News
Business intelligence data mining
- March 23, 2018
23 Mar'18
Cambridge Analytica-Facebook case shows need for ethical data mining
Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.
- May 23, 2017
23 May'17
Experts share must-have data science skills beyond coding and math
Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.
- March 08, 2017
08 Mar'17
Analytics teams give data science applications real scientific rigor
Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.
-
- February 28, 2017
28 Feb'17
Successful data science process not simple to set up, sustain
Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.
- February 15, 2017
15 Feb'17
Spark gives genomic data analysis applications a big data charge
Scientific researchers need robust big data architectures to solve the challenges of mining and analyzing genomic data, and some say the Apache Spark engine is well-suited for the job.
- February 06, 2017
06 Feb'17
Tools for predictive analytics took a hit in presidential election
Tools for predictive analytics can help guide decision-making in companies and political campaigns, but the 2016 election showed that emotion is still a powerful factor for voters.
- February 06, 2017
06 Feb'17
Don't learn lessons on predictive modeling techniques the hard way
Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.
- July 08, 2016
08 Jul'16
Mainstream Hadoop users zero in on business benefits of big data
Selling business executives on the value of big data analytics applications is becoming a to-do list item for more IT managers who look to deploy Hadoop clusters in their organizations.
- July 07, 2016
07 Jul'16
Data science as a service provides instant access to analysts
Data scientists are in high demand, but in such scarce supply that some companies outsource their data for analysis. DataScience Inc. CEO Ian Swanson explains how it works.
- March 31, 2016
31 Mar'16
Building data science teams takes skills mix, business focus
In a panel discussion at Strata + Hadoop World 2016, managers of data science initiatives discussed how to structure and lead teams of data scientists for effective big data analytics.
-
- December 16, 2015
16 Dec'15
Top data analysis software and techniques stories of 2015
As 2015 comes to an end, it's time to review some of the biggest developments and trends in the world of BI and big data, including how sports teams, hospitals and data-driven executives pushed ahead on analytics.
- September 22, 2015
22 Sep'15
Analytics execs reveal how to hire data scientists
Hiring a data scientist can be a big investment, so businesses need to know how to optimize the process. As a guide, some experienced analytics managers discuss their hiring strategies.
- August 21, 2015
21 Aug'15
Providers find routes to healthcare data analytics
The record-keeping systems used by most healthcare providers don't make analyzing the data easy, but some providers are finding a way around these challenges.
- August 05, 2015
05 Aug'15
Building predictive models more about value than glamour
Predictive modeling can help turn high-profile data scientists into public figures. But in business applications, it demands attention to detail, process and, ultimately, business value.
- February 20, 2015
20 Feb'15
MIT project reveals way forward for health data analysis
Health data is notoriously difficult to analyze due to privacy rules, but a new project is showing it can be done.