Big data analytics
- June 12, 2020
From the moment a script is submitted to the time a movie is released, analytics drive just about every decision made during the making of a feature film.
- December 19, 2019
AI features in BI products improved in 2019, but not at the pace predicted before the year began. Instead, advancement was incremental and consolidation was a dominant theme.
- November 26, 2019
With the ability to answer, 'Why?' at the core of its diagnostic tool, startup analytics vendor Sisu recently entered the market with aims of competing against established vendors.
- November 07, 2019
With BI platforms getting easier to use by the year and enabling more self-service users in process, the value of analytics is being realized by a growing audience.
- November 04, 2019
New Microsoft Azure analytics service provides cloud BI and machine learning, enabling users to do analytics on data in various sources, including data warehouses and data lakes.
- September 27, 2019
A former employee of analytics vendor Qlik’s Singapore subsidiary embezzled nearly $4 million. Ariel Biasong Salamanes worked in the Singapore office’s sales and marketing department.
- June 06, 2019
By acquiring Looker, Google will enhance its analytics and BI capabilities available through Google Cloud, while becoming a formidable force in the enterprise-level BI space.
- May 15, 2019
Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate.
- 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 24, 2019
Experts detail the skills employers want most in data scientists -- notably machine learning and programming languages -- and why often the most valuable expertise comes with time.
- 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.
- March 11, 2019
Data preparation isn't the sexiest topic, but it's critically important to IT and business users, according to a study by Dresner Advisory Services.
- March 01, 2019
Augmented analytics, NLP and graph analytics are changing the data and analytics market, according to Gartner -- enabling users to more easily get at and share data.
- 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.
- 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.
- 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.
- July 25, 2018
With its acquisition of Podium Data, Qlik seeks to amplify its enterprise BI data management capabilities and raise the level of competition with Tableau and Power BI.
- 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.
- May 03, 2018
Self-service BI vendor Qlik is beginning to add a promised set of advanced functionality to its Qlik Sense software, but the features will be delivered in stages.
- 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.
- October 13, 2017
Tableau is adding low-level capabilities to raise its software's standing above that of a data visualization tool for business units and to gain more acceptance enterprise-wide.
- 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.
- 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.
- 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 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
Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.
- 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 14, 2016
Tableau's BI and data visualization tools have primarily been synonymous with basic analytics, but the company is moving to incorporate more advanced analytics capabilities with deeper functionality.
- 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.
- 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 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 31, 2016
Technology consultants and vendor executives share their predictions on likely developments in BI, analytics and big data technologies, and user deployments of them over the next 12 months.
- 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 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.
- April 15, 2016
After achieving Jeopardy! success in 2011, IBM is trying to boost its Watson cognitive computing system back into the spotlight through acquisitions and by building out its Watson-based commercial products.
- 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.
- March 30, 2016
In big data analytics, some want stronger data privacy regulations, while others want the government out of the picture.
- 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.
- January 28, 2016
Data scientist ranks as the top job in America this year, as low supply and high demand mean big money for those who qualify for that emerging IT career.
- 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.
- December 01, 2015
Employees who have BI and big data jobs are feeling pretty good about them, according to TechTarget's 2015 salary survey. High pay and strong job prospects are a couple reasons why.
- November 16, 2015
This episode of the 'Talking Data' podcast discussed how machine learning is being applied to whale identification as part of a programming contest.
- 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 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 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.
- April 27, 2015
At the company's Global Forum this week, SAS Institute introduced several new and upgraded analytics tools.
- April 08, 2015
Tableau's latest release looks to speed up visualizations, while Platfora is hoping analytics can shine a light on cybersecurity threats.
- 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.
- March 17, 2015
In this edition of Talking Data, we discuss why businesses are looking to cloud-based data management systems and how analytics is reshaping sports media.
- 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 13, 2015
To give healthcare providers a real-time view of the claims processing operations its systems support, RelayHealth is augmenting its Hadoop cluster with Spark's stream processing module.
- 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.
- 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.
- July 07, 2014
Spark has been getting a lot of attention lately, but is the big data framework ready for enterprise use?
- May 23, 2014
In this news recap, federal agents use data mining techniques to stop fraud and IBM releases new self-service offerings.
- 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.
- 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.
- 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 06, 2012
Industry analyst Colin White is tired of all the talk about the three V's of "big data." He instead wants to focus on the use cases -- the analytics -- of big data.
- 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.