SlideShare a Scribd company logo
1 of 15
 Have you ever developed a customer lifetime value (CLTV)
measure?
 Have you had a “next best offer” or product recommendation
capability?
 Have you made a forecast of next quarter’s sales?
 No one has the ability to capture and
analyze data from the future.
However, there is a way to predict the
future using data from the past. It’s
called predictive analytics, and
organizations do it every day.
 Above are prime
examples of
companies using it
everyday!
It is normally done with a lot of
past data, a little statistical
wizardry, and some important
assumptions.
 If you have multiple channels or customer
touchpoints, you need to make sure that they
capture data on customer purchases in the
same way your previous channels did.
All in all, it’s a fairly tough job to create a
single customer data warehouse with unique
customer IDs on everyone.
 The analyst performs a regression analysis
to see just how correlated each variable is!
 Basically-the degree to which each variable
affects the purchase behavior—to create a
score predicting the likelihood of the
purchase.
 By understanding a few basics, you will
feel more comfortable working with and
communicating with others in your
organization about the results and
recommendations from predictive analytics
 Managers should always ask analysts what
the key assumptions are, and what would
have to happen for them to no longer be
valid.
 They should continually monitor the world
to see if key factors involved in
assumptions might have changed over
time.
 Can you tell me something about the
source of data you used in your
analysis?
Are you sure the sample data are
representative of the population?
Are there any outliers in your data
distribution? How did they affect the
results?
What assumptions are behind your
analysis?
Are there any conditions that would
make your assumptions invalid?
Gather the right data + do the right
type of statistical model + be careful
of our assumptions=
SUCCESS!
A predictive analytics primer

More Related Content

What's hot

What people analytics can't capture
What people analytics can't captureWhat people analytics can't capture
What people analytics can't captureSushant Kumar
 
A Predictive Analytics Prime
A Predictive Analytics PrimeA Predictive Analytics Prime
A Predictive Analytics PrimeSrijani Das
 
Predictive Analytics: An Executive Primer
Predictive Analytics: An Executive PrimerPredictive Analytics: An Executive Primer
Predictive Analytics: An Executive PrimerRyan Withop
 
Predictive analytics in the world of big data
Predictive analytics in the world of big dataPredictive analytics in the world of big data
Predictive analytics in the world of big dataVijayMohan Vasu
 
Marketers and Big Data
Marketers and Big DataMarketers and Big Data
Marketers and Big DataTanya Gupta
 
What People Analytics Can’t Capture
What People Analytics Can’t CaptureWhat People Analytics Can’t Capture
What People Analytics Can’t CaptureSoumyadeep Sengupta
 
Advanced Analysis Presentation
Advanced Analysis PresentationAdvanced Analysis Presentation
Advanced Analysis PresentationSemphonic
 
Introduction to analytics
Introduction to analyticsIntroduction to analytics
Introduction to analyticsSkillspire LLC
 
APT UC Keynote Presentation - Jayson Tipp
APT UC Keynote Presentation - Jayson TippAPT UC Keynote Presentation - Jayson Tipp
APT UC Keynote Presentation - Jayson TippJayson Tipp
 
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...Analysis of the article by Thoman C Redman on 'How to start thinking like a D...
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...Vaibhav Srivastav
 
Predictive Analytics
Predictive AnalyticsPredictive Analytics
Predictive AnalyticsRichard Jones
 
Data and the Changing Role of the Tech Savvy CFO
Data and the Changing Role of the Tech Savvy CFOData and the Changing Role of the Tech Savvy CFO
Data and the Changing Role of the Tech Savvy CFODamian R. Mingle, MBA
 
Marketers flunk the big data test
Marketers flunk the big data testMarketers flunk the big data test
Marketers flunk the big data testSanjay hansdak
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primerParul Verma
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primerSahil Kumar
 
The New Patterns of Innovation
The New Patterns of InnovationThe New Patterns of Innovation
The New Patterns of InnovationSushant Kumar
 

What's hot (20)

What people analytics can't capture
What people analytics can't captureWhat people analytics can't capture
What people analytics can't capture
 
A Predictive Analytics Prime
A Predictive Analytics PrimeA Predictive Analytics Prime
A Predictive Analytics Prime
 
