SlideShare une entreprise Scribd logo
1  sur  13
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
HIGH PERFORMANCE ANALYTICS
THE FUTURE OF ANALYTICS IS HERE
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
Data
Analytics
Platforms
Key Dimensions GOING BIG
3Copyright © 2011, SAS Institute Inc. All rights reserved.
Finding treasures in unstructured data
like social media or survey tools
that could uncover insights
about consumer sentiment
Mine transaction databases
for data of spending patterns
that indicate a stolen card..
Leveraging historical data
to drive better insight into
decision-making
for the future
Analyze massive
amounts of data in
order to accurately
identify areas likely to
produce the most
profitable results
FORECASTING
DATA MINING
TEXT ANALYTICS
OPTIMIZATION
STATISTICS
ADVANCED ANALYTICS
INFORMATION
MANAGEMENT
Copyright © 2011, SAS Institute Inc. All rights reserved.
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
THE ANALYTICS LIFECYCLE
IDENTIFY /
FORMULATE
PROBLEM
DATA
PREPARATION
DATA
EXPLORATION
TRANSFORM
& SELECT
BUILD
MODEL
VALIDATE
MODEL
DEPLOY
MODEL
EVALUATE /
MONITOR
RESULTS
Domain Expert
Makes Decisions
Evaluates Processes and ROI
MANAGER
Model Validation
Model Deployment
Model Monitoring
Data Preparation
IT SYSTEMS /
MANAGEMENT
Data Exploration
Data Visualization
Report Creation
ANALYST
Exploratory Analysis
Descriptive Segmentation
Predictive Modeling
DATA MINER /
STATISTICIAN
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
India has become the ultimate lab
for digital identification
technology. No country has ever
tried to collect this much
information in this short a period
of time
- Tarun
Wadhwa
Data
UID Registrations as of
June 2013
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
$- $20,000 $40,000 $60,000 $80,000 $100,000
Vertica
Teradata
Greenplum
Oracle
Microsoft PDW
Hadoop
Today 2009
$-
$2
$4
$6
$8
$10
$12
$14
$16
$18
$20
2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012
COST PER GIGABYTECOST PER TERABYTE
COST OF STORAGE, MEMORY, COMPUTING
In 2000 a GB of Disk $17 today < $0.07
In 2000 a GB of Ram $1800 today < $1
In 2009 a TB of RDBMS was $70K today < $ 20K
Trends in Platforms
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
DATA VISUALIZATION
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
MINARD’S VISUAL DEPICTION
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
PATH VISUAL ANALYTICS
“Visual Analytics is the science
of analytical reasoning
supported by interactive visual
interfaces.” -- Cook 2005
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
WHAT IS SAS
VISUAL ANALYTICS
APPROACHABLE ANALYTICS BUILT RIGHT IN.
• Easy Analytics: Find Fast Answers to Your Toughest Questions.
• Any skill level – Ask toughest questions, answer with compelling visualizations
without having to learn new skills or engage IT
• Don't Just See It – Understand It with "what does it mean" pop-ups, explained in
everyday business terms that all users can understand
• Create calculated measures can and add to any visualization.
• Easy-to-use capabilities that take the complexity out of forecasting –
• Forecasts can be generated on the fly with most appropriate forecasting algorithm for specific
data is automatically selected.
• View can be saved as report packages to share with other advanced data
exploration users in Web reports, images or SAS mobile apps.
Next, what SAS VA can do for you…
Copyright © 2012, SAS Institute Inc. All rights reserv ed.
DEMO
• http://data.gov.in/ -- Production 2001-2010
•
• http://agmarknet.nic.in/ -- Onion pricing
•
• http://www.dogr.res.in/ ( Production data for 2011-12
and 2012-13)

Contenu connexe

Tendances

Big Data Analytics for Healthcare
Big Data Analytics for HealthcareBig Data Analytics for Healthcare
Big Data Analytics for HealthcareChandan Reddy
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profilingShailja Khurana
 
Data Science Introduction
Data Science IntroductionData Science Introduction
Data Science IntroductionGang Tao
 
Designing An Enterprise Data Fabric
Designing An Enterprise Data FabricDesigning An Enterprise Data Fabric
Designing An Enterprise Data FabricAlan McSweeney
 
