Today Analytics is the heart of a Business. Companies are challenged with a high volume and broad array of data which requires active and effective analysis. Analysis can help them make enhanced and improved business decisions, and hence help the business to maintain profitability. "Companies need to compete on the basis of key business processes, and how they optimize these processes with analytics," says Thomas Davenport, professor and director of research, Babson College, USA. Business…

As big data use cases proliferate in telecom, health care, government, Web 2.0, retail etc there is a need to create a library of big data workload patterns. . We have created a big data workload design pattern to help map out common solution constructs. There are 11 distinct workloads showcased which have common patterns across many business use cases.

1. Synchronous streaming real time event sense and respond workload
2. Ingestion of High velocity…

Interested in using your skills for a good cause, a great challenge and a $25,000 prize? How about predicting the future of ALS patients?

 Prize4Life is proud to announce the launch of a computational challenge to predict the future progression of disease in Amyotrophic Lateral Sclerosis (ALS), also known as Lou Gehrig’s disease. The …

Recently Yelp was hit with a class action lawsuit for defamatory and fake bad restaurant reviews. Although the lawsuit was dismissed, the plaintiffs claimed that Yelp would post bad reviews of businesses not purchasing $500/month advertising on Yelp. Much of the discussion was…

Actually, these are 7 types of language patterns that are difficult to analyse with automated algorithms:

1. "A land of milk and honey" becomes "A land of Milken Honey" (algorithm trained on Wall Street Journal from the 1980's where Michael Milken was mentioned much more than milk)…

A Big Data decision support system requires particular capabilities in terms of volume, variety of data and processing speed.



Today companies to improve their knowledge models and forecasts, do not hesitate to take into account hundreds of factors, and do not hesitate to bring up new means of analysis that can handle large volumes of data. But the processing of large volumes of data is a challenge for traditional BI infrastructure. Storing large volumes is not a problem, but…

Two weeks ago I attended the Customer Insight & Analytics Exchange in London, in which I participated as a speaker. See Maz Iqbal's account of these two days here:

http://thecustomerblog.co.uk/2012/07/12/customer-insight-analytics-exchange-highlights-from-day-2/

One of my personal highlights from day 1 was Suresh Vittal's presentation (Forrester). He…

Job ads posted on our sister website AnalyticTalent can be posted on AnalyticBridge as well as on our three LinkedIn groups:

• Advanced Business Analytics, Data Mining and Predictive Modeling - …

This post was written by Greta Roberts, CEO, Talent Analytics, Corp. on 18 July 2012. Please comment below!

After attending several analytics conferences over the last month, I’m beginning to understand an important nuance about the community we call “analytics” worked by “analytics professionals” or “data scientists.”  It seems as if the defining boundary of our discipline is almost always that we data scientists apply ourselves…

Announcing the debut of Datastream, Greenplum's official blog, delivering analytics news and exploring emerging data science trends. http://bit.ly/LWAt7c 



We live in a Big Data world, and the data scientist is at the center. Datastream shines a spotlight on the data scientists, practitioners, and innovators who are reaping…

Datashaping.com is now AnalyticTalent.com. If you posted your resume on DataShaping.com or emailed your resume to Vincent Granville for posting on DataShaping.com, you can now check or update your resume on our new website -…

Data Science Central Launches Big Data Job Board at AnalyticTalent.com

Specialized job board for active and passive job candidates identifies the best opportunities for data scientists, data analysts, statisticians, data engineers, and business analysts.

Data Science Central has launched a new…

Like many industries the Infrastructure/Security/Compliance function within large telecom companies is becoming more data driven. Here are 3 powerful use cases which vividly bring out new possibilities in Telecom big data

Telecom use case-1 : Contact centre text mining and Telecom Bandwidth throttling…

“What is the sales value in this month? What is the increased percentage compared with the previous month? Which sales persons are among the top 10?” – The similar data analysis is mostly required in the sectors like commerce, finance, government, and scientific research. SQL usually is the only choice for such kind of analysis.

As a query language initially developed in early 70s, SQL has a relatively higher technical requirement on analysts. Lacking of…