- AWS Data Exchange Webinar: Maintain competitive edge with third-party financial services data - Nov 10, 2021.
Join this webinar, Nov 11, to learn how leveraging third-party financial services data can facilitate faster, intelligence-based decision-making that propels your company's business outcomes and digital transformation.
AWS, Business, Customer Analytics, Webinar
- Amazon Web Services Webinar: Leverage data sets to create a customer-centric strategy and improve business outcomes - Oct 14, 2021.
Register now for this webinar, Oct 28, to learn how using third-party data enhances applications to better prioritize your target customer - helping you build a more customer-centric business.
AWS, Business, Customer Analytics, Webinar
- How I Built A Perfect Model And Got Into Trouble - Oct 12, 2021.
Data-driven decisions, actionable insights, business impact—you've seen these buzzwords in data science jobs descriptions. But, just focusing on these terms doesn't automatically lead to the best results. Learn from this real-world scenario that followed data-driven indecisiveness, found misleading insights, and initially created a negative business impact.
Analytics, Business, Customer Analytics, Finance, KPI, Metrics
- How to Effectively Obtain Consumer Insights in a Data Overload Era - Sep 17, 2020.
Everybody knows how important is understanding your customer, but how to do that in an era of Information Overload?
Analytics, Customer Analytics, Data Science
- Exclusive Reuters Events C-level webinar: Technology enabled customer-centric innovation with Travelers, Wells Fargo and Henkel - Aug 12, 2020.
Join this exclusive Reuters Events webinar: Technology enabled customer-centric innovation with Travelers, Wells Fargo and Henkel, on Aug 20 @ 11:00 ET, and learn how to marry both concepts to delight your consumers with data driven customer-centric innovation!
Customer Analytics, Thomson Reuters, Webinar
- 3 Key Data Science Questions to Ask Your Big Data - Jun 3, 2020.
The process of understanding your data begins by asking 3 questions at the highest level, and then iteratively asking hundreds of cascading questions to get deeper insights.
Big Data, Business, Customer Analytics, Data Science, Metrics
- Customer Churn Prediction: A Global Performance Study - May 13, 2020.
This article details an automated machine-learned approach to predict customer churn and its results across selected communication service providers around the globe.
Churn, Customer Analytics, Predictive Analytics
- How To Build Your Own Feedback Analysis Solution - Mar 12, 2020.
Automating the analysis of customer feedback will sound like a great idea after reading a couple hundred reviews. Building an NLP solution to provide in-depth analysis of what your customers are thinking is a serious undertaking, and this guide helps you scope out the entire project.
Customer Analytics, NLP, Text Analytics
- Passive Data Collection and Actionable Results: What to Know - Feb 21, 2020.
There are plenty of ways to get actionable results by using passive data. However, such an outcome will not happen without careful forethought. Data analysts must consider several crucial specifics, including what questions they want and expect the information to answer, and how they'll apply the findings to aid the business.
Analytics, Customer Analytics, Data Curation, Datasets
- Geek & Chic: Analytics redefining fashion instincts - Jan 31, 2020.
To effectively start with fashion retail analytics, players in the fashion retail sector need to first decide where analytics will help them achieve the greatest business impact.
Analytics, Customer Analytics, Fashion
- Random Forest® vs Neural Networks for Predicting Customer Churn - Dec 26, 2019.
Let us see how random forest competes with neural networks for solving a real world business problem.
Churn, Customer Analytics, Neural Networks, random forests algorithm
- Customer Segmentation Using K Means Clustering - Nov 4, 2019.
Customer Segmentation can be a powerful means to identify unsatisfied customer needs. This technique can be used by companies to outperform the competition by developing uniquely appealing products and services.
Clustering, Customer Analytics, K-means, Python, Segmentation
- Customer Segmentation for R Users - Sep 26, 2019.
This article shows you how to separate your customers into distinct groups based on their purchase behavior. For the R enthusiasts out there, I demonstrated what you can do with r/stats, ggradar, ggplot2, animation, and factoextra.
Customer Analytics, R, Segmentation
- Customer Churn Prediction Using Machine Learning: Main Approaches and Models - May 14, 2019.
