Business intelligence data mining
- June 04, 2020
The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door.
- January 31, 2020
Joe Hellerstein, co-founder and CSO of Trifacta, talks about data wrangling and the ongoing trend of migration to the cloud, among other data management topics.
- January 31, 2020
Joe Hellerstein, co-founder and CSO of data wrangling software vendor Trifacta, discussed the benefits of data wrangling and the cloud migration trend, among other topics, in a Q&A.
- December 12, 2019
There's no such thing as a data science unicorn, U.S. government experts caution. You'll need more than programmers and technical expertise on your data science team.
- October 08, 2019
GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS.
- September 24, 2019
TigerGraph, a graph database vendor, now offers a native cloud database-as-a-service product with its newest release.
- August 23, 2019
With more and more museums using data to inform their decision-making processes, visitors are reaping the benefits by enjoying a better user experience.
- August 02, 2019
Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics.
- May 15, 2019
Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate.
- March 23, 2018
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Health data is notoriously difficult to analyze due to privacy rules, but a new project is showing it can be done.
- January 27, 2015
President Barack Obama has introduced proposals for data security, but not everyone thinks they will address key questions for businesses.
- May 23, 2014
In this news recap, federal agents use data mining techniques to stop fraud and IBM releases new self-service offerings.
- February 27, 2014
Creating an analytics architecture out of thin air may seem like a daunting task, but it can help make businesses more competitive in a hurry.
- October 17, 2013
Big data gets a lot of hype, but when it comes to developing predictive models, it may not be as useful as some think.
- August 27, 2012
Giving analytics professionals control of small amounts of space in data warehouses lets them experiment with data sets in a managed environment.
- August 03, 2012
Data scientists are hot, but, according to Teradata's Bill Franks, hiring one means asking different questions than you would a statistician or data modeler.
- January 12, 2012
In an interview, analytics and data mining consultant John Elder offers advice on managing successful predictive modeling initiatives and a head’s up on common mistakes to avoid.
- January 10, 2012
To generate useful predictive analytics results, predictive modeling teams need a combination of analytical and business know-how plus close ties to business users, say analytics pros and consultants.
- January 01, 2012
A shortage of skilled data scientists and a user-unfriendly set of technologies are the biggest obstacles impeding big data analytics programs, say analysts and IT professionals.
- November 29, 2011
Unleashing “big data” onto predictive analytics tools could translate into improved business strategies. Discover best practices for traveling down the advanced analytics and big data road.
- October 26, 2011
SAS has partnered with Teradata and EMC Greenplum to release a high-performance analytics computing platform to handle 'big data.'
- October 02, 2011
Skilled professionals known as data scientists have become highly sought-after by companies such as LinkedIn, Facebook and Google to perform advanced analytics on growing data sets.
- August 30, 2011
While conventional business intelligence drills into historical data, big-data analytics often adds a forward-looking dimension in an effort to help users unlock predictive insights.
- March 17, 2011
IBM vice president Deepak Advani talks about the company’s SPSS acquisition, predictive analytics strategies and the future of the "Jeopardy!"-winning Watson system.
- February 23, 2011
SAP today unveiled BusinessObjects 4.0, the highly anticipated update to its flagship BI and analytics platform.
- December 22, 2010
The Orlando Magic basketball team is proving that advanced analytics software is becoming a real game changer for the sports business.
- December 06, 2010
Get the best predictive analytics strategy and planning tips from the recent Marketing Analytics 2010 conference in Boston.
- October 05, 2010
Packaged business analytics tools can help guide the process of aligning business and IT goals, but there are some drawbacks, according to analysts and technology professionals.
- August 24, 2010
Data analytics can help drive better business decisions, according to users and analysts. But creating an analytics business culture usually requires high-level executive support.
- August 18, 2010
While it may be tempting to place an advanced data analytics team within IT or a BI group, experts say most successful analytics initiatives take a more decentralized approach.
- August 17, 2010
Data analytics skills are in high demand, so organizations looking to start a business analytics program and staff up an analytics team had better be ready to open their checkbooks.
- August 05, 2010
Gartner’s Bill Gassman says organizations should tap pattern recognition to make the most of growing data volumes.
- August 21, 2007
Much has been written and marketed about the compelling need to analyze unstructured data. Learn what retailers are REALLY doing with text mining to drive business benefits.
- December 20, 2005
Organizations can provide and get value from statistical analysis without an in-house consultant with a PhD in statistics.