Data science and analytics
As businesses' data volumes continue to expand, data science has become vital for to inform decision making, strategic planning and marketing techniques. Learn about the latest data science and analytics techniques businesses are incorporating to help identify opportunities to streamline processes, identify potential business ventures and improve customer service.
Top Stories
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Feature
21 Nov 2024
Business intelligence reporting: What it is, how it works
BI reporting presents data in various formats so employees can interpret and act on that information in a timely manner without relying on a data analyst. But challenges exist. Continue Reading
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News
20 Nov 2024
Snowflake partners with Anthropic to improve AI development
The alliance aims to make it easier and faster for the data cloud vendor's customers to use the Claude line of large language models when developing advanced applications. Continue Reading
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News
04 Apr 2019
Equifax and FICO unite to move into alternative data market
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. Continue Reading
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News
02 Apr 2019
$1 billion SAS AI investment recharges vendor's mission
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. Continue Reading
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Feature
01 Apr 2019
Qlik Research head talks Associative Engine, NLP and Data Swarm
Elif Tutuk, research head at Qlik, discusses projects her team is working on -- including a smarter Associative Engine, multi-attribute visualizations and NLP. Continue Reading
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Feature
28 Mar 2019
Analytics an uneasy balance between data collection and privacy
In the age of GDPR and privacy regulations, attention must be paid to user privacy. Data management tools that employ AI as part of analytics can help achieve that. Continue Reading
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News
19 Mar 2019
Tableau-VoiceBase deal brings speech analytics data to users
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. Continue Reading
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News
14 Mar 2019
NYPD's Patternizr crime analysis tool raises AI bias concerns
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. Continue Reading
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News
11 Mar 2019
Users find data preparation tools vital to BI strategies
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. Continue Reading
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Feature
01 Mar 2019
Augmented analytics tools, NLP search, graph are trending
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. Continue Reading
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Feature
28 Feb 2019
3 best practices for harnessing social media analytics data
How can organizations leverage social media analytics data? Analytics professionals offer tips, starting with picking metrics that track to your goals. Continue Reading
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Feature
22 Feb 2019
What to consider when choosing big data file formats
While JSON may be the go-to data format for developers, Parquet, ORC or other options may be better for analytics apps. Learn more about big data file formats. Continue Reading
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Tip
08 Feb 2019
Expert urges data pros to hone data science skills
IT expert William McKnight shares job tips for data professionals looking to prosper in a changing enterprise. His first piece of advice: continually foster data science skills. Continue Reading
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Feature
31 Jan 2019
Demand for data scientists is booming and will only increase
Fueled by big data and AI, demand for data science skills is growing exponentially, according to job sites. The supply of skilled applicants, however, is growing at a slower pace. Continue Reading
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Tip
30 Jan 2019
Better sentiment analysis can bolster customer data analytics
Customer data analytics are easy to gather in the social media era -- but they can be misleading if based on sentiment analysis culled from automated social media monitoring. Continue Reading
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Feature
16 Jan 2019
AI, graph databases among top BI and analytics trends
Leading trends in BI and analytics include machine learning, multi-cloud and graph databases. IT expert William McKnight details in a webinar how they'll affect enterprises. Continue Reading
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Feature
21 Dec 2018
How the rise of augmented analytics tools affects BI vendors
BI vendors are responding to interest in augmented analytics capabilities with simplified interfaces and features that allow for access to deeper insights. Continue Reading
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Feature
18 Dec 2018
Why data literacy skills still matter with augmented analytics
Democratizing data analytics gives everyone access to tools and information, but data literacy is still required for analyzing data and delivering successful outcomes. Continue Reading
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Feature
17 Dec 2018
The benefits and challenges of augmented data discovery tools
Augmented data discovery tools enable users to gain faster insights into data, via automated data prep and pattern discovery, but they aren't without their challenges. Continue Reading
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News
29 Nov 2018
Deep learning in big data analytics with Sisense Hunch
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. Continue Reading
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Answer
26 Nov 2018
What data management challenges do analytics programs face?
Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading
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News
15 Nov 2018
ThoughtSpot SearchIQ enables voice analytics
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. Continue Reading
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Tip
02 Nov 2018
6 big data visualization project ideas and tools
These data visualization project examples and tools illustrate how enterprises are expanding the use of "data viz" tools to get a better look at big data. Continue Reading
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Tip
18 Oct 2018
3 ways to make machine learning in business more effective
Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making. Continue Reading
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Infographic
01 Oct 2018
Automated predictive analytics tools spawn wannabe scientists
They don't own the same depth of data science skills, but automated predictive analytics tools hatch a new breed of 'data scientists' who can produce actionable predictive models. Continue Reading
- 01 Oct 2018
- 01 Oct 2018
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Feature
01 Oct 2018
Augmented analytics, automated tools facilitate data analysis
From Tableau to Google, vendors increasingly incorporate augmented and automated analytics tools into their software to speed analytics work and open it up to more users. Continue Reading
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Opinion
01 Oct 2018
Augmented analytics reveals the hidden side of things
The rise of augmented analytics empowers businesses to find correlations in data that might very well be the critical difference in operational efficiency and cost savings. Continue Reading
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News
17 Sep 2018
Tibco analytics capabilities get upgrade in Spotfire X
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. Continue Reading
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News
12 Sep 2018
Using visualizations and analytics in media content
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. Continue Reading
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Feature
15 Aug 2018
Reddit and the aspiring data scientist
For amateur data scientists, Reddit provides the opportunity to post about personal projects, chat with like-minded people and get free advice from a large community. Continue Reading
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Podcast
08 Aug 2018
Talking Data: AI advances and the MIT Startup Exchange
The Talking Data podcast team discusses some of the MIT startups that are making advances in AI and natural language processing. Continue Reading
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News
27 Jul 2018
BigQuery ML moves machine learning into Google BigQuery
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. Continue Reading
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News
19 Jul 2018
Data analytics in government efforts lack structure
Data analytics in government agencies lack organization, focusing on immediate problems instead of attacking underlying causes without a unified strategy or system. Continue Reading
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Answer
19 Jul 2018
How do augmented analytics and BI tools differ?
See how augmented analytics compares to traditional BI and self-service analytics tools and what this new generation of AI-powered data analysis platforms can deliver. Continue Reading
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News
23 Mar 2018
Cambridge Analytica-Facebook case shows need for ethical data mining
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. Continue Reading
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Feature
15 Mar 2018
Rethinking analytics processes spurs enterprise innovation
By taking a fresh look at the makeup of their analytics organizations, enterprises can innovate their business models and take advantage of digital disruption. Continue Reading
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Feature
14 Mar 2018
Diversified data sets for analytics deliver top results
Analytics teams should focus on data diversity to ensure that their projects deliver the most meaningful insights -- but they must be wary of some stumbling blocks. Continue Reading
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Podcast
26 Feb 2018
Newest AI technology set to disrupt tech sector, job markets
Emerging AI technology will lead to the creation of influential new software companies and disrupt job markets, says a Goldman Sachs researcher -- predictions that are discussed here. Continue Reading
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Guide
15 Feb 2018
Guide to using advanced analytics and AI in business applications
AI hype is becoming reality as the technology gains ground in businesses. Get tips on machine learning, cognitive computing and other advanced analytics initiatives in this guide. Continue Reading
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News
13 Feb 2018
IT analysts look for clarity on IBM analytics tools
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. Continue Reading
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Tip
07 Feb 2018
Beat the challenges of predictive analytics in big data systems
Big data and predictive analytics may seem synonymous, but understanding the constraints of each discipline is the key to extracting business value from projects that combine them. Continue Reading
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Podcast
26 Jan 2018
Talking Data: Is there a difference between AI and analytics?
Any AI definition should include things like predictive analytics, according to some users, even though those practices are straightforward and have been around for decades. Continue Reading
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Feature
22 Jan 2018
Infographic: The evolution of the chief data officer role
The CDO role, which has never been rigidly defined, is undergoing a face-lift as emerging technologies present new opportunities to enterprises. Continue Reading
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Tip
18 Jan 2018
How predictive analytics techniques and processes work
Predictive analytics is no longer confined to highly skilled data scientists. But other users need to understand what it involves before they start building models. Continue Reading
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Feature
12 Jan 2018
Comparing the leading big data analytics software options
This big data analytics tools comparison examines products from the leading vendors and provides insight into how you can differentiate between the various offerings. Continue Reading
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Feature
09 Jan 2018
Insights into buying big data analytics tools
Before purchasing big data analytics software, companies must first identify their specific needs and then evaluate how the product features address those needs. Continue Reading
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Feature
15 Dec 2017
The benefits of using big data analytics software
Tools for big data analytics have a lot to offer, and they come in many varieties. Get to know some of the ways business users and data scientists can use the software. Continue Reading
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Tip
03 Aug 2017
Ten steps to start using predictive analytics algorithms effectively
A successful predictive analytics program involves more than deploying software and running algorithms to analyze data. This set of steps can help you put a solid analytics foundation in place. Continue Reading
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Feature
31 Jul 2017
How SAS Enterprise Miner simplifies the data mining process
The SAS Enterprise Miner data mining tool helps users develop descriptive and predictive models, including components for predictive modeling and in-database scoring. Continue Reading
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Feature
26 Jun 2017
Examining the Knime Analytics Platform for big data analytics
