Features

Features

• The next generation data scientist

  The data scientist role continues to evolve as AI takes hold and domain knowledge becomes paramount. Explore the skills and expectations required for the future data scientist.  Continue Reading

• AWS analytics helps vendor fight climate change

  Using a cache of analytics tools from AWS, Carbon Lighthouse is helping commercial property owners reduce carbon emissions while saving on energy costs.  Continue Reading

• Bundesliga delivering insight to fans via AWS

  Through its partnership with AWS, Germany's top soccer league is delivering advanced analytic insights to fans and broadcasters in real time during matches.  Continue Reading

• AI capabilities a target for merger and acquisition activity

  Analytics vendors are on the hunt for augmented intelligence capabilities, and with acquisition activity heating up, vendors specializing in AI could be targets for BI vendors.  Continue Reading

• How augmented analytics in healthcare improves patient outcomes

  High quality data has become essential to quality healthcare. Explore how augmented analytics is aiding healthcare organizations' efforts to provide better care for patients.  Continue Reading

• Utah agency tracks wildlife data with Google analytics tools

  Tools from the Google Cloud Platform enabled the Utah Division of Wildlife Resources to manage the growing amount of data that overwhelmed its on-premises system.  Continue Reading

• British rowing team employs SAS analytics to prep for Olympics

  Forced to train remotely during the pandemic, the British rowing team has used SAS software tools to develop training programs for its athletes ahead of the 2021 Summer Olympics.  Continue Reading

• Qlik analytics, DataRobot modeling fuel healthcare change

  Using Qlik's business intelligence capabilities and predictive modeling from DataRobot, an England-based healthcare organization is overhauling the way it addresses patient care.  Continue Reading

• Why do enterprises outsource analytics?

  As business data complexity increases, enterprises are turning to third parties for their analytics needs. Here are 10 reasons why companies are choosing to outsource analytics.  Continue Reading

• SaaS adoption, real-time BI among top analytics trends

  More enterprises using SaaS and the need for data in real time are among the top trends in analytics, according to Dan Sommer, senior director and market intelligence lead at Qlik.  Continue Reading

• Data scientist job outlook in post-pandemic world

  There was a lull in hiring for one of the hottest jobs in the U.S., but as lockdowns start to lift and offices start to reopen, the data scientist job outlook is changing.  Continue Reading

• Qlik keeps focus on real-time, actionable analytics

  In an interview, Qlik CEO Mike Capone discusses the vendor's focus on active intelligence, which means delivering actionable insights to users in real time within their workflows.  Continue Reading

• Gartner: Data-driven decision-making never more important

  Organizations must take a concerted approach to most effectively take advantage of their data, Gartner analyst Gareth Herschel said during the advisory firm's virtual conference.  Continue Reading

• What does NLP mean for augmented analytics?

  Explore how NLP is being used by augmented analytics platforms to improve employees' search capabilities, expand data visualization and build a data-driven culture.  Continue Reading

• 8 big data use cases for businesses and industry examples

  As the understanding of big data requirements increases, so do big data use cases. Here are eight ways businesses are using big data to improve operations.  Continue Reading

• Graph analytics uniquely suited for fighting financial crime

  As organizations attempt to stop financial crimes, graph technology can be a significant tool given the way it finds and reveals complex relationships.  Continue Reading

• 12 must-have features for big data analytics tools

  Searching for a big data analytics tool for your organization? Here are 12 key features to look for during the software evaluation and selection process.  Continue Reading

• Chief data officer role key to data-drive decision-making

  Though the first CDO was hired nearly 20 years ago, many organizations are only now beginning to realize the value of data and seek someone to oversee their data operations.  Continue Reading

• Graph analytics being used in childhood cancer research

  With relational databases limited in how they connect data points, graph database tools from TigerGraph are aiding the Technical University of Denmark's childhood cancer research.  Continue Reading

• Data scientist shortage leaves organizations uncertain

  Despite their desire to use data science in their decision-making process, some organizations can't find qualified data scientists to develop and run their data science initiatives.  Continue Reading

• Air Force's data overhaul makes analytics a priority

  With its data locked in legacy systems that didn't communicate with one another, in 2017 the Air Force started to overhaul of its BI stack to enable data-driven decision-making.  Continue Reading

• 6 reasons you may need data science as a service

  There are plenty of reasons to outsource all or part of a data science project to a service. Find out how enterprises are using DSaaS in their analytics pipeline.  Continue Reading

