Features

Features

• 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

• 7 enterprise use cases for real-time streaming analytics

  Organizations are tapping into real-time streaming analytics to respond quickly to customers and provide a range of services. Learn how some companies are utilizing such platforms.  Continue Reading

• 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

• 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

• 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

• Avoid turbulence when shifting to data analytics in the cloud

  When migrating BI and data analytics to the cloud, factor existing analytics processes, software evaluation, data protection and cost controls into a thoughtful plan of action.  Continue Reading

• Information Builders CEO on cloud-first approach, machine learning

  Information Builders' new CEO, Frank Vella, said the company's focus on cloud and machine learning will help it solidify a firm position in today's BI and analytics market.  Continue Reading

• New Information Builders CEO targets modern CX, development

  In Q&A, new CEO Frank Vella discusses how Information Builders is modernizing its WebFocus platform to make it easier to use and changing the vendor's internal culture.  Continue Reading

• 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

• IT managers look to deploy BI, analytics in the cloud

  More organizations plan to use cloud-based BI and analytics and focus on data governance and predictive analytics, TechTarget's 2019 IT Priorities Survey found.  Continue Reading

• 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

• Analytics trends we'll see in 2019

  BI and analytics software looks to evolve further in 2019, as tools will keep getting easier to use and more AI-powered technologies will augment user experiences.  Continue Reading

• Bolster citizen data scientists with support, training

  As more citizen data scientists take on work traditionally tasked to business analysts, organizations must consider how to support them. Start with a centralized data team.  Continue Reading

• 4 ways natural language querying in BI tools can benefit users

  Natural language queries help ease access to BI data and improve analytics insights. See how organizations are putting natural language querying techniques to work.  Continue Reading

• 5 tips for enabling citizen data scientists

  Self-service analytics tools are enabling citizen data scientists to dig deeper into BI than ever before. Experts offer insights into how to empower data democratization.  Continue Reading

• 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

• 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

• 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

• Tips for creating curated data sets for self-service BI users

  Data curation initiatives can help streamline BI processes by reducing the amount of time users spend locating and preparing data. Get four tips for preparing data sets.  Continue Reading

• What the Tableau Hyper engine does and how it was developed

  Tableau's Hyper data engine boosts processing speeds in its BI and data visualization software. The lead engineers offer insight on what went into making Hyper work.  Continue Reading

• How Morgan Stanley scaled up Tableau self-service analytics

  Morgan Stanley wanted to empower users to make data-driven decisions. A Tableau analytics platform was the answer. The problem: introducing it to 30,000 users.  Continue Reading

• At Logi Analytics and Tableau, beta feedback drives creation

  Constructive commentary from software beta testing can help work out bugs and bring about new ideas, which BI vendors Logi Analytics and Tableau can attest to.  Continue Reading

• Data science teams use business ties to boost data knowledge

  To ensure that advanced analytics applications are relevant to business operations, data scientists are collaborating with workers who are experts on business data.  Continue Reading

• 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

• Options arise for expanding data scientists' skills

  Data science programs aren't just for universities anymore. Now, data scientists can turn to massive open online courses, online texts and other resources to boost their skill sets.  Continue Reading

• Qlik Sense and predictive analytics in education flag troubled students

  Using academic analytics and Qlik Sense, administrators at Virginia's Loudoun County public school district are looking to identify and help at-risk students faster and more accurately.  Continue Reading

• 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

• Rising demand for business analytics education programs

  Colleges and universities are increasingly offering business analytics degrees. The graduates can help build IT and business capabilities of small and medium-sized organizations.  Continue Reading

• Heat map view sets table for food warehouse optimization

  Inspired by the vivid views of stadium heat maps, a Midwest food distributor worked with Information Builders to gain a better view of its supply chain workings. The result was a novel warehouse optimization system.  Continue Reading

• Streamlining predictive analytics in retail marketing

  Online flash-sale retailer Zulily uses BigQuery and Tableau to help power its predictive analytics, which, in turn, boosts its marketing efforts and ability to manage incoming data.  Continue Reading

• A look at the leading data discovery software and vendors

  Explore the data discovery software market, including the products and vendors helping enterprises glean insights using data visualization and self-service BI.  Continue Reading

• GPU implementation is about more than deep learning

  Simulmedia is using GPU technology to power reporting tools, while eyeing future deep learning applications, helping to justify the cost of the hardware while building experience.  Continue Reading

• Data-driven strategy grooms dog care franchise for growth

  Camp Bow Wow is growing its day care and boarding business for dogs with the help of a data-driven approach that's powered by a hybrid POS and Tableau system.  Continue Reading

• 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 CardinalCommerce grew its big data analytics capabilities