BIG DATA PROBLEM
BIG DATA PROBLEMBIG DATA PROBLEM
BIG DATA PROBLEM
 
Predictive Analytics: An Executive Primer
Predictive Analytics: An Executive PrimerPredictive Analytics: An Executive Primer
Predictive Analytics: An Executive Primer
 
Predictive analytics in the world of big data
Predictive analytics in the world of big dataPredictive analytics in the world of big data
Predictive analytics in the world of big data
 
The predictive analysis
The predictive analysisThe predictive analysis
The predictive analysis
 
Marketers and Big Data
Marketers and Big DataMarketers and Big Data
Marketers and Big Data
 
1000 grandy using our laptop
1000 grandy using our laptop1000 grandy using our laptop
1000 grandy using our laptop
 
What People Analytics Can’t Capture
What People Analytics Can’t CaptureWhat People Analytics Can’t Capture
What People Analytics Can’t Capture
 
Advanced Analysis Presentation
Advanced Analysis PresentationAdvanced Analysis Presentation
Advanced Analysis Presentation
 
Marketers flunk the big data test
Marketers flunk the big data testMarketers flunk the big data test
Marketers flunk the big data test
 
Introduction to analytics
Introduction to analyticsIntroduction to analytics
Introduction to analytics
 
APT UC Keynote Presentation - Jayson Tipp
APT UC Keynote Presentation - Jayson TippAPT UC Keynote Presentation - Jayson Tipp
APT UC Keynote Presentation - Jayson Tipp
 
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...Analysis of the article by Thoman C Redman on 'How to start thinking like a D...
Analysis of the article by Thoman C Redman on 'How to start thinking like a D...
 
Predictive Analytics
Predictive AnalyticsPredictive Analytics
Predictive Analytics
 
Data and the Changing Role of the Tech Savvy CFO
Data and the Changing Role of the Tech Savvy CFOData and the Changing Role of the Tech Savvy CFO
Data and the Changing Role of the Tech Savvy CFO
 
Marketers flunk the big data test
Marketers flunk the big data testMarketers flunk the big data test
Marketers flunk the big data test
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primer
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primer
 
The New Patterns of Innovation
The New Patterns of InnovationThe New Patterns of Innovation
The New Patterns of Innovation
 

Similar to A predictive analytics primer

"A Predictive Analytics Primer" by Tom Davenport
 "A Predictive Analytics Primer" by Tom Davenport "A Predictive Analytics Primer" by Tom Davenport
"A Predictive Analytics Primer" by Tom DavenportHarshit Sahni
 
Customer Experience Improvement: Finding the Right Data Strategy
Customer Experience Improvement: Finding the Right Data StrategyCustomer Experience Improvement: Finding the Right Data Strategy
Customer Experience Improvement: Finding the Right Data Strategysuitecx
 
Conquering Customer Analytics in Retail - Infographic
Conquering Customer Analytics in Retail - InfographicConquering Customer Analytics in Retail - Infographic
Conquering Customer Analytics in Retail - InfographicOpenbravo
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primerShesha
 
Art Halls Data Analytics PowerPoint
Art Halls Data Analytics PowerPointArt Halls Data Analytics PowerPoint
Art Halls Data Analytics PowerPointArthur Hall, D.Min.
 
5 Ways to Improve Sales Performance with Analytics
5 Ways to Improve Sales Performance with Analytics5 Ways to Improve Sales Performance with Analytics
5 Ways to Improve Sales Performance with AnalyticsQlik
 
Effective demand planning - our vision at Solventure
Effective demand planning - our vision at SolventureEffective demand planning - our vision at Solventure
Effective demand planning - our vision at SolventureSolventure
 
The Power of a Proper North Star Metric
The Power of a Proper North Star MetricThe Power of a Proper North Star Metric
The Power of a Proper North Star MetricRocketSource
 
Data Analysis - Approach & Techniques
Data Analysis - Approach & TechniquesData Analysis - Approach & Techniques
Data Analysis - Approach & TechniquesInvenkLearn
 
Business Analytics models, measuring scales etc.pptx
Business Analytics models, measuring scales etc.pptxBusiness Analytics models, measuring scales etc.pptx
Business Analytics models, measuring scales etc.pptxfaizhasan406
 
