- June 18, 2020
As the opioid epidemic rages on, SAS has developed tools to help the healthcare and law enforcement agencies involved in the fight against opioid addiction.
- June 12, 2020
Respondents to a Sisense survey say they're relying on data analytics even more now than they were before the COVID-19 pandemic, with small businesses taking the lead.
- May 27, 2020
Data plays a critical role in the decisions organizations make as they bring employees back to work, for both increasing production and managing their physical space.
- April 24, 2020
Cleveland Clinic is using data models developed in concert with analytics software vendor SAS to prepare for a potential surge in patients due to the COVID-19 pandemic.
- April 03, 2020
With health organizations and business leaders alike trying to minimize the effects of COVID-19, analytics is playing a critical role in the decision-making process.
- April 03, 2020
With data skewed by incomplete testing, augmented intelligence and machine learning tools are helping data scientists create predictive models to inform the fight against COVID-19.
- October 23, 2019
Players and coaches in the Women's Tennis Association are now able to discover the tendencies of their opponents within a given point thanks to SAP's Patterns of Play.
- July 25, 2019
In a Q&A, Wayne Eckerson looks at the state of the business intelligence industry, and self-service analytics, and discusses what new innovations excite him about the future.
- April 04, 2019
With the Equifax-FICO alliance, the credit giants are offering a combined Data Decisions Cloud suite they hope can solidify their place in the alternative data market.
- July 19, 2018
Data analytics in government agencies lack organization, focusing on immediate problems instead of attacking underlying causes without a unified strategy or system.
- 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.
- February 13, 2018
IBM's analytics software is strong technically but disjointed and hard to understand, say analysts who think simplifying things should be a priority at the company's Think 2018 conference.
- 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.
- June 07, 2017
When deploying deep learning models into production, experts say it's important to take care of the basics, like model design and testing, to ensure optimal business impact.
- June 06, 2017
Databricks brings new features to its managed Spark platform -- as well as to open source Spark -- that it hopes will make the computing engine more widely usable.
- 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.
- April 19, 2017
To get the most value from investments in advanced analytics techniques, like artificial intelligence and data science, businesses must embrace a specific mindset.
- February 13, 2017
There's no doubt the maturity of Spark development for enterprises has come a long way, but it may still be too 'techy' for some businesses.
- 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.
- January 11, 2017
Many enterprises are struggling with the complexity of today's big data and data science ecosystem, though they recognize the opportunity of emerging practices.
- December 23, 2016
Artificial intelligence applications were all the rage in 2016, but while some delivered impressive results, others didn't work quite as well as developers planned.
- December 22, 2016
The world started to seem like a less predictable place in 2016, and that should throw up caution flags to businesses that heavily leverage predictive analytics models.
- December 21, 2016
GPU technology, once primarily the domain of computer gamers, is getting new legs in systems that run deep learning and AI applications. Experts predict it will be a big part of analytics in 2017.
- November 17, 2016
Nearly all predictive modeling algorithms were way off in picking the winner of the presidential election. What went wrong can strike any predictive analytics project if data scientists and other analysts aren't careful.
- November 01, 2016
When implementing cognitive software, enterprises need to worry just as much -- if not more -- about the business implications, rather than the technical challenges.
- 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
The growing trend of analytics in sports has caused much debate, and even though data-driven decisions can provide some benefits, they're not right for all occasions.
- 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 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.
- August 30, 2016
Businesses are facing unprecedented cybersecurity challenges today, but Hadoop can give enterprises one platform for managing big data and security.
- 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.
- June 21, 2016
The first person to take over the CDO role for the city of Boston is hoping to support existing teams to make government more effective by leveraging data and analytics.
- 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.
- May 23, 2016
Organizations are increasingly looking for ways to capitalize on all of the unstructured data they've been collecting and stashing. Deep learning applications could offer an answer.
- 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.
- February 12, 2016
IoT big data analytics is needed to make sense of the mountains of data coming from industrial equipment and Spark may be up to the task.
- 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 31, 2015
Hadoop is one of the most popular big data technologies. But when it comes to predictive modeling and data visualization, its utility is somewhat limited, users of HP's Vertica system say.
- 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.
- June 30, 2015
Apache Spark is about more than just data processing. The software libraries included in the big data platform make it suitable for a variety of analytics applications.
- 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.
- 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.
- April 27, 2015
At the company's Global Forum this week, SAS Institute introduced several new and upgraded analytics tools.
- March 05, 2015
Analytics are gaining a high profile in sports media, but some fans and commentators say the stats just aren't what they're looking for.
- February 20, 2015
Health data is notoriously difficult to analyze due to privacy rules, but a new project is showing it can be done.
- February 12, 2015
Teradata is the latest technology vendor making a play for businesses looking for easy-to-implement big data apps.
- February 06, 2015
IT observers caution organizations against data for data’s sake, urging instead a focus on the best technology for the business problem at hand.
- 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.
- 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.
- February 14, 2014
Revolution Analytics brings the R programming language to the cloud, while SAS readies a new in-memory analytics platform to run on Hadoop.
- 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.
- October 11, 2013
Uplift modeling is helping leading-edge marketers and political campaigners to more precisely target the "persuadable" members of their audience.
- August 29, 2012
A new Gartner hype cycle breaks down the big data market into 47 technologies and titles, with many clumped along the "peak of inflated expectations."
- August 02, 2012
Attunity and EMC want to make it easier for organizations to replicate "big data" sets, and more big data news from around the Web.
- 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.
- September 15, 2010
The R open source analytics programming language produces stunning data visualizations but requires a statistician’s expertise. Revolution Analytics is trying to change that.
- 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.
- May 24, 2007
Once data patterns have been discovered, analysts must determine whether the correlations are incidental, accidental or in a cause-and-effect relationship.