  By doing big data analytics with Spark, CardinalCommerce ignited a demand for data throughout its organization and got more in-house users to engage with the analytics process.  Continue Reading

• How data-driven policing strategies can impact public safety

  Analytics and new data sources are opening the door for municipalities to deploy big data policing strategies that potentially can improve emergency response times, a software vendor exec says.  Continue Reading

• What sports can teach about data-driven decision-making process

  MIT lecturer Ben Shields says other businesses can learn a lot about analytical decision-making from the progress that sports teams have made on effective use of data in recent years.  Continue Reading

• Visual data exploration a key first step for deeper analyses

  Visual data analysis is an important first step in any advanced analytics project -- and analysts and data scientists who overlook it do so at their own peril, experienced users warn.  Continue Reading

• Tableau data governance policies key to enterprise use

  Usage and data governance policies are vital to effectively implementing Tableau and avoiding common pitfalls that can affect deployments of the self-service software, experienced users say.  Continue Reading

• Better Tableau implementation gives BI dashboards a boost

  Building good Tableau dashboards is about more than just pretty visualizations. Users say the process should incorporate strong data management practices and a sharp business strategy.  Continue Reading

• Becoming a data-driven enterprise requires art, science

  Business analytics strategy often seeks to squeeze as much subjectivity from the process as possible. But when data is limited, human-algorithm pairings can perform well.  Continue Reading

• Machine learning in the cloud forces hard big data decisions

  Interest in implementing a cloud machine learning platform is up, but not every business is sold on the benefits of this emerging class of software.  Continue Reading

• Barbecue chain eyes using Alexa to augment BI dashboards in kitchens

  Dickey's Barbecue Restaurants plans to use Amazon Alexa so franchisees can get operational data while cooking, with dashboards still available for querying outside the barbecue pit.  Continue Reading

• Exploring Microsoft R Open, R Server for advanced analytics

  Learn about the features and components of the Microsoft R family of predictive analytics tools, which includes Microsoft R Open, Microsoft R Client and Microsoft R Server.  Continue Reading

• Inside the SAP BusinessObjects Predictive Analytics tool suite

  The SAP BusinessObjects Predictive Analytics suite of on-premises and cloud-based tools can be used by data scientists, analytics professionals, as well as less technical teams.  Continue Reading

• Tips on how to get the most out of data dashboard software

  When used right, data dashboards can lead to major business value. But planning and the overall user experience are both key to getting the most out of them, consultant Mico Yuk says.  Continue Reading

• Big data forces a reassessment of how to use BI dashboard software

  BI dashboards are still a top priority for most businesses, but emerging trends around big data are forcing BI and IT teams to rethink how dashboards can be built and used most effectively.  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

• Inside RapidMiner's data science platform

  The RapidMiner data science platform comprises products that enable both technical and nontechnical users to perform a variety of advanced data analytics functions.  Continue Reading

• How QVC built a real-time analytics platform from humble tools

  A lot of hot new tools are available today for doing real-time analytics, but QVC found success building a real-time platform by repurposing older, simpler tools.  Continue Reading

• Many businesses use BI reporting systems wrong, but they can improve

  Many businesses commit similar mistakes when creating BI reports. Consultant Mico Yuk offers tips to help you avoid some of the most common pitfalls.  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

• Exploring Oracle Advanced Analytics

  Oracle Advanced Analytics and other data analytics tools, including Oracle R Enterprise and Oracle Data Miner, enable business users to explore large volumes of data.  Continue Reading

• Alteryx analytics tools help simplify advanced data analysis

  The Alteryx advanced analytics tool suite comprises three products: the Alteryx Designer desktop tool, Alteryx Server and the Alteryx Analytics Gallery cloud-based application.  Continue Reading

• Despite functionality gains, use of cloud BI tools elevates slowly

  Running business intelligence applications in the cloud has yet to take the BI world by storm. Researcher Howard Dresner offers insight on why and discusses the state of cloud BI software.  Continue Reading

• Cloud data analytics gets a higher profile in companies

  Lenovo and Autodesk are two organizations that are increasing their use of the cloud for analytics applications, looking to lower costs, add flexibility and speed up data processing.  Continue Reading

• An overview of the Teradata Aster Analytics platform

  The Teradata Aster Analytics platform includes the Aster Database, Aster SNAP Framework, Aster R, SQL-MapReduce framework, SQL-GR and the Aster Analytics Portfolio.  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

• Deep learning algorithms demand nearly limitless supplies of data

  More data almost always makes deep learning projects more effective. One data science manager says there's essentially no limit to the amount of data he wants to have access to for his team's projects.  Continue Reading

• Deep learning models hampered by black box functionality

  A lack of transparency into how deep learning models work is keeping some businesses from embracing them fully, but there are ways around the interpretability problem.  Continue Reading

