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- IT: Information Technology or Independent Thinking ... Interesting Thought!
- Frank Buytendijk explains how philosophical thinking can enhance the performance of IT professionals.
- Advanced Analytics, Big Data and the Power of R: A Q&A Spotlight with David Rich, CEO of Revolution Analytics
- David Rich, CEO of Revolution Analytics, is interviewed by Ron Powell. They discuss how Revolution Analytics provides the "rules, tools and school" to enable enterprises to gain the analytic power required for analyzing big data.
- Public Policy and π
- Dr. Ramon Barquin explains how π and analytics are related, and encourages us to celebrate March 14 National Pi Day.
- Hadoop Education is Vital to Big Data Analysis
- Alex Buttery is a guest contributor to Richard Herschel's Education Channel. In this article, he describes the rapidly growing need for skilled individuals in big data analysis and emphasizes that the best way to develop these skills is through higher education - if universities would only supply the necessary classes.
- The Benefits of Commercial Analytics for Pharma: A Q&A with Peter Harbin of IMS Health
- In this Spotlight, Ron Powell talks with Peter Harbin, senior principal at IMS Health, about analytics for the pharma industry. Peter details the changes that pharma companies are experiencing and explains the business benefits of analytics that provide actionable intelligence.
- The Top Myths of Predictive Analytics
- Piyanka Jain dispels the top five myths of predictive analytics and explains how avoiding them can help your organization make better business decisions.
- Is Inmon's Data Warehouse Definition Still Accurate?
- Ben Jiang examines Bill Inmon's definition of data warehouse to see if it is still accurate for data warehousing today.
- Healthcare Business Intelligence
- Learn more about Laura Madsen's new book - Healthcare Business Intelligence: A Guide to Empowering Successful Data Reporting and Analytics .
- Big Data, Text and Relational Database Management Systems
- Bill Inmon explains why textual ETL is necessary in the big data environment in order to make textual data fit for analytical processing.
- Workload-Driven Data Warehousing
- Krish Krishnan breaks down the types of workloads in a standard data warehouse and then explains how isolating workloads helps you leverage the infrastructure.
- Business ROI Evaluation: Consumer Entertainment Company Goes from 0 to 60
- In this case study, Leslie Ament and Sue Hildreth describe the challenge and the migration effort that was undertaken to maintain brand presence in the U.S. and foreign markets.
- Cloud Integration Redefined: A Q&A with Elias Terman of SnapLogic
- Ron Powell interviews Elias Terman, Director of Product Marketing at SnapLogic, to discuss the new integration challenges that are facing enterprises due to the increasing usage of cloud solutions.
- Whats the Point of Wisdom in Business Intelligence?
- In part 3 of his series on wisdom and business strategy, Frank Buytendijk describes how context and perspective are very important in applying wisdom to data.
- Data Models for Analytics
- David Loshin discusses data models for analytics and explains why a maintained table of facts - a dimensional model - is effective in a data warehouse.
- IT Insights from Machine-Generated Big Data: A Q&A Spotlight with Sanjay Mehta of Splunk
- For this BeyeNETWORK Spotlight, Ron Powell interviews Sanjay Mehta to learn about the valuable insights that can be gleaned from machine-generated data.
Category: Uncategorized
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