Can you make it such that—most calls are recorded—you can look at the calls after and figure out key things, see patterns via big data? And can you actually apply that?
via Xerox’s CEO Wants to Shake Up the Services Market | MIT Technology Review.
Tag Archives: data modeling
Why My Team Went with DynamoDB Over MongoDB
Even though our team specializes in MongoDB (and initially considered using CouchDB), we ended up using Amazon’s DynamoDB to complete the task. Here are the steps that led to the decision:
Yammer Competitor Jostle.me Raises $3.1M For Enterprise Sharing Platform Anchored By Pictures, Not Text
Visualization is what binds Jostle.me. You can view activities that are popular across the organization and how people relate to each other.
I find it interesting the different ideas people come up with. This might be useful in certain situations.
Obama Wins: How Chicago’s Data-Driven Campaign Triumphed
For all the praise Obama’s team won in 2008 for its high-tech wizardry, its success masked a huge weakness: too many databases. Back then, volunteers making phone calls through the Obama website were working off lists that differed from the lists used by callers in the campaign office. Get-out-the-vote lists were never reconciled with fundraising lists.
via Obama Wins: How Chicago’s Data-Driven Campaign Triumphed | TIME.com.
The new megafile didn’t just tell the campaign how to find voters and get their attention; it also allowed the number crunchers to run tests predicting which types of people would be persuaded by certain kinds of appeals.
Welcome to Hive!
Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. Hive provides a mechanism to project structure onto this data and query the data using a SQL-like language called HiveQL. At the same time this language also allows traditional map/reduce programmers to plug in their custom mappers and reducers when it is inconvenient or inefficient to express this logic in HiveQL
via Welcome to Hive!.
Everything You Wanted to Know About Data Mining but Were Afraid to Ask
With data mining it is possible to let the data itself determine the groups. This is one of the black-box type of algorithms that are hard to understand. But in a simple example – again with purchasing behavior – we can imagine that the purchasing habits of different hobbyists would look quite different from each other: gardeners, fishermen and model airplane enthusiasts would all be quite distinct. Machine learning algorithms can detect all of the different subgroups within a dataset that differ significantly from each other.
Groupon scoops up Silicon Valley startup Adku
Adku was founded in San Francisco a year and a half ago by a group of former Google employees. It specializes in using data to craft personalized shopping experiences on the Web and has financial backing from high-profile venture capital firms such as Greylock Partners and Battery Ventures. The latter firm is also an investor in Groupon.
via Groupon scoops up Silicon Valley startup Adku – chicagotribune.com.
From www.adku.com
Adku started a year and a half ago from our passion for big data and a desire to create products that would instantly and automatically give users a more personalized experience. We had ambitious goals and some of the most rewarding and busy days of our lives. We were also fortunate to assemble an amazing team of engineers and investors and create something special.
Open ModelSphere – Free Modeling Software Open Source GPL
Open ModelSphere is a powerful data, process and UML modeling tool.
via Open ModelSphere – Free Modeling Software Open Source GPL.
Comparison of data modeling tools
This article is a comparison of data modeling tools which are notable, including standalone, conventional data modeling tools and modeling tools supporting data modeling as part of a larger modeling environment.
via Comparison of data modeling tools – Wikipedia, the free encyclopedia.