The Most Important Metrics You’re Not Tracking (Yet).pdf
The Most Important Metrics You’re Not Tracking (Yet).pdfThe Most Important Metrics You’re Not Tracking (Yet).pdf
The Most Important Metrics You’re Not Tracking (Yet).pdfMussadaq Rauf
 
Machine Learning for Business - Eight Best Practices for Getting Started
Machine Learning for Business - Eight Best Practices for Getting StartedMachine Learning for Business - Eight Best Practices for Getting Started
Machine Learning for Business - Eight Best Practices for Getting StartedBhupesh Chaurasia
 
what is ..how to process types and methods involved in data analysis
what is ..how to process types and methods involved in data analysiswhat is ..how to process types and methods involved in data analysis
what is ..how to process types and methods involved in data analysisData analysis ireland
 
Sentinel Report | Q1 2017
Sentinel Report | Q1 2017Sentinel Report | Q1 2017
Sentinel Report | Q1 2017Globant
 
Humanizing Big Data: The Key to Actionable Customer Journey Analytics
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsHumanizing Big Data: The Key to Actionable Customer Journey Analytics
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsRocketSource
 
Crafting Data Driven Buyer Personas
Crafting Data Driven Buyer PersonasCrafting Data Driven Buyer Personas
Crafting Data Driven Buyer PersonasLeadMD
 

Similar to A predictive analytics primer (20)

"A Predictive Analytics Primer" by Tom Davenport
 "A Predictive Analytics Primer" by Tom Davenport "A Predictive Analytics Primer" by Tom Davenport
"A Predictive Analytics Primer" by Tom Davenport
 
Customer Experience Improvement: Finding the Right Data Strategy
Customer Experience Improvement: Finding the Right Data StrategyCustomer Experience Improvement: Finding the Right Data Strategy
Customer Experience Improvement: Finding the Right Data Strategy
 
Conquering Customer Analytics in Retail - Infographic
Conquering Customer Analytics in Retail - InfographicConquering Customer Analytics in Retail - Infographic
Conquering Customer Analytics in Retail - Infographic
 
Insurance value chain
Insurance value chainInsurance value chain
Insurance value chain
 
Unlock the Value of Usage Data
Unlock the Value of Usage DataUnlock the Value of Usage Data
Unlock the Value of Usage Data
 
A predictive analytics primer
A predictive analytics primerA predictive analytics primer
A predictive analytics primer
 
Big Data Analytics
Big Data AnalyticsBig Data Analytics
Big Data Analytics
 
Art Halls Data Analytics PowerPoint
Art Halls Data Analytics PowerPointArt Halls Data Analytics PowerPoint
Art Halls Data Analytics PowerPoint
 
5 Ways to Improve Sales Performance with Analytics
5 Ways to Improve Sales Performance with Analytics5 Ways to Improve Sales Performance with Analytics
5 Ways to Improve Sales Performance with Analytics
 
Effective demand planning - our vision at Solventure
Effective demand planning - our vision at SolventureEffective demand planning - our vision at Solventure
Effective demand planning - our vision at Solventure
 
The Power of a Proper North Star Metric
The Power of a Proper North Star MetricThe Power of a Proper North Star Metric
The Power of a Proper North Star Metric
 
Data Analysis - Approach & Techniques
Data Analysis - Approach & TechniquesData Analysis - Approach & Techniques
Data Analysis - Approach & Techniques
 
Business Analytics models, measuring scales etc.pptx
Business Analytics models, measuring scales etc.pptxBusiness Analytics models, measuring scales etc.pptx
Business Analytics models, measuring scales etc.pptx
 
Sas business analytics
Sas   business analyticsSas   business analytics
Sas business analytics
 
The Most Important Metrics You’re Not Tracking (Yet).pdf
The Most Important Metrics You’re Not Tracking (Yet).pdfThe Most Important Metrics You’re Not Tracking (Yet).pdf
The Most Important Metrics You’re Not Tracking (Yet).pdf
 
Machine Learning for Business - Eight Best Practices for Getting Started
Machine Learning for Business - Eight Best Practices for Getting StartedMachine Learning for Business - Eight Best Practices for Getting Started
Machine Learning for Business - Eight Best Practices for Getting Started
 
what is ..how to process types and methods involved in data analysis
what is ..how to process types and methods involved in data analysiswhat is ..how to process types and methods involved in data analysis
what is ..how to process types and methods involved in data analysis
 
