SlideShare a Scribd company logo
1 of 8
Big Data
in 
Business Innovation
Rajendra Akerkar
Vestlandsforsking, Norway
R. Akerkar

2
Big data value
• Total 
coverage

Volume

R. Akerkar

Velocity
• Real‐time 
insights

• Self‐
reinforcing 

diversity

Variety

3
Big Data to Insight

R. Akerkar

4
Data can turn into 
valuable input
• Data-to-Information is the main source of big data value
for business models where information is the core source
of value.
o The data is “mined” for valuable information and the value is created the
moment the search succeeds.

• Data-to-Product/Process effect occurs when insights
from data analysis need to be implemented in the
physical world to bring value to an enterprise.
• Data-to-Management steadily brings data based
information into a company’s decision making process
R. Akerkar

5
Open data

R. Akerkar

6
Data‐driven
management

R. Akerkar

7
DATA

Large volume of deep,
longitudinal data covering a 
diverse population.
Large public investments
in genomics, biobanks
and integration of
disease registries.

INSIGHT

Deep research
Expertise.
Specialised health
data analytics 
centres.

VALUE

R. Akerkar

Large scale trials for diverse populations
Models for commissioning
Early stratification
Pharmacovigilance

8

More Related Content

What's hot

Business Insight 2014 - Data insights flyer
Business Insight 2014 - Data insights flyerBusiness Insight 2014 - Data insights flyer
Business Insight 2014 - Data insights flyer
Microsoft
 
Tools for Unstructured Data Analytics
Tools for Unstructured Data AnalyticsTools for Unstructured Data Analytics
Tools for Unstructured Data Analytics
Ravi Teja
 

What's hot (16)

Sqrrl Enterprise: Integrate, Explore, Analyze
Sqrrl Enterprise: Integrate, Explore, AnalyzeSqrrl Enterprise: Integrate, Explore, Analyze
Sqrrl Enterprise: Integrate, Explore, Analyze
 
6 levels of big data analytics applications
6 levels of big data analytics applications6 levels of big data analytics applications
6 levels of big data analytics applications
 
Data Analytics
Data AnalyticsData Analytics
Data Analytics
 
Where's the Brain in Analytics
Where's the Brain in AnalyticsWhere's the Brain in Analytics
Where's the Brain in Analytics
 
The Linked Data Advantage
The Linked Data AdvantageThe Linked Data Advantage
The Linked Data Advantage
 
Business Insight 2014 - Data insights flyer
Business Insight 2014 - Data insights flyerBusiness Insight 2014 - Data insights flyer
Business Insight 2014 - Data insights flyer
 
Introduction to Big Data & Hadoop
Introduction to Big Data & Hadoop Introduction to Big Data & Hadoop
Introduction to Big Data & Hadoop
 
DataScava
DataScavaDataScava
DataScava
 
Abstract
AbstractAbstract
Abstract
 
Data analytics
Data analyticsData analytics
Data analytics
 
Data science a glance
Data science a glanceData science a glance
Data science a glance
 
Sapiens data science and snowflake data warehouse
Sapiens data science and snowflake data warehouseSapiens data science and snowflake data warehouse
Sapiens data science and snowflake data warehouse
 
From Data to Visualization: Emerging Tools for Research / Jan Johansson
From Data to Visualization: Emerging Tools for Research / Jan JohanssonFrom Data to Visualization: Emerging Tools for Research / Jan Johansson
From Data to Visualization: Emerging Tools for Research / Jan Johansson
 
Tools for Unstructured Data Analytics
Tools for Unstructured Data AnalyticsTools for Unstructured Data Analytics
Tools for Unstructured Data Analytics
 
Big data and data mining
Big data and data miningBig data and data mining
Big data and data mining
 
Giroux Insurance Analytics
Giroux Insurance AnalyticsGiroux Insurance Analytics
Giroux Insurance Analytics
 

Viewers also liked

Linked open data
Linked open dataLinked open data
Linked open data
R A Akerkar
 
Statistical Preliminaries
Statistical PreliminariesStatistical Preliminaries
Statistical Preliminaries
R A Akerkar
 