Lecture1 introduction to big data
Lecture1 introduction to big dataLecture1 introduction to big data
Lecture1 introduction to big datahktripathy
 
Building a Winning Roadmap for Analytics
Building a Winning Roadmap for AnalyticsBuilding a Winning Roadmap for Analytics
Building a Winning Roadmap for AnalyticsIronside
 
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data WarehousesGathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data WarehousesDavid Walker
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDATAVERSITY
 
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, ClassificationData mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, ClassificationDr. Abdul Ahad Abro
 
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Molly Alexander
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data ScienceSrishti44
 
What exactly is Business Intelligence?
What exactly is Business Intelligence?What exactly is Business Intelligence?
What exactly is Business Intelligence?James Serra
 
Webinar: Real-time Business Intelligence
Webinar: Real-time Business IntelligenceWebinar: Real-time Business Intelligence
Webinar: Real-time Business IntelligenceSpagoWorld
 
Predictive Analytics - An Overview
Predictive Analytics - An OverviewPredictive Analytics - An Overview
Predictive Analytics - An OverviewMachinePulse
 
Data Quality
Data QualityData Quality
Data Qualityjerdeb
 
Lecture2 big data life cycle
Lecture2 big data life cycleLecture2 big data life cycle
Lecture2 big data life cyclehktripathy
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachDATAVERSITY
 

Tendances (20)

Big Data Analytics for Healthcare
Big Data Analytics for HealthcareBig Data Analytics for Healthcare
Big Data Analytics for Healthcare
 
Data quality and data profiling
Data quality and data profilingData quality and data profiling
Data quality and data profiling
 
Business Intelligence concepts
Business Intelligence conceptsBusiness Intelligence concepts
Business Intelligence concepts
 
Data Science Introduction
Data Science IntroductionData Science Introduction
Data Science Introduction
 
Business Intelligence
Business IntelligenceBusiness Intelligence
Business Intelligence
 
Designing An Enterprise Data Fabric
Designing An Enterprise Data FabricDesigning An Enterprise Data Fabric
Designing An Enterprise Data Fabric
 
Lecture1 introduction to big data
Lecture1 introduction to big dataLecture1 introduction to big data
Lecture1 introduction to big data
 
Building a Winning Roadmap for Analytics
Building a Winning Roadmap for AnalyticsBuilding a Winning Roadmap for Analytics
Building a Winning Roadmap for Analytics
 
Data Quality
Data QualityData Quality
Data Quality
 
Gathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data WarehousesGathering Business Requirements for Data Warehouses
Gathering Business Requirements for Data Warehouses
 
DAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best PracticesDAS Slides: Data Quality Best Practices
DAS Slides: Data Quality Best Practices
 
Data mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, ClassificationData mining , Knowledge Discovery Process, Classification
Data mining , Knowledge Discovery Process, Classification
 
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...
Towards the Next Generation Financial Crimes Platform - How Data, Analytics, ...
 
Introduction to Data Science
Introduction to Data ScienceIntroduction to Data Science
Introduction to Data Science
 
What exactly is Business Intelligence?
What exactly is Business Intelligence?What exactly is Business Intelligence?
What exactly is Business Intelligence?
 
Webinar: Real-time Business Intelligence
Webinar: Real-time Business IntelligenceWebinar: Real-time Business Intelligence
Webinar: Real-time Business Intelligence
 
Predictive Analytics - An Overview
Predictive Analytics - An OverviewPredictive Analytics - An Overview
Predictive Analytics - An Overview
 
Data Quality
Data QualityData Quality
Data Quality
 
Lecture2 big data life cycle
Lecture2 big data life cycleLecture2 big data life cycle
Lecture2 big data life cycle
 
Business Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected ApproachBusiness Intelligence & Data Analytics– An Architected Approach
Business Intelligence & Data Analytics– An Architected Approach
 

En vedette

Big data a possible game changer for e-governance
Big data   a possible game changer for e-governanceBig data   a possible game changer for e-governance
Big data a possible game changer for e-governanceSomenath Nag
 
Big data challenges for e governance
Big data challenges for e governanceBig data challenges for e governance
Big data challenges for e governancebharati k
 