We reach out to experts from HubSpot and ScienceSoft to discuss how SaaS companies handle the problem of customer churn prediction using Machine Learning.
Altexsoft, Churn, Customer Analytics, Machine Learning
- Wharton Customer Analytics Initiative Annual Conference in Philadelphia, May 15-16 – Register Now - Apr 23, 2019.
The Wharton Customer Analytics Initiative (WCAI) annual conference, “Successful Applications of Analytics: How Analytics Drives Disruption,” returns to Philadelphia May 15-16, and includes analytic professionals from a wide variety of industries for a day and a half of knowledge sharing and networking.
Customer Analytics, PA, Philadelphia, Wharton
- Register for the Wharton Customer Analytics Initiative Annual Conference in Philadelphia: May 15-16 - Apr 8, 2019.
The Wharton Customer Analytics Initiative (WCAI) annual conference, “Successful Applications of Analytics: How Analytics Drives Disruption,” returns to Philadelphia May 15-16, and includes analytic professionals from a wide variety of industries for a day and a half of knowledge sharing and networking.
Customer Analytics, PA, Philadelphia, Wharton
- The 7 Myths of Data Anonymisation - Mar 12, 2019.
Anonymisation has always been rather seen as a necessary evil instead of a helpful tool. That’s why plenty of myths have arisen around that technology over the years.
Anonymity, Customer Analytics, Differential Privacy, GDPR, Privacy, Statistics
- Combating Customer Churn with AI - Nov 29, 2018.
Businesses today can use the power of AI to help determine which customers are more likely to churn, and what actions to take to keep them. In this DataRobot webinar on Dec 10 @ 1 PM EST, learn how to combat customer churn with AI.
AI, Churn, Customer Analytics, DataRobot
- Strategy: Customer Analytics: Are you Profiting from your Data? - Nov 14, 2018.
Introducing Wharton's Customer Analytics program, that helps participants make the connection between the numbers and the narrative, making it easier for them to help others understand the data they are collecting.
Customer Analytics, Profit, Strategy, Wharton
- Turn data into revenue. Wharton can show you how. - Nov 6, 2018.
Customer Analytics from Wharton Executive Education gives you an actionable plan to analyze your customer data by delving into specific collection methodologies and patterns for predictive behavior. Find out more about the Feb 25-Mar 1 session in Philadelphia.
Customer Analytics, PA, Philadelphia, Training, Wharton
- Audience Segmentation - Jun 6, 2018.
The process of audience segmentation is not about just statistics, it’s about finding your ideal clients and choosing the right way of interaction with them.
Clustering, Customer Analytics, Segmentation
- Gain a New Perspective on Your Customer Data at Wharton - Jun 4, 2018.
Are you using your customer data to its full advantage? Chances are the answer is no. Customer Analytics from Wharton Executive Education, Sep. 17–21, 2018, Philadelphia, gives you a deeper, actionable understanding of your data.
Customer Analytics, PA, Philadelphia, Wharton
- Customer-Driven Product Development for the Future, June 6 webinar - May 21, 2018.
Learn about the tools and strategies you need to develop products to meet the future needs of your customer and thrive in the future of insurance.
Customer Analytics, Insurance, Insurance Nexus, Risk Analytics
- Actionable Insights with Predictive Analytics for Marketers, May 9 - May 1, 2018.
Learn how your predictions can only be as good as your data, how to fix imperfect data, how to structure your customer data for optimal predictive power, and more.
Customer Analytics, Data Preparation, Looker, Marketing
- Wharton: Successful Applications of Customer Analytics – May 9-10, Philadelphia - Apr 18, 2018.
The WCAI annual conference, Successful Applications of Customer Analytics is dedicated to real-world applications that balance high-level rigor and business know-how, and to elevating the role of analytics in an organization strategic decision-making.
Applications, Customer Analytics, Deep Learning, PA, Philadelphia, Recommender Systems, WCAI, Wharton
- Wharton: Successful Applications of Customer Analytics, May 9-10, Philadelphia - Mar 28, 2018.
The WCAI annual conference, Successful Applications of Customer Analytics is dedicated to real-world applications that balance high-level rigor and business know-how, and to elevating the role of analytics in an organization strategic decision-making.
