SlideShare une entreprise Scribd logo
1  sur  43
A TECH GUY’S TAKE ON
                     BIG DATA BUSINESS CASES




Wednesday, April 17, 13
Pavlo Baron, codecentric AG

                          pavlo.baron@codecentric.de

                          @pavlobaron


Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                            A MEASURE OF SIZE
Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                                 A TOOL
Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                              THE NEW OIL
Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                              A MAGIC TRICK
Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                AN EXPERIMENTAL PROJECT
Wednesday, April 17, 13
WHAT IS BIG DATA NOT?




                           A SECRET STRATEGY
Wednesday, April 17, 13
WHAT IS BIG DATA?




                          A NONSENSE TERM
Wednesday, April 17, 13
WHAT IS BIG DATA?




                               A HYPE
Wednesday, April 17, 13
WHAT IS BIG DATA?




                    A UNIQUE SELLING POINT
Wednesday, April 17, 13
WHAT IS BIG DATA?




                          A MARKETING CHANNEL
Wednesday, April 17, 13
WHAT IS BIG DATA?




                           DECISION SPEED
Wednesday, April 17, 13
WHAT IS BIG DATA?




                          PREDICTION QUALITY
Wednesday, April 17, 13
WHAT IS BIG DATA?




                          RECOMMENDATIONS
Wednesday, April 17, 13
WHAT IS BIG DATA?




                          HUGE POTENTIAL
Wednesday, April 17, 13
WHAT IS BIG DATA?




                 INEVITABLE STRATEGY PART
Wednesday, April 17, 13
WHAT IS BIG DATA?




                              SCIENCE
Wednesday, April 17, 13
WHAT IS BIG DATA?




                             NECESSITY
Wednesday, April 17, 13
WHO DOES BIG DATA?




                          THE USUAL SUSPECTS
Wednesday, April 17, 13
WHO DOES BIG DATA?




                            THE GREY MICE
Wednesday, April 17, 13
WHO DOES BIG DATA?




                          YOUR COMPETITORS
Wednesday, April 17, 13
WHO CAN DO BIG DATA?




                             YOU
Wednesday, April 17, 13
WHO CAN DO BIG DATA?




                           AND YOU
Wednesday, April 17, 13
WHO CAN DO BIG DATA?




                           AND YOU
Wednesday, April 17, 13
WHO CAN DO BIG DATA?




                           AND YOU
Wednesday, April 17, 13
WHO CAN DO BIG DATA?




                          EVERYBODY
Wednesday, April 17, 13
WHO MUST DO BIG DATA?




                          YOU ALREADY KNOW
Wednesday, April 17, 13
WHAT IS BIG DATA ABOUT?

                  gaining useful information out of any sorts, amounts
                  and variations of data

                  increasing your company’s value through application
                  of this information

                  continuously seeking for new data sources and ways
                  to gain information as well as increasing value

                  increasing decision / prediction speed and quality
                  using power of machines and recommendations

Wednesday, April 17, 13
ANSWER THE WHAT?




Wednesday, April 17, 13
ANSWER THE HOW?




Wednesday, April 17, 13
ANSWER THE WHAT WITH?




Wednesday, April 17, 13
MAKE MONEY WITH BIG DATA




                          KNOW YOUR CUSTOMER
Wednesday, April 17, 13
MAKE MONEY WITH BIG DATA




                          KNOW YOUR BUSINESS
Wednesday, April 17, 13
MAKE MONEY WITH BIG DATA




                          REACH YOUR CUSTOMER
Wednesday, April 17, 13
MAKE MONEY WITH BIG DATA




                 KNOW YOUR COMPETITOR
Wednesday, April 17, 13
MAKE MONEY WITH BIG DATA




                          TRADE YOUR DATA
Wednesday, April 17, 13
SAVE MONEY WITH BIG DATA




             MOVE FROM CAPEX TO OPEX
Wednesday, April 17, 13
SAVE MONEY WITH BIG DATA




                          KNOW YOUR OFFERS
Wednesday, April 17, 13
SAVE MONEY WITH BIG DATA




                          KNOW YOUR IMAGE
Wednesday, April 17, 13
SAVE MONEY WITH BIG DATA




                          GROW YOUR DATA
Wednesday, April 17, 13
LIVE LONG




                          AND PROSPER
Wednesday, April 17, 13
IMAGES TAKEN EVERYWHERE
                  ON THE INTERWEBS.
                   ALL DIRECTLY OR
                INDIRECTLY COPYRIGHT
              BY “THE BIG THEORY” CREW
               OR RELATED GAME PLAYERS
Wednesday, April 17, 13

