Business intelligence data mining
Top Stories
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Tip
11 Nov 2021
Business shift to a data monetization strategy elevates CDOs
As their focus dramatically swings from compliance issues to data monetization, chief data officers are on track to take their rightful place among C-level executives, but slowly. Continue Reading
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Feature
08 Nov 2021
Knowing the right data enrichment techniques is crucial
In 'The Enrichment Game,' the latest book by 'Data Guy' Doug Needham, you'll learn why and how to cull data to gain valuable insights and a business advantage. Continue Reading
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Definition
31 Jan 2023
market basket analysis
Market basket analysis is a data mining technique used by retailers to increase sales by better understanding customer purchasing patterns. Continue Reading
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Definition
18 Nov 2022
noisy data
Noisy data is meaningless data. The term was often used as a synonym for corrupt data, but its meaning has expanded to include data from unstructured text that cannot be understood by machines. Continue Reading
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Tip
11 Nov 2021
Business shift to a data monetization strategy elevates CDOs
As their focus dramatically swings from compliance issues to data monetization, chief data officers are on track to take their rightful place among C-level executives, but slowly. Continue Reading
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Feature
08 Nov 2021
Knowing the right data enrichment techniques is crucial
In 'The Enrichment Game,' the latest book by 'Data Guy' Doug Needham, you'll learn why and how to cull data to gain valuable insights and a business advantage. Continue Reading
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Tip
13 Oct 2021
Data warehouses and holistic business intelligence
Data warehouses help companies gather analytics on individual systems and data for a holistic view of company performance, spot correlations and make informed decisions. Continue Reading
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Definition
05 Oct 2021
data science as a service (DSaaS)
Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use. Continue Reading
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News
22 Sep 2021
Modern data strategy includes cloud, domain federation
Analytics strategies should include overarching organizational best practices blended with teams empowered to build interoperable data assets, according to one industry expert. Continue Reading
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News
21 Jun 2021
Roadmap for Collibra platform includes more speed and scale
Collibra's roadmap is focused on adding more speed, with a plan in place to quadruple the amount of data customers can access and use by the end of 2022. Continue Reading
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Feature
14 Jun 2021
Election data revolutionizes the running of campaigns
Political campaigns used to rely primarily on polls to inform decisions, but with advances in technology over the past 15 years they are now using advanced analytics techniques. Continue Reading
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Definition
21 May 2021
unstructured data
Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database. Continue Reading
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Definition
18 May 2021
web analytics
Web analytics is the process of analyzing the behavior of visitors to a website. Continue Reading
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Feature
26 Apr 2021
Chief data officer role key to data-drive decision-making
Though the first CDO was hired nearly 20 years ago, many organizations are only now beginning to realize the value of data and seek someone to oversee their data operations. Continue Reading
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News
07 Apr 2021
Trifacta unveils new integrations to enable data wrangling
Trifacta on Wednesday unveiled an updated tool to enable customers to work with their directly in Google BigQuery along with two new integrations designed to improve data preparation. Continue Reading
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News
27 Jan 2021
Neo4j unveils cloud graph database for the enterprise
Neo4j Aura Enterprise is a fully-managed cloud database built for large organizations. The vendor previously developed Aura Professional, a similar tool for SMBs. Continue Reading
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News
12 Nov 2020
Continuous intelligence a trend on the rise
As organizations look to gain a competitive advantage -- and many simply attempt to survive during the pandemic -- data streaming is helping them make decisions in real time. Continue Reading
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News
10 Nov 2020
Presidential polling data again misses the mark in 2020
Just as they did in 2016, the election polls underestimated support for Donald Trump. Although he didn't defeat Joe Biden, the result was closer than the polls predicted. Continue Reading
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Feature
16 Sep 2020
Miscues in 2016 inform presidential polling data in 2020
Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom. Continue Reading
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Definition
31 Aug 2020
correlation
Correlation is a statistical measure that indicates the extent to which two or more variables fluctuate in relation to each other. Continue Reading
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News
21 Aug 2020
Customer location data leads to deeper level of insight
Behavioral analytics tell more about a person's true self than consumer data, according to Gravy Analytics CEO Jeff White, and are therefore key to data-driven decisions. Continue Reading
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Feature
04 Jun 2020
2020 census data collection being affected by COVID-19
The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door. Continue Reading
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Feature
31 Jan 2020
Data confidence a problem data wrangling aims to resolve