Sentinel Report | Q1 2017
Sentinel Report | Q1 2017Sentinel Report | Q1 2017
Sentinel Report | Q1 2017
 
Humanizing Big Data: The Key to Actionable Customer Journey Analytics
Humanizing Big Data: The Key to Actionable Customer Journey AnalyticsHumanizing Big Data: The Key to Actionable Customer Journey Analytics
Humanizing Big Data: The Key to Actionable Customer Journey Analytics
 
Crafting Data Driven Buyer Personas
Crafting Data Driven Buyer PersonasCrafting Data Driven Buyer Personas
Crafting Data Driven Buyer Personas
 

More from AmanMehta47

Lies, damned lies and statistics
Lies, damned lies and statisticsLies, damned lies and statistics
Lies, damned lies and statisticsAmanMehta47
 
You may not need big data after all
You may not need big data after allYou may not need big data after all
You may not need big data after allAmanMehta47
 
How to make a hit tv show!
How to make a hit tv show!How to make a hit tv show!
How to make a hit tv show!AmanMehta47
 
Stop searching for that elusive data scientist
Stop searching for that elusive data scientistStop searching for that elusive data scientist
Stop searching for that elusive data scientistAmanMehta47
 
The big data revolution in healthcare
The big data revolution in healthcareThe big data revolution in healthcare
The big data revolution in healthcareAmanMehta47
 
A leader’s guide to data analytics
A leader’s guide to data analyticsA leader’s guide to data analytics
A leader’s guide to data analyticsAmanMehta47
 
3 ways to spot a bad statistic
3 ways to spot a bad statistic3 ways to spot a bad statistic
3 ways to spot a bad statisticAmanMehta47
 
The best stats you’ve ever seen
The best stats you’ve ever seenThe best stats you’ve ever seen
The best stats you’ve ever seenAmanMehta47
 
Data is worthless if you don’t communicate it
Data is worthless if you don’t communicate itData is worthless if you don’t communicate it
Data is worthless if you don’t communicate itAmanMehta47
 
Are you data driven
Are you data drivenAre you data driven
Are you data drivenAmanMehta47
 
Make data more human
Make data more humanMake data more human
Make data more humanAmanMehta47
 
Start Thinking Like a Data Scientist
Start Thinking Like a Data ScientistStart Thinking Like a Data Scientist
Start Thinking Like a Data ScientistAmanMehta47
 

More from AmanMehta47 (16)

Lies, damned lies and statistics
Lies, damned lies and statisticsLies, damned lies and statistics
Lies, damned lies and statistics
 
You may not need big data after all
You may not need big data after allYou may not need big data after all
You may not need big data after all
 
Big data hype
Big data hypeBig data hype
Big data hype
 
How to make a hit tv show!
How to make a hit tv show!How to make a hit tv show!
How to make a hit tv show!
 
Stop searching for that elusive data scientist
Stop searching for that elusive data scientistStop searching for that elusive data scientist
Stop searching for that elusive data scientist
 
The big data revolution in healthcare
The big data revolution in healthcareThe big data revolution in healthcare
The big data revolution in healthcare
 
A leader’s guide to data analytics
A leader’s guide to data analyticsA leader’s guide to data analytics
A leader’s guide to data analytics
 
3 ways to spot a bad statistic
3 ways to spot a bad statistic3 ways to spot a bad statistic
3 ways to spot a bad statistic
 
The best stats you’ve ever seen
The best stats you’ve ever seenThe best stats you’ve ever seen
The best stats you’ve ever seen
 
Data is worthless if you don’t communicate it
Data is worthless if you don’t communicate itData is worthless if you don’t communicate it
Data is worthless if you don’t communicate it
 
Are you data driven
Are you data drivenAre you data driven
Are you data driven
 
Make data more human
Make data more humanMake data more human
Make data more human
 
Start Thinking Like a Data Scientist
Start Thinking Like a Data ScientistStart Thinking Like a Data Scientist
Start Thinking Like a Data Scientist
 
Big data
Big dataBig data
Big data
 
Data scientist
Data scientistData scientist
Data scientist
 
Statistics
StatisticsStatistics
Statistics
 

Recently uploaded

Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfSocial Samosa
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...Suhani Kapoor
 