Applications, Customer Analytics, Deep Learning, PA, Philadelphia, Recommender Systems, WCAI, Wharton
- Webcasts: Finding analytic solutions to real problems - Mar 6, 2018.
The Technically Speaking webcasts provides real-word case studies that deliver key insights on overcoming the challenges with your data collection, preparation, and analysis.
Best Practices, Customer Analytics, Dashboard, Data Visualization, JMP, Text Analysis
- Calculating Customer Lifetime Value: SQL Example - Feb 15, 2018.
In order to understand how to estimate LTV, it is useful to first think about evaluating a customer’s lifetime value at the end of their relationship with us.
Customer Analytics, Lifetime Value, SQL, Statsbot
- Enhancing Customer 360 Models with Automated Machine Learning - Feb 1, 2018.
Join DataRobot on Feb 15 to discover how Automated Machine Learning provides the ability to develop and refresh Customer 360 predictive models, the ability to deploy models with a click of a button, and more!
Automated Machine Learning, Customer Analytics, DataRobot
- A Guide for Customer Retention Analysis with SQL - Dec 19, 2017.
Customer retention curves are essential to any business looking to understand its clients, and will go a long way towards explaining other things like sales figures or the impact of marketing initiatives. They are an easy way to visualize a key interaction between customers and the business.
Pages: 1 2
Analytics, Customer Analytics, SQL, Statsbot
- The Fastest Way to Benefit from Text Analytics, Dec 20 Webinar - Dec 13, 2017.
MeaningCloud Vertical Packs: Voice of the Customer (VoC) and Voice of the Employee (VoE), offer the fastest way to benefit from text analytics.
Customer Analytics, MeaningCloud, Text Analytics
- Bill Inmon on Hearing The Voice Of Your Customer - Dec 7, 2017.
This post explores the importance of hearing your customer, and how to use sentiment analytics and other technologies to achieve this goal and avoid going out of business.
Pages: 1 2 3
Bill Inmon, Customer Analytics, Sentiment Analysis, Speech Recognition
- Learn to turn data into revenue at Wharton - Nov 9, 2017.
Are you using your customer data to its full advantage? Chances are the answer is no. Customer Analytics, Feb 26-Mar 1, from Wharton Executive Education gives you a deeper, actionable understanding of your data.
Analytics, Customer Analytics, PA, Philadelphia, Wharton
- The danger in comparing your campaign performance against an average - Oct 26, 2017.
Performance measurement is only meaningful when compared against a benchmark. While “average” is a good, and easy to understand metric, it could be very deceptive.
CleverTap, Customer Analytics, Metrics
New-Age Machine Learning Algorithms in Retail Lending - Sep 13, 2017.
We review the application of new age Machine Learning algorithms for better Customer Analytics in Lending and Credit Risk Assessment.
Credit Risk, Customer Analytics, Deep Learning, Fintech, Machine Learning, Recurrent Neural Networks
- Looker: Get a Complete View of Your Customer, Aug 31 Webinar - Aug 24, 2017.
Product experts from Kustomer and Looker will share insights on industry trends and the benefits of shifting to a customer-centric view.
Customer Analytics, Looker
- HSBC: Senior Analyst/Manager, Customer Analytics - Aug 3, 2017.
HSBC is seeking a Senior Analyst/Manager, Customer Analytics provides senior analytic support for the Retail Banking and Wealth Management business in the US.
Analyst, Analytics Manager, Arlington Heights, Customer Analytics, Depew, HSBC, IL, NY
- Sainsbury’s: Data Scientist - Jul 10, 2017.
Join our Data Science and Algorithms team and be at the heart of our exciting mission to discover new opportunities with scientific rigour.
Customer Analytics, Data Scientist, London, Sainsbury's, UK
- Learn to turn data into revenue at Wharton - May 30, 2017.
Customer Analytics from Wharton Executive Education gives you a deeper, actionable understanding of your data by delving into specific collection methodologies and patterns for predictive behavior, empowering you to make impactful decisions that drive success throughout your company.
Customer Analytics, Pennsylvania, Philadelphia, Wharton
- Do We Need Balanced Sampling? - May 4, 2017.