• Data scientist skills range from data prep to storytelling

  Data scientists aren't born -- they're made. IT pros from a wide range of backgrounds are working to gain the data science skills for which companies are looking.  Continue Reading

• School gets creative to train staff on self-service reporting software

  Most workers have other things to worry about in their jobs than learning how to use self-service BI software, so one school tried to make it fun for all staff.  Continue Reading

• Citizen data scientist trend compensates for lack of skills

  Self-service analytics tools are fueling the citizen data scientist trend, helping companies compensate for a lack of analytics skills in the market and making analytics more accessible.  Continue Reading

• Uber has high hopes for its open source data visualization software

  A few months ago, Uber released its self-developed data visualization tool into the open source world. Now it hopes innovation will flow back into the company.  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

• Deloitte report reveals the power of unstructured data analytics

  The analysis of unstructured data and other so-called dark data types can deliver significant business value, according to a new report from consulting group Deloitte.  Continue Reading

• Easy-to-use data science tools power new startup

  At DonorBureau, a startup in the nonprofit space, easy-to-use tools for data science are a must. Lucky for the company, that's where the analytics software industry is going.  Continue Reading

• How PetSmart continues to see value in mobile BI software

  Mobile BI apps may have lost some of their luster from earlier years, but PetSmart, for one, continues to find real business value in apps for their managers and executives.  Continue Reading

• Data-driven business models lead the way forward

  Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.  Continue Reading

• Tools for predictive analytics took a hit in presidential election

  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.  Continue Reading

• Don't learn lessons on predictive modeling techniques the hard way

  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.  Continue Reading

• Analytics VP shares best practices for hiring data scientists

  Data scientist jobs can be notoriously difficult to fill, but businesses can turn to tools that fill in gaps in staffing and take care of their analytics needs.  Continue Reading

• Debate over big data and privacy is just getting started

  For years, the tension between privacy and big data has been apparent, but with emerging technologies generating huge amounts of data, the debate will intensify.  Continue Reading

• Missions for monetizing data need lift from upfront groundwork

  Organizations launching data monetization strategies should factor some key initial steps into their plans to develop revenue-generating data products and analytics services.  Continue Reading

• Siemens uses process mining software to improve manufacturing visibility

  Prior to implementing process mining tools, manufacturer Siemens had little visibility into production bottlenecks and other operational issues. Now, it can see the sources of the problems more clearly.  Continue Reading

• IT teams take steps to simplify big data analytics process

  Companies such as Yahoo, Merck, Macy's and eBay have moved to clear obstacles that were blocking the path to success with big data analytics applications.  Continue Reading

• Users tap mix of tools to mine big data analytics architecture

  Predictive modeling, machine learning and other advanced analytics applications help dig the business value out of big data systems -- but for many users, it takes a lot of tools and effort.  Continue Reading

• Difficulties in hiring data scientists can waylay analytics efforts

  Advanced analytics software provides a lot of functionality, but finding skilled data scientists who can use the available tools effectively is a challenge for many analytics managers.  Continue Reading

• One path to standardizing on a reporting and visualization tool

  Most enterprises want to standardize on a single BI reporting tool, but change is hard. One company took the long view toward getting there and it's paying off.  Continue Reading

• Machine learning projects face data prep, model building hurdles

  IT and analytics managers discuss the biggest challenges of machine learning applications, with data preparation and development of algorithm-driven analytical models sharing top billing.  Continue Reading

• IT managers weigh in on biggest benefits of big data analytics

  Experienced big data project managers and professionals detail the top business benefits that their organizations are getting from deployments of Hadoop and Spark analytics systems.  Continue Reading

• One hospital works with doctors to embrace data-driven strategy

  Any hospital's data analytics strategy has to involve physician performance measurement. But as a hospital in Georgia found out, doctors aren't always eager to put their performance on the line.  Continue Reading

• Visualized data aids in building, updating predictive models

  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.  Continue Reading

• Four steps to make a data visualization project succeed

  Data scientist Jennifer Shin offers advice on how to manage a data visualization project and create effective visuals that meet the information needs of business decision makers.  Continue Reading

• Data visualization techniques, tools at core of advanced analytics

  Data visualization's central role in advanced analytics applications includes uses in planning and developing predictive models as well as reporting on the analytical results they produce.  Continue Reading

• Public-sector analytics teams struggle to implement innovation

  Bureaucratic rules and risk-averse culture make it difficult for public-sector agencies to take advantage of data-driven decision-making, despite clear benefits.  Continue Reading

• The analytics team shouldn't always pursue quick wins

  Analytics teams typically look for quick wins to prove their value. But experts say this approach should not become the guiding strategy for data product development.  Continue Reading