Knowledge Organization Systems
Knowledge Organization SystemsKnowledge Organization Systems
Knowledge Organization Systems
R A Akerkar
 
Description logics
Description logicsDescription logics
Description logics
R A Akerkar
 
Semantic Markup
Semantic Markup Semantic Markup
Semantic Markup
R A Akerkar
 
Big data: analyzing large data sets
Big data: analyzing large data setsBig data: analyzing large data sets
Big data: analyzing large data sets
R A Akerkar
 
Intelligent natural language system
Intelligent natural language systemIntelligent natural language system
Intelligent natural language system
R A Akerkar
 
Unified Modelling Language
Unified Modelling LanguageUnified Modelling Language
Unified Modelling Language
R A Akerkar
 
Semi structure data extraction
Semi structure data extractionSemi structure data extraction
Semi structure data extraction
R A Akerkar
 
Rational Unified Process for User Interface Design
Rational Unified Process for User Interface DesignRational Unified Process for User Interface Design
Rational Unified Process for User Interface Design
R A Akerkar
 

Viewers also liked (20)

Linked open data
Linked open dataLinked open data
Linked open data
 
Statistical Preliminaries
Statistical PreliminariesStatistical Preliminaries
Statistical Preliminaries
 
Knowledge Organization Systems
Knowledge Organization SystemsKnowledge Organization Systems
Knowledge Organization Systems
 
What is Big Data ?
What is Big Data ?What is Big Data ?
What is Big Data ?
 
Description logics
Description logicsDescription logics
Description logics
 
Semantic Markup
Semantic Markup Semantic Markup
Semantic Markup
 
Big data: analyzing large data sets
Big data: analyzing large data setsBig data: analyzing large data sets
Big data: analyzing large data sets
 
Intelligent natural language system
Intelligent natural language systemIntelligent natural language system
Intelligent natural language system
 
Data mining
Data miningData mining
Data mining
 
Your amazing brain assembly
Your amazing brain assemblyYour amazing brain assembly
Your amazing brain assembly
 
Link analysis
Link analysisLink analysis
Link analysis
 
Unified Modelling Language
Unified Modelling LanguageUnified Modelling Language
Unified Modelling Language
 
Semi structure data extraction
Semi structure data extractionSemi structure data extraction
Semi structure data extraction
 
SOFTCOMPUTERING TECHNICS - Unit
SOFTCOMPUTERING TECHNICS - UnitSOFTCOMPUTERING TECHNICS - Unit
SOFTCOMPUTERING TECHNICS - Unit
 
Rational Unified Process for User Interface Design
Rational Unified Process for User Interface DesignRational Unified Process for User Interface Design
Rational Unified Process for User Interface Design
 
Neural Networks
Neural NetworksNeural Networks
Neural Networks
 
artificial intelligence
artificial intelligenceartificial intelligence
artificial intelligence
 
Dr. kiani artificial neural network lecture 1
Dr. kiani artificial neural network lecture 1Dr. kiani artificial neural network lecture 1
Dr. kiani artificial neural network lecture 1
 
Introduction to Neural networks (under graduate course) Lecture 3 of 9
Introduction to Neural networks (under graduate course) Lecture 3 of 9Introduction to Neural networks (under graduate course) Lecture 3 of 9
Introduction to Neural networks (under graduate course) Lecture 3 of 9
 
Data Mining
Data MiningData Mining
Data Mining
 

Similar to Big data in Business Innovation

ELSS use cases and strategy
ELSS use cases and strategyELSS use cases and strategy
ELSS use cases and strategy
Anton Yuryev
 
Statistical Services
Statistical ServicesStatistical Services
Statistical Services
crr99999
 
Data Management Services
Data Management ServicesData Management Services
Data Management Services
crr99999
 

Similar to Big data in Business Innovation (20)

Ed acker cognitive computing resume
Ed acker cognitive computing resumeEd acker cognitive computing resume
Ed acker cognitive computing resume
 
Big data analystics
Big data analysticsBig data analystics
Big data analystics
 
Big data's impact on healthcare
Big data's impact on healthcareBig data's impact on healthcare
Big data's impact on healthcare
 
Big data ppt
Big data pptBig data ppt
Big data ppt
 
Noise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in DataNoise to Signal - The Biggest Problem in Data
Noise to Signal - The Biggest Problem in Data
 
Big Data Expo 2015 - Trillium software Big Data and the Data Quality
Big Data Expo 2015 - Trillium software Big Data and the Data QualityBig Data Expo 2015 - Trillium software Big Data and the Data Quality
Big Data Expo 2015 - Trillium software Big Data and the Data Quality
 
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
Democratizing Data Science: Balancing Flexibility and Usability for Scientifi...
 
