Over at InfoQ, Vikram Gupta writes that analytics Startup QuantCell Research has released their first public beta of what they are positioning as their “Big Data” spreadsheet.
At first blush one might presume that QuantCell is some Java Swing version of yet another spreadsheet program. In actuality it is the latest taxon in the phylogenetic tree of the computer spreadsheet evolution that started with VisiCalc in the late 1970’s, and is now dominated by Microsoft Excel, certainly one of the most popular computer programs of all time. Where prior incarnations of the spreadsheet category were restricted by the rows, columns and functions that were vested into it by the programmer, QuantCell is consummately extensible thanks to its knowledge of Java and JVM languages. Most recently QuantCell has found a niche in big data, providing templates for quickly entering Map and Reduce formulae into its latticework. At its most basic level QuantCell cells can accept not only the traditional functions generally associated with a spreadsheet; they can also contain instantiations of Java (or Scala or Jython or R) objects.
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Over at the Montreal Gazzette, Joseph Czikk writes that Plot.ly is a new online platform that allows users to create and collaborate on publication-quality graphs and charts that require large amounts of data. More powerful than Microsoft Excel or Google Docs, it enables data analysts to work together in real-time.
Plot.ly is the first tool where teams that have to work on data-driven problems together can rapidly share and annotate their graphs and results through the cloud,” said co-founder Chris Parmer.
The Montreal company is looking to make a dent in the data visualization market with a seed-funding round of $1.5 million. Read the Full Story or sign up to start using Plot.ly today.
Over at CNN Money, By JP Mangalindan writes that while many organizations continue to struggle to make sense of Big Data, a new Startup called Optensity has built a system that assists decision-making without worrying about where the data is located, how it’s formatted, and how it’s changing.
One thing popping up is called the “Internet of Things,” said Optensity Founder and CEO Pamela Arya. “That’s an example where we think our tool could be really useful in the future. Because the Internet of Things is basically a world of sensors, where you would compute on the sensor as the data is throwing off the sensor to find out interesting things. Hey, nobody’s been in the house for a while, but the air conditioner is still running. That kind of thing. So you needs two sensors there: a physical sensor. No one’s moving around. Another sensor saying the air conditioning’s running. So those kinds of problems are where we see the future of where data is going.”
Next week, Optensity will compete at this year’s Startup Idol competition during Fortune’s Brainstorm Tech conference in Colorado. Read the Full Story.
In this podcast, Deepak Jeevan Kumar from VC firm General Catalyst Partners describes his efforts to help entrepreneurs with disruptive ideas in big data, cloud computing, data center infrastructure, cyber-security, and clean energy.
Deepak Jeevan Kumar has been with General Catalyst since 2010, first in Boston and later in the firm’s Palo Alto office. He specializes in incubating and launching big data and cloud computing startups. Deepak has been closely involved in General Catalyst’s investments in AltiScale, DataGravity, ParElastic, Push Computing, Sunglass.io and Virtual Instruments. Prior to joining GC, Deepak led Sun Microsystems’ high performance computing work in the Asia-Pacific region. He has the distinction of being a key architect of a few top 10 supercomputers in the world. He also had a short stint at the Yale Investments office. Deepak is a graduate of the National University of Singapore, earning a B.Eng. in Computer Engineering; the Singapore-MIT Alliance, earning a S.M. in Computer Science; and the Yale School of Management, earning an M.B.A.
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Over at GigaOM, Derrick Harris writes that there are now more choices for businesses that want out-of-the-box functionality for machine learning, predictive analytics and general data science.
An offspring of Greenplum (former Greenplum parent company EMC is an investor, in fact), Alpine Data Labs is doing what amounts to Microsoft Visio for predictive analytics. Its software sits right inside a company’s data store (that can be Hadoop or any number of popular databases) and lets users analyze the data by drawing flow charts. It’s a little more complex than just pulling down a menu and selecting “cluster,” but it’s a whole lot easier than trying to code those functions.
Harris also looks at Context Relevant, Datameer, Skytree, and Wise.io.
Over at Entrepreneur Magazine, Mikal E. Belicove writes that of the power of Big Data for small business is “knowing the now.”
If your business can gain insight from data-logging sensors, you can distill that knowledge into timely, intelligent decisions and trigger the right action at the right time. Or, put another way, today you no longer use data to see what happened; instead you use it to see what’s happening in real time, which allows you to pinpoint your marketing, improve service, reduce costs and save time. The possibilities are endless.
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In this video, CRM Software analyst Ashley Verrill discusses “Lean Analytics” with author and veteran entrepreneur Alistair Croll.
Lean Analytics is the dashboard for every stage of your business, from validating whether a problem is real, to identifying your customers, to deciding what to build, to positioning yourself favorably with a potential acquirer. It can’t force you to act on data–but it can put that data front and center, making it harder for you to ignore, and preventing you from driving off the road entirely.