Features

Features

• Choosing the right data discovery platform for the enterprise

  Obviously, cost and scalability factor into data discovery platform buying decisions, but other features, like visualizations and data support, should carry significant weight.  Continue Reading

• Understanding data discovery tools in the enterprise

  Data discovery tools, aided by the data discovery process, visualize and contextualize data for business users. They are essential for informed business decision-making.  Continue Reading

• 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.  Continue Reading

• 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

• 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

• 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.  Continue Reading

• 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.  Continue Reading

• 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.  Continue Reading

• 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.  Continue Reading

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• Self-service BI software comparison: Tableau vs. Power BI, Qlik Sense

  Three software vendors have taken the lead in the market for self-service BI tools. This chart can help you sort out the differences between these common software applications.  Continue Reading

• 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

• A look at SAP BusinessObjects BI suite

  SAP BusinessObjects BI platform provides users with self-service access to information to support the decision-making process. Find out what's different in version 4.1.  Continue Reading

• 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

• 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

• 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

• 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

• Location-based analytics helps Wendy's find its way to new sites

  Most people remember geography class as a liberal arts concentration. But John Crouse of Wendy's is showing that geographic knowledge can make for a valuable pairing with statistical analysis as part of location intelligence efforts.  Continue Reading

• Author: Data mining projects depend on excavating meaningful data

  In a Q&A, book author David Nettleton offers advice on avoiding data mining pitfalls and pinpointing valuable business data to mine and analyze.  Continue Reading

• 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

• Big data vendors should stop dissing data warehouse systems

  Wayne Eckerson examines the analytics roles of data warehouses and big data systems and says he's tired of data warehouse bashing by big data vendors.  Continue Reading

• 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

• Data collection practices spark debate on big data ethics, privacy

  The increasing emphasis on collecting and analyzing big data is driving a debate on whether tighter privacy rules are needed to protect customers.  Continue Reading

• Selecting the right SQL-on-Hadoop engine to access big data

  Rick van der Lans explains why it's important to evaluate the differences in the technologies that make it possible to access Hadoop data using SQL.  Continue Reading

• Kaiser Permanente VP prescribes bigger role for healthcare data analytics

  Terhilda Garrido is at the head of a heightened effort by health system Kaiser Permanente to use analytics to improve its patient care delivery.  Continue Reading

• Defining and using KPIs in a successful business intelligence system

  In this book excerpt, author David Loshin discusses how to select key performance indicators and turn data into actionable knowledge for BI success.  Continue Reading

• 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

• The importance and benefits of operational decision making

  In this section of 'Smart (Enough) System', you'll learn the importance of operational decisions and different strategies that influence decision making. You'll also read about key BI terms including business agility, strategic alignment and ...  Continue Reading

• 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

• 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

• 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

• Successful business intelligence: The role of BI front-end tools

  Learn about the business intelligence front-end tools that are available to business users -- and how the right BI tool can lead to BI success.  Continue Reading