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DIGITAL TRANSFORMATION
OIL
Millions of years oil has been contained in the bowels of the earth, and only
in the twentieth and the twenty-first century oil becomes the most important
mineral resource for mankind
BIG DATA is the new oil
"Retailers who can use the full power of Big Data can increase
their income by 60% "- Forbes
Once upon a time
Humanity has been saving data for thousands of years.
Today we are entering a new era: DATA AGE
1440
1944
The US university
libraries double
their size every 16
years
1960
IBM creates a
hierarchically
structured database
1961
The number of
new journals is
doubling every
15 years
19963 thousand years BC
The invention of a
printing machine
1962
The birth of
the “Data
Analysis”
The birth of the term
“Data Science”
Digital data storage is
becoming cheaper
than using paper
Created 5 exabytes
of new information
Created 1.5
exabytes of
unique
information
1999
2002
2015-2016
Over the past two
years, it has been
created more data
than in the whole
history of mankind
The annual size of the global data volume
Zettabytes
Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017
Data created
By 2025, more than a quarter of the data created in the global
datasphere will be in real time
Real-time data% Total Global Datasphere
Zettabytes
Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017
And by 2025, the IoT (Internet of Things) real-time data will reach 95%
of the global database
OtherIoT
Zettabytes
Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017
Every minute:
Faceb users send 31.25 million
messages in average and watch
2.77 million videos
Every second: we send
40.000 search queries (only in
Google) - this is 1.2 trillion
searches per year
Explosion of data
At the moment, we use less than 0.5% of all possible
data
Big Data – it’s a 4 «V» - volume, variety, velocity, veracity
Artificial Intelligence (AI) will double the annual growth rates
of leading economies, including Russia
Baseline AI steady state
Sweden Netherlands Germany Austria France Japan Belgium Spain Italy
Source: Accenture и Frontier Economics
Real gross value added (GVA) (%, growth)
United
States
United
Kingdom
Finland
How Data
are becoming new fuel?
Applied
artificial intelligence
in retail
Transformation Big Data into value
Information asset
Has a large:
• Volume
• Growth rate
• Diversity
• Reliability?
Requires special:
• Technologies
• Methods
To transform into value
Transformation Big Data into value
• Sales staff
• Merchandisers
• Crowdsourcing
• Image
recognition
• Receipts
and loyalty
cards
• External data• Supply chain
•Prices and promo
monitoring
• Stocks in stores
We apply such technologies and methods
Data sensing
Artificial intelligence
Machine learning
Deep
Learning
Specific and practical business task: to ensure sales growth
We already know a lot!
About the seasonality, and
about the weather, and
about the stocks ...
But this is not enough to accurately determine the expected
demand unfortunately
Sales
growth
On Shelf
Availability
(OSA)
Ensure OSA!
=
Know the
expected
demand
Value in retail
Value in retail
Create new factors: related products
VS
+
Neural network
Cannibals
Generators
We get: an
increase in
the average
check
We plan:
display of goods
assortment
promo
Define:
related
products
Value in retail
And now we need to understand what factors are important and how they
affect demand:
What is more important the price on the shelf or the weather?
What if beer?
What if it is summer?
What if the temperature +34?
And if your neighbor launched promo?
What if, what if?
Artificial Intelligence in OSA Hybrid Platform handles more than 100
factors to determine the availability of goods on the shelf and prompts
the business solution
● In real time
● With high accuracy
● With wide coverage
But we went further:
now the machine will learn the machine
Simulation Newlam
teaches to understand
the work of the store and
the demand
Neural network "Couple"
knows everything about
the goods in a particular
store
 Data is confidential information
 Data is new oil
Data become a valuable resource - legislation needs to be
adapted
Is it necessary to apply antimonopoly legislation in the data field
to stimulate the development of the economy?
Thank you!

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Data is new oil eng

  • 2. OIL Millions of years oil has been contained in the bowels of the earth, and only in the twentieth and the twenty-first century oil becomes the most important mineral resource for mankind
  • 3. BIG DATA is the new oil "Retailers who can use the full power of Big Data can increase their income by 60% "- Forbes
  • 4. Once upon a time Humanity has been saving data for thousands of years. Today we are entering a new era: DATA AGE 1440 1944 The US university libraries double their size every 16 years 1960 IBM creates a hierarchically structured database 1961 The number of new journals is doubling every 15 years 19963 thousand years BC The invention of a printing machine 1962 The birth of the “Data Analysis” The birth of the term “Data Science” Digital data storage is becoming cheaper than using paper Created 5 exabytes of new information Created 1.5 exabytes of unique information 1999 2002 2015-2016 Over the past two years, it has been created more data than in the whole history of mankind
  • 5. The annual size of the global data volume Zettabytes Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017 Data created
  • 6. By 2025, more than a quarter of the data created in the global datasphere will be in real time Real-time data% Total Global Datasphere Zettabytes Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017
  • 7. And by 2025, the IoT (Internet of Things) real-time data will reach 95% of the global database OtherIoT Zettabytes Source: IDC Data Age 2025 study, sponsored by Seagate, April 2017
  • 8. Every minute: Faceb users send 31.25 million messages in average and watch 2.77 million videos Every second: we send 40.000 search queries (only in Google) - this is 1.2 trillion searches per year Explosion of data At the moment, we use less than 0.5% of all possible data
  • 9. Big Data – it’s a 4 «V» - volume, variety, velocity, veracity
  • 10. Artificial Intelligence (AI) will double the annual growth rates of leading economies, including Russia Baseline AI steady state Sweden Netherlands Germany Austria France Japan Belgium Spain Italy Source: Accenture и Frontier Economics Real gross value added (GVA) (%, growth) United States United Kingdom Finland
  • 13. Transformation Big Data into value Information asset Has a large: • Volume • Growth rate • Diversity • Reliability? Requires special: • Technologies • Methods To transform into value
  • 14. Transformation Big Data into value • Sales staff • Merchandisers • Crowdsourcing • Image recognition • Receipts and loyalty cards • External data• Supply chain •Prices and promo monitoring • Stocks in stores
  • 15. We apply such technologies and methods Data sensing Artificial intelligence Machine learning Deep Learning
  • 16. Specific and practical business task: to ensure sales growth We already know a lot! About the seasonality, and about the weather, and about the stocks ... But this is not enough to accurately determine the expected demand unfortunately Sales growth On Shelf Availability (OSA) Ensure OSA! = Know the expected demand Value in retail
  • 17. Value in retail Create new factors: related products VS + Neural network Cannibals Generators
  • 18. We get: an increase in the average check We plan: display of goods assortment promo Define: related products Value in retail
  • 19. And now we need to understand what factors are important and how they affect demand: What is more important the price on the shelf or the weather? What if beer? What if it is summer? What if the temperature +34? And if your neighbor launched promo? What if, what if?
  • 20. Artificial Intelligence in OSA Hybrid Platform handles more than 100 factors to determine the availability of goods on the shelf and prompts the business solution ● In real time ● With high accuracy ● With wide coverage
  • 21. But we went further: now the machine will learn the machine Simulation Newlam teaches to understand the work of the store and the demand Neural network "Couple" knows everything about the goods in a particular store
  • 22.  Data is confidential information  Data is new oil Data become a valuable resource - legislation needs to be adapted Is it necessary to apply antimonopoly legislation in the data field to stimulate the development of the economy?