Contenu connexe

En vedette

Near realtime analytics - technology choice (@pavlobaron)
Near realtime analytics - technology choice (@pavlobaron)Near realtime analytics - technology choice (@pavlobaron)
Near realtime analytics - technology choice (@pavlobaron)Pavlo Baron
 
Set this Big Data technology zoo in order (@pavlobaron)
Set this Big Data technology zoo in order (@pavlobaron)Set this Big Data technology zoo in order (@pavlobaron)
Set this Big Data technology zoo in order (@pavlobaron)Pavlo Baron
 
Assistech: An AAC Device for Autistic Children
Assistech: An AAC Device for Autistic ChildrenAssistech: An AAC Device for Autistic Children
Assistech: An AAC Device for Autistic ChildrenSusie Herbstritt
 
October 2011 website powerpoint
October 2011 website powerpointOctober 2011 website powerpoint
October 2011 website powerpointharfordcountymd
 
JUGS June'11 - Erlang/OTP
JUGS June'11 - Erlang/OTPJUGS June'11 - Erlang/OTP
JUGS June'11 - Erlang/OTPPavlo Baron
 
20 reasons why we don't need architects (@pavlobaron)
20 reasons why we don't need architects (@pavlobaron)20 reasons why we don't need architects (@pavlobaron)
20 reasons why we don't need architects (@pavlobaron)Pavlo Baron
 
Future Things/Robotic Products
Future Things/Robotic ProductsFuture Things/Robotic Products
Future Things/Robotic ProductsSusie Herbstritt
 
BigData & CDN - OOP2011 (Pavlo Baron)
BigData & CDN - OOP2011 (Pavlo Baron)BigData & CDN - OOP2011 (Pavlo Baron)
BigData & CDN - OOP2011 (Pavlo Baron)Pavlo Baron
 
Let It Crash (@pavlobaron)
Let It Crash (@pavlobaron)Let It Crash (@pavlobaron)
Let It Crash (@pavlobaron)Pavlo Baron
 

En vedette (11)

Asma
AsmaAsma
Asma
 
Near realtime analytics - technology choice (@pavlobaron)
Near realtime analytics - technology choice (@pavlobaron)Near realtime analytics - technology choice (@pavlobaron)
Near realtime analytics - technology choice (@pavlobaron)
 
Set this Big Data technology zoo in order (@pavlobaron)
Set this Big Data technology zoo in order (@pavlobaron)Set this Big Data technology zoo in order (@pavlobaron)
Set this Big Data technology zoo in order (@pavlobaron)
 
Assistech: An AAC Device for Autistic Children
Assistech: An AAC Device for Autistic ChildrenAssistech: An AAC Device for Autistic Children
Assistech: An AAC Device for Autistic Children
 
October 2011 website powerpoint
October 2011 website powerpointOctober 2011 website powerpoint
October 2011 website powerpoint
 
JUGS June'11 - Erlang/OTP
JUGS June'11 - Erlang/OTPJUGS June'11 - Erlang/OTP
JUGS June'11 - Erlang/OTP
 
20 reasons why we don't need architects (@pavlobaron)
20 reasons why we don't need architects (@pavlobaron)20 reasons why we don't need architects (@pavlobaron)
20 reasons why we don't need architects (@pavlobaron)
 
Future Things/Robotic Products
Future Things/Robotic ProductsFuture Things/Robotic Products
Future Things/Robotic Products
 
BigData & CDN - OOP2011 (Pavlo Baron)
BigData & CDN - OOP2011 (Pavlo Baron)BigData & CDN - OOP2011 (Pavlo Baron)
BigData & CDN - OOP2011 (Pavlo Baron)
 
Let It Crash (@pavlobaron)
Let It Crash (@pavlobaron)Let It Crash (@pavlobaron)
Let It Crash (@pavlobaron)
 
Kokkola
KokkolaKokkola
Kokkola
 

Similaire à A Tech Guy's Take on Big Data Business Cases

Unmoderated User Testing
Unmoderated User TestingUnmoderated User Testing
Unmoderated User TestingZURB
 
Borg - Resistance is futile: how implementing next generation discovery syste...
Borg - Resistance is futile: how implementing next generation discovery syste...Borg - Resistance is futile: how implementing next generation discovery syste...
Borg - Resistance is futile: how implementing next generation discovery syste...IL Group (CILIP Information Literacy Group)
 