Knime offers open source data analytics, reporting and integration tools, as well as commercial software that can help build more efficient workflows. Continue Reading
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Feature
23 Jun 2017
Machine learning platforms comparison: Amazon, Azure, Google, IBM
The platform war over machine learning tools is heating up. Use our features comparison chart to see how four top vendors stack up and help you decide which is right for your enterprise. Continue Reading
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Feature
31 May 2017
A look at the IBM SPSS Modeler and IBM SPSS Statistics analytics tools
The IBM SPSS Modeler and IBM SPSS Statistics predictive analytics tools help users and data analysts build predictive models and manage the analytics process. Continue Reading
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Opinion
06 Oct 2016
Sports data analytics isn't always a slam dunk
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. Continue Reading
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Feature
31 Aug 2016
Why physicists are a good fit for data science jobs
With data scientists in short supply, physicists and other academic researchers from hard-science disciplines are increasingly finding places on data science teams -- and even leading big data analytics projects. Continue Reading
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Definition
30 Oct 2015
funnel analysis
Funnel analysis is a way to measure and improve the performance of customer interactions in a step-wise progression from the initial customer contact to a predetermined conversion metric. Continue Reading
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Feature
13 Oct 2015
Location-tracking system improves business efficiency
For organizations in industries such as healthcare and trucking, analyzing data on the location and movements of employees is helping to streamline operations. Continue Reading
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Definition
30 Sep 2015
unstructured text
The unstructured text collected from social media activities plays a key role in predictive analytics for the enterprise because it is a prime source for sentiment analysis to determine the general attitude of consumers toward a brand or idea. Continue Reading
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Definition
30 Sep 2015
Lambda architecture
Lambda architecture is an approach to big data management that provides access to batch processing and near real-time processing with a hybrid approach. Continue Reading
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Definition
30 Sep 2015
text tagging
Text tagging is the process of manually or automatically adding tags or annotation to various components of unstructured data as one step in the process of preparing such data for analysis. Continue Reading
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Definition
19 May 2015
Scala (Scalable Language)
Scala is a software programming language that mixes object-oriented methods with functional programming capabilities. It was used to create the scalable Spark analytics engine. Continue Reading
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Definition
14 Apr 2015
revenue attribution
Revenue attribution is the process of matching customer sales to specific advertisements in order to understand where revenue is coming from and optimize how advertising budgets are spent in the future. Continue Reading
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Feature
05 Mar 2015
Use of analytics in sports media becomes contentious
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. Continue Reading
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Feature
12 Dec 2014
Customer analysis a winning play for 'Candy Crush Saga' maker
King Digital Entertainment was losing players of "Candy Crush Saga" at an early stage in the online game -- a problem it solved with help from a customer data analytics project. Continue Reading
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Definition
12 Sep 2014
data journalism
Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories. Continue Reading
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Feature
18 Apr 2014
Laws leave gray area between big data and privacy
Laws on data collection and use remain foggy, leaving businesses to feel their way through big data and privacy laws. Continue Reading
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Definition
20 Dec 2013
Google Advertising ID
Google Advertising ID is a piece of universally unique identifier code that allows mobile applications running on Android devices to identify users and gather data for the purposes of building profiles. Continue Reading
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Quiz
16 Oct 2013
Quiz: Creating effective predictive analytics programs
Take this brief quiz to test your knowledge of predictive analytics and what is needed to implement successful predictive modeling processes. Continue Reading
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Opinion
22 Apr 2013
Analytical modeling is both science and art
Models are the key to predicting outcomes to business decisions. And while math may make them tick, it also takes a certain eye -- and ear -- for what works. Continue Reading
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Definition
30 May 2012
noisy text
Noisy text is an electronically-stored communication that cannot be categorized properly by a text mining software program. Noisy text is often caused by an end user's excessive use of idiomatic expressions, abbreviations, chat and text acronyms or business-specific lingo. Continue Reading
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Feature
01 Mar 2012
Five first steps to creating an effective 'big data' analytics program
Choosing the right technology is only half the startup battle on "big data" analytics. Get a list of deployment tips from consultant Lyndsay Wise to help set your organization on the right path. Continue Reading
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Definition
28 Apr 2011
enterprise mashup (or data mashup)
An enterprise mashup is the integration of heterogeneous digital data and applications from multiple sources for business purposes. An enterprise mashup is also sometimes known as a business mashup or, less precisely, as a data mashup. Continue Reading
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Definition
24 Mar 2011
deep analytics
Deep analytics is the application of sophisticated data processing techniques to yield information from large and typically multi-source data sets comprised of both unstructured and semi-structured data. Continue Reading
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Feature
12 May 2009
Simple data mining examples and datasets
See data mining examples, including examples of data mining algorithms and simple datasets, that will help you learn how data mining works and how companies can make data-related decisions based on set rules. Continue Reading
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Feature
12 May 2009
Using data merging and concatenation techniques to integrate data
Learn two data integration techniques, data merging and concatenation, and see how to combine and merge data sets in this excerpt from the book Data Mining: Know it All. Continue Reading
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Feature
12 May 2009
What is a data rollup?
Learn what a data rollup is and read about data rollup macro examples and case studies in this data mining tutorial from the book Data Mining: Know it All. Continue Reading
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Answer
07 May 2008
Data warehousing, data mining and data querying: Terms and definitions
Learn the difference between data warehousing, data mining and data querying. Continue Reading
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Answer
28 Aug 2007
Data mining tools: Advantages and disadvantages of implementation
Learn the advantages and disadvantages of data mining tools and of implementing data mining technology. Continue Reading