Features

Features

• New AI tools in the works for ThoughtSpot analytics platform

  Set against the backdrop of COVID-19, ThoughtSpot is trying to stick to a roadmap that includes new AI-infused features and eventually an initial public stock offering.  Continue Reading

• ThoughtSpot CEO: COVID-19 creates unprecedented challenges

  ThoughtSpot CEO Sudheesh Nair addresses the unprecedented challenges of COVID-19, not only in terms of running a business, but also psychologically.  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

• Natural language query tools offer answers within limits

  Natural language query tools could one day allow end users to do all their data analysis without the aid of data scientists, but at this point the capabilities remain limited.  Continue Reading

• Top embedded analytics examples in enterprise applications

  Embedded analytics has been trending for ease of use and accessibility for users. Here are the top use cases for these tools in enterprise applications.  Continue Reading

• Small business analytics success hinges on resources, skills

  A new report from IT services vendor Onepath reveals that 86% of SMBs are unable to fully take advantage of their data. Those that do are better able to grow and succeed.  Continue Reading

• SMBs struggle with data utilization, analytics

  SMBs know they need data and analytics tools to support business decisions, but few small and midsize firms are able to fully realize the benefits.  Continue Reading

• Gartner's Sallam: Top BI vendors poised for next disruption

  Leading analytics vendors appear poised to remain innovative as AI becomes pervasive in BI, Gartner's Rita Sallam explains in a discussion about BI's present and future.  Continue Reading

• Gartner's Sallam: Top analytics platforms share common traits

  In an interview, Gartner analyst Rita Sallam discusses what separates the top BI vendors from the rest as well as the trends that will shape the future of analytics.  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

• MicroStrategy analytics suite fosters insurance co-op's growth

  Using MicroStrategy's BI platform, a Canada-based insurance co-operative has been able to spread analytics to end users throughout the organization.  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

• Multi-cloud strategy becoming a necessity for BI vendors

  Multi-cloud capabilities are becoming a necessity for BI and analytics vendors as their customers migrate to the cloud and want the flexibility to use the cloud service provider of their choice.  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

• Embedded BI the future of analytics

  Michael Saylor, CEO of MicroStrategy, discusses HyperIntelligence, the vendor's zero-click embedded analytics tool, as well as the trend of embedded analytics.  Continue Reading

• HyperIntelligence improvements a focus for MicroStrategy

  Since MicroStrategy introduced HyperIntelligence a year ago, the embedded BI tool has received an overwhelmingly positive response, CEO Michael Saylor said in an interview.  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

• 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

• 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

• Sigma analytics platform's interface simplifies queries

  Featuring a spreadsheet interface designed to make queries simple for citizen data scientists, Sigma Computing is trying to make analytics available to all business users.  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

• Storytelling using data makes information easy to digest

  In a Q&A, Nate Nichols and Anna Schena Walsh of AI-based analytics vendor Narrative Science talk about how data storytelling can make analytics accessible to business users.  Continue Reading

• Data-driven storytelling makes data accessible

  In a Q&A, Nate Nichols and Anna Schena Walsh of data storytelling vendor Narrative Science discuss their book on storytelling and how narratives can make analytics more accessible.  Continue Reading

• How to enhance your data science storytelling

  How do you create substantive, compelling stories for business executives from cold, hard numerical data? Experts share their tips on how to improve your data storytelling skills.  Continue Reading

• Investing in tech startups an act of trust for VC firms

  Investing in tech startups, including BI vendors, is about finding that quality that makes a company special, according to Vanessa Larco, a partner at New Enterprise Associates.  Continue Reading

• Differentiation key for BI startups when attracting investors

  A strong value proposition is crucial to attracting venture capital investments, said Vanessa Larco, a partner at New Enterprise Associates, in a Q&A about startup BI vendors.  Continue Reading

• 2019 BI trends included reality check for AI, consolidation

  AI features in BI products improved in 2019, but not at the pace predicted before the year began. Instead, advancement was incremental and consolidation was a dominant theme.  Continue Reading

• Data scientist vs. data analyst: What's the difference?

