Treasure Data Launches Cloud-Based Data Warehouse With Investment From Ruby Creator Yukihiro “Matz” Matsumoto. Cloud-based data warehouse company Treasure Data officially opened its doors this week with $1.5 million in funding that includes an investment from Yukihiro “Matz” Matsumoto – the creator of the Ruby programming language.
The other investors include angel investor Bill Tai; Naren Gupta of Nexus Venture and a director with Red Hat and TIBCO, as well as the people behind Gluster and Heroku. Gluster sold to Red Hat last year and Heroku is now part of Salesforce.com. Treasure Data has developed a service that brings high-end analysis to the business or business unit that has traditionally not had the resources to afford a solutions from companies like IBM, Oracle or Teradata.
Founder and CEO Hiro Yoshikawa says the total cost of ownership for a data warehouse suite from one of the enterprise players can cost as much as $5 million. In contrast, Treasure Data is a subscription service that, at the low end, costs $1,500 per month or $1,200 per month with a 12-month commitment.
Privacy. How Target Figured Out A Teen Girl Was Pregnant Before Her Father Did. Target has got you in its aim Every time you go shopping, you share intimate details about your consumption patterns with retailers.
Which 'big data' are you talking about? Late last year I posted a blog item about big data and if/when it would present opportunities for storage vendors.
I concluded by saying that, while it was a bit early for next-year prognostications, I expected to see the number of storage devices aimed at analytics applications blossom in 2011 with more storage vendors pursuing the opportunity. Big Data’s Impact in the World. News Desk: What Facebook Can Sell. There’s a cute story on the eighty-fifth page of Facebook’s I.P.O. prospectus—its S-1—the massive regulatory filing the company sent to the S.E.C.
Google Pours “Incredible” Computing Power into Antibody Drug Discovery With Adimab. Luke Timmerman2/3/10 Google is the undisputed king of Internet search and advertising, but its second act as a company might be to invent a new computer model for efficiently discovering targeted antibody drugs.
“Google is committing incredible resources to it. Google offers scientists epic computing power - Oddware. New program to harness Google’s massive computing power. Today, Google announced Google Exacycle for Visiting Faculty, a new academic grant program that will provide 1 billion hours of computational core capacity to a small group of qualified researchers.
These researchers are tackling a variety of problems that require massive amounts of computational power to advance their disciplines. Google Correlate: Your data, Google's computing power. Google Correlate is awesome.
As I noted in Search Notes last week, Google Correlate is a new tool in Google Labs that lets you upload state- or time-based data to see what search trends most correlate with that information. Correlation doesn’t necessarily imply causation, and as you use Google Correlate, you’ll find that the relationship (if any) between terms varies widely based on the topic, time, and space. Personalization tools help customers with purchases and let merchants cross sell. Personalization tools help customers with purchases and let merchants cross sell.
Personalization - More merchants plan to personalize. Lauren Freedman, president of The E-tailing Group Personalization is becoming far more common on retailers’ web sites as merchants seek to bolster their bottom line with upsells and cross-sells, according to a new report and survey from personalization technology vendor MyBuys Inc. and research firm The E-tailing Group Inc.
The report found that 42% of merchants say they provide some personalization, 26% say their post-order e-mails are sent based on consumers' previous purchases, 25% say their site greets returning consumers by name and 18% say their site recommends products based on past customer purchases. Each of those features are set to rise, as 34% say they plan to add personalization this year.
Moreover, 52% of merchants say they plan to pursue personalization initiatives to improve their sites’ performance, up 26.8% from 41% in 2009. But it’s not all about meeting consumer expectations, it’s also about increased revenue, says Freedman. Difference between BI and ERP reports: Welcome to the part II of Difference between BI and ERP reports..
Before proceeding further, let me tell you that the target audience for this blog post is Business User. However, even if you are an IT professional, you are welcome to read it and give your comments (though you will find it a bit simple but that is because it is intended for Business users). I got a pretty encouraging response to my first post on this topic. The very first response I got after posting this thread's link in my LINKED IN profile was “what is the difference between BI and DW (read. Web-only - E-retailer BeachMint raises $35 million in funding. BeachMint Inc., the e-commerce company behind such subscription-based fashion e-retail sites as JewelMint.com, StyleMint.com and BeautyMint.com, has raised $35 million in its latest funding round, bringing its total funding to more than $75 million. The retailer, which launched late in 2010, says it intends to use the money to expand to new markets and that it will launch two more e-commerce sites in the coming months.