• Tennis great Venus Williams a devotee of analytics

  Tennis great Venus Williams, a seven-time Grand Slam singles champion, views data as a differentiator when she's on the court -- sometimes what separates winning from losing.  Continue Reading

• The top 4 self-service BI benefits for enterprises

  Self-service BI adoption is trending because it democratizes data access and analytics. Explore the benefits these platforms offer enterprises.  Continue Reading

• A look at the DataOps engineer role and responsibilities

  DataOps engineers and data engineers are often conflated, but they have separate, distinct responsibilities. Take a look at what differentiates the emerging role.  Continue Reading

• Collaborative analytics benefits enterprise data analysis

  Sometimes, having more eyes on a problem can help solve it a little bit faster. Experts talk about the enterprise benefits of implementing collaborative analytics.  Continue Reading

• Ultimate guide to business intelligence in the enterprise

  Enterprise BI systems bring a variety of uses, business benefits and challenges to organizations, as explained in this in-depth business intelligence guide.  Continue Reading

• Top tips for a successful self-service BI strategy

  As self-service BI adoption continues across enterprises, it's important to make sure you have a good strategy. Here are the top tips for a successful self-service deployment.  Continue Reading

• Gartner predicts data storytelling will dominate BI by 2025

  With analytics still the domain of data experts, Gartner predicts data narratives will be the BI capability that makes analytics accessible to a broad audience.  Continue Reading

• Top 5 enterprise graph analytics use cases

  Gartner expects enterprise graph analytics adoption to grow in the coming years. Read on to find out why the technology is on the rise across organizational markets.  Continue Reading

• Do you need a data warehouse for business intelligence?

  Some organizations have moved away from using data warehouses in their business intelligence strategies. Read on to find out how approaches to data storage for BI are changing.  Continue Reading

• TSA tracks PPE supply data with MicroStrategy amid pandemic

  The TSA has taken advantage of its lengthy relationship with MicroStrategy to develop tools to oversee its supply of PPE and keep employees as safe as possible during the pandemic.  Continue Reading

• Decision intelligence software boosted by analytics, AI

  Enterprise adoption of decision intelligence is projected to grow in the next few years. Find out how analytics and AI support decision modeling and how organizations are using it.  Continue Reading

• Automotive analytics drives consumer-focused industry

  The automotive industry and analytics have always worked in tandem, and now with a shift in focus from product to consumer prompted by market changes and economic downturn.  Continue Reading

• Data governance for self-service analytics best practices

  Establish a strong data governance strategy that will support your self-service analytics environment by including these best practices in your organization's process.  Continue Reading

• Why using graph analytics for big data is on the rise

  Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more.  Continue Reading

• Data governance framework key to analytics success

  Successful data-driven decision-making relies on good data at its core, and it's a strong governance plan that ensures the quality of an organization's data.  Continue Reading

• Key differences in uses of DataOps vs. DevOps

  As with DevOps, DataOps hinges on cooperation between teams and breaking down silos within an organization with the focus of implementing and maintaining a data architecture.  Continue Reading

• 6 top business benefits of real-time data analytics

  The potential benefits of real-time analytics applications for organizations include faster decision-making, increased business agility, better customer service and more.  Continue Reading

• DataOps engineer an emerging role in analytics

  As organizations accumulate more data and realize the need to implement a DataOps strategy, they are now seeking DataOps specialists to help implement and oversee data management.  Continue Reading

• Augmented analytics lead analytics trends for 2021

  Augmented analytics adoption was one of the top trends for 2020. Adoption still seems strong for 2021 as well as personalization the role of AI in analytics overall.  Continue Reading

• Analytics trends to watch in the coming year

  Process automation and continuous intelligence are among the BI trends to watch in 2021 as organizations employ analytics to become more efficient and agile than ever before.  Continue Reading

• Analytics in real estate thrive in the commercial market

  Data can drive everything from investment to redevelopment in the commercial real estate spaces, and analytics will continue to lead change in the industry.  Continue Reading

• Data literacy necessary amid COVID-19 pandemic

  Data literacy is perhaps more important now than ever before as healthcare organizations, governments and enterprises struggle to deal with the effects of COVID-19.  Continue Reading

• 15 common data science techniques to know and use

  Data scientists use a variety of statistical and analytical techniques to analyze data sets. Here are 15 popular classification, regression and clustering methods.  Continue Reading

• The data science process: 6 key steps on analytics applications

  The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users.  Continue Reading

• The top 5 enterprise advanced analytics use cases

  Advanced analytics adoption has been growing across industries. The technology has many growing use cases in enterprises, but these are the top five.  Continue Reading

