Evaluate

Evaluate

Weigh the pros and cons of technologies, products and projects you are considering.

• The top augmented analytics tools vendors are offering

  From natural language querying to automated data preparation, augmented analytics are key capabilities for the top BI platforms. Read on to see what popular vendors are offering. Continue Reading

• Implementing an analytics business plan requires commitment

  In order to get the most out of an analytics business plan, companies must have clear goals and communication, as well as proper buy-in companywide. Continue Reading

• Data scientist vs. machine learning engineer careers

  There are many careers under the data science umbrella, including data scientist and machine learning engineer. But what's the difference between the two? Read on to find out. Continue Reading

• How to choose self-service BI tools using analyst reports

  When deciding on what BI tools to use, many organizations turn to reports from analyst firms. Here's how to decipher the ratings to pick the right tools for your organization. Continue Reading

• The most important soft skills for data scientist jobs

  Soft skills are an important part of data scientist jobs. From business value to interpersonal communication, many nontechnical skills are important to data science projects. Continue Reading

• Should your company hire a freelance data scientist?

  Enterprises need to make the right hiring choices when it comes to supporting their data projects. Here are some reasons your company may -- or may not -- consider hiring a freelancer.Continue Reading

• Key considerations for choosing embedded analytics tools

  Many organizations benefit from using embedded analytics tools. Here's a guide on some key things to consider before deciding on an embedded analytics vendor.Continue Reading

• Embedded BI and analytics apps speed workflows, insight access

  Embedded BI is fast becoming a focal point for analytics uses as data analysts, developers and business users enjoy faster processing, reduced workloads and better outcomes.Continue Reading

• What Salesforce means for Tableau in the cloud

  After the Salesforce acquisition, users have wondered about the future of Tableau in the cloud. Experts weigh in on how the transition could benefit the platform.Continue Reading

• Ethical data collection in the spotlight over new regulations

  New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it.Continue Reading

• The data science pathway demands continued learning

  With the advent of open source coding languages and the expansion of online courses, the pathway to becoming a data scientist has never been easier.Continue Reading

• How to improve data scientist job satisfaction

  Hiring data scientists is tough. Keeping them is tougher. However, there are certain things companies can do to minimize the high cost of turnover within their data science team.Continue Reading

• How to compare and choose augmented analytics tools

  Choosing an augmented BI and analytics vendor can be difficult when their offerings are so similar. Analysts at Gartner and Forrester offer advice for choosing augmented analytics tools.Continue Reading

• 5 ways enterprises adapt to the data scientist shortage

  Where are all the data scientists? Coping with the data scientist shortage is a struggle for many enterprises. Here are five ways to effectively manage with the shortage.Continue Reading

• The most in-demand data science skills you need

  With the need for data scientists increasing, skills associated with the role are also in demand. Check out these top skills for one of the hottest jobs.Continue Reading

• Augmented analytics tools: Business uses, benefits and barriers

  This guide examines the capabilities and potential benefits of augmented analytics technologies and offers guidance on how to use them to simplify BI and analytics processes.Continue Reading

• Automated tools broaden the future scope of data science

  Automated data science tools may make their way into the data science process, but are unlikely to ever be able to do everything human data scientists do, experts say.Continue Reading

• Everything you need to know about augmented analytics vendors

  Augmented analytics is set to become the newest trend in BI and analytics, and vendors are making big investments to develop products smarter for a wider range of users.Continue Reading

• Tableau or Qlik: What separates the data visualization tools?

  While leading data visualization vendors Tableau and Qlik may seem similar, there are substantial differences. Understanding the differences is key to making the right decision.Continue Reading

• Salesforce acquisition of Tableau likely to bring changes

  Since Salesforce's Tableau acquisition, many have wondered what will happen to Tableau's on-premises customers. Find out what industry experts have to say.Continue Reading

• NLP uses in BI and analytics speak softly but carry a big stick

  Self-service analytics vendors are adding NLP features to their tools to make them even easier to use. Learn about notable NLP applications as well as some caveats.Continue Reading

• NLP progress in BI and analytics slowed by language barriers

  Natural language processing shows potential in simplifying data access and deriving deeper insights, but NLP's strengths can be its weaknesses in reaching the Promised Land.Continue Reading

• Data science storytelling emerges as top analytics skill

  Storytelling in data science is emerging as a critical skill to have in analytics. Without it, data-driven insights have a tendency to wither on the vine.Continue Reading

• What's behind the Domo machine learning tool Did You Know

  Domo's Did You Know feature uses machine learning algorithms to automatically pull analytics information out of data sets for business users. Here's how it works.Continue Reading

• The direction of business intelligence is changing to forward

  Predictive analytics will be one of the key trends shaping the next generation of business intelligence platforms, as will the ability to share data.Continue Reading

• Tableau vs. Power BI vs. Qlik: Comparing BI software choices

  Tableau, Power BI and Qlik Sense offer similar self-service BI functionality, consultant Rick Sherman says. But he points to some of their strengths and weaknesses.Continue Reading

• Augmented data analytics overshadows traditional BI process

  Automated functionality is being added to BI software to help users find and analyze data. This handbook looks at the benefits and challenges of augmented analytics.Continue Reading