Joe Hellerstein, co-founder and CSO of Trifacta, talks about data wrangling and the ongoing trend of migration to the cloud, among other data management topics. Continue Reading
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Feature
31 Jan 2020
Data wrangling software helps access, interpret relevant info
Joe Hellerstein, co-founder and CSO of data wrangling software vendor Trifacta, discussed the benefits of data wrangling and the cloud migration trend, among other topics, in a Q&A. Continue Reading
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Feature
17 Dec 2019
Data catalog management for analytics fraught with unique demands
Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading
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Feature
06 Nov 2019
NLP makes augmented data discovery a reality in analytics
BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. Continue Reading
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News
08 Oct 2019
GoodData BI customers now able to use data on Amazon Redshift
GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS. Continue Reading
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News
24 Sep 2019
TigerGraph Cloud releases graph database as a service
TigerGraph, a graph database vendor, now offers a native cloud database-as-a-service product with its newest release. Continue Reading
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Opinion
27 Aug 2019
Governance, compliance, ethics in data mining: Separate but equal
In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
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Feature
23 Aug 2019
Museums and data: A powerful combination
With more and more museums using data to inform their decision-making processes, visitors are reaping the benefits by enjoying a better user experience. Continue Reading
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Guide
21 Aug 2019
GDPR, AI intensify privacy and data protection compliance demands
This guide covers the challenges data management teams face on data protection and privacy, particularly with the rise of GDPR and similar laws and the growing use of AI tools. Continue Reading
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Definition
12 Aug 2019
cost per sale (CPS)
The cost per sale (CPS), also known as the pay per sale, is a metric used by advertising teams to determine the amount of money paid for every sale generated by a specific advertisement. Continue Reading
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Definition
07 Aug 2019
BABOK Guide (Guide to the Business Analysis Body of Knowledge)
The guide to the Business Analysis Body of Knowledge, or the BABOK Guide, is a book from the International Institute of Business Analysis (IIBA) that provides essential support and direction to business analysts (BAs) by presenting a collection of the activities that comprise business analysis. Continue Reading
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News
02 Aug 2019
Data ethics issues create minefields for analytics teams
Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics. Continue Reading
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News
17 Jul 2019
Updated AtScale platform streamlines analysis of big data
By improving the machine learning and augmented intelligence capabilities of its platform, AtScale's newest release attempts to speed up data querying. Continue Reading
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Feature
29 May 2019
6 tips for effective customer data mining
Digging into customer data can improve sales opportunities -- but how do you balance that against data privacy concerns? Get insights from data professionals. Continue Reading
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News
15 May 2019
Qlik debuts free data literacy certification
Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate. Continue Reading
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News
13 May 2019
Red Hat OpenShift Operators target AI, big data workloads
Speedy deployment of machine learning jobs may not arrive too soon. But container platform enhancements from Red Hat aim to quicken the uptake of such innovations. Continue Reading
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Feature
09 May 2019
Data modeling software tackles glut of new data sources
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
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Feature
11 Apr 2019
Data-rich organizations turn focus to ethical data mining
As data analytics has increasingly become a core component of organizations' strategies, concerns have arisen around how data is mined. Experts offer tips. Continue Reading
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News
01 Apr 2019
Tools fill gaps in predictive modeling and machine learning
Machine learning platforms can bring the lone data scientist into the overall workflow. Updates to tooling also let that data scientist use familiar development interfaces. 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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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
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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Definition
27 Nov 2018
over sampling and under sampling
Over sampling and under sampling are techniques used in data mining and data analytics to modify unequal data classes to create balanced data sets. Continue Reading
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Feature
01 Oct 2018
UCSD graduates to advanced analytics with SAP HANA platform
The University of California, San Diego implemented an SAP HANA platform that uses advanced analytics and machine learning to run operations and help students graduate on time. Continue Reading
- E-Zine 01 Oct 2018
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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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Definition
09 Jul 2018
slice and dice
To slice and dice is to break a body of information down into smaller parts or to examine it from different viewpoints so that you can understand it better. Continue Reading
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Answer
25 Apr 2018
Data scientist vs. business analyst: What's the difference?