Data science and the future of statistics
Data science and the future of statisticsData science and the future of statistics
Data science and the future of statisticsPiet J.H. Daas
 
Social Big Data in Government
Social Big Data in GovernmentSocial Big Data in Government
Social Big Data in GovernmentAdegboyega Ojo
 
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHR
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHRBig Data and Predictive Analytics Sept 2014 Helsinki #AgileHR
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHRAki Kakko
 
SAS and Cloudera – Analytics at Scale
SAS and Cloudera – Analytics at ScaleSAS and Cloudera – Analytics at Scale
SAS and Cloudera – Analytics at ScaleCloudera, Inc.
 
SAS Modernization architectures - Big Data Analytics
SAS Modernization architectures - Big Data AnalyticsSAS Modernization architectures - Big Data Analytics
SAS Modernization architectures - Big Data AnalyticsDeepak Ramanathan
 
Big Data in Manufacturing Final PPT
Big Data in Manufacturing Final PPTBig Data in Manufacturing Final PPT
Big Data in Manufacturing Final PPTNikhil Atkuri
 
Best Practices for Big Data Analytics with Machine Learning by Datameer
Best Practices for Big Data Analytics with Machine Learning by DatameerBest Practices for Big Data Analytics with Machine Learning by Datameer
Best Practices for Big Data Analytics with Machine Learning by DatameerDatameer
 
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
Predictive Analytics and Machine Learning…with SAS and Apache HadoopPredictive Analytics and Machine Learning…with SAS and Apache Hadoop
Predictive Analytics and Machine Learning …with SAS and Apache HadoopHortonworks
 
태블로 소프트웨어(Tableau Software) 소개
태블로 소프트웨어(Tableau Software) 소개태블로 소프트웨어(Tableau Software) 소개
태블로 소프트웨어(Tableau Software) 소개HT Kim
 
Predictive Analytics: It's The Intervention That Matters
Predictive Analytics: It's The Intervention That MattersPredictive Analytics: It's The Intervention That Matters
Predictive Analytics: It's The Intervention That MattersHealth Catalyst
 
Hadoop and Spark for the SAS Developer
Hadoop and Spark for the SAS DeveloperHadoop and Spark for the SAS Developer
Hadoop and Spark for the SAS DeveloperDataWorks Summit
 
Why your Spark job is failing
Why your Spark job is failingWhy your Spark job is failing
Why your Spark job is failingSandy Ryza
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesJames Serra
 
The Efficient Big data Platform - IDC 360, Copenhagen
The Efficient Big data Platform - IDC 360, CopenhagenThe Efficient Big data Platform - IDC 360, Copenhagen
The Efficient Big data Platform - IDC 360, CopenhagenPetri Pekkarinen
 
Why your Spark Job is Failing
Why your Spark Job is FailingWhy your Spark Job is Failing
Why your Spark Job is FailingDataWorks Summit
 

En vedette (19)

Big data a possible game changer for e-governance
Big data   a possible game changer for e-governanceBig data   a possible game changer for e-governance
Big data a possible game changer for e-governance
 
Big data challenges for e governance
Big data challenges for e governanceBig data challenges for e governance
Big data challenges for e governance
 
Data science and the future of statistics
Data science and the future of statisticsData science and the future of statistics
Data science and the future of statistics
 
Social Big Data in Government
Social Big Data in GovernmentSocial Big Data in Government
Social Big Data in Government
 
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHR
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHRBig Data and Predictive Analytics Sept 2014 Helsinki #AgileHR
Big Data and Predictive Analytics Sept 2014 Helsinki #AgileHR
 
SAS and Cloudera – Analytics at Scale
SAS and Cloudera – Analytics at ScaleSAS and Cloudera – Analytics at Scale
SAS and Cloudera – Analytics at Scale
 
SAS Modernization architectures - Big Data Analytics
SAS Modernization architectures - Big Data AnalyticsSAS Modernization architectures - Big Data Analytics
SAS Modernization architectures - Big Data Analytics
 
Big Data in Manufacturing Final PPT
Big Data in Manufacturing Final PPTBig Data in Manufacturing Final PPT
Big Data in Manufacturing Final PPT
 