• Augmented BI tools speed insights with less manual labor

  Through AI, machine learning and NLP, augmented analytics reduces the manual labor of traditional BI work to more quickly and accurately locate and analyze relevant data.Continue Reading

• Yellowfin Signals delivers automated insights to BI users

  BI vendor Yellowfin's Signals tool automatically alerts users about changes in business data with an aim to broaden the use of analytics in organizations.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

• Upswing in cloud business intelligence spawns migration issues

  More organizations are looking to run BI and analytics applications in the cloud. This handbook offers insights into moving on-premises BI systems to cloud environments.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

• 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

• 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

• MicroStrategy 2019 platform touts 'zero-click' analytics

  MicroStrategy's latest BI platform supports a 'zero-click' analytics future with help from new voice and vision capabilities. The aim: quicker decisions and the democratization of data.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

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

  Tableau's new Hyper data engine is designed to boost processing speeds in its BI and data visualization software. Making it work was a complicated process.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 literacy training offerings key to BI vendors

  Tableau announced a basic certification training exam, adding to its roster of online data literacy courses. Self-service BI rival Qlik also has a big focus on data literacy.Continue Reading

• Choosing the best visualization tools for big data analytics

  Data-driven enterprises use visualization tools to tell the stories hidden in big data -- stories which help users turn information into profit. Here's how to choose the right tool.Continue Reading

• Looker 6 update adds analytics applications to BI tool

  With Looker 6, users of the BI platform can now access packaged applications that are designed for uses such as web analytics and digital marketing analytics.Continue Reading

• 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

• 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

• 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

• Self-service analytics tools hand BI power to business users

  Self-service BI software opens the door to wider analytics uses in organizations. This handbook compares top self-service tools and details user deployments.Continue Reading

• 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

• 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

• Data scientists weigh in: 5 data science tools to consider

  The surge of data captured by today's organizations requires data science tools to fully understand the information. We asked data scientists what tools they're using.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

• 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

• A complete guide to buying data discovery software

  Data discovery software turns data into business insights, and it's vital for GDPR compliance. This guide outlines the products and business case for data discovery tools.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

• 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

• Building a data science team in today's data-centric climate

  Finding and training data scientists to build a data science team can be challenging. But in a recent webinar, a Gartner analyst offered tips on how to do it.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

• 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

• 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

• Tableau targets data preparation software with Project Maestro

  As Tableau and other high-level applications look to automate more functionality, stand-alone data preparation tools have to evolve to stay relevant in the analytics ecosystem.Continue Reading

• Tableau shows software subscription model is not just for cloud

  Subscription-based software pricing associated with the cloud can also be useful in on-premises deployments, as shown by Tableau's full embrace of the subscription approach.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

• 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

• Predictive data analytics advances businesses ahead of the game

  Predictive analytics can help companies identify trends and better understand customers. The potential business benefits are big, but building predictive models isn't simple.Continue Reading

• Business intelligence and artificial intelligence are a natural fit

  Despite the current notion that business intelligence and artificial intelligence are separate disciplines, AI-powered BI is an idea that should get more attention.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

• 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

• How enterprises can find the right deep learning use cases

  The world's top tech companies are currently the biggest users of deep learning applications, but more typical enterprises may be able to get in the game, as well.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

• Deep learning techniques carry business burdens

  The questions surrounding deep learning techniques used to be related to use cases, but more and more businesses are seeing operational hurdles to their adoption.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

• Jobs in data science may seem glamorous, but they require dirty work

  The role of a data scientist is often seen as one of today's most glamorous and exciting jobs, but behind the glitz and acclaim are a lot of toil and hard work.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

• 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

• IBM's Watson Analytics makes strides but gives off bad vibes

  Watson Analytics is a strong player in a formidable field that includes Google and Adobe. It does perform as advertised -- but IBM's AI-driven analytics technology leaves a lot to be desired.Continue Reading

• Real-time streaming analytics systems need help from message brokers

  Real-time analytics applications typically involve multiple streams of data that need to be properly organized and coordinated, a job that calls for new message queuing technologies.Continue Reading

• Streaming data analytics puts real-time pressure on project teams

  A real-time data architecture that can support streaming analytics applications is an enticing, yet daunting, prospect for organizations looking to act quickly on information.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

• Prescriptive models take analytics one step beyond

  Descriptive analytics is powerful. Predictive analytics, flashy. Prescriptive analytics? Boring, perhaps, but no less essential to improving operations in the enterprise.Continue Reading

• Predictive analytics tools hinge on good data, business expertise

  Predictive analytics helps businesses maintain a competitive edge, but only with the right data. And even then, the most advanced analytics tools can't replace expertise.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

• Advanced analytics techniques, tools came to the fore in 2016

  This year saw huge hype around advanced analytics tools like AI and machine learning. This podcast recaps everything businesses need to know about this year's top analytics trends.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

• Machine learning models take over the software industry

  Just as software took over the broader technology industry a few years ago, we're starting to see machine learning algorithms dominate software. There's good reason for this trend.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