SlideShare a Scribd company logo
1 of 25
Download to read offline
Precise data integration
thanks to Big Data analysis
and Artificial Intelligence
algorithms
Wojciech Dwojacki, OnAudience.com / Cloud Technologies Group
Problem
Incomplete client profiles
Data Integration
Solution
Full client profile
Results
By 2021, Internet traffic will be
generating 280,000 petabytes
monthly
Internet traffic (monthly, in petabytes)
Global data volume is growing rapidly
Source: Statista.com
Value of global data market in 2019 Value of data market in Poland in 2019
became a currency of XXI century
Source: Global Data Market Size 2016-2018, OnAudience.com
Data
Sources of stored data
Integrating users’ data
Incomplete profile Data stream Full client profile
How domains are classified?
New website
Classified domains
Classification model PredictionsText transformation
Interests
Demography
Intentions
using DMP technology
Data Management Platform (DMP)
The platform makes it possible to control all
users’ data that comes from various sources.
It enables to manage and analyze data about
online activity and users’ behavior.
The DMP helps to profile users and group them
into larger segments, such as Music Lovers or
Sports Fans.
Integrating and managing data
Integration Management ActivationData Gathering Analysis
technology for managing big data sets
Data Management Platform
DMP makes it possible to collect
data from various channels, for
example:
● web pages
● landing pages
● mobile applications
● offline, e.g., data from CRM
● online campaigns
Data Gathering
DMP allows the integration of all data types in
purpose to create a 360-degrees client picture.
1st party data - client’s own data,
e.g., from web pages or CRM
2nd party data - partner’s data,
e.g., from online campaign
3rd party data - purchased from data
providers, e.g., DMP/DSP
Integration
DMP makes it possible not only to gather
but also organize all data types, e.g.:
● creating segments tailored to specific
brands
● division of user profiles based on
markets
● creating custom segments, e.g.,
users who bought specific product,
visited chosen website, or
participated in selected campaigns.
Management
Activation
DMP gives access to DSP platforms, where
online campaigns are maintaining on. After
segments are created, online campaign is set
in a few clicks, targeted at precisely chosen
group. For example, via:
● display ads
● video ads
● social network ads
● search ads
Gathered data is precisely analyzed. The
information serves for optimization of the
campaign and increasing client engagement.
Analysis takes into account:
● demographic data
● online activity
● online campaign efficiency
● best converting profiles
Analysis
Retargeting
Audience Intelligence
reports
Prospecting
Cross Device
campaigns
Frauds detectingContent personalization
Business goals of integration
with using of machine learning algorithms
Profiling of online clients
For creating a user profile, machines “read” and
analyze the content of visiting pages, and identify its
subject.
Based on the analysis, machines add an attribute
into the user profile which indicates a category,
e.g., automotive, art or technology interests.
Standard method
Methods of look-alike modeling
● Analysis of data points in target group
● Building groups with the highest probability
level of conversion
● Focused od quantity (large group of profiles)
● Based on customer path
● Focused on quality (smaller
target groups)
Graph method
Methods of look-alike modeling
Processing anonymous data Integrating data in CRM
Data processing and users privacy
CRM
Technology is not enough
+ =
One of the biggest data warehouses worldwide.
Processes more than 27 B user profiles from over 200
global markets worldwide.
A part of Cloud Technologies group - one of the fastest
growing technology companies in Europe, according to
rankings of Financial Times and Deloitte.
Who we are | OnAudience.com
Questions?
Thank you!
Wojciech Dwojacki
Head of Data Management
wojciech.dwojacki@onaudience.com

More Related Content

What's hot

Data collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkData collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkTrieu Nguyen
 
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...e-dialog GmbH
 
DMP - Multi-screen mobile ecommerce
DMP - Multi-screen mobile ecommerceDMP - Multi-screen mobile ecommerce
DMP - Multi-screen mobile ecommerce☁ Wasim Ahmad
 
Data management platform_market
Data management platform_marketData management platform_market
Data management platform_marketVaibhav Agarwal
 
Intelligenza Artificiale nel Retail
Intelligenza Artificiale nel RetailIntelligenza Artificiale nel Retail
Intelligenza Artificiale nel RetailFabio Gasparetti
 
SES 2014 Smart Remarketing presentation from Net Media Planet
SES 2014 Smart Remarketing presentation from Net Media PlanetSES 2014 Smart Remarketing presentation from Net Media Planet
SES 2014 Smart Remarketing presentation from Net Media PlanetIncubeta NMPi
 