Workflow-Driven Geoinformatics Applications and Training in the Big Data Era
Workflow-Driven Geoinformatics Applications and Training in the Big Data EraWorkflow-Driven Geoinformatics Applications and Training in the Big Data Era
Workflow-Driven Geoinformatics Applications and Training in the Big Data Era
 
Cave health
Cave health Cave health
Cave health
 
BigData in Health Care Systems with IOT
BigData in Health Care Systems with IOTBigData in Health Care Systems with IOT
BigData in Health Care Systems with IOT
 
5306_PrathamBasava_bigdata.pptx
5306_PrathamBasava_bigdata.pptx5306_PrathamBasava_bigdata.pptx
5306_PrathamBasava_bigdata.pptx
 
ELSS use cases and strategy
ELSS use cases and strategyELSS use cases and strategy
ELSS use cases and strategy
 
Statistical Services
Statistical ServicesStatistical Services
Statistical Services
 
J mc callumbig datapsp2013
J mc callumbig datapsp2013J mc callumbig datapsp2013
J mc callumbig datapsp2013
 
Fair webinar, Ted slater: progress towards commercial fair data products and ...
Fair webinar, Ted slater: progress towards commercial fair data products and ...Fair webinar, Ted slater: progress towards commercial fair data products and ...
Fair webinar, Ted slater: progress towards commercial fair data products and ...
 
Data Management Services
Data Management ServicesData Management Services
Data Management Services
 
Bio-IT 2014: 'Capturing Value from Collaborative Research with the IDBS Trans...
Bio-IT 2014: 'Capturing Value from Collaborative Research with the IDBS Trans...Bio-IT 2014: 'Capturing Value from Collaborative Research with the IDBS Trans...
Bio-IT 2014: 'Capturing Value from Collaborative Research with the IDBS Trans...
 
Considerations and challenges in building an end to-end microbiome workflow
Considerations and challenges in building an end to-end microbiome workflowConsiderations and challenges in building an end to-end microbiome workflow
Considerations and challenges in building an end to-end microbiome workflow
 
000 introduction to big data analytics 2021
000   introduction to big data analytics  2021000   introduction to big data analytics  2021
000 introduction to big data analytics 2021
 
Data Virtualization Modernizes Biobanking
Data Virtualization Modernizes BiobankingData Virtualization Modernizes Biobanking
Data Virtualization Modernizes Biobanking
 

More from R A Akerkar (12)

Rajendraakerkar lemoproject
Rajendraakerkar lemoprojectRajendraakerkar lemoproject
Rajendraakerkar lemoproject
 
Connecting and Exploiting Big Data
Connecting and Exploiting Big DataConnecting and Exploiting Big Data
Connecting and Exploiting Big Data
 
Case Based Reasoning
Case Based ReasoningCase Based Reasoning
Case Based Reasoning
 
Statistics and Data Mining
Statistics and  Data MiningStatistics and  Data Mining
Statistics and Data Mining
 
Software project management
Software project managementSoftware project management
Software project management
 
Personalisation and Fuzzy Bayesian Nets
Personalisation and Fuzzy Bayesian NetsPersonalisation and Fuzzy Bayesian Nets
Personalisation and Fuzzy Bayesian Nets
 
Multi-agent systems
Multi-agent systemsMulti-agent systems
Multi-agent systems
 
Human machine interface
Human machine interfaceHuman machine interface
Human machine interface
 
Reasoning in Description Logics
Reasoning in Description Logics  Reasoning in Description Logics
Reasoning in Description Logics
 
