Features

Features

• Intersport boosts analytics, marketing efficiency with Knime

  Using the BI vendor's platform, the sporting goods retailer has reduced staff needed to attend to data, decreased time to build data workflows and improved marketing campaigns.  Continue Reading

• Automation, more security and governance next big BI trends

  As many data preparation and management tasks get automated, insight generation and action are the next likely targets for automation. Another key trend is more data governance.  Continue Reading

• 5 business analytics trends that shaped the start of 2022

  While AI and machine learning capabilities continue to evolve, another major movement in BI so far in 2022 has been to enable users to take action directly from insights.  Continue Reading

• Databricks platform fuels analytics at State Department

  The vendor's AI and machine learning capabilities have enabled the government agency to improve the effectiveness of its data analysis technology and its overall efficiency.  Continue Reading

• LA County modernizes hiring with Azure and Databricks

  The HR department of the largest U.S. county revamped its analytics stack in order to help reduce hiring times that often took more than a year.  Continue Reading

• Scottish EPA rebuilds with Tibco Spotfire after cyber attack

  After almost all of the agency's data and analytics tools were wiped out, it survived and then thrived using the analytics platform to fuel data-driven decision-making.  Continue Reading

• Qlik fuels solar equipment maker IronRidge's insights

  The manufacturer is using the analytics vendor's platform to harness both internal and external data and inform decision-making throughout the solar firm's partner network.  Continue Reading

• Baseball's Rangers seek analytics edge with Tableau

  Although the game's governing body provides comprehensive stats, the franchise is using the analytics vendor's tools to deliver digestible daily reports to gain a competitive edge.  Continue Reading

• HP deriving value from data with ThoughtSpot

  After experimenting with a variety of BI platforms, the computer giant found success with the analytics vendor's platform given its ability to handle scale.  Continue Reading

• How IT departments enable analytics operations

  IT departments enable analytics in organizations by ensuring that the data architecture is in place, including tools, processes and procedures.  Continue Reading

• Sound business process architecture requires key traits

  Business processes require a coherent enterprise-level architecture. In this excerpt from his new book, Roger Burlton identifies key traits business processes should share.  Continue Reading

• Databricks fuels analytics for Spain's top soccer league

  After prioritizing data-driven decision-making over the last decade, LaLiga is now using Databricks to inform its clubs and fans about play on the field.  Continue Reading

• ESPN improves app performance with Domo analytics tools

  The sports broadcasting giant is using a customer care application developed with the analytics vendor's tools to improve its app performance and streaming capabilities.  Continue Reading

• Seeking truth in crisis times shows importance of metadata

  Metadata gives context to data, and during crises like the war in Ukraine when it's difficult to know what news to trust, context can help distinguish truth from fiction.  Continue Reading

• 18 data science tools to consider using in 2022

  Numerous tools are available for data science applications. Read about 18, including their features, capabilities and uses, to see if they fit your analytics needs.  Continue Reading

• Sisense analytics tools spur growth at Hastings Mutual

  The insurance company is using the BI vendor's tools to improve data-driven decision-making efficiency and identify sales opportunities leading to revenue growth.  Continue Reading

• 8 benefits of using big data for businesses

  Big data is a great resource for driving smart business decisions and changes. Here are eight ways that the use of big data is improving how business gets done.  Continue Reading

• Good data-driven decision-making avoids common pitfalls

  Avoiding cognitive biases that can lead to the use of incomplete or inaccurate data is crucial to the successful use of analytics.  Continue Reading

• Crate & Barrel modernizes with MicroStrategy BI platform

  The home decor chain added governance capabilities and sped time-to-insight by adopting the longtime analytics vendor's platform after 14 years using a legacy system.  Continue Reading

• Trusted data key to MicroStrategy platform plans

  The vendor plans to add new capabilities this year that will provide AI-generated guidance to better enable self-service users to take action using governed data.  Continue Reading

• 6 data preparation best practices for analytics applications

  Amid issues of data sources, data silos and data quality, the process of collecting and prepping data for analytics applications requires a practical and effective approach.  Continue Reading

• HomeToGo turns data into action with Sisu analytics platform

  Slowed by a rising volume of data, the vacation rental vendor adopted the startup analytics vendor's platform to speed time-to-insight and fuel its product and marketing decisions.  Continue Reading

• Tableau dashboard tips and tricks from an expert author

  In this excerpt from his new book on using Tableau CRM, data expert Mark Tossell takes readers step by step through best practices for dashboard creation.  Continue Reading

• Data preparation in machine learning: 6 key steps

  Trustworthy analytics outcomes depend on the right data, requiring data scientists to focus on these steps when they prepare data for use in machine learning applications.  Continue Reading

• Top data preparation challenges and how to overcome them

  Data preparation is a crucial part of analytics applications, but it's complicated. Here are seven common challenges that can send the data prep process off track.  Continue Reading

• 8 analytics startups to watch over the next year

  Differentiation is key to the success of any new enterprise, and a crop of analytics vendors are delivering new capabilities to try to distinguish themselves.  Continue Reading