Best Practices for Big Data Analytics with Machine Learning by Datameer
Best Practices for Big Data Analytics with Machine Learning by DatameerBest Practices for Big Data Analytics with Machine Learning by Datameer
Best Practices for Big Data Analytics with Machine Learning by Datameer
 
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
Predictive Analytics and Machine Learning…with SAS and Apache HadoopPredictive Analytics and Machine Learning…with SAS and Apache Hadoop
Predictive Analytics and Machine Learning …with SAS and Apache Hadoop
 
태블로 소프트웨어(Tableau Software) 소개
태블로 소프트웨어(Tableau Software) 소개태블로 소프트웨어(Tableau Software) 소개
태블로 소프트웨어(Tableau Software) 소개
 
Predictive Analytics: It's The Intervention That Matters
Predictive Analytics: It's The Intervention That MattersPredictive Analytics: It's The Intervention That Matters
Predictive Analytics: It's The Intervention That Matters
 
Hadoop and Spark for the SAS Developer
Hadoop and Spark for the SAS DeveloperHadoop and Spark for the SAS Developer
Hadoop and Spark for the SAS Developer
 
BIG DATA and USE CASES
BIG DATA and USE CASESBIG DATA and USE CASES
BIG DATA and USE CASES
 
Why your Spark job is failing
Why your Spark job is failingWhy your Spark job is failing
Why your Spark job is failing
 
Big Data: It’s all about the Use Cases
Big Data: It’s all about the Use CasesBig Data: It’s all about the Use Cases
Big Data: It’s all about the Use Cases
 
The Efficient Big data Platform - IDC 360, Copenhagen
The Efficient Big data Platform - IDC 360, CopenhagenThe Efficient Big data Platform - IDC 360, Copenhagen
The Efficient Big data Platform - IDC 360, Copenhagen
 
Why your Spark Job is Failing
Why your Spark Job is FailingWhy your Spark Job is Failing
Why your Spark Job is Failing
 
Big data ppt
Big  data pptBig  data ppt
Big data ppt
 

Similaire à Big Data Analytics in Government

Visualisation and forecasting on IT capacity planning data
Visualisation and forecasting on IT capacity planning dataVisualisation and forecasting on IT capacity planning data
Visualisation and forecasting on IT capacity planning dataAndrew Gadsby
 
Analyze Your Data, Transform Your Business
Analyze Your Data, Transform Your BusinessAnalyze Your Data, Transform Your Business
Analyze Your Data, Transform Your BusinessDATAVERSITY
 
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision makingDay-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision makingIPPAI
 
Why Modern Systems Require a New Approach to Observability
Why Modern Systems Require a New Approach to ObservabilityWhy Modern Systems Require a New Approach to Observability
Why Modern Systems Require a New Approach to ObservabilityEnterprise Management Associates
 
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...Enterprise Management Associates
 
Spme general presentation cdiab
Spme general presentation cdiabSpme general presentation cdiab
Spme general presentation cdiabCharbel Diab
 
How to sustain analytics capabilities in an organization
How to sustain analytics capabilities in an organizationHow to sustain analytics capabilities in an organization
How to sustain analytics capabilities in an organizationSAS Canada
 
Statistical Discovery for Consumer and Marketing Research
Statistical Discovery for Consumer and Marketing ResearchStatistical Discovery for Consumer and Marketing Research
Statistical Discovery for Consumer and Marketing ResearchJMP software from SAS
 
5 big data at work linking discovery and bi to improve business outcomes from...
5 big data at work linking discovery and bi to improve business outcomes from...5 big data at work linking discovery and bi to improve business outcomes from...
5 big data at work linking discovery and bi to improve business outcomes from...Dr. Wilfred Lin (Ph.D.)
 
