Trends and Outliers
TIBCO Spotfire's Business Intelligence Blog
Tag Archives: real-time data
2010
Analytics To Go? Sure, Right Under Your Hood
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What does your car know about you? More than you’d imagine. Data recording chips keep track of engine performance, miles-per-gallon, hard braking or when your engine RPM exceeds a historic average or safe limits. Analytics tools and software charting that once let only mechanics review those details are bringing intelligence out of the engine and onto any fleet manager’s desktop or handheld device via the Web.
Filed under: Business Analytics
Tagged: analytics, Business Analytics, Data Visualization, real-time data
2010
Social Business Intelligence Is No Fleeting Glance
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Business Intelligence (BI) is headed in a new direction – or we should say – the information that is mined for intelligence is coming from more than one direction in the form of conversations – social media conversations to be exact. Our Business Intelligence sources (CRM, analysts, and firms who provide “data”) are competing with new sources – Facebook, Twitter, blogs and other social media platforms.
Filed under: Business Intelligence
Tagged: analytics, BI, Business Intelligence, business intelligence solutions, data mining, real-time data
2010
The Algorithms and Analytics On The Bus Go Round-And-Round
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So, it doesn’t quite have the breezy rhyme of the children’s song, but Boston’s transit agency is more concerned by making bus passengers happy. After the schedule data for five bus routes were made available this year, application developers started building text-message alerts, Twitter feeds and other tools to notify commuters about traffic or service delays. The apps were built so quickly the Massachusetts Bay Transportation Authority decided to release all its bus schedule data and use some advanced real-time systems for analyzing andforecasting when your bus will arrive.
Filed under: Business Analytics
Tagged: analytics, Business Analytics, real-time data
2010
Data Meets Real Life: Visualizing the Gulf of Mexico Spill
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Nothing has produced more news—and news coverage–in the past few weeks than the massive Deepwater Horizon oil spill in the Gulf of Mexico. But one aspect that hasn’t received much media attention is the sophisticated super-computing at work behind the scenes. One dramatic example: The National Science Foundation has made an emergency allocation of 1 million compute hours that will allow the Texas Advanced Computing Center supercomputer to analyze how spreading oil may affect the area’s coastlines.
Filed under: Business Intelligence Tools
Tagged: Business Intelligence Tools, Data Visualization, real-time data
2010
Business Intelligence, In-Memory, In 2 Seconds
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At our recent Tibco Business Intelligence conference, we talked a lot about the “two second advantage.” What is the hook of the two second advantage?
Filed under: Business Intelligence, Enterprise
Tagged: BI, Business Intelligence, business intelligence applications, real-time data
2010
Talking Home Energy Savings Analytics with Martin Flusberg
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Martin Flusberg is CEO of Powerhouse Dynamics, creator of EMonitor, a software and device combination that tracks and analyzes home electrical use down to an individual circuit or outlet. It also delivers reports and comparisons that make it easy for consumers to reduce “phantom” electric used by stand-by devices, or to identify and manage their carbon footprint. A version for small/medium-sized businesses will add a ROI calculator to let users manage energy use in an office or store.
Filed under: Business Intelligence Tools, Energy
Tagged: analytics, Business Analytics, energy savings, real-time data
2010
Adding Intelligence to Your Metrics
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A recent blog posted by Eric Reis in the Harvard Business Review warns of the pitfalls in creating what he refers to as ‘vanity’ metrics. The article raises the importance of understanding influencing factors and working to better instrument analytic program inputs. He goes on to emphasize the need to make metrics more, ‘actionable, available, and auditable’. Breaking down complex market trends to fundamentals observed in controlled phases can ultimately lead to better intelligence and help businesses move beyond the all too common tea-reading exercises.
2010
Real-Time Business Intelligence, Worth the Trouble?
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In this great article on BeyeNetwork, Rick van der Lans looks at Operational (or real-time) Business Intelligence. This is a long read but well worth your time as Rick provides definitions, addresses approaches, references survey materials, and looks at problems, concerns and opportunities for Operational Business Intelligence.
2009
Fraud: The Downturn’s 4-Letter Word for Financial Services
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According to the latest edition of the Kroll Annual Global Fraud Report, the financial services industry is being most severely hit by fraud in the current economic downturn. Kroll notes that the financial services industry is extremely vulnerable to fraud due to “the reduction in internal controls, pay cuts, reduced revenues, and more.”
2009
Speed Kills Or Does It? Using BI to Speed Analytical Latency for Financial Services
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Speed is sexy. Speed is good. Speed is fun. And, ultimately, speed kills. Not kills as in “dead,” but kills as in “nailed it.” In the Financial Services space, speed is generally referred to as and identified by latency. Latency being defined here as a time delay between the initiation of a process and when the effect of the process becomes detected. A simple example could be a change in stock price and the buying or selling that surrounds that change – the amount of time between those two actions is the latency. For financial services firms, latency delays kill, but not in the good way.
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