New investors who participated in this investment round include venture capital firms Accel Partners and New World Ventures, as well as investment bank Goldman Sachs. Existing investors also participated. Personalization - Groupon launches features to keep merchants happy—and away from rivals. In the face of growing competition from LivingSocial.com and other online daily-deal companies, Groupon is rapidly introducing services and features aimed at pleasing its merchant participants, still mostly local businesses, although a few national retailers like Gap and American Apparel have tested Groupon offers as well. Among these features is the merchant-facing hub called GrouponWorks.com that helps business owners calculate how many vouchers they should offer based on their capacity, industry and such specialized data as a restaurant’s table turn rate or the number of sales clerks on staff. If a manicurist with a small shop wanted to offer 3,000 vouchers, Groupon likely would advise against it.
Business analytics and business intelligence leaders - Pentaho. Groupon Chooses the Vertica Analytics Platform to Gain Insight into Subscriber and Customer Behavior. Groupon, a shopping Web site that offers daily deals on the best local goods, services, and events, has chosen the Vertica Analytics Platform for analyzing subscriber behavior and to scale its business intelligence capabilities.
The Vertica Analytics Platform was selected after an evaluation process where Vertica surpassed other companies in meeting Groupon’s requirements for parallel data loading, query performance, and simplicity. Vertica’s ability to deploy on the Amazon Elastic Cloud Computing (EC2) offering was also appealing to Groupon. Groupon, having chosen Vertica, is now in a position to analyze the relationships among its massive amounts of data and to associate revenue and other metrics to individual users. “As Groupon continues its rapid expansion into new markets, we see advanced analytics as a key component to achieving our subscription, revenue, and customer satisfaction targets,” said Mark Johnson, chief data officer at Groupon, in a statement.
Amazon. IBM. Apex-backed startup brings data analytics to the moving business. By Steve Hendershot When Chicago entrepreneur Ross Shelleman bought the rights to introduce PODS moving and storage facilities in Australia in 2006, he and partner Andrew Hamilton quickly noticed it was challenging to identify potential customers; traditional database marketing yielded poor results. So Mr. Shelleman built a new system to identify homes listed for sale, introduced it in 2008 and had much better success. Soon he and Mr. Hamilton founded Target Data Inc. in Chicago and launched the data business in the U.S. with PODS as a customer. That company, Target Data Inc., raised $3 million in venture capital last April in a funding round led by Chicago-based venture capital firm Apex Venture Partners, and now Mr.
Mr. Oracle Selects Cloudera to Provide Apache Hadoop Distribution and Tools for Oracle Big Data Appliance. How Google and Facebook are using R « Dataspora. Cambridge, Mass. – March 4, 2011 – Via Science announced the acquisition of Dataspora, a predictive analytics firm that helps companies solve complex big data problems. The acquisition helps strengthen Via Science’s positioning to support the consumer packaged goods and retail sectors, areas of focus for Dataspora. REFS™ provides the ability to leverage causal mathematics at scale with its supercomputing platform. Predictive analytics. By Uday Tennety: Director, Advanced Analytics Services at Revolution Analytics The R ecosystem has become widely popular lately with large players such as Pivotal, Tibco, Oracle, IBM, Teradata and SAP integrating R into their product suites.
All these big players are using value chain integration and platform envelopment strategies to build a network effect in order to gain maximum leverage against their competitors in the Big Data and Analytics space. Why eBay is buying recommendation engine Hunch. “Next Best Offer” Analytics: Ebay, Schwan Foods and Tesco. A common CMO issue… Digital marketing is not working. Visits are up but Sales are down, Site conversion is trending down. E-mail open rates are ok but click thru rates are down. Do We Need Doctors Or Algorithms? Editor’s note: This is Part II of a guest series written by legendary Silicon Valley investor Vinod Khosla, the founder of Khosla Ventures. Data Analytics: So, What's Your Algorithm?