Our Community: The Co-Author of Our Brand Story, with Georgy Cohen
Our Community: The Co-Author of Our Brand Story, with Georgy CohenOur Community: The Co-Author of Our Brand Story, with Georgy Cohen
Our Community: The Co-Author of Our Brand Story, with Georgy CohenMadeline Riley
 
Clay Johnson's Information Diet Slides from SXSW
Clay Johnson's Information Diet Slides from SXSWClay Johnson's Information Diet Slides from SXSW
Clay Johnson's Information Diet Slides from SXSWClay Johnson
 
Cleanweb uk worthing
Cleanweb uk worthingCleanweb uk worthing
Cleanweb uk worthingCleanweb UK
 
Structuring apps in Scala
Structuring apps in ScalaStructuring apps in Scala
Structuring apps in ScalaPhil Calçado
 
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...Chris DallaVilla
 
Leverage the Recent Facebook Changes
Leverage the Recent Facebook ChangesLeverage the Recent Facebook Changes
Leverage the Recent Facebook ChangesBrad Carroll
 
The End of the One-Off: How to build reskinnable content packages
The End of the One-Off: How to build reskinnable content packagesThe End of the One-Off: How to build reskinnable content packages
The End of the One-Off: How to build reskinnable content packagesKatie Richman
 
Otitis cronicas y complicaciones 12
Otitis cronicas y complicaciones 12Otitis cronicas y complicaciones 12
Otitis cronicas y complicaciones 12Instituto Laser Pepe
 

Similaire à A Tech Guy's Take on Big Data Business Cases (15)

Unmoderated User Testing
Unmoderated User TestingUnmoderated User Testing
Unmoderated User Testing
 
Designing for CMS 2013
Designing for CMS 2013Designing for CMS 2013
Designing for CMS 2013
 
Midwest principals
Midwest principalsMidwest principals
Midwest principals
 
Borg - Resistance is futile: how implementing next generation discovery syste...
Borg - Resistance is futile: how implementing next generation discovery syste...Borg - Resistance is futile: how implementing next generation discovery syste...
Borg - Resistance is futile: how implementing next generation discovery syste...
 
Our Community: The Co-Author of Our Brand Story, with Georgy Cohen
Our Community: The Co-Author of Our Brand Story, with Georgy CohenOur Community: The Co-Author of Our Brand Story, with Georgy Cohen
Our Community: The Co-Author of Our Brand Story, with Georgy Cohen
 
In Pursuit of Passion
In Pursuit of PassionIn Pursuit of Passion
In Pursuit of Passion
 
Clay Johnson's Information Diet Slides from SXSW
Clay Johnson's Information Diet Slides from SXSWClay Johnson's Information Diet Slides from SXSW
Clay Johnson's Information Diet Slides from SXSW
 
Matt Bailey
Matt BaileyMatt Bailey
Matt Bailey
 
Cleanweb uk worthing
Cleanweb uk worthingCleanweb uk worthing
Cleanweb uk worthing
 
Bcla
BclaBcla
Bcla
 
Structuring apps in Scala
Structuring apps in ScalaStructuring apps in Scala
Structuring apps in Scala
 
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...
Google’s Fuel For Your Marketing Machine - A Workshop In Aspen For Industry P...
 
Leverage the Recent Facebook Changes
Leverage the Recent Facebook ChangesLeverage the Recent Facebook Changes
Leverage the Recent Facebook Changes
 
The End of the One-Off: How to build reskinnable content packages
The End of the One-Off: How to build reskinnable content packagesThe End of the One-Off: How to build reskinnable content packages
The End of the One-Off: How to build reskinnable content packages
 
Otitis cronicas y complicaciones 12
Otitis cronicas y complicaciones 12Otitis cronicas y complicaciones 12
Otitis cronicas y complicaciones 12
 

Plus de Pavlo Baron

@pavlobaron Why monitoring sucks and how to improve it
@pavlobaron Why monitoring sucks and how to improve it@pavlobaron Why monitoring sucks and how to improve it
@pavlobaron Why monitoring sucks and how to improve itPavlo Baron
 
Why we do tech the way we do tech now (@pavlobaron)
Why we do tech the way we do tech now (@pavlobaron)Why we do tech the way we do tech now (@pavlobaron)
Why we do tech the way we do tech now (@pavlobaron)Pavlo Baron
 
Qcon2015 living database
Qcon2015 living databaseQcon2015 living database
Qcon2015 living databasePavlo Baron
 
