2014 Sep Opinions, Interviews, Reports

• Associations and Text Mining of World Events - Sep 30, 2014.
  Applying frequent itemset analysis to text may seem daunting, but parallel hardware and two insights open the door to theme extraction.

  Association Rules, Chris Painter, GPU, Neo4j, Text Mining

• Taming the Internet of Things – KNIME Case Study - Sep 30, 2014.
  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.

  Internet of Things, IoT, Knime, Rosaria Silipo, Smart City

• Automotive Customer Churn Prediction Results, part 2 - Sep 29, 2014.
  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.

  Churn, Gregory Philippatos, Neural Networks, Predictive Analytics, Visualization

• Automotive Customer Churn Prediction using SVM and SOM - Sep 27, 2014.
  A Case Study of predicting customer churn using Life Time Cycle approach and advanced machine learning methods including SVM and Self-Organizing Mapping.

  Churn, Gregory Philippatos, Predictive Analytics, Product Analytics

• Advanced Data Analytics for Business Leaders Explained - Sep 24, 2014.
  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.

  Alex Jones, Algorithms, Business Analytics, Business Leader, Data Analytics, Ensemble Methods, Neural Networks

• Predictive Analytics in Health Care: Helping to Navigate Uncertainties and Change - Sep 23, 2014.
  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.

  ACA, Aging, Healthcare, Lana Klein, Pharma, Predictive Analytics, Walgreen

• Data Analytics for Business Leaders Explained - Sep 22, 2014.
  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.

  Alex Jones, Algorithms, Business Leader, Classification, Data Analytics, Decision Trees, Linear Programming, Regression

• Analytics Team Dissolution – Unique Case Study - Sep 18, 2014.
  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.

  Analytics Team, Chief Analytics Officer, Randy Bartlett

• INFORMS The Business of Big Data 2014: Day 2 Highlights - Sep 15, 2014.
  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.

  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 - Sep 13, 2014.
  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.

  Advanced Analytics, Architecture, Business Strategy, Imran Siddiqi, Industry, Interview, SAP, Use Cases, Vendors

• Customer Analytics Summit 2014 Chicago: Day 2 Highlights - Sep 12, 2014.
  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.

  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 - Sep 11, 2014.
  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.

  Advanced Analytics, Big Data, Business Intelligence, Business Strategy, Imran Siddiqi, SAP, Use Cases, Value Proposition, Vendors

• 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

• Interview: Joe Otto, Alpine on Selecting the Right Big Data Vendor - Sep 10, 2014.
  We discuss Big Data vendor landscape, key relevant questions, Alpine's competitive differentiation, important qualities sought in data scientists, and more.

  Alpine, Collaboration, Competition, Hadoop, Interview, Joe Otto, Skills, Vendors

• Interview: Joe Otto, Alpine on Why Big Data is all about Empowerment & Collaboration - Sep 9, 2014.
  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.

  Advanced Analytics, Alpine, Collaboration, Hadoop, Interview, Joe Otto, Startup, Use Cases, YARN

• Hiring Data Scientists: What to look for? - Sep 9, 2014.
  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.

  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 - Sep 5, 2014.
  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.

  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 - Sep 4, 2014.
  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.

  Ajay Bhargava, Big Data, Challenges, Descriptive Analytics, Healthcare, Insurance, Interview, Opportunities, Predictive Analytics, TCS

• Shifting CXO crowns and changing Analytics Leadership - Sep 3, 2014.
  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.

  Analytics Leader, Chief Data Officer, Competition, Debleena Roy, Tom Davenport

• Age homophily for predicting age of mobile phone customers - Sep 2, 2014.
  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.

  Grandata, Graph Analytics, Jorge Brea, Mobile Phone Usage, Social Networks