New microsoft word document
New microsoft word documentNew microsoft word document
New microsoft word documentAbhishek Ojha
 
DMP Data Management Platform
DMP Data Management PlatformDMP Data Management Platform
DMP Data Management PlatformAvinash Tiwary
 
RTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxRTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxHusetMarkedsforing
 
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...e-dialog GmbH
 
What Is a Data Management Platform and Why You Should Care?
What Is a Data Management Platform and Why You Should Care?What Is a Data Management Platform and Why You Should Care?
What Is a Data Management Platform and Why You Should Care?IgnitionOne
 
360 degree customer view
360 degree customer view360 degree customer view
360 degree customer viewSalesBabuCRM
 
Hacking ecommerce growth using pricing intelligence
Hacking ecommerce growth using pricing intelligenceHacking ecommerce growth using pricing intelligence
Hacking ecommerce growth using pricing intelligencePromptCloud
 
The Data Management Platform: The Digital Brain You Wish You Had by Audrey R...
The Data Management Platform: The Digital Brain You Wish You Had by  Audrey R...The Data Management Platform: The Digital Brain You Wish You Had by  Audrey R...
The Data Management Platform: The Digital Brain You Wish You Had by Audrey R...FOUNDConference
 
Snapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a serviceSnapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a serviceCharles Bedard
 
Facetz DMP English 2014
Facetz DMP English 2014Facetz DMP English 2014
Facetz DMP English 2014Kirill Chistov
 
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...ANTS
 

What's hot (20)

Data collection, processing & organization with USPA framework
Data collection, processing & organization with USPA frameworkData collection, processing & organization with USPA framework
Data collection, processing & organization with USPA framework
 
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...
Siamac Alexander Rahnavard (Echte Liebe) Programmatic Creativity - Programmat...
 
DMP - Multi-screen mobile ecommerce
DMP - Multi-screen mobile ecommerceDMP - Multi-screen mobile ecommerce
DMP - Multi-screen mobile ecommerce
 
Data management platform_market
Data management platform_marketData management platform_market
Data management platform_market
 
Intelligenza Artificiale nel Retail
Intelligenza Artificiale nel RetailIntelligenza Artificiale nel Retail
Intelligenza Artificiale nel Retail
 
SES 2014 Smart Remarketing presentation from Net Media Planet
SES 2014 Smart Remarketing presentation from Net Media PlanetSES 2014 Smart Remarketing presentation from Net Media Planet
SES 2014 Smart Remarketing presentation from Net Media Planet
 
New microsoft word document
New microsoft word documentNew microsoft word document
New microsoft word document
 
DMP Data Management Platform
DMP Data Management PlatformDMP Data Management Platform
DMP Data Management Platform
 
RTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, KruxRTB Update 2: Richard Foster, Krux
RTB Update 2: Richard Foster, Krux
 
Why apps
Why appsWhy apps
Why apps
 
More MARTECH Please!!
More MARTECH Please!! More MARTECH Please!!
More MARTECH Please!!
 
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...
Andreas Grasel & Thorsten Feldhege (Adform) Wir haben eine DMP - Was nun? - P...
 
What Is a Data Management Platform and Why You Should Care?
What Is a Data Management Platform and Why You Should Care?What Is a Data Management Platform and Why You Should Care?
What Is a Data Management Platform and Why You Should Care?
 
360 degree customer view
360 degree customer view360 degree customer view
360 degree customer view
 
Hacking ecommerce growth using pricing intelligence
Hacking ecommerce growth using pricing intelligenceHacking ecommerce growth using pricing intelligence
Hacking ecommerce growth using pricing intelligence
 
The Data Management Platform: The Digital Brain You Wish You Had by Audrey R...
The Data Management Platform: The Digital Brain You Wish You Had by  Audrey R...The Data Management Platform: The Digital Brain You Wish You Had by  Audrey R...
The Data Management Platform: The Digital Brain You Wish You Had by Audrey R...
 
Snapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a serviceSnapshot DaaS - B2B data as a service
Snapshot DaaS - B2B data as a service
 
Marketing et big data
Marketing et big dataMarketing et big data
Marketing et big data
 
Facetz DMP English 2014
Facetz DMP English 2014Facetz DMP English 2014
Facetz DMP English 2014
 
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...
Marketing theo định hướng dữ liệu (Data-Driven) và Hệ thống quản trị khách hà...
 