Data science and business analyst roles differ in that data scientists must deep dive into data and come up with unique business solutions -- but the distinctions don't end there. 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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Tip
01 Feb 2018
Three ways to turn old files into Hadoop data sets in a data lake
Hadoop data lakes offer a new home for legacy data that still has analytical value. But there are different ways to convert the data for use in Hadoop depending on your analytics needs. 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
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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Feature
09 Dec 2015
Exploring Microsoft Power BI SaaS analytics products
Microsoft Power BI SaaS analytics lets users view their most critical data via a live dashboard, create interactive reports and access their data on the go. 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
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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News
28 May 2015
Salesforce ties Wave analytics tool to big data platforms
Salesforce is getting more involved in big data analytics, with new partnerships that open up its cloud-based Wave analytics technology to Hadoop and other big data systems. Continue Reading
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News
07 Jan 2015
Case study: UniCredit uses Fico to apply prescriptive analytics to risk management
Italian bank UniCredit is using Fico software to apply prescriptive analytics to risk management 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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News
10 Oct 2014
SAP teams up with Birst to offer cloud analytics on Hana
SAP is working with cloud BI supplier Birst to provide “instant analytics in the cloud” on the Hana in-memory database platform Continue Reading
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Opinion
30 May 2014
Anxieties about big data technology trends are valid
Criticism of big data technology trends may go too far, but proponents shouldn't dismiss the critiques. Continue Reading
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Feature
22 Apr 2014
Businesses look for tech solutions to big data security issues
The growing adoption of big data analytics applications is complicating data security challenges -- and creating a need for new security strategies. Continue Reading
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Podcast
11 Apr 2014
IDC analysts see more Internet of Things projects ahead
At IDC Directions, analysts predict more Internet of Things projects in the near future. Continue Reading
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News
16 Aug 2013
Online retailing means the industrialisation of analytics
Figleaves founder and eCommera chief scientist Michael Ross argues that online retailing requires a new type of action-oriented business intelligence Continue Reading
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News
08 Jul 2013
Davenport: Travel industry data pioneer has lost way but can be saved
Tom Davenport sees the travel industry as a data pioneer that has lost its way, but can be redeemed Continue Reading
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News
03 Jul 2013
Ocado delivers with in-house software development
Online grocery retailer Ocado built its own software for its own business – and now it delivers for Morrisons Continue Reading
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Feature
04 Feb 2013
Without analytics, it's 'big data, big schmada'
Data -- including big data -- has no value by itself, says TechTarget's Wayne Eckerson. It's what you do with data to gain business insights that counts. Continue Reading
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Definition
07 Dec 2012
box plot
A box plot is a graphical rendition of statistical data based on the minimum, first quartile, median, third quartile, and maximum. The term "box plot" comes from the fact that the graph looks like a rectangle with lines extending from the top and bottom. Because of the extending lines, this type of graph is sometimes called a box-and-whisker plot. Continue Reading
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Definition
06 Dec 2012
law of large numbers
The law of large numbers is a principle of probability according to which the frequencies of events with the same likelihood of occurrence even out, given enough trials or instances. As the number of experiments increases, the actual ratio of outcomes will converge on the theoretical, or expected, ratio of outcomes. Continue Reading
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News
09 Nov 2012
German retailer Otto invests in neural software to net future sales
German retail giant Otto improves demand forecasting with neural network technology from Blue Yonder, a predictive analytics start-up Continue Reading
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Feature
17 Jul 2012
Predictive sports analytics put in play for Wimbledon, Formula One
Predictive analytics in sports is proving itself in tennis and car racing. Can it make the leap to team sports, long the preserve of barroom anoraks? Continue Reading
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Definition
11 Jun 2012
descriptive modeling
Descriptive modeling is a mathematical process that describes real-world events and the relationships between factors responsible for them. Continue Reading
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Tip
24 May 2012
'Big data' analytics danger: Death by a thousand cuts
Companies that view "big data" and associated analytics processes as the ultimate answer to business decision-making needs do so at their own peril, writes BeyeNetwork expert Barry Devlin. 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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News
04 Jan 2012
Biggest business intelligence software stories of 2011
From the explosion of "big data" analytics to data quality issues plaguing business intelligence (BI) programs to data mining privacy concerns, there was no shortage of must-read BI stories in 2011. Continue Reading
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News
14 Dec 2011
Crafting analytical models
Model-making is at the heart of advanced analytics, says TechTarget's Wayne Eckerson. And BI pros need to understand the process so they can support the data needs of analytical modelers. Continue Reading
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News
02 Oct 2011
Data scientists helping businesses navigate 'big data' seas
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. 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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Answer
04 Jan 2011
Customer data you should collect for your customer analytics program
Every piece of customer data you can collect is potentially important to your customer analytics program, according to customer data analytics expert Richard Snow. Find out why. Continue Reading
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Answer
11 Nov 2010
Is your company primed for social media analytics?
Are some companies primed to get more use out of social media analytics than others are? Find out, plus learn how a social media analytics strategy compares to BI strategies. Continue Reading
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News
13 May 2010
SAP to acquire Sybase's mobile platform, database business
SAP will buy Sybase for $5.8 billion, adding in-memory technology and mobility to its applications business. 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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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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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