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain Pipeline
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain PipelineThe Zen of DataOps – AWS Lake Formation and the Data Supply Chain Pipeline
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain PipelineAmazon Web Services
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseJeff Kelly
 
Mc ginley oracle scorecard & strategy management
Mc ginley   oracle scorecard & strategy managementMc ginley   oracle scorecard & strategy management
Mc ginley oracle scorecard & strategy managementmalliyadava
 
AIOps Deployments in the Real World: Bringing Operations and Security Together
AIOps Deployments in the Real World: Bringing Operations and Security Together AIOps Deployments in the Real World: Bringing Operations and Security Together
AIOps Deployments in the Real World: Bringing Operations and Security Together Enterprise Management Associates
 
Data Visualization Trends - Next Steps for Tableau
Data Visualization Trends - Next Steps for TableauData Visualization Trends - Next Steps for Tableau
Data Visualization Trends - Next Steps for TableauArunima Gupta
 
Four Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics StrategyFour Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics StrategyArcadia Data
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalHarvinder Atwal
 

Similaire à Big Data Analytics in Government (20)

Visualisation and forecasting on IT capacity planning data
Visualisation and forecasting on IT capacity planning dataVisualisation and forecasting on IT capacity planning data
Visualisation and forecasting on IT capacity planning data
 
Business Visualization: Dashboard & Storyboarding
Business Visualization: Dashboard & StoryboardingBusiness Visualization: Dashboard & Storyboarding
Business Visualization: Dashboard & Storyboarding
 
Analyze Your Data, Transform Your Business
Analyze Your Data, Transform Your BusinessAnalyze Your Data, Transform Your Business
Analyze Your Data, Transform Your Business
 
Day-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision makingDay-3, Mr. Satyajit Dwivedi analytics for decision making
Day-3, Mr. Satyajit Dwivedi analytics for decision making
 
Why Modern Systems Require a New Approach to Observability
Why Modern Systems Require a New Approach to ObservabilityWhy Modern Systems Require a New Approach to Observability
Why Modern Systems Require a New Approach to Observability
 
SAS Visual Analytics Overview
SAS Visual Analytics OverviewSAS Visual Analytics Overview
SAS Visual Analytics Overview
 
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...
6 Principles of Modern Change Data Capture: How to Build Fast, Agile, Reliabl...
 
Spme general presentation cdiab
Spme general presentation cdiabSpme general presentation cdiab
Spme general presentation cdiab
 
Just ask Watson Seminar
Just ask Watson SeminarJust ask Watson Seminar
Just ask Watson Seminar
 
How to sustain analytics capabilities in an organization
How to sustain analytics capabilities in an organizationHow to sustain analytics capabilities in an organization
How to sustain analytics capabilities in an organization
 
Statistical Discovery for Consumer and Marketing Research
Statistical Discovery for Consumer and Marketing ResearchStatistical Discovery for Consumer and Marketing Research
Statistical Discovery for Consumer and Marketing Research
 
5 big data at work linking discovery and bi to improve business outcomes from...
5 big data at work linking discovery and bi to improve business outcomes from...5 big data at work linking discovery and bi to improve business outcomes from...
5 big data at work linking discovery and bi to improve business outcomes from...
 
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain Pipeline
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain PipelineThe Zen of DataOps – AWS Lake Formation and the Data Supply Chain Pipeline
The Zen of DataOps – AWS Lake Formation and the Data Supply Chain Pipeline
 
Create your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouseCreate your Big Data vision and Hadoop-ify your data warehouse
Create your Big Data vision and Hadoop-ify your data warehouse
 
Mc ginley oracle scorecard & strategy management
Mc ginley   oracle scorecard & strategy managementMc ginley   oracle scorecard & strategy management
Mc ginley oracle scorecard & strategy management
 
AIOps Deployments in the Real World: Bringing Operations and Security Together
AIOps Deployments in the Real World: Bringing Operations and Security Together AIOps Deployments in the Real World: Bringing Operations and Security Together
AIOps Deployments in the Real World: Bringing Operations and Security Together
 
Data Visualization Trends - Next Steps for Tableau
Data Visualization Trends - Next Steps for TableauData Visualization Trends - Next Steps for Tableau
Data Visualization Trends - Next Steps for Tableau
 
Resume_ManojSrikanta
Resume_ManojSrikantaResume_ManojSrikanta
Resume_ManojSrikanta
 
Four Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics StrategyFour Key Considerations for your Big Data Analytics Strategy
Four Key Considerations for your Big Data Analytics Strategy
 