Resampling is a solution which is very popular in dealing with class imbalance. Our research on churn prediction shows that balanced sampling is unnecessary.
Customer Analytics, Data Mining, Data Science
- Wharton: Successful Applications of Customer Analytics, May 10-11, Philadelphia - Apr 3, 2017.
This conference shows real-world applications that balance of high-level rigor and business know-how and elevating the role of analytics in an organization's strategic decision-making. Hilary Mason keynotes.
Customer Analytics, Hilary Mason, PA, Philadelphia, WCAI, Wharton
- Analytics and Machine Learning training in Q2 - Mar 24, 2017.
Learn Anomaly Detection, Deep Learning, or Customer Analytics in R online at Statistics.com with top instructors who are leaders of the field. Use code 3CAP17 before March 30 to save $170.
Anomaly Detection, Customer Analytics, Deep Learning, Online Education, Statistics.com
- Beginner’s Guide to Customer Segmentation - Mar 9, 2017.
At the core of customer segmentation is being able to identify different types of customers and then figure out ways to find more of those individuals so you can... you guessed it, get more customers!
Clustering, Customer Analytics, Histogram, K-means, Yhat
- The Challenges of Building a Predictive Churn Model - Mar 8, 2017.
Unlike other data science problems, there is no one method for predicting which customers are likely to churn in the next month. Here we review the most popular approaches.
Churn, Customer Analytics, Datascience.com, Survival Analysis
- What is Customer Churn Modeling? Why is it valuable? - Mar 1, 2017.
Getting new customers is much more more expensive than retaining existing ones, so reducing churn is a top priority for many firms. Understanding why customers churn and estimating the risks are powerful components of a data-driven retention strategy.
Churn, Customer Analytics, Datascience.com
- The Top 5 KPIs to Consider When Measuring Your Campaign - Feb 28, 2017.
When it comes to measuring marketing campaign performance or analysing customers in any business, below top 5 Key Performance Indicators (KPIs) needs to be used to strategically drive the business.
Churn, Customer Analytics, KPI, Metrics, ROI, Social Media
- Rexer Analytics Data Science Survey Highlights - Oct 14, 2016.
Regression, Decision Trees, and Cluster analysis remain the most commonly used algorithms in the field, R continues to ascend, job satisfaction remains high, but customer understanding still needs improvement.
Algorithms, Customer Analytics, Data Science, Deployment, R, Rexer Analytics, Survey
- Insights From Data Science Giants ahead of PAW NYC, Oct 23-27 - Sep 27, 2016.
PAW for Business, PAW Financial and PAW Healthcare will take place in NYC, Oct 23-27, Get early insight from the presenters from these in-depth interviews, and use code KDNPAW150 to save.
Customer Analytics, Dean Abbott, New York City, NY, PAW, Predictive Analytics World, Refugees, Supply Chain
- Doing the Data Science That Drives Predictive Personalization - Sep 9, 2016.
Agile collaboration within data science teams is essential to the vision of customer analytics and personalization. Attend IBM DataFirst Launch Event on Sep 27 in New York City to engage with open-source community leaders and practitioners.
Clustering, Customer Analytics, IBM, New York City, NY
- Data Science of Reviews: ReviewMeta tool Automatically Detects Unnatural Reviews on Amazon - Aug 23, 2016.
ReviewMeta is a tool that analyzes millions of reviews and helps customers decide which ones to trust. As the dataset grows, so do the insights on unbiased reviews.
Amazon, Analytics, Customer Analytics, Data Mining, Trends
- Understand customer needs with choice modeling - Aug 3, 2016.
Which product features are most important to your customers? This case study of American vs Belgian chocolate choice analysis can help you understand which factors drive your customer.
Chocolate, Customer Analytics, JMP, Statistics
- How to Use Cohort Analysis to Improve Customer Retention - May 2, 2016.
Cohort analysis is a subset of behavioral analytics that takes the user data and breaks them into related groups for analysis. Let’s understand using cohort analysis with an example of daily cohort of app users.
Pages: 1 2
Churn, CleverTap, Customer Analytics, Customer Behavior
- What is the influence of Big Data in Medicine? - Mar 14, 2016.