Similar to Big Data Warsaw v 4 I "Precise Data Integration Thanks to Big Data Analysis & AI Algorithms" - Wojciech Dwojacki

Turn your user data into valuable business insights and higher ROI
Turn your user data into valuable business insights and higher ROITurn your user data into valuable business insights and higher ROI
Turn your user data into valuable business insights and higher ROIreklamajans
 
Reach targeted audience segments with top-quality 3rd party data.
Reach targeted audience segments with top-quality 3rd party data.Reach targeted audience segments with top-quality 3rd party data.
Reach targeted audience segments with top-quality 3rd party data.reklamajans
 
UNIT 4 Social-Media-Marketing
UNIT 4 Social-Media-MarketingUNIT 4 Social-Media-Marketing
UNIT 4 Social-Media-MarketingMohammadAsim91
 
CityAds Affiliate Marketing
CityAds Affiliate MarketingCityAds Affiliate Marketing
CityAds Affiliate MarketingNikolay Khokhlov
 
Борис Омельницкий
Борис ОмельницкийБорис Омельницкий
Борис ОмельницкийIABBelarus
 
Understanding Audience Data, Roadshow
Understanding Audience Data, RoadshowUnderstanding Audience Data, Roadshow
Understanding Audience Data, RoadshowTribal Fusion
 
Introduction Datalicious Korea
Introduction Datalicious KoreaIntroduction Datalicious Korea
Introduction Datalicious KoreaDatalicious Korea
 
Benchmarking Your Online Impact: From Stats to Reputation Management
Benchmarking Your Online Impact: From Stats to Reputation ManagementBenchmarking Your Online Impact: From Stats to Reputation Management
Benchmarking Your Online Impact: From Stats to Reputation ManagementNSI Partners, LLC
 
Cross Channel Attribution Modeling In Action
Cross Channel Attribution Modeling In ActionCross Channel Attribution Modeling In Action
Cross Channel Attribution Modeling In ActioniCrossing GmbH
 
IRJET - MADTECH Software System using Social Media Mining
IRJET - MADTECH Software System using Social Media MiningIRJET - MADTECH Software System using Social Media Mining
IRJET - MADTECH Software System using Social Media MiningIRJET Journal
 
Big Data Customer Experience Analytics -- The Next Big Opportunity for You
Big Data Customer Experience Analytics -- The Next Big Opportunity for You Big Data Customer Experience Analytics -- The Next Big Opportunity for You
Big Data Customer Experience Analytics -- The Next Big Opportunity for You Dr.Dinesh Chandrasekar PhD(hc)
 
[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDPTrieu Nguyen
 
Big Data and Data Analytics to grow Auto Manufacturer Business
Big Data and Data Analytics to grow Auto Manufacturer BusinessBig Data and Data Analytics to grow Auto Manufacturer Business
Big Data and Data Analytics to grow Auto Manufacturer BusinessSheetal Gangakhedkar
 
[Success Story] Caradisiac
[Success Story] Caradisiac[Success Story] Caradisiac
[Success Story] CaradisiacAT Internet
 
CDP for Retail Webinar with Appnovation - Q2 2022.pdf
CDP for Retail Webinar with Appnovation - Q2 2022.pdfCDP for Retail Webinar with Appnovation - Q2 2022.pdf
CDP for Retail Webinar with Appnovation - Q2 2022.pdfAcquia
 

Similar to Big Data Warsaw v 4 I "Precise Data Integration Thanks to Big Data Analysis & AI Algorithms" - Wojciech Dwojacki (20)

Turn your user data into valuable business insights and higher ROI
Turn your user data into valuable business insights and higher ROITurn your user data into valuable business insights and higher ROI
Turn your user data into valuable business insights and higher ROI
 
Reach targeted audience segments with top-quality 3rd party data.
Reach targeted audience segments with top-quality 3rd party data.Reach targeted audience segments with top-quality 3rd party data.
Reach targeted audience segments with top-quality 3rd party data.
 