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder AtwalDataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
DataOps - Big Data and AI World London - March 2020 - Harvinder Atwal
 

Dernier

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
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebUiPathCommunity
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsPixlogix Infotech
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsMiki Katsuragi
 
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
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024Lorenzo Miniero
 
"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
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupFlorian Wilhelm
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenHervé Boutemy
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity PlanDatabarracks
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLScyllaDB
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Mark Simos
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsSergiu Bodiu
 
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
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Manik S Magar
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DaySri Ambati
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxLoriGlavin3
 
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
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfAlex Barbosa Coqueiro
 

Dernier (20)

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
 
Dev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio WebDev Dives: Streamline document processing with UiPath Studio Web
Dev Dives: Streamline document processing with UiPath Studio Web
 
The Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and ConsThe Ultimate Guide to Choosing WordPress Pros and Cons
The Ultimate Guide to Choosing WordPress Pros and Cons
 
Vertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering TipsVertex AI Gemini Prompt Engineering Tips
Vertex AI Gemini Prompt Engineering Tips
 
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
 
SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 2024SIP trunking in Janus @ Kamailio World 2024
SIP trunking in Janus @ Kamailio World 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...
 
Streamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project SetupStreamlining Python Development: A Guide to a Modern Project Setup
Streamlining Python Development: A Guide to a Modern Project Setup
 
DevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache MavenDevoxxFR 2024 Reproducible Builds with Apache Maven
DevoxxFR 2024 Reproducible Builds with Apache Maven
 
How to write a Business Continuity Plan
How to write a Business Continuity PlanHow to write a Business Continuity Plan
How to write a Business Continuity Plan
 
Developer Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQLDeveloper Data Modeling Mistakes: From Postgres to NoSQL
Developer Data Modeling Mistakes: From Postgres to NoSQL
 
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
Tampa BSides - Chef's Tour of Microsoft Security Adoption Framework (SAF)
 
DevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platformsDevEX - reference for building teams, processes, and platforms
DevEX - reference for building teams, processes, and platforms
 
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
 
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
 
Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!Anypoint Exchange: It’s Not Just a Repo!
Anypoint Exchange: It’s Not Just a Repo!
 
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo DayH2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
H2O.ai CEO/Founder: Sri Ambati Keynote at Wells Fargo Day
 
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptxMerck Moving Beyond Passwords: FIDO Paris Seminar.pptx
Merck Moving Beyond Passwords: FIDO Paris Seminar.pptx
 
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
 
Unraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdfUnraveling Multimodality with Large Language Models.pdf
Unraveling Multimodality with Large Language Models.pdf
 

