- 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.
- July 10, 2019
With AI in advertising and marketing, companies can provide potential customers with more personalized results, while also increasing engagement rates.
- June 24, 2019
With its latest update to Power BI, Microsoft showed its commitment to its business intelligence platform and maintained its position as an industry leader.
- May 03, 2019
The spotlight at SAS Global Forum 2019 was on the vendor's Viya analytics tools, which are getting new functionality and licensing options meant to spur deployments.
- April 30, 2019
A new version of the SAS analytics platform adds a variety of AI features to SAS Viya, the cloud-based software that SAS hopes will secure its place in the AI future.
- April 10, 2019
Google introduced a raft of updates to its cloud-based machine learning and AI products, including expanded capabilities for its AutoML and BigQuery ML tools.
- October 12, 2018
With Looker 6, users of the BI platform can now access packaged applications that are designed for uses such as web analytics and digital marketing analytics.
- 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.
- January 17, 2018
The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.
- December 15, 2017
More data doesn't always benefit predictive analytics projects. Data sources must be scrutinized and understood before being used in a predictive model, experts warn at the AI World conference.
- September 14, 2017
Breaking down data silos is rarely easy, but doing so can lead to more effective analytics that bring together data from all of a business's operational systems.
- 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.
- October 27, 2016
There's a huge amount of excitement around IBM's cognitive computing tools, but users are still looking for ways to implement them in their businesses.
- October 13, 2016
In the world of the internet of things, it's one thing to gather mountains of data from an ever-increasing multitude of sensors, appliances, vehicles, smart personal devices and industrial equipment. It's quite another thing to liberate congested ...
- October 06, 2016
Data scientists at Capital One and BuildingIQ use data visualizations to help guide their efforts in developing, training and modifying predictive models for use in advanced analytics applications.
- September 30, 2016
Real-time data processing and analytics technologies are helping companies find useful information in streams of big data so they can quickly take actions to boost their business operations.
- September 28, 2016
Advanced analytics teams may sometimes be inclined to more academic projects, but the path to true value is ensuring that their work closely aligns with core business needs.
- September 23, 2016
Analytics teams might prefer to spend their time developing algorithms, but overlooking the importance of analytics infrastructure could cause problems down the road.
- 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.
- June 17, 2016
Most commercial distributions of Spark offer a cloud option, and these have been popular with customers. But that doesn't mean cloud Spark platforms make sense for every situation.
- June 10, 2016
Now is the time for businesses to think about putting in place machine learning applications to benefit from this hot advanced analytics technology trend.
- March 30, 2016
In big data analytics, some want stronger data privacy regulations, while others want the government out of the picture.
- January 14, 2016
A data-driven company tends to outperform its competitors, but the asset protection process rarely drives continued evolution of analytics capabilities. Grocery chain Weis Markets is the exception.
- November 13, 2015
UPMC and University of Tennessee Medical Center are benefitting from healthcare analytics to reduce their readmission rates. Here's how they're doing it.
- October 12, 2015
Most print media companies have struggled to make money in the 21st century, but The New York Times is using predictive analytics tools to gain a competitive edge.
- 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.
- June 29, 2015
The current mayor of Boston is moving to make data analytics a key part of how city services are run, which is a major departure from his predecessor's approach.
- June 26, 2015
Employers may have trouble finding data scientists and other analysts with all the technical skills they want, but some are starting to zero in on general abilities that can lead to analytics success.
- June 15, 2015
After nearly a year of limited availability, software vendor Databricks has made its cloud-based version of the Spark processing engine generally available.
- May 28, 2015
Varying privacy laws on data collection and analysis in different countries can make unified business intelligence approaches difficult for global companies.
- May 13, 2015
Hospitals are under pressure to cut costs and to restore patients to good health without readmissions. Predictive analytics can help, but providers need a solid plan for using their data.
- May 08, 2015
The healthcare industry is going through a period of rapid adoption of electronic health records, but the systems that enable EHRs may be an impediment when it comes to analytics.
- March 19, 2015
Professional sports teams are increasingly embracing analytics tools to help them implement dynamic pricing strategies designed to enable them to capture as much ticket revenue as possible.
- February 10, 2015
This news recap looks at IBM's announcement of a cloud analytics suite for energy and utility companies and a study showing that anonymized data sets can easily be reidentified.
- January 27, 2015
President Barack Obama has introduced proposals for data security, but not everyone thinks they will address key questions for businesses.
- January 20, 2015
In this news recap, executives assess analytic success and marketers realign their technology spending priorities.
- November 21, 2014
Two new resources released over the past month reinforce the notion that companies are becoming more focused on getting real business value from their analytics initiatives.
- October 11, 2013
Uplift modeling is helping leading-edge marketers and political campaigners to more precisely target the "persuadable" members of their audience.
- May 24, 2013
Michael Minelli, co-author of a book on big data analytics, says in-memory analytics tools must be tied to business processes to pay off for users.
- 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.
- 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.
- September 26, 2011
Increasing patient satisfaction is a critical goal for healthcare organizations of all types, especially in these times of increased competition, scrutiny and demand for services. Business intelligence based on satisfaction analytics can help you ...
- 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 26, 2010
Predictive analytics software holds much promise, but to be effective it must be tied to action, according to experts. Oh, and don’t forget about data governance and data quality.
- 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.
- June 28, 2010
In-database analytics -- the blending of data warehousing and predictive analytics – helps Catalina Marketing foretell consumer behavior.
- June 15, 2010
IBM announced it is acquiring Web analytics vendor Coremetrics, the latest in a series of moves by Big Blue to capitalize on the growing business analytics market.
- December 18, 2007
The Analytical Healthcare Repository (AHR) is a collaboration framework to centralize the management of patient information for analytical purposes.
- February 10, 2005
This is the first article of a five-part series on competitive advantage and the data warehouse.