Business Intelligence – The emergence of new data types and diagnostic capabilities requires a shift to more flexible and open infrastructures. However, this doesn’t lessen the centrality of properly defining and addressing business decision problems.
Can Big Data Be Good?
Takeout: Cities like Manhattan are leading the charge in leveraging new data sources and overlays to improve the lives of ordinary people.
Website To Let Shoppers Opt Out Of Location Tracking
Takeout: Evaluate the representativeness of mobile and Wi-Fi tracking data as opt out services become available providing consumers greater privacy.
Source: Research Live
Master Data Management Strategies For Big Data
Takeout: Integrate Big Data and Master Data Management activities to benefit analysis and meta data efforts.
What Executives Should Know About Open Data
Takeout: Tap the growing availability of Open Data to generate insights beyond what’s possible with proprietary data alone.
Source: McKinsey & Company
Big Data Poses An Integrator’s Dilemma For Enterprise IT
Takeout: Prepare for evolving data integration needs through flexible infrastructures and citizen developer empowerment.
Two Days, One Great Mashup
Takeout: Use mashups to combine disparate data sets, creating synergies not possible from the individual pieces alone.
RFID Trends Beyond Retail
Takeout: Watch for the importance of RFID to continue to expand beyond retail as chips and readers become more sensitive and cost effective.
Source: RFID 24-7
The New Focus On Data Integration
Takeout: Rethink your data integration framework as data volume, variety, and velocity increase.
Source: Actian Corporation
Omnichannel Retailing And Data Analytics: Leveling The Playing Field
Takeout: Align touchpoint activities for a seamless consumer experience through omnichannel analytics.
Source: MIT Sloan Management Review
Attention, Shoppers: Store Is Tracking Your Cell
Takeout: Monitor shopper behavior with mobile and Wi-Fi technologies.
Source: The New York Times
The Compelling Case For RFID
Takeout: Leverage RFID not only to better manage inventory but also to improve the customer experience.
Source: Kurt Salmon
Is Data Quality Overrated?
Takeout: Accept imperfect data if good enough to make impactful decisions.
How Wireless Carriers Are Monetizing Your Movements
Takeout: Build cognition of where consumers live, work, and play through mobile data.
Source: MIT Technology Review
Selecting Big Data Sources For Predictive Analytics
Takeout: Begin your Big Data efforts by properly defining the business issue you want to address and reviewing available information already in hand.
Source: SmartData Collective
Data Mashups Will Make The Internet Of Things Useful
Takeout: Expect mashups to transform the value of the Internet Of Things as open standards evolve.
Source: Electronic Design
Takeout: Watch for web applications and policies aimed at overcoming personal privacy issues related to mashups.
Source: Columbia University Fu Foundation School Of Engineering And Applied Science
Customer Analytics: How To Derive Valuable Insights From Big Data
Takeout: Increase the value of transactional data through supplemental intelligence, but do so transparently and authentically to maintain consumer trust.
Source: The Atlantic
The Power Of Transactional Data
Takeout: Transactional data continue to provide significant insight into current and potential future behavior of consumers.
Source: Target Marketing Group and Infogroup
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