UNIT 4 Social-Media-Marketing
UNIT 4 Social-Media-MarketingUNIT 4 Social-Media-Marketing
UNIT 4 Social-Media-Marketing
 
CityAds Affiliate Marketing
CityAds Affiliate MarketingCityAds Affiliate Marketing
CityAds Affiliate Marketing
 
Mar-Tech Oversight
Mar-Tech OversightMar-Tech Oversight
Mar-Tech Oversight
 
Борис Омельницкий
Борис ОмельницкийБорис Омельницкий
Борис Омельницкий
 
Understanding Audience Data, Roadshow
Understanding Audience Data, RoadshowUnderstanding Audience Data, Roadshow
Understanding Audience Data, Roadshow
 
The DMP
The DMPThe DMP
The DMP
 
BOLO2010 Portugal
BOLO2010 PortugalBOLO2010 Portugal
BOLO2010 Portugal
 
Introduction Datalicious Korea
Introduction Datalicious KoreaIntroduction Datalicious Korea
Introduction Datalicious Korea
 
Benchmarking Your Online Impact: From Stats to Reputation Management
Benchmarking Your Online Impact: From Stats to Reputation ManagementBenchmarking Your Online Impact: From Stats to Reputation Management
Benchmarking Your Online Impact: From Stats to Reputation Management
 
Cross Channel Attribution Modeling In Action
Cross Channel Attribution Modeling In ActionCross Channel Attribution Modeling In Action
Cross Channel Attribution Modeling In Action
 
IRJET - MADTECH Software System using Social Media Mining
IRJET - MADTECH Software System using Social Media MiningIRJET - MADTECH Software System using Social Media Mining
IRJET - MADTECH Software System using Social Media Mining
 
Data & AI Master Class - Jan Klawer, Artefact
Data & AI Master Class - Jan Klawer, ArtefactData & AI Master Class - Jan Klawer, Artefact
Data & AI Master Class - Jan Klawer, Artefact
 
Big Data Customer Experience Analytics -- The Next Big Opportunity for You
Big Data Customer Experience Analytics -- The Next Big Opportunity for You Big Data Customer Experience Analytics -- The Next Big Opportunity for You
Big Data Customer Experience Analytics -- The Next Big Opportunity for You
 
[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP[Notes] Customer 360 Analytics with LEO CDP
[Notes] Customer 360 Analytics with LEO CDP
 
Big Data and Data Analytics to grow Auto Manufacturer Business
Big Data and Data Analytics to grow Auto Manufacturer BusinessBig Data and Data Analytics to grow Auto Manufacturer Business
Big Data and Data Analytics to grow Auto Manufacturer Business
 
Google Analytics 4 : The Next Generation of Digital Analytics - Benjamin Kepn...
Google Analytics 4 : The Next Generation of Digital Analytics - Benjamin Kepn...Google Analytics 4 : The Next Generation of Digital Analytics - Benjamin Kepn...
Google Analytics 4 : The Next Generation of Digital Analytics - Benjamin Kepn...
 
[Success Story] Caradisiac
[Success Story] Caradisiac[Success Story] Caradisiac
[Success Story] Caradisiac
 
CDP for Retail Webinar with Appnovation - Q2 2022.pdf
CDP for Retail Webinar with Appnovation - Q2 2022.pdfCDP for Retail Webinar with Appnovation - Q2 2022.pdf
CDP for Retail Webinar with Appnovation - Q2 2022.pdf
 

More from Dataconomy Media

Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David An...
Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & 	David An...Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & 	David An...
Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David An...Dataconomy Media
 
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Dataconomy Media
 
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...Dataconomy Media
 
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...Dataconomy Media
 
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...
Data Natives meets DataRobot |  "Build and deploy an anti-money laundering mo...Data Natives meets DataRobot |  "Build and deploy an anti-money laundering mo...
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...Dataconomy Media
 
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...Dataconomy Media
 
Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Dat...
Data Natives Vienna v 7.0  | "Building Kubernetes Operators with KUDO for Dat...Data Natives Vienna v 7.0  | "Building Kubernetes Operators with KUDO for Dat...
Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Dat...Dataconomy Media
 
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...Dataconomy Media
 
Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness...
Data Natives Cologne v 4.0  | "The Data Lorax: Planting the Seeds of Fairness...Data Natives Cologne v 4.0  | "The Data Lorax: Planting the Seeds of Fairness...
Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness...Dataconomy Media
 
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...Dataconomy Media
 
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...Dataconomy Media
 
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...Dataconomy Media
 
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Dataconomy Media
 
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...Dataconomy Media
 
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...Dataconomy Media
 
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...Dataconomy Media
 
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...Dataconomy Media
 
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...Dataconomy Media
 
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...Dataconomy Media
 
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...Dataconomy Media
 

More from Dataconomy Media (20)

Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David An...
Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & 	David An...Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & 	David An...
Data Natives Paris v 10.0 | "Blockchain in Healthcare" - Lea Dias & David An...
 
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...
Data Natives Frankfurt v 11.0 | "Competitive advantages with knowledge graphs...
 
