainable power systems. A continuous flow of data helps with
predictive maintenance on equipment as well as to better understand consumer demand
and improve business and operations.
Personalization of products and services: Companies can better respond to consumers’
demands to have what they want (and even what they don’t know they want yet) thanks
to streaming data. From online news publications that serve up content a particular reader
is most interested in to streaming services that recommend the next things to watch,
personalization adds value to the customer experience but is only possible in real-time
because of streaming data.
Transportation and supply-chain: Streaming data powers the internet of trains, makes
connected and autonomous vehicles possible and safer, and is crucial in making fleet
operations more efficient.

9. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
KPIs: Leaders can make decisions based on real-time KPIs such as financial, customer, or
operational performance data. Previously, this analysis was reactive and looked back at
past performance. Today, real-time data can be compared with historical information to
give leaders a perspective on business that informs real-time decisions.
As you can see, streaming data is increasingly important to most companies in most
industries. Successful companies are integrating streaming analytics to move their data
analytics from a reactive to a more proactive real-time approach. The best ones will be
thinking about integrating their real-time data with predictive models and scenario
analysis to gain strategic foresight.
However, in order to harness fast and streaming data, organizations today need an end-
to-end data management and analytics platform that can collect, process, manage, and
analyze data in real-time to drive insights and enable machine learning to implement
some of the most compelling use cases. Most importantly, they need to be able to do
these with the robust security, governance, data protection, and management capabilities
that enterprises require.

10. © 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Use Cases for Real-Time and Streaming Data
Join me on Aug 13th for a virtual event with Cloudera titled -- Streaming Analytics in the
Real World -- where we will be highlighting top real-time use cases across 8 key
industries.

11. Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website
© 2020 Bernard Marr , Bernard Marr & Co. All rights reserved© 2017 Bernard Marr , Bernard Marr & Co. All rights reserved
© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
Bernard Marr is an internationally best-selling author, popular keynote speaker, futurist, and a
strategic business & technology advisor to governments and companies. He helps
organisations improve their business performance, use data more intelligently, and
understand the implications of new technologies such as artificial intelligence, big data,
blockchains, and the Internet of Things.
LinkedIn has ranked Bernard as one of the world’s top 5 business influencers. He is a frequent
contributor to the World Economic Forum and writes a regular column for Forbes. Every day
Bernard actively engages his 1.5 million social media followers and shares content that
reaches millions of readers.
Visit The
Website

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