• Coronavirus quickly expands role of analytics in enterprises

  While NLP and embedded BI were expected to be key analytics trends, the effect of the pandemic on enterprises' takeup of analytics instead was the biggest development of 2020.  Continue Reading

• Event streaming technologies a remedy for big data's onslaught

  Event streaming is emerging as a viable method to quickly analyze in real time the torrents of information pouring into collection systems from multiple data sources.  Continue Reading

• Brain teasers and other fun tips for learning Python

  Learn about some interesting ways Python coders can grow their skills in the language and the importance of connecting and learning from others in the community.  Continue Reading

• Data literacy framework must-haves for enterprises

  As data becomes increasingly important to enterprises, employees beyond the data team need to be data literate. And data literacy programs need certain components to succeed.  Continue Reading

• Data a key driver in fight for social justice

  Analytics can be a critical tool in the social justice movement, but cultural and logistical hurdles can prevent nonprofits from using analytics to its full potential.  Continue Reading

• Why ethical use of data is so important to enterprises

  With everything else going on this year, data privacy has been front of mind for many consumers, accompanied by ethics related to how their data is collected and used.  Continue Reading

• How DataOps architecture benefits your analytics strategy

  A DataOps framework can provide access more efficiently throughout an organization to ease the analytics process and deliver insights faster.  Continue Reading

• Chief data and analytics officer roles: What you need to know

  Whether you have a chief analytics officer or chief data officer, there is a need for a unified leadership structure for data and analytics in the enterprise.  Continue Reading

• Data literacy skills key to cost savings, revenue growth

  As organizations develop data-driven cultures, they need to implement programs to teach employees how to work with and make decisions based on high-quality data.  Continue Reading

• Developing a data-driven culture begins with enablement

  In an interview, Jennifer Redmon, chief data and analytics evangelist at Cisco, talks about how she helps organizations enable their employees to work with data.  Continue Reading

• Enterprise analytics benefits of natural language processing

  As more analytics vendors adopt natural language tools, enterprises may want to think about the benefit the technology provides to their analytics abilities.  Continue Reading

• Emotions analytics helps Hotels.com connect with customers

  While traveling has been halted for most of us, marketing efforts in hospitality still go on, and one way to sharpen those efforts is building an emotional connection -- with data.  Continue Reading

• Certificates important to the data science learning path

  While data science certificates have value in the professional world, candidates must make them a piece of a larger drive for technical mastery and continued education.  Continue Reading

• Analytics in construction has potential to save lives

  While minor injuries are on the decline in the construction industry, the rate of fatalities has remained flat, and BI could be a way to bring those numbers down.  Continue Reading

• Miscues in 2016 inform presidential polling data in 2020

  Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.  Continue Reading

• Data-driven storytelling opens analytics to all

  Data storytelling, because it interprets and explains data, extends business intelligence to business users and not just those trained in data analysis.  Continue Reading

• What makes up a strong data science team structure?

  Enterprises rely on a strong data science team to get the most from their data. Read on to find out what talents you'll need to employ to support your organization's data.  Continue Reading

• Comparing business intelligence vs. business analytics

  Business intelligence with descriptive analytics gives a better understanding of your current operations, while business analytics aims to inform future decisions.  Continue Reading

• Using data for public good in fight for racial equity

  While some data-driven methods recently have been publicly scrutinized for biases in practice, there are plenty of ways data can aid the fight for racial equity.  Continue Reading

• Baseball's Twins deploy Databricks to improve analytics power

  With the amount of data used to make player personnel decisions in baseball growing exponentially, the Minnesota Twins began using Databricks to improve their modeling capabilities.  Continue Reading

• Why more employees need data literacy skills

  Encouraging employees to learn data literacy skills can benefit any enterprise. Read on for some of the benefits and resources to take advantage of in building those skills.  Continue Reading

• 20 top BI tools and how to choose the right one

  To help you buy the right BI tool for your data analysis needs, here's a look at 20 leading technologies, the different types of BI software and key features to look for.  Continue Reading

• Python exploratory data analysis and why it's important

  Exploratory data analysis is a key step to building the best models to gain insight from your data. Read on to see how Python can be a useful tool in this process.  Continue Reading

• Alteryx ADAPT a program for laid-off workers, recent grads

  Alteryx is offering a free training program in data science to help people whose jobs have been affected by the COVID-19 pandemic, as well as new graduates entering the workforce.  Continue Reading

• Ensuring predictive model accuracy in the age of COVID-19

  Data scientists are used to concept drift, but the constantly changing data due to COVID-19 can be hard to address. Experts discuss how to maintain model accuracy in the pandemic.  Continue Reading

