Associations and Text Mining of World Events
Applying frequent itemset analysis to text may seem daunting, but parallel hardware and two insights open the door to theme extraction.
on Sep 30, 2014 in Association Rules, Chris Painter, GPU, Neo4j, Text Mining
Taming the Internet of Things – KNIME Case Study
With increasing interest in the Internet of Things (IoT), see how KNIME can be applied to collect data from IoT sensors, enrich that data, transform it, analyze it, and finally visualize it.
on Sep 30, 2014 in Internet of Things, IoT, Knime, Rosaria Silipo, Smart City
Automotive Customer Churn Prediction Results, part 2
Learn how to apply neural networks and self-organizing maps to visualize the macroscopic relationships between clients and the maintenance evolution of cars over the years.
on Sep 29, 2014 in Churn, Gregory Philippatos, Neural Networks, Predictive Analytics, Visualization
Automotive Customer Churn Prediction using SVM and SOM
A Case Study of predicting customer churn using Life Time Cycle approach and advanced machine learning methods including SVM and Self-Organizing Mapping.
on Sep 27, 2014 in Churn, Gregory Philippatos, Predictive Analytics, Product Analytics
Advanced Data Analytics for Business Leaders Explained
A business-level explanation of most important data analytics and machine learning methods, including neural networks, deep learning, clustering, ensemble methods, SVM, and when do use what models.
on Sep 24, 2014 in Alex Jones, Algorithms, Business Analytics, Business Leader, Data Analytics, Ensemble Methods, Neural Networks
Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change
Predictive analytics can help navigate the many coming changes in US healthcare, including aging population, less money, impact of ACA (Obamacare) - especially on pharmaceutical and medical supplies, the R&D process, investment and new product launches.
on Sep 23, 2014 in ACA, Aging, Healthcare, Lana Klein, Pharma, Predictive Analytics, Walgreen
Data Analytics for Business Leaders Explained
Learn about a variety of different approaches to data analytics and their advantages and limitations from a business leader's perspective in part 1 of this post on data analytics techniques.
on Sep 22, 2014 in Alex Jones, Algorithms, Business Leader, Classification, Data Analytics, Decision Trees, Linear Programming, Regression
Analytics Team Dissolution – Unique Case Study
This unique case helps to understand how to build and lead an effective business analytics team, by learning from the sharp decline of one such team.
on Sep 18, 2014 in Analytics Team, Chief Analytics Officer, Randy Bartlett
INFORMS The Business of Big Data 2014: Day 2 Highlights
Highlights from the presentations by Big Data leaders from Accenture, Analytics Media Group, SAS and Intel on day 2 of INFORMS The Business of Big Data.
on Sep 15, 2014 in Accenture, Analytics, Big Data, Hadoop, INFORMS, Intel, San Jose-CA, SAS
Exclusive Interview: Imran Siddiqi, SAP on Why the Business needs Ambitious Big Data Use Cases
We discuss the selection and tracking of use cases, key points for designing a sustainable information architecture, the need for ambitious use cases, SAP's competitive differentiation, and more.
on Sep 13, 2014 in Advanced Analytics, Architecture, Business Strategy, Imran Siddiqi, Industry, Interview, SAP, Use Cases, Vendors
Customer Analytics Summit 2014 Chicago: Day 2 Highlights
Highlights from the presentations by Big Data & Analytics experts from Microsoft, Sears Holdings and Obama for America on day 2 of Customer Analytics Summit 2014.
on Sep 12, 2014 in Analytics, Chicago-IL, Conference, Data Mining, IE Group, Machine Learning, Microsoft, Obama for America, Sears Holdings
Exclusive Interview: Imran Siddiqi, SAP on the Strategic Value Proposition of Big Data
We discuss the impact of Big Data advancements on business strategy, value proposition of Big Data, importance of partnerships, key risks and mitigation strategy, how to win sustained patronage for Big Data projects and more.
on Sep 11, 2014 in Advanced Analytics, Big Data, Business Intelligence, Business Strategy, Imran Siddiqi, SAP, Use Cases, Value Proposition, Vendors
Customer Analytics Summit 2014 Chicago: Day 1 Highlights
Highlights from the presentations by Big Data & Analytics experts from ShareThis, Netflix and Ancestry on day 1 of Customer Analytics Summit 2014.
on Sep 11, 2014 in Chicago-IL, Conference, Customer Analytics, IE Group, Netflix, Recommendations, ShareThis
Interview: Joe Otto, Alpine on Selecting the Right Big Data Vendor
We discuss Big Data vendor landscape, key relevant questions, Alpine's competitive differentiation, important qualities sought in data scientists, and more.
on Sep 10, 2014 in Alpine, Collaboration, Competition, Hadoop, Interview, Joe Otto, Skills, Vendors
Interview: Joe Otto, Alpine on Why Big Data is all about Empowerment & Collaboration
We discuss the story of Alpine Data Labs, the recent recognition of Alpine, effect of YARN, major customer use cases, and challenges in consumerizing Big Data.
on Sep 9, 2014 in Advanced Analytics, Alpine, Collaboration, Hadoop, Interview, Joe Otto, Startup, Use Cases, YARN
Hiring Data Scientists: What to look for?
Know key characteristics of what makes up a good data scientist based upon the three authors’ consulting and research experience, having collaborated with many companies world-wide on the topics of big data and analytics.
on Sep 9, 2014 in Analytics, Big Data, Business, Data Mining, Data Scientist, Hiring, Programming, Skills, Statistics
Exclusive Interview: Ajay Bhargava, TCS on the Ideal Analytics Curriculum at Graduate-level
We discuss the differences between analytics and Big Data, the evolution of expectations from data science, important qualities desired in data scientists, ideal curriculum for Analytics focused programs, advice and more.
on Sep 5, 2014 in Advice, Ajay Bhargava, Analytics, Big Data, Education, Interview, Predictions, TCS, Trends
Exclusive Interview: Ajay Bhargava, TCS shares the Big Data Mantra: Harness Data and Harvest Value
We discuss how to tame Big Data through harnessing data and harvesting value, the top Big Data priorities in Insurance sector, short-term and long-term needs of Healthcare Analytics, and more.
on Sep 4, 2014 in Ajay Bhargava, Big Data, Challenges, Descriptive Analytics, Healthcare, Insurance, Interview, Opportunities, Predictive Analytics, TCS
Shifting CXO crowns and changing Analytics Leadership
Learn about how the analytics landscape has shifted in recent years and how this has pushed the CXO to pursue higher levels of analytics competition to meet business needs.
on Sep 3, 2014 in Analytics Leader, Chief Data Officer, Competition, Debleena Roy, Tom Davenport
Age homophily for predicting age of mobile phone customers
Homophily (a tendency of people to associate with others like them) is ubiquitous in real world and in social networks. We show the existence of age homophily in a mobile phone communication network and exploit it to predict the age group for all users in the network.
on Sep 2, 2014 in Grandata, Graph Analytics, Jorge Brea, Mobile Phone Usage, Social Networks
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