Business Analytics: Page

Seven good data visualization practices for visual integrity

Data visualizations need visual integrity to ensure that the data they present can be interpreted correctly. Follow these design steps to help make visualizations trustworthy.

By David Loshin • May 16, 2018

Qlik readies new Qlik Sense features for cloud, AI, big data

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.

By Craig Stedman • May 3, 2018

Tableau Prep tool aims to ease Tableau data preparation work

Tableau users who previously had to rely on software from other vendors to prepare data now have a new option: Tableau Prep, the BI vendor's own data preparation tool.

By Craig Stedman • April 30, 2018

Get the most out of your data, reap the benefits of BI tools

The business intelligence software market is large, vibrant and evolving. Learn the ins and outs to make sense of the options and experience the business benefits of BI tools.

By Rick Sherman • April 30, 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.

By Ed Burns • March 23, 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.

By Ed Burns • March 15, 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.

By Ed Burns • March 14, 2018

How to boost the value of BI in today’s analytics landscape

Basic BI reporting still gives businesses valuable information. But its value can be increased by incorporating it into a broader analytics and data visualization platform.

By Ed Burns • March 13, 2018

Mike Capone, Qlik CEO, says roadmap targets cloud, big data

Qlik software must continue to evolve to keep pace with changes coming from cloud computing, big data and cognitive computing, says Qlik's new CEO Mike Capone.

By Ed Burns • March 7, 2018

New Qlik CEO Mike Capone outlines his business strategy

Mike Capone, Qlik's new CEO, discusses recent layoffs and says the company needs to be more aggressive about touting its successes to avoid falling behind in the self-service BI market.

By Ed Burns • March 5, 2018

Qlik Sense vs. QlikView: How the two Qlik tools compare

The differences between the two main Qlik software offerings may be small, but there are still some key considerations for potential customers to weigh.

By Ed Burns • Feb. 26, 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.

By Ed Burns • Feb. 13, 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.

By David Loshin • Feb. 7, 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.

By Ed Burns • Jan. 22, 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.

By David Loshin • Jan. 18, 2018

Hyper engine aims to give enterprise Tableau analytics a boost

The Hyper in-memory data engine added in Tableau 10.5 could make Tableau analytics capabilities more expansive, enabling the software to support new use cases, like IoT analytics.

By Ed Burns • Jan. 17, 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.

By David Loshin • Jan. 12, 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.

By David Loshin • Jan. 9, 2018

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.

By David Loshin • Dec. 15, 2017

Hiring vs. training data scientists: The case for each approach

Hiring data scientists is easier said than done -- so should you try to train current employees in data science skills? That depends on your company's needs, writes one analytics expert.

By Tianhui Michael Li • Nov. 21, 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.

By David Loshin • Aug. 3, 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.

By Abie Reifer • July 31, 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.

By Abie Reifer • June 26, 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.

By Ed Burns • June 23, 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.

By Abie Reifer • May 31, 2017