• Prescriptive analytics in healthcare finds use amidst pandemic

  Prescriptive analytics can provide organizations with actionable plans based on their gathered data and assist during a pandemic as well as in a post-pandemic world.  Continue Reading

• Implementing an analytics business plan requires commitment

  To get the most out of a data analytics business plan, companies must have clear goals and communication, as well as proper buy-in companywide.  Continue Reading

• Howard Dresner talks current trends in analytics

  In an interview on the state of business intelligence, longtime analyst Howard Dresner said cloud migration and AI features like natural language processing remain major trends.  Continue Reading

• Important resources in a data scientist education

  There are plenty of resources for data science learning for people entering the field all the way up to managers. Read on for key resources and an excerpt from a new book on data science skills.  Continue Reading

• State of the self-service analytics market

  Self-service analytics are important to strong enterprise analytics. Experts talk about how top vendors in the market are keeping up with user needs.  Continue Reading

• Overcoming the top 3 analytics adoption challenges

  Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies.  Continue Reading

• More AI, ease of use will shape Sisense analytics platform

  After spending three years at Alteryx most recently, Ashley Kramer is now Sisense's new chief product officer. In an interview, she discusses her vision for the vendor's platform.  Continue Reading

• What does Salesforce mean for Tableau AI features?

  Tableau and Salesforce both offer AI features for their analytics tools. Experts talk about how the AI offerings from each platform can complement each other.  Continue Reading

• SAS analytics platform used to fight opioid epidemic

  As the opioid epidemic rages on, SAS has developed tools to help the healthcare and law enforcement agencies involved in the fight against opioid addiction.  Continue Reading

• Data drives the decisions behind making movies

  From the moment a script is submitted to the time a movie is released, analytics drive just about every decision made during the making of a feature film.  Continue Reading

• Benefits of embedded BI and customizable analytics

  Depending on your data needs, embedded analytics from a BI platform or a more custom-built analytics framework may work. Read on for the benefits of each option.  Continue Reading

• 2020 census data collection being affected by COVID-19

  The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door.  Continue Reading

• Student engagement data helps educators with remote learning

  Distance learning is necessary for most institutions during the COVID-19 pandemic. See how institutions are using analytics to measure their success in the shift.  Continue Reading

• Analytics critical to decisions about how to return to work

  Data plays a critical role in the decisions organizations make as they bring employees back to work, for both increasing production and managing their physical space.  Continue Reading

• Data science interview preparation: How to answer top questions

  A successful interview for a data scientist position relies on the ability to effectively communicate and demonstrate your combined experiences and skills.  Continue Reading

• Sisense helps Soft Stuff pivot business during pandemic

  Soft Stuff, a wholesale distributor of gourmet foods, was able to change its business strategy amid the COVID-19 crisis, thanks to its use of Sisense's analytics platform.  Continue Reading

• 4 features of great data visualization and storytelling

  Data visualization and storytelling go hand in hand when it comes to explaining data. Here are four ways to make sure you build and tell a strong data story for your audience.  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

• Cleveland Clinic's COVID-19 strategy driven by data modeling

  Cleveland Clinic is using data models developed in concert with analytics software vendor SAS to prepare for a potential surge in patients due to the COVID-19 pandemic.  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

• Toilet paper supply data reveals no shortage during pandemic

  Stores can't seem to keep toilet paper in stock during the COVID-19 crisis, but data from a paper industry analytics system shows there isn't actually a two-ply supply issue.  Continue Reading

• The COVID-19 impact on analytics professionals

  The global pandemic has forced many businesses to make quick changes. The COVID-19 impact on analytics professionals makes them imperative to changing business goals.  Continue Reading

• Key differences of a data scientist vs. data engineer

  Data scientists and data engineers often work together, and sometimes the positions are treated as the same. Read on to find out what makes the roles different from each other.  Continue Reading

• Importance of analytics clear amid COVID-19 crisis

  With health organizations and business leaders alike trying to minimize the effects of COVID-19, analytics is playing a critical role in the decision-making process.  Continue Reading

• AI tools in analytics software key in fighting COVID-19

  With data skewed by incomplete testing, augmented intelligence and machine learning tools are helping data scientists create predictive models to inform the fight against COVID-19.  Continue Reading

• COVID-19 data resources for volunteering data scientists

  Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers.  Continue Reading

• Varied experience builds strong data science background

  Data scientists need many skills and learn those skills from different backgrounds. Experts say relevant experience can come from nearly any quantitative field.  Continue Reading