Becoming reactive without overreacting (@pavlobaron)
Becoming reactive without overreacting (@pavlobaron)Becoming reactive without overreacting (@pavlobaron)
Becoming reactive without overreacting (@pavlobaron)Pavlo Baron
 
The hidden costs of the parallel world (@pavlobaron)
The hidden costs of the parallel world (@pavlobaron)The hidden costs of the parallel world (@pavlobaron)
The hidden costs of the parallel world (@pavlobaron)Pavlo Baron
 
data, ..., profit (@pavlobaron)
data, ..., profit (@pavlobaron)data, ..., profit (@pavlobaron)
data, ..., profit (@pavlobaron)Pavlo Baron
 
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)Data on its way to history, interrupted by analytics and silicon (@pavlobaron)
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)Pavlo Baron
 
(Functional) reactive programming (@pavlobaron)
(Functional) reactive programming (@pavlobaron)(Functional) reactive programming (@pavlobaron)
(Functional) reactive programming (@pavlobaron)Pavlo Baron
 
Diving into Erlang is a one-way ticket (@pavlobaron)
Diving into Erlang is a one-way ticket (@pavlobaron)Diving into Erlang is a one-way ticket (@pavlobaron)
Diving into Erlang is a one-way ticket (@pavlobaron)Pavlo Baron
 
Dynamo concepts in depth (@pavlobaron)
Dynamo concepts in depth (@pavlobaron)Dynamo concepts in depth (@pavlobaron)
Dynamo concepts in depth (@pavlobaron)Pavlo Baron
 
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)Pavlo Baron
 
What can be done with Java, but should better be done with Erlang (@pavlobaron)
What can be done with Java, but should better be done with Erlang (@pavlobaron)What can be done with Java, but should better be done with Erlang (@pavlobaron)
What can be done with Java, but should better be done with Erlang (@pavlobaron)Pavlo Baron
 
NoSQL - how it works (@pavlobaron)
NoSQL - how it works (@pavlobaron)NoSQL - how it works (@pavlobaron)
NoSQL - how it works (@pavlobaron)Pavlo Baron
 
The Agile Alibi (Pavlo Baron)
The Agile Alibi (Pavlo Baron)The Agile Alibi (Pavlo Baron)
The Agile Alibi (Pavlo Baron)Pavlo Baron
 
Harry Potter and Enormous Data (Pavlo Baron)
Harry Potter and Enormous Data (Pavlo Baron)Harry Potter and Enormous Data (Pavlo Baron)
Harry Potter and Enormous Data (Pavlo Baron)Pavlo Baron
 
Big Data & NoSQL - EFS'11 (Pavlo Baron)
Big Data & NoSQL - EFS'11 (Pavlo Baron)Big Data & NoSQL - EFS'11 (Pavlo Baron)
Big Data & NoSQL - EFS'11 (Pavlo Baron)Pavlo Baron
 

Plus de Pavlo Baron (16)

@pavlobaron Why monitoring sucks and how to improve it
@pavlobaron Why monitoring sucks and how to improve it@pavlobaron Why monitoring sucks and how to improve it
@pavlobaron Why monitoring sucks and how to improve it
 
Why we do tech the way we do tech now (@pavlobaron)
Why we do tech the way we do tech now (@pavlobaron)Why we do tech the way we do tech now (@pavlobaron)
Why we do tech the way we do tech now (@pavlobaron)
 
Qcon2015 living database
Qcon2015 living databaseQcon2015 living database
Qcon2015 living database
 
Becoming reactive without overreacting (@pavlobaron)
Becoming reactive without overreacting (@pavlobaron)Becoming reactive without overreacting (@pavlobaron)
Becoming reactive without overreacting (@pavlobaron)
 
The hidden costs of the parallel world (@pavlobaron)
The hidden costs of the parallel world (@pavlobaron)The hidden costs of the parallel world (@pavlobaron)
The hidden costs of the parallel world (@pavlobaron)
 
data, ..., profit (@pavlobaron)
data, ..., profit (@pavlobaron)data, ..., profit (@pavlobaron)
data, ..., profit (@pavlobaron)
 
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)Data on its way to history, interrupted by analytics and silicon (@pavlobaron)
Data on its way to history, interrupted by analytics and silicon (@pavlobaron)
 
(Functional) reactive programming (@pavlobaron)
(Functional) reactive programming (@pavlobaron)(Functional) reactive programming (@pavlobaron)
(Functional) reactive programming (@pavlobaron)
 