Big Data Analytics in Government

  • 1. Copyright © 2012, SAS Institute Inc. All rights reserv ed. HIGH PERFORMANCE ANALYTICS THE FUTURE OF ANALYTICS IS HERE
  • 2. Copyright © 2012, SAS Institute Inc. All rights reserv ed. Data Analytics Platforms Key Dimensions GOING BIG
  • 3. 3Copyright © 2011, SAS Institute Inc. All rights reserved. Finding treasures in unstructured data like social media or survey tools that could uncover insights about consumer sentiment Mine transaction databases for data of spending patterns that indicate a stolen card.. Leveraging historical data to drive better insight into decision-making for the future Analyze massive amounts of data in order to accurately identify areas likely to produce the most profitable results FORECASTING DATA MINING TEXT ANALYTICS OPTIMIZATION STATISTICS ADVANCED ANALYTICS INFORMATION MANAGEMENT Copyright © 2011, SAS Institute Inc. All rights reserved.
  • 4. Copyright © 2012, SAS Institute Inc. All rights reserv ed. THE ANALYTICS LIFECYCLE IDENTIFY / FORMULATE PROBLEM DATA PREPARATION DATA EXPLORATION TRANSFORM & SELECT BUILD MODEL VALIDATE MODEL DEPLOY MODEL EVALUATE / MONITOR RESULTS Domain Expert Makes Decisions Evaluates Processes and ROI MANAGER Model Validation Model Deployment Model Monitoring Data Preparation IT SYSTEMS / MANAGEMENT Data Exploration Data Visualization Report Creation ANALYST Exploratory Analysis Descriptive Segmentation Predictive Modeling DATA MINER / STATISTICIAN
  • 5. Copyright © 2012, SAS Institute Inc. All rights reserv ed. India has become the ultimate lab for digital identification technology. No country has ever tried to collect this much information in this short a period of time - Tarun Wadhwa Data UID Registrations as of June 2013
  • 6. Copyright © 2012, SAS Institute Inc. All rights reserv ed.
  • 7. Copyright © 2012, SAS Institute Inc. All rights reserv ed. $- $20,000 $40,000 $60,000 $80,000 $100,000 Vertica Teradata Greenplum Oracle Microsoft PDW Hadoop Today 2009 $- $2 $4 $6 $8 $10 $12 $14 $16 $18 $20 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 2012 COST PER GIGABYTECOST PER TERABYTE COST OF STORAGE, MEMORY, COMPUTING In 2000 a GB of Disk $17 today < $0.07 In 2000 a GB of Ram $1800 today < $1 In 2009 a TB of RDBMS was $70K today < $ 20K Trends in Platforms
  • 8. Copyright © 2012, SAS Institute Inc. All rights reserv ed.
  • 9. Copyright © 2012, SAS Institute Inc. All rights reserv ed. DATA VISUALIZATION
  • 10. Copyright © 2012, SAS Institute Inc. All rights reserv ed. MINARD’S VISUAL DEPICTION
  • 11. Copyright © 2012, SAS Institute Inc. All rights reserv ed. PATH VISUAL ANALYTICS “Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces.” -- Cook 2005
  • 12. Copyright © 2012, SAS Institute Inc. All rights reserv ed. WHAT IS SAS VISUAL ANALYTICS APPROACHABLE ANALYTICS BUILT RIGHT IN. • Easy Analytics: Find Fast Answers to Your Toughest Questions. • Any skill level – Ask toughest questions, answer with compelling visualizations without having to learn new skills or engage IT • Don't Just See It – Understand It with "what does it mean" pop-ups, explained in everyday business terms that all users can understand • Create calculated measures can and add to any visualization. • Easy-to-use capabilities that take the complexity out of forecasting – • Forecasts can be generated on the fly with most appropriate forecasting algorithm for specific data is automatically selected. • View can be saved as report packages to share with other advanced data exploration users in Web reports, images or SAS mobile apps. Next, what SAS VA can do for you…
  • 13. Copyright © 2012, SAS Institute Inc. All rights reserv ed. DEMO • http://data.gov.in/ -- Production 2001-2010 • • http://agmarknet.nic.in/ -- Onion pricing • • http://www.dogr.res.in/ ( Production data for 2011-12 and 2012-13)

Notes de l'éditeur

  1. 1.0 Fundamental set or types of Analytics – which are core to our business and our analytical applications2.0 Customers use a combination of analytical techniques – for example data mining and text mining.3.0 On the front-end Data Management is important because end users spend lot of time and effort in preparing data for analytics.4.0 On the downstream-end, sharing of analytical insights through easy-to-use visualization/BI tools is important. 5.0 Integrated set of components
  2. Use all the entire suite together? Adding our highly optimized advanced analytics to the process can help you generate answers to questions you never thought you could ask. (Note: at this point you should tie back to the “so what if you could” story you started before.Our suite allows an organization to move to “now you can”!With solid Information Management principals in place, each gear can independently make the decision circle move…but they can and should all be put together too.
  3. 1977 TukeyExploratory Data Analysis1996 ShneidernamInformation Visualization Seeking Mantra1996 Fayyad KDD Pipeline 2009 KeimVisual Analytics Mantra1977 Tukey - Exploratory Data Analysis “practitioners are encouraged to visually examine their data with the assistance of summarizations and descriptive statistics “Shneidernam -Information Visualization Seeking Mantra Overview first, zoom and filter, then details on demand 1996 Fayyad - Knowledge Discovery in Databases (KDD) pipeline Selection  Preprocessing  Transformation  Data mining  Interpretation 2005 Cook defines Visual Analytics - “Visual Analytics is the science of analytical reasoning supported by interactive visual interfaces.” 2009 Keim – Visual Analytics Mantra