  Data scientists and data analysts have a lot of crossover in their roles, but they're certainly not the same. Here's a look at some key differences in the positions.  Continue Reading

• Easy-to-use coding tools a new opportunity for BI vendors

  In a Q&A, Yellowfin CTO Brad Scarff talks about why analytics software vendors have recently introduced low-code tools for developers as part of their offerings.  Continue Reading

• Low-code tools serve BI customer needs

  With easy-to-use tools for application development a growing trend among BI vendors, Yellowfin CTO Brad Scarff discusses the motivation behind them in part one of a two-part Q&A.  Continue Reading

• BI vendors jump into low-code/no-code tools for developers

  A spate of BI vendors included easy-to-use tools for developers in their recent updates, perhaps marking the start of a new trend in the analytics software market.  Continue Reading

• Operation Fistula uses data to treat childbirth injuries

  Aided by an analytics stack developed by Exasol, nonprofit Operation Fistula is working to end obstetric fistula in targeted regions around the world.  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 Foundation, Splash fight for clean water in schools

  With funding and analytics technology from Tableau, Splash, a global nonprofit organization, is providing clean water, sanitation and hygiene to children in Ethiopia and India.  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

• 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

• 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

• AI for BI at the heart of third-generation analytics

  Doug Henschen, analyst at Constellation Research, details in a Q&A some of the findings of his recent report on augmented capabilities in BI platforms.  Continue Reading

• AI at the core of next-generation BI

  AI is part of BI platforms, but this is only the start of a new analytics generation. In a Q&A, Constellation Research analyst Doug Henschen discusses AI tools in BI platforms.  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

• Intelligence as a service is key to nonprofit's urban planning

  Cobalt Community Research, a nonprofit organization based in Michigan, uses data collected and packaged by TruFactor for urban planning projects.  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

• Flowhub provides cannabis industry with tailored BI platform

  With marijuana now legal in some form in more than 30 states, Flowhub is selling business intelligence software to an industry still in its early stages.  Continue Reading

• Data integration problems a hurdle companies must overcome

  Relevant data is hard for organizations to find, Talend CEO Mike Tuchen says. So is mining the right data amid the complexity that large data stores have created.  Continue Reading

• Talend CEO discusses importance of mining relevant data

  Enterprises can't do good business intelligence without good data. In the first part of a two-part Q&A Talend CEO Mike Tuchen talks about how hard mining the right data can be.  Continue Reading

• Domain-specific BI vendors gain foothold with expertise

  While leading BI vendors target large audiences with their analytics tools, many other companies target a single specialized industry and use their expertise to best serve users.  Continue Reading

• Tableau vs. Qlik Sense: Pros and cons of the BI tools

  Products from the two top data visualization vendors are starting to resemble each other as the need for strong visualizations and scalability in self-service BI has crystalized.  Continue Reading

• 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

• 5 augmented analytics examples in the enterprise

  Here are the top examples of augmented analytics uses that BI vendors support and enable, including data preparation, NLP-based querying and automated insights.  Continue Reading

• Phocas BI tool proves its value for manufacturers, wholesalers

  With its focus on the manufacturing and wholesale distribution industries, Phocas Software has carved out a niche for itself among other BI software vendors.  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

• Analyst forecasts the next big things in BI

  In a Q&A, Wayne Eckerson looks at the state of the business intelligence industry, and self-service analytics, and discusses what new innovations excite him about the future.  Continue Reading

• Enterprises that use data will thrive; those that don't, won't

  A data divide is growing between enterprises that embrace business intelligence and those that don't. It's the data elite that will survive, analyst Wayne Eckerson says in a Q&A.  Continue Reading

• Howard Dresner talks business intelligence trends

  In this Q&A, analyst Howard Dresner talks about trends in the business intelligence software market, industry consolidation and what excites him about analytics.  Continue Reading

• Today's top data pipeline management challenges

  IT executives say pricing models, agility and auditability are some of the biggest challenges they have faced in managing today's increasingly complex data pipelines.  Continue Reading

• AI in digital marketing powers hidden advertisements

  With AI in advertising and marketing, companies can provide potential customers with more personalized results, while also increasing engagement rates.  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

• Social media analytics best practices tempered by privacy laws

  Social media provides a fertile landscape of information and insight into consumer behavior, but collecting and analyzing that data carries all sorts of privacy pitfalls.  Continue Reading

• 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

• A future data scientist needs business, deep learning skills

  As automation grows, data scientists will focus more on business needs, strategic oversight and deep learning and less on model creation and other routine tasks.  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

• Most in-demand data science skills include ML, Python

  Experts detail the skills employers want most in data scientists -- notably machine learning and programming languages -- and why often the most valuable expertise comes with time.  Continue Reading

• 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

• Qlik Research head talks Associative Engine, NLP and Data Swarm

  Elif Tutuk, research head at Qlik, discusses projects her team is working on -- including a smarter Associative Engine, multi-attribute visualizations and NLP.  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

• 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