Diving into Erlang is a one-way ticket (@pavlobaron)
Diving into Erlang is a one-way ticket (@pavlobaron)Diving into Erlang is a one-way ticket (@pavlobaron)
Diving into Erlang is a one-way ticket (@pavlobaron)
 
Dynamo concepts in depth (@pavlobaron)
Dynamo concepts in depth (@pavlobaron)Dynamo concepts in depth (@pavlobaron)
Dynamo concepts in depth (@pavlobaron)
 
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)
Chef's Coffee - provisioning Java applications with Chef (@pavlobaron)
 
What can be done with Java, but should better be done with Erlang (@pavlobaron)
What can be done with Java, but should better be done with Erlang (@pavlobaron)What can be done with Java, but should better be done with Erlang (@pavlobaron)
What can be done with Java, but should better be done with Erlang (@pavlobaron)
 
NoSQL - how it works (@pavlobaron)
NoSQL - how it works (@pavlobaron)NoSQL - how it works (@pavlobaron)
NoSQL - how it works (@pavlobaron)
 
The Agile Alibi (Pavlo Baron)
The Agile Alibi (Pavlo Baron)The Agile Alibi (Pavlo Baron)
The Agile Alibi (Pavlo Baron)
 
Harry Potter and Enormous Data (Pavlo Baron)
Harry Potter and Enormous Data (Pavlo Baron)Harry Potter and Enormous Data (Pavlo Baron)
Harry Potter and Enormous Data (Pavlo Baron)
 
Big Data & NoSQL - EFS'11 (Pavlo Baron)
Big Data & NoSQL - EFS'11 (Pavlo Baron)Big Data & NoSQL - EFS'11 (Pavlo Baron)
Big Data & NoSQL - EFS'11 (Pavlo Baron)
 

Dernier

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Commit University
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brandgvaughan
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteDianaGray10
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr BaganFwdays
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024BookNet Canada
 
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
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024Lonnie McRorey
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii SoldatenkoFwdays
 
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
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.Curtis Poe
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningLars Bell
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 3652toLead Limited
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):comworks
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxhariprasad279825
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyAlfredo García Lavilla
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Mattias Andersson
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Scott Keck-Warren
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfPrecisely
 

Dernier (20)

Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!Nell’iperspazio con Rocket: il Framework Web di Rust!
Nell’iperspazio con Rocket: il Framework Web di Rust!
 
WordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your BrandWordPress Websites for Engineers: Elevate Your Brand
WordPress Websites for Engineers: Elevate Your Brand
 
Take control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test SuiteTake control of your SAP testing with UiPath Test Suite
Take control of your SAP testing with UiPath Test Suite
 
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
 
"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan"ML in Production",Oleksandr Bagan
"ML in Production",Oleksandr Bagan
 
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
Transcript: New from BookNet Canada for 2024: BNC CataList - Tech Forum 2024
 
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
 
TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024TeamStation AI System Report LATAM IT Salaries 2024
TeamStation AI System Report LATAM IT Salaries 2024
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko"Debugging python applications inside k8s environment", Andrii Soldatenko
"Debugging python applications inside k8s environment", Andrii Soldatenko
 
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
 
How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.How AI, OpenAI, and ChatGPT impact business and software.
How AI, OpenAI, and ChatGPT impact business and software.
 
DSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine TuningDSPy a system for AI to Write Prompts and Do Fine Tuning
DSPy a system for AI to Write Prompts and Do Fine Tuning
 
Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365Ensuring Technical Readiness For Copilot in Microsoft 365
Ensuring Technical Readiness For Copilot in Microsoft 365
 
CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):CloudStudio User manual (basic edition):
CloudStudio User manual (basic edition):
 
Artificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptxArtificial intelligence in cctv survelliance.pptx
Artificial intelligence in cctv survelliance.pptx
 
Commit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easyCommit 2024 - Secret Management made easy
Commit 2024 - Secret Management made easy
 
Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?Are Multi-Cloud and Serverless Good or Bad?
Are Multi-Cloud and Serverless Good or Bad?
 
Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024Advanced Test Driven-Development @ php[tek] 2024
Advanced Test Driven-Development @ php[tek] 2024
 
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdfHyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
Hyperautomation and AI/ML: A Strategy for Digital Transformation Success.pdf
 

A Tech Guy's Take on Big Data Business Cases

  • 1. A TECH GUY’S TAKE ON BIG DATA BUSINESS CASES Wednesday, April 17, 13
  • 2. Pavlo Baron, codecentric AG pavlo.baron@codecentric.de @pavlobaron Wednesday, April 17, 13
  • 3. WHAT IS BIG DATA NOT? A MEASURE OF SIZE Wednesday, April 17, 13
  • 4. WHAT IS BIG DATA NOT? A TOOL Wednesday, April 17, 13
  • 5. WHAT IS BIG DATA NOT? THE NEW OIL Wednesday, April 17, 13
  • 6. WHAT IS BIG DATA NOT? A MAGIC TRICK Wednesday, April 17, 13
  • 7. WHAT IS BIG DATA NOT? AN EXPERIMENTAL PROJECT Wednesday, April 17, 13
  • 8. WHAT IS BIG DATA NOT? A SECRET STRATEGY Wednesday, April 17, 13
  • 9. WHAT IS BIG DATA? A NONSENSE TERM Wednesday, April 17, 13
  • 10. WHAT IS BIG DATA? A HYPE Wednesday, April 17, 13
  • 11. WHAT IS BIG DATA? A UNIQUE SELLING POINT Wednesday, April 17, 13
  • 12. WHAT IS BIG DATA? A MARKETING CHANNEL Wednesday, April 17, 13
  • 13. WHAT IS BIG DATA? DECISION SPEED Wednesday, April 17, 13
  • 14. WHAT IS BIG DATA? PREDICTION QUALITY Wednesday, April 17, 13
  • 15. WHAT IS BIG DATA? RECOMMENDATIONS Wednesday, April 17, 13
  • 16. WHAT IS BIG DATA? HUGE POTENTIAL Wednesday, April 17, 13
  • 17. WHAT IS BIG DATA? INEVITABLE STRATEGY PART Wednesday, April 17, 13
  • 18. WHAT IS BIG DATA? SCIENCE Wednesday, April 17, 13
  • 19. WHAT IS BIG DATA? NECESSITY Wednesday, April 17, 13
  • 20. WHO DOES BIG DATA? THE USUAL SUSPECTS Wednesday, April 17, 13
  • 21. WHO DOES BIG DATA? THE GREY MICE Wednesday, April 17, 13
  • 22. WHO DOES BIG DATA? YOUR COMPETITORS Wednesday, April 17, 13
  • 23. WHO CAN DO BIG DATA? YOU Wednesday, April 17, 13
  • 24. WHO CAN DO BIG DATA? AND YOU Wednesday, April 17, 13
  • 25. WHO CAN DO BIG DATA? AND YOU Wednesday, April 17, 13
  • 26. WHO CAN DO BIG DATA? AND YOU Wednesday, April 17, 13
  • 27. WHO CAN DO BIG DATA? EVERYBODY Wednesday, April 17, 13
  • 28. WHO MUST DO BIG DATA? YOU ALREADY KNOW Wednesday, April 17, 13
  • 29. WHAT IS BIG DATA ABOUT? gaining useful information out of any sorts, amounts and variations of data increasing your company’s value through application of this information continuously seeking for new data sources and ways to gain information as well as increasing value increasing decision / prediction speed and quality using power of machines and recommendations Wednesday, April 17, 13
  • 32. ANSWER THE WHAT WITH? Wednesday, April 17, 13
  • 33. MAKE MONEY WITH BIG DATA KNOW YOUR CUSTOMER Wednesday, April 17, 13
  • 34. MAKE MONEY WITH BIG DATA KNOW YOUR BUSINESS Wednesday, April 17, 13
  • 35. MAKE MONEY WITH BIG DATA REACH YOUR CUSTOMER Wednesday, April 17, 13
  • 36. MAKE MONEY WITH BIG DATA KNOW YOUR COMPETITOR Wednesday, April 17, 13
  • 37. MAKE MONEY WITH BIG DATA TRADE YOUR DATA Wednesday, April 17, 13
  • 38. SAVE MONEY WITH BIG DATA MOVE FROM CAPEX TO OPEX Wednesday, April 17, 13
  • 39. SAVE MONEY WITH BIG DATA KNOW YOUR OFFERS Wednesday, April 17, 13
  • 40. SAVE MONEY WITH BIG DATA KNOW YOUR IMAGE Wednesday, April 17, 13
  • 41. SAVE MONEY WITH BIG DATA GROW YOUR DATA Wednesday, April 17, 13
  • 42. LIVE LONG AND PROSPER Wednesday, April 17, 13
  • 43. IMAGES TAKEN EVERYWHERE ON THE INTERWEBS. ALL DIRECTLY OR INDIRECTLY COPYRIGHT BY “THE BIG THEORY” CREW OR RELATED GAME PLAYERS Wednesday, April 17, 13