The 360-degree customer view is the idea, that companies can get a complete view of customers by aggregating data from the various touch points that a user. And, big data is helping to materialize this idea, which will revolutionize the healthcare.
Big Data, Customer Analytics, Healthcare
- Accenture (Singapore): Customer Analytics and CVM APAC Lead - Nov 12, 2015.
Join Accenture and help transform leading organizations and communities around the world. Use deep functional expertise in segmentation models, customer analytics, etc to help sales opportunities.
Accenture, Customer Analytics, Singapore
- AIMRx: Data Scientist Consultant – Immediate Need - Sep 22, 2015.
3+ month contract assignment to analyze marketing data to find trends and insights to develop successful strategies for optimizing campaign designs and marketing strategies.
AIMRx, Blue Bell, Consultant, Customer Analytics, Data Scientist, PA, Telecommute
- Zementis: Customer Analytics and Risk Management Webinar, Sep 29 - Sep 21, 2015.
IBM integrated Zementis predictive analytics software directly into IBM zEnterprise computing environment. Learn how this allows organizations to increase business agility, improve data governance and security, and reduce infrastructure cost and complexity.
Customer Analytics, IBM, Zementis
- Big Data Analytics in Hotel Industry - Sep 7, 2015.
The Hotel industry is another data rich industry that captures huge volumes of data of different types. Find out, how Customer Segmentation, Energy Consumption, Investment Management, and Resource Allocation for it can be revolutionized using big data analytics.
Pages: 1 2 3
Big Data Analytics, Customer Analytics, Decision Management, Goran Dragosavac, Hotels
- Kohls: Manager, Big Data Customer Insights - Sep 1, 2015.
Execute and manage a team to support structure, processing, and analyzing of high volume, high velocity, or other resource intensive data to generate insight to influence marketing business decisions.
Customer Analytics, Kohls, Manager, Menomonee Falls, WI
- Kohls: Big Data Customer Insights Analyst - Sep 1, 2015.
Structure, process, and analyze high volume, high velocity, or other resource intensive data to support insight to influence marketing business decisions.
Customer Analytics, Data Analyst, Kohls, Menomonee Falls, WI
- Walmart: Director Customer Analytics – Global Customer Insights & Analytics - Aug 24, 2015.
Manages and drives the development and management of a customer-level demand forecasting and analysis capability to inform on sources of customer profitability and strategic investments.
AR, Bentonville, Customer Analytics, Director, Walmart
- Wharton Online: Strategic Value of Customer Relationships, Sep 28 – Nov 22 - Jul 16, 2015.
This 8-week online program (Sep 28 - Nov 22) by Wharton prof. Peter Fader, teaches how to decipher the streams of customer data flowing into your company. Enroll now.
Customer Analytics, Online Education, Peter Fader, Wharton
- Interview: Ramkumar Ravichandran, Visa on Customer-focus Mindset for Analytics - Jul 15, 2015.
We discuss career advice, need for customer-focus, Analytics trends, desired skills in Data Science practitioners, and more.
Analytics, Customer Analytics, Hiring, Interview, IoT, Ramkumar Ravichandran, Trends, Visa
- Webinar: Tips & Tricks for Customer Segmentation, July 21 - Jul 10, 2015.
We show customer segmentation of a German banking database, using different attributes to identify segments likely to be good credit risks. We will use CART and other algorithms like gradient boosting.
CART, Credit Risk, Customer Analytics, Salford Systems
- Discover the WHY behind your Customer Scores, June 10 webinar with Seth Grimes - May 28, 2015.
Text Analytics thought leader Seth Grimes and MeaningCloud present a special webinar on ensuring you are getting the most from your customer feedback.
Customer Analytics, Daedalus, MeaningCloud, Seth Grimes, Text Analytics
- Interview: Alison Burnham, Scorebig on Optimal, Real-time Pricing through Analytics - May 8, 2015.
We discuss Analytics at ScoreBig, company’s business model, unexpected insights, challenges in customer value management, advice, and more.