Decision tree
Decision treeDecision tree
Decision tree
 
Building an Intelligent Web: Theory & Practice
Building an Intelligent Web: Theory & PracticeBuilding an Intelligent Web: Theory & Practice
Building an Intelligent Web: Theory & Practice
 
Relationship between the Semantic Web and NLP
Relationship between the Semantic Web and NLPRelationship between the Semantic Web and NLP
Relationship between the Semantic Web and NLP
 

Recently uploaded

SURVEY I created for uni project research
SURVEY I created for uni project researchSURVEY I created for uni project research
SURVEY I created for uni project research
CaitlinCummins3
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
Peter Brusilovsky
 
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdf
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdfContoh Aksi Nyata Refleksi Diri ( NUR ).pdf
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdf
cupulin
 
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MysoreMuleSoftMeetup
 

Recently uploaded (20)

FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdfFICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
FICTIONAL SALESMAN/SALESMAN SNSW 2024.pdf
 
Pharmaceutical Biotechnology VI semester.pdf
Pharmaceutical Biotechnology VI semester.pdfPharmaceutical Biotechnology VI semester.pdf
Pharmaceutical Biotechnology VI semester.pdf
 
Trauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical PrinciplesTrauma-Informed Leadership - Five Practical Principles
Trauma-Informed Leadership - Five Practical Principles
 
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdfUGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
UGC NET Paper 1 Unit 7 DATA INTERPRETATION.pdf
 
Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111Details on CBSE Compartment Exam.pptx1111
Details on CBSE Compartment Exam.pptx1111
 
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptxAnalyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
Analyzing and resolving a communication crisis in Dhaka textiles LTD.pptx
 
Mattingly "AI and Prompt Design: LLMs with NER"
Mattingly "AI and Prompt Design: LLMs with NER"Mattingly "AI and Prompt Design: LLMs with NER"
Mattingly "AI and Prompt Design: LLMs with NER"
 
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading RoomSternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
Sternal Fractures & Dislocations - EMGuidewire Radiology Reading Room
 
What is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptxWhat is 3 Way Matching Process in Odoo 17.pptx
What is 3 Way Matching Process in Odoo 17.pptx
 
Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17Model Attribute _rec_name in the Odoo 17
Model Attribute _rec_name in the Odoo 17
 
SURVEY I created for uni project research
SURVEY I created for uni project researchSURVEY I created for uni project research
SURVEY I created for uni project research
 
How to Send Pro Forma Invoice to Your Customers in Odoo 17
How to Send Pro Forma Invoice to Your Customers in Odoo 17How to Send Pro Forma Invoice to Your Customers in Odoo 17
How to Send Pro Forma Invoice to Your Customers in Odoo 17
 
SPLICE Working Group: Reusable Code Examples
SPLICE Working Group:Reusable Code ExamplesSPLICE Working Group:Reusable Code Examples
SPLICE Working Group: Reusable Code Examples
 
OSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & SystemsOSCM Unit 2_Operations Processes & Systems
OSCM Unit 2_Operations Processes & Systems
 
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...When Quality Assurance Meets Innovation in Higher Education - Report launch w...
When Quality Assurance Meets Innovation in Higher Education - Report launch w...
 
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdf
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdfContoh Aksi Nyata Refleksi Diri ( NUR ).pdf
Contoh Aksi Nyata Refleksi Diri ( NUR ).pdf
 
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
MuleSoft Integration with AWS Textract | Calling AWS Textract API |AWS - Clou...
 
VAMOS CUIDAR DO NOSSO PLANETA! .
VAMOS CUIDAR DO NOSSO PLANETA!                    .VAMOS CUIDAR DO NOSSO PLANETA!                    .
VAMOS CUIDAR DO NOSSO PLANETA! .
 
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
TỔNG HỢP HƠN 100 ĐỀ THI THỬ TỐT NGHIỆP THPT TOÁN 2024 - TỪ CÁC TRƯỜNG, TRƯỜNG...
 
8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management8 Tips for Effective Working Capital Management
8 Tips for Effective Working Capital Management
 

Big data in Business Innovation