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...ThinkInnovation
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998YohFuh
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptSonatrach
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一F La
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceSapana Sha
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxEmmanuel Dauda
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...soniya singh
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptxthyngster
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]📊 Markus Baersch
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfgstagge
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfJohn Sterrett
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024thyngster
 

Recently uploaded (20)

Call Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort ServiceCall Girls in Saket 99530🔝 56974 Escort Service
Call Girls in Saket 99530🔝 56974 Escort Service
 
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdfKantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
Kantar AI Summit- Under Embargo till Wednesday, 24th April 2024, 4 PM, IST.pdf
 
Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
VIP High Profile Call Girls Amravati Aarushi 8250192130 Independent Escort Se...
 
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...
Predictive Analysis - Using Insight-informed Data to Determine Factors Drivin...
 
RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998RA-11058_IRR-COMPRESS Do 198 series of 1998
RA-11058_IRR-COMPRESS Do 198 series of 1998
 
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
VIP Call Girls Service Charbagh { Lucknow Call Girls Service 9548273370 } Boo...
 
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.pptdokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
dokumen.tips_chapter-4-transient-heat-conduction-mehmet-kanoglu.ppt
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
办理(Vancouver毕业证书)加拿大温哥华岛大学毕业证成绩单原版一比一
 
Call Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts ServiceCall Girls In Dwarka 9654467111 Escorts Service
Call Girls In Dwarka 9654467111 Escorts Service
 
Customer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptxCustomer Service Analytics - Make Sense of All Your Data.pptx
Customer Service Analytics - Make Sense of All Your Data.pptx
 
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
Deep Generative Learning for All - The Gen AI Hype (Spring 2024)
 
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
High Class Call Girls Noida Sector 39 Aarushi 🔝8264348440🔝 Independent Escort...
 
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptxEMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM  TRACKING WITH GOOGLE ANALYTICS.pptx
EMERCE - 2024 - AMSTERDAM - CROSS-PLATFORM TRACKING WITH GOOGLE ANALYTICS.pptx
 
E-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptxE-Commerce Order PredictionShraddha Kamble.pptx
E-Commerce Order PredictionShraddha Kamble.pptx
 
GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]GA4 Without Cookies [Measure Camp AMS]
GA4 Without Cookies [Measure Camp AMS]
 
RadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdfRadioAdProWritingCinderellabyButleri.pdf
RadioAdProWritingCinderellabyButleri.pdf
 
DBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdfDBA Basics: Getting Started with Performance Tuning.pdf
DBA Basics: Getting Started with Performance Tuning.pdf
 
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
Consent & Privacy Signals on Google *Pixels* - MeasureCamp Amsterdam 2024
 

A predictive analytics primer

  • 1.
  • 2.  Have you ever developed a customer lifetime value (CLTV) measure?  Have you had a “next best offer” or product recommendation capability?  Have you made a forecast of next quarter’s sales?
  • 3.
  • 4.  No one has the ability to capture and analyze data from the future. However, there is a way to predict the future using data from the past. It’s called predictive analytics, and organizations do it every day.  Above are prime examples of companies using it everyday!
  • 5. It is normally done with a lot of past data, a little statistical wizardry, and some important assumptions.
  • 6.
  • 7.  If you have multiple channels or customer touchpoints, you need to make sure that they capture data on customer purchases in the same way your previous channels did. All in all, it’s a fairly tough job to create a single customer data warehouse with unique customer IDs on everyone.
  • 8.  The analyst performs a regression analysis to see just how correlated each variable is!  Basically-the degree to which each variable affects the purchase behavior—to create a score predicting the likelihood of the purchase.
  • 9.
  • 10.
  • 11.  By understanding a few basics, you will feel more comfortable working with and communicating with others in your organization about the results and recommendations from predictive analytics
  • 12.  Managers should always ask analysts what the key assumptions are, and what would have to happen for them to no longer be valid.  They should continually monitor the world to see if key factors involved in assumptions might have changed over time.
  • 13.  Can you tell me something about the source of data you used in your analysis? Are you sure the sample data are representative of the population? Are there any outliers in your data distribution? How did they affect the results? What assumptions are behind your analysis? Are there any conditions that would make your assumptions invalid?
  • 14. Gather the right data + do the right type of statistical model + be careful of our assumptions= SUCCESS!