Advice, Analytics, Big Data, Career, Customer Analytics, Customer Value, Interview, Machine Learning, Pricing, Real-time
- Upcoming Webcasts on Analytics, Big Data, Data Science – Apr 21 and beyond - Apr 20, 2015.
Solving Big Data Challenges, Impact of User-Generated Reviews, Implementing a Better Search Experience, Maximizing ROI using Data Science, Identifying Customers Across Platforms, The Fast Data Challenge with Michael Stonebraker, and more.
Customer Analytics, In-Memory Computing, ROI
- Webinar: Identifying Users Across Platforms with a Universal ID, Apr 28, by Looker + Segment - Apr 20, 2015.
Any serious customer analysis requires that each customer is counted once and only once - a difficult problem, especially with customer touchpoints across devices. This webinar shows how using a universal id helps solve this problem.
Customer Analytics, Looker
- Wharton Successful Applications of Customer Analytics Conf., Apr 30, Philadelphia - Apr 7, 2015.
Wharton Customer Analytics Initiative (WCAI) helps define Customer Analytics, with conference dedicated to real-world applications that balance high-level rigor and business know-how. Case studies include Nielsen, Google, Cablevision, and MLB.
Customer Analytics, MLB, PA, Philadelphia, WCAI, Wharton
- Wharton Successful Applications of Customer Analytics Conference, Apr 30, Philadelphia - Mar 11, 2015.
Wharton Customer Analytics Initiative (WCAI) helps define Customer Analytics, with conference dedicated to real-world applications that balance high-level rigor and business know-how. Case studies include Nielsen, Google, Cablevision, and MLB.
Customer Analytics, PA, Philadelphia, WCAI, Wharton
- Wharton Online Course: Strategic Value of Customer Relationships - Jan 13, 2015.
During an 8-week online program (Mar 2 - Apr 26) taught by Wharton marketing professor Peter Fader, learn how to decipher the streams of customer data flowing into your company.
Customer Analytics, Customer Value, Peter Fader, Wharton
- Wharton Workshop: Bringing Customer Lifetime Value to Life, Feb 19-20, Philadelphia - Jan 10, 2015.
Predicting how much profit can be generated from a future relationship with a customer is extremely important. This workshop will teach how do this important analysis.
Customer Analytics, Lifetime Value, PA, Philadelphia, USA, Wharton
- Interview: Daqing Zhao, Macys.com on Advanced Analytics for Marketing in the Big Data era - Dec 10, 2014.
We discuss Analytics at Macys.com, comparison of advanced analytics with traditional BI, building data models for scalability, problem of data models becoming quickly obsolete and challenges in customer targeting.
Advanced Analytics, Audience targeting, BI, Challenges, Customer Analytics, Daqing Zhao, Data Models, Interview, Macy's
- The Analytics of Digital Transformation, according to TCS - Nov 17, 2014.
Lipika Dey, in this interview before her talk at next month's LT-Accelerate conference, discusses consumer and market analytics and techniques to extract actionable information from text and social media data.
Altaplana, Customer Analytics, Interview, TCS
- Customer Intelligence in Action, Feb 25-27, San Diego - Nov 13, 2014.
Check the complete program for Customer Intelligence in Action, Feb 25-27, 2015 in San Diego - the most practical and actionable event for customer analytics and experience professionals.
Customer Analytics, Customer Intelligence, IQPC, San Diego-CA
- Customer Analytics Summit 2014 Chicago: Day 1 Highlights - Sep 11, 2014.
Highlights from the presentations by Big Data & Analytics experts from ShareThis, Netflix and Ancestry on day 1 of Customer Analytics Summit 2014.
Chicago-IL, Conference, Customer Analytics, IE Group, Netflix, Recommendations, ShareThis
- Future of Consumer Intelligence 2014: Day 1 Highlights - Jul 19, 2014.
Highlights from the presentations by Market Research leaders from H(app)athon Project, Socratic Technologies, TNS, PepsiCo on day 1 of Future of Consumer Intelligence 2014 in Los Angeles.
Big Data, Consumer Intelligence, Customer Analytics, FOCI, Innovation, Los Angeles-CA, Market Research
- Wharton: Strategic Value of Customer Relationships, online course - Jul 17, 2014.
