Advanced analytics software
- July 01, 2020
With embedded analytics as a central tenet, Yellowfin continues to focus on application developers by giving them new tools and updating existing ones in its platform updates.
- March 26, 2020
With COVID-19 forcing software engineers to work remotely rather than together in teams, they'll need to find new ways of collaborating in order to keep up the pace of innovation.
- February 13, 2020
Google's purchase of analytics vendor Looker was approved by a United Kingdom regulatory agency, more than eight months after the acquisition was revealed.
- February 12, 2020
The new Domo BI platform update features a new collaboration with AWS to enable users to work with third-party data and a low-code tool for developers.
- December 23, 2019
Investing in tech startups, including BI vendors, is about finding that quality that makes a company special, according to Vanessa Larco, a partner at New Enterprise Associates.
- December 23, 2019
A strong value proposition is crucial to attracting venture capital investments, said Vanessa Larco, a partner at New Enterprise Associates, in a Q&A about startup BI vendors.
- December 20, 2019
Improved natural language processing tools, more embedded BI applications and an increase in data literacy are among the analytics trends to watch in 2020.
- December 09, 2019
A spate of BI vendors included easy-to-use tools for developers in their recent updates, perhaps marking the start of a new trend in the analytics software market.
- November 20, 2019
Alteryx is focusing on ease of use in new platform updates as it looks to attract users beyond its traditional base of data scientists and data analysts.
- November 13, 2019
The Salesforce and Tableau CEOs appeared together for the first time at Tableau Conference 2019, five months after the analytics vendor agreed to be acquired by the CRM giant.
- October 29, 2019
ThoughtSpot and Qlik CEOs squabble online over controversial but widely used non-compete agreements and the larger impact these contracts have on the IT industry.
- October 25, 2019
Doug Henschen, analyst at Constellation Research, details in a Q&A some of the findings of his recent report on augmented capabilities in BI platforms.
- October 25, 2019
AI is part of BI platforms, but this is only the start of a new analytics generation. In a Q&A, Constellation Research analyst Doug Henschen discusses AI tools in BI platforms.
- 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.
- September 13, 2019
Time had seemingly left Oracle's business intelligence tools behind -- until the vendor responded by consolidating its BI products and catching up to the pace of innovation.
- August 28, 2019
With its latest round of venture capital funding, ThoughtSpot is planning to invest heavily in product improvement while also pondering a potential initial public offering.
- June 21, 2019
Analytics and BI vendor MicroStrategy sells the Voice.com domain name and moves forward with product R&D in a competitive market that is consolidating quickly.
- May 15, 2019
The Sisense merger with Periscope Data is expected to create a new, combined BI product that will cater to casual business users and advanced data scientists alike.
- 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.
- April 08, 2019
On the eve of Google Cloud Next '19, experts assess the impact of Google's BigQuery ML since its release and their hopes for the automated machine learning tool's 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.
- April 02, 2019
SAS' new AI initiative includes a $1 billion investment and partnership with AI chip vendor Nvidia. The goal is to bring advanced AI tech to end users.
- March 19, 2019
Tableau's partnership with AI speech analytics vendor VoiceBase enables users both inside and outside of the contact center to easily derive insights from speech analytics data.
- March 14, 2019
The NYPD has rolled out Patternizr, a machine learning algorithm that helps analysts identify crime patterns but highlights the complexity around eliminating AI bias in real-world systems.
- November 29, 2018
Sisense Hunch, a new Sisense BI tool, enables big data analytics for IoT devices by using deep learning to automatically extract insights from big data.
- November 15, 2018
Part of the ThoughtSpot 5 update, which adds a number of upgrades to the BI platform, SearchIQ allows users to take advantage of conversational analytics.
- October 01, 2018
Cognos Analytics' new features include an AI assistant that responds in natural language, predictive analytics capabilities and tools for better data storytelling.
- September 17, 2018
New Tibco AI and natural language processing functions in the soon-to-be-released Spotfire X look to create a simpler and faster experience for self-service BI users.
- September 12, 2018
By using the best mass media BI practices, from data visualization to measuring metrics, companies like Condé Nast and Comcast are attracting consumers and raising revenues.
- August 30, 2018
The latest version of Alteryx's data preparation and analytics software adds new visualization capabilities -- something that beta user Voxx Analytics says was needed.
- July 27, 2018
Google is enabling BigQuery users to build SQL-based machine learning models inside the cloud data warehouse via a BigQuery ML technology now out in beta.
- June 13, 2018
Tableau acquires AI startup Empirical Systems in a plan to provide users with automated data modeling capabilities and enable broader BI and analytics applications.
- 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.
- 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.
- August 16, 2017
Using more GPUs when training deep learning models doesn't always deliver faster results, but new software from IBM shows it can be done.
- July 31, 2017
Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention.
- June 29, 2017
A new breed of data analytics tool for data scientists aims to deliver far more than BI software, including predictive analytics and exploratory analytics.
- 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.
- April 12, 2017
Sisense is betting that machine learning algorithms can improve its data discovery experience, a move that could soon become the new standard in self-service analytics.
- 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 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 18, 2016
Enterprises are increasingly putting data visualization tools, like Tableau, at the top of their big data platforms to start making sense out of complex data.
- 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 25, 2016
Users increasingly want data preparation to be tightly integrated into the analytics process to shorten time to insight, and Pentaho's new 7.0 software release aims to satisfy that need.
- 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.
- 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 30, 2016
As part of its Tableau 10 release, Tableau has added several new features to the self-service BI and data visualization software in an effort to improve data preparation and deepen analysis.
- 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 14, 2016
With the release of SAS Viya, which is accessible to open source tools, the company is moving away from its traditional approach of releasing a complete piece of software.
- 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.
- 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 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 30, 2016
In big data analytics, some want stronger data privacy regulations, while others want the government out of the picture.
- February 19, 2016
This year's Magic Quadrant report from Gartner on business intelligence and analytics platforms reflects a shifting market for BI reporting tools and includes some big changes in its vendor rankings.
- 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.
- 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.
- September 17, 2015
Two new products from Skytree and Arcadia Data want to bring BI and analytics to Hadoop, without sacrificing speed or enterprise scalability.
- 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 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.
- 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
Spark Summit 2015 brought announcements that data scientists and other users will soon have two cloud-hosted options to run the big data framework. This podcast takes a deeper look.
- 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 24, 2015
The Apache Spark engine can be a powerful tool for encouraging big data adoption among front-line workers thanks to its fast processing speeds.
- 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.
- April 27, 2015
At the company's Global Forum this week, SAS Institute introduced several new and upgraded analytics tools.
- April 16, 2015
Gartner's 2015 Magic Quadrant report on business intelligence says more users are gravitating toward decentralized BI platforms -- leaving IT teams trying to catch up on governance.
- March 24, 2015
Technologies that support real-time data streaming and analytics aren't for everyone, but they can aid organizations that need to quickly assess large volumes of incoming information.
- 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 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.
- 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.
- January 29, 2015
TechTarget's 2015 IT Priorities Survey shows that while businesses are still investing in basic BI and data warehousing capabilities, big data initiatives are becoming almost as prevalent.
- March 05, 2014
There are risks to be aware of when business users take responsibility for self-service business intelligence, but there are ways to mitigate them.
- February 28, 2014
Data discovery tools are a high priority for businesses, but vendor products can be lacking, the latest Gartner Magic Quadrants say.
- 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 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.
- May 24, 2013
C-level execs need to rely more on data and less on instincts to capitalize on big data technology, said speakers at the 2013 MIT Sloan CIO Symposium.