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...
Data Natives Frankfurt v 11.0 | "Can we be responsible for misuse of data & a...
 
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...
Data Natives Munich v 12.0 | "How to be more productive with Autonomous Data ...
 
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...
Data Natives meets DataRobot |  "Build and deploy an anti-money laundering mo...Data Natives meets DataRobot |  "Build and deploy an anti-money laundering mo...
Data Natives meets DataRobot | "Build and deploy an anti-money laundering mo...
 
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...
Data Natives Munich v 12.0 | "Political Data Science: A tale of Fake News, So...
 
Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Dat...
Data Natives Vienna v 7.0  | "Building Kubernetes Operators with KUDO for Dat...Data Natives Vienna v 7.0  | "Building Kubernetes Operators with KUDO for Dat...
Data Natives Vienna v 7.0 | "Building Kubernetes Operators with KUDO for Dat...
 
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...
Data Natives Vienna v 7.0 | "The Ingredients of Data Innovation" - Robbert de...
 
Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness...
Data Natives Cologne v 4.0  | "The Data Lorax: Planting the Seeds of Fairness...Data Natives Cologne v 4.0  | "The Data Lorax: Planting the Seeds of Fairness...
Data Natives Cologne v 4.0 | "The Data Lorax: Planting the Seeds of Fairness...
 
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...
Data Natives Cologne v 4.0 | "How People Analytics Can Reveal the Hidden Aspe...
 
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...
Data Natives Amsterdam v 9.0 | "Ten Little Servers: A Story of no Downtime" -...
 
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...
Data Natives Amsterdam v 9.0 | "Point in Time Labeling at Scale" - Timothy Th...
 
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
Data Natives Hamburg v 6.0 | "Interpersonal behavior: observing Alex to under...
 
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...
Data Natives Hamburg v 6.0 | "About Surfing, Failing & Scaling" - Florian Sch...
 
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...
Data NativesBerlin v 20.0 | "Serving A/B experimentation platform end-to-end"...
 
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...
Data Natives Berlin v 20.0 | "Ten Little Servers: A Story of no Downtime" - A...
 
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...
Big Data Frankfurt meets Thinkport | "The Cloud as a Driver of Innovation" - ...
 
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...
Thinkport meets Frankfurt | "Financial Time Series Analysis using Wavelets" -...
 
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...
Big Data Helsinki v 3 | "Distributed Machine and Deep Learning at Scale with ...
 
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...
Big Data Helsinki v 3 | "Federated Learning and Privacy-preserving AI" - Oguz...
 

Recently uploaded

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsRizwan Syed
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfjimielynbastida
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024The Digital Insurer
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...shyamraj55
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machinePadma Pradeep
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024BookNet Canada
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubKalema Edgar
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentationphoebematthew05
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Alan Dix
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsHyundai Motor Group
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraDeakin University
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Enterprise Knowledge
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...Fwdays
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsPrecisely
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptxLBM Solutions
 

Recently uploaded (20)

Scanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL CertsScanning the Internet for External Cloud Exposures via SSL Certs
Scanning the Internet for External Cloud Exposures via SSL Certs
 
Science&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdfScience&tech:THE INFORMATION AGE STS.pdf
Science&tech:THE INFORMATION AGE STS.pdf
 
My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024My INSURER PTE LTD - Insurtech Innovation Award 2024
My INSURER PTE LTD - Insurtech Innovation Award 2024
 
DMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special EditionDMCC Future of Trade Web3 - Special Edition
DMCC Future of Trade Web3 - Special Edition
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
Automating Business Process via MuleSoft Composer | Bangalore MuleSoft Meetup...
 
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort ServiceHot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
Hot Sexy call girls in Panjabi Bagh 🔝 9953056974 🔝 Delhi escort Service
 
Install Stable Diffusion in windows machine
Install Stable Diffusion in windows machineInstall Stable Diffusion in windows machine
Install Stable Diffusion in windows machine
 
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
Transcript: #StandardsGoals for 2024: What’s new for BISAC - Tech Forum 2024
 
Unleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding ClubUnleash Your Potential - Namagunga Girls Coding Club
Unleash Your Potential - Namagunga Girls Coding Club
 
costume and set research powerpoint presentation
costume and set research powerpoint presentationcostume and set research powerpoint presentation
costume and set research powerpoint presentation
 
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...Swan(sea) Song – personal research during my six years at Swansea ... and bey...
Swan(sea) Song – personal research during my six years at Swansea ... and bey...
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter RoadsSnow Chain-Integrated Tire for a Safe Drive on Winter Roads
Snow Chain-Integrated Tire for a Safe Drive on Winter Roads
 
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptxE-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
E-Vehicle_Hacking_by_Parul Sharma_null_owasp.pptx
 
Artificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning eraArtificial intelligence in the post-deep learning era
Artificial intelligence in the post-deep learning era
 
Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024Designing IA for AI - Information Architecture Conference 2024
Designing IA for AI - Information Architecture Conference 2024
 
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks..."LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
"LLMs for Python Engineers: Advanced Data Analysis and Semantic Kernel",Oleks...
 
Unlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power SystemsUnlocking the Potential of the Cloud for IBM Power Systems
Unlocking the Potential of the Cloud for IBM Power Systems
 
Key Features Of Token Development (1).pptx
Key  Features Of Token  Development (1).pptxKey  Features Of Token  Development (1).pptx
Key Features Of Token Development (1).pptx
 

Big Data Warsaw v 4 I "Precise Data Integration Thanks to Big Data Analysis & AI Algorithms" - Wojciech Dwojacki

  • 1. Precise data integration thanks to Big Data analysis and Artificial Intelligence algorithms Wojciech Dwojacki, OnAudience.com / Cloud Technologies Group
  • 5. By 2021, Internet traffic will be generating 280,000 petabytes monthly Internet traffic (monthly, in petabytes) Global data volume is growing rapidly Source: Statista.com
  • 6. Value of global data market in 2019 Value of data market in Poland in 2019 became a currency of XXI century Source: Global Data Market Size 2016-2018, OnAudience.com Data
  • 8. Integrating users’ data Incomplete profile Data stream Full client profile
  • 9. How domains are classified? New website Classified domains Classification model PredictionsText transformation Interests Demography Intentions
  • 10. using DMP technology Data Management Platform (DMP) The platform makes it possible to control all users’ data that comes from various sources. It enables to manage and analyze data about online activity and users’ behavior. The DMP helps to profile users and group them into larger segments, such as Music Lovers or Sports Fans. Integrating and managing data
  • 11. Integration Management ActivationData Gathering Analysis technology for managing big data sets Data Management Platform
  • 12. DMP makes it possible to collect data from various channels, for example: ● web pages ● landing pages ● mobile applications ● offline, e.g., data from CRM ● online campaigns Data Gathering
  • 13. DMP allows the integration of all data types in purpose to create a 360-degrees client picture. 1st party data - client’s own data, e.g., from web pages or CRM 2nd party data - partner’s data, e.g., from online campaign 3rd party data - purchased from data providers, e.g., DMP/DSP Integration
  • 14. DMP makes it possible not only to gather but also organize all data types, e.g.: ● creating segments tailored to specific brands ● division of user profiles based on markets ● creating custom segments, e.g., users who bought specific product, visited chosen website, or participated in selected campaigns. Management
  • 15. Activation DMP gives access to DSP platforms, where online campaigns are maintaining on. After segments are created, online campaign is set in a few clicks, targeted at precisely chosen group. For example, via: ● display ads ● video ads ● social network ads ● search ads
  • 16. Gathered data is precisely analyzed. The information serves for optimization of the campaign and increasing client engagement. Analysis takes into account: ● demographic data ● online activity ● online campaign efficiency ● best converting profiles Analysis
  • 17. Retargeting Audience Intelligence reports Prospecting Cross Device campaigns Frauds detectingContent personalization Business goals of integration
  • 18. with using of machine learning algorithms Profiling of online clients For creating a user profile, machines “read” and analyze the content of visiting pages, and identify its subject. Based on the analysis, machines add an attribute into the user profile which indicates a category, e.g., automotive, art or technology interests.
  • 19. Standard method Methods of look-alike modeling ● Analysis of data points in target group ● Building groups with the highest probability level of conversion ● Focused od quantity (large group of profiles)
  • 20. ● Based on customer path ● Focused on quality (smaller target groups) Graph method Methods of look-alike modeling
  • 21. Processing anonymous data Integrating data in CRM Data processing and users privacy CRM
  • 22. Technology is not enough + =
  • 23. One of the biggest data warehouses worldwide. Processes more than 27 B user profiles from over 200 global markets worldwide. A part of Cloud Technologies group - one of the fastest growing technology companies in Europe, according to rankings of Financial Times and Deloitte. Who we are | OnAudience.com
  • 25. Thank you! Wojciech Dwojacki Head of Data Management wojciech.dwojacki@onaudience.com