In 8-week online program taught by Wharton marketing professor Peter Fader, learn how to decipher the streams of customer data flowing into your company.
Customer Analytics, Customer Value, Online Education, Peter Fader, Wharton
- Amazon, Customer Segmentation and Targeting: Machine Learning/Research Scientists (All Levels) - May 14, 2014.
Work on the world's richest collection of online shopping and in-device data to segment and target customers via email, social, mobile and display to support sales, advertising and loyalty applications.
Amazon, Customer Analytics, Seattle-WA
- Interview: George Corugedo, CTO, RedPoint on YARN and Customer Analytics - May 12, 2014.
We discuss significance of YARN for Hadoop 2.0 platform, unique benefits of RedPoint Convergent Marketing Platform and Master Key Management for Customer Analytics.
Customer Analytics, George Corugedo, Hadoop 2.0, Interview, RedPoint, YARN
- Macy’s: Director of Finance and Loyalty Analysis - May 9, 2014.
Establishing measurements and analytics to evaluate the impact of Loyalty initiatives on both credit and third party customers, developing strategies to report and analyze customer behavior.
Cincinnati-OH, Consumer Loyalty, Customer Analytics, Macy's
- dunnhumby: Director, Advanced Analytics & Predictive Modeling - May 8, 2014.
Lead a team with 3 Directors with 20 analysts, modelers and production specialists involved with a balance of innovation and daily production to deliver targeted relevant offers to build customer loyalty and retention.
Cincinnati-OH, Consumer Loyalty, Customer Analytics, dunnhumby
- Globys: Research Scientist – Data Mining and Customer Insights - May 1, 2014.
Data Science experience of a lifetime: use Python to implement Machine Learning and complex analytics on Big Data for real-time marketing and meaningful insights.
Customer Analytics, Globys, Seattle-WA
- JPMorgan Chase: Data Scientist for New Customer Engagement - Apr 15, 2014.
Develop and plan required analytic projects; work with data owners and managers to develop data models and protocols for mining production databases.
Customer Analytics, New York-NY, Wilmington-DE
- JPMorgan Chase: Business Analyst for Customer Engagement Analytics - Apr 15, 2014.
Capture the business requirements for the analytics projects, create business cases, work with other teams to integrate data mining results.
Customer Analytics, New York-NY, Wilmington-DE
- Webcast – Analytically Speaking featuring Rob Reul - Apr 2, 2014.
Focusing on customer intelligence research, including why customer satisfaction is not enough; survey analysis and the role of interactive data visualization; and the importance of choice experiments.
Customer Analytics, JMP, Survey, Webcast
- WCAI: Measuring Skill Level and Optimizing Player-Matching Algorithms in Online Games - Mar 26, 2014.
New research opportunity from Wharton Customer Analytics Initiative (WCAI) involves a unique data set from a major gaming company, with historic behavioral data for 9.5 million users who played 882K games. Learn more on Apr 25.
Customer Analytics, Online Games, Optimization, Skills, Video Games, WCAI, Wharton
- FICO Livecast: Analytically Powered Applications Driving Success, Mar 27 - Mar 20, 2014.
Learn how the world leading companies are building and using analytically powered applications to be more responsive to their customers, presented by Forrester research and FICO.
Applications, Customer Analytics, Decision Management, FICO, Forrester
- Wharton Conference: Successful Applications Of Customer Analytics, May 1 - Mar 14, 2014.
As a research center at the intersection between academics and industry, WCAI will be showcasing presentations that illustrate a high level of rigor but are also broadly accessible to practitioners, with case studies from top companies including MGM Resorts, Cleveland Indians, Pfizer/Kaggle, GE Capital.
Applications, Customer Analytics, Philadelphia-PA, Predictive Models, Tom Davenport, WCAI, Wharton
- Wharton Online: Strategic Value of Customer Relationships, Mar 3 – Apr 27 - Jan 9, 2014.
Go beyond the "average customer" to create and execute a successful strategy for business growth with Wharton Executive Education's new online program. Learn how to identify which customers are the most profitable, and how to effectively reach them. Apply now - Deadline Feb. 14.
Customer Analytics, Customer Value, Peter Fader, Wharton