• Experts lay out data illiteracy's dangers, propose remedies

  In this excerpt from their new book 'Data Literacy,' top data management experts Peter Aiken and Todd Harbour outline a new way to gauge data learnedness.  Continue Reading

• 7 top predictive analytics use cases: Enterprise examples

  Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics in 2022.  Continue Reading

• Harness the power of data literacy through democratizing data

  Author Jordan Morrow weighs in on enterprise strategies to improve democratizing data through expanded use of BI and augmented analytics.  Continue Reading

• Data literacy aids democratization of data

  In this excerpt from 'Be Data Literate,' author Jordan Morrow discusses how 'hyped' area of analytics such as BI and embedded analytics contribute to the democratization of data.  Continue Reading

• Data the difference at Olympics for Allyson Felix

  Frustrated after winning silver in the 200 meters at the 2004 and 2008 Olympics, the sprinter used analytics to identify weaknesses and alter her training before winning gold in 2012.  Continue Reading

• Feeding America, Tableau use data to fight hunger together

  The nonprofit has partnered with the Tableau Foundation since 2015, and it is enabling its network of food banks to make data-driven decisions with the analytics vendor's tools.  Continue Reading

• QuickSight Q a potential winner for Amazon BI platform

  Since its introduction in 2016, Amazon QuickSight has offered solid but not top-of-market BI capabilities. The addition of a new natural language query tool could change that.  Continue Reading

• Knowing the right data enrichment techniques is crucial

  In 'The Enrichment Game,' the latest book by 'Data Guy' Doug Needham, you'll learn why and how to cull data to gain valuable insights and a business advantage.  Continue Reading

• Alation: How to develop a data governance framework

  Data governance should keep organizations from violating regulations while fostering data exploration and decision-making, but developing a strong set of guidelines is nuanced.  Continue Reading

• New Balance managing the pandemic with Tibco Spotfire

  New Balance, a manufacturer and seller of athletic shoes and apparel whose in-store sales plummeted due to the pandemic, used Tibco's BI tools to develop its e-commerce strategy.  Continue Reading

• Uplevel analytics tools lift software engineering efficiency

  Uplevel, a startup vendor whose focus is on improving the efficiency of software engineers, unveiled a set of new capabilities that use data to monitor software design projects.  Continue Reading

• Future of analytics will close gap between data, decisions

  As data increases in complexity and volume, a gap is growing between data intake and data-driven decision-making that analytics tools will need to address and aim to close.  Continue Reading

• Oracle Analytics helps Northwell Health meet staffing needs

  In need of an efficient way to determine staffing needs when the pandemic struck, Northwell Health got help with an Oracle Fusion Cloud Human Capital Management dashboard.  Continue Reading

• Dresner: Top analytics trend remains rate of adoption

  Increased investment in analytics and proliferation of data science capabilities are among the most significant ongoing trends in BI as the pandemic stretches into late 2021.  Continue Reading

• Data science vs. machine learning vs. AI: How they work together

  Data science, machine learning and AI are central to analytics and other enterprise uses. Here's what each involves and how combining them benefits organizations.  Continue Reading

• 8 top data science applications and use cases for businesses

  Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries.  Continue Reading

• How to structure and manage a data science team

  Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them.  Continue Reading

• 14 most in-demand data science skills you need to succeed

  The demand for data scientists continues to grow, but the job requires a combination of technical and soft skills. Here are 14 key skills for effective data scientists.  Continue Reading

• How to increase the success rate of data science projects

  Most data science initiatives don't produce value due to obstacles like poor data quality, but CNN senior lead of product analytics Bryce Macher has a plan for success.  Continue Reading

• Metals manufacturer uses Sisu analytics tools to spur growth

  In need of identifying repeat business opportunities, startup metals manufacturer Fractory used Sisu's platform to automate complex data queries and develop key metrics.  Continue Reading

• MicroStrategy analytics platform helps Medibank add value

  An Australian insurance company recently migrated its data operations to the cloud and, using MicroStrategy and AWS, has reaped benefits including improved efficiency.  Continue Reading

• Embedded analytics leads to improved productivity

  With many enterprises still in the early stages of using AI technologies, embedded BI remains a key means of making data accessible to a broad array of potential users.  Continue Reading

• Enabling collaboration a rising analytics trend

  A proliferation of tools that enable collaboration is an emerging trend among BI vendors as 2021 passes its midpoint. Adding AI capabilities, meanwhile, remains a major trend.  Continue Reading

• Top trends include value of analytics getting recognized

  The high valuations investors are placing on data and analytics vendors, as well as the importance of AI and self-service BI amid the pandemic, marked the first half of 2021.  Continue Reading

• Data and analytics key to ensuring water quality

  In an interview, Meena Sankaran, founder and CEO of water intelligence vendor Ketos, discusses water safety and how data can help monitor water quality and prevent problems.  Continue Reading

• Top 5 benefits of augmented analytics

  Learn how augmented analytics helps make companies more agile by expanding employee access to data and speeding the decision-making process -- all while saving costs.  Continue Reading

• Consider unique business needs when hiring a data scientist

  The experience and educational requirements common to data scientist roles have changed rapidly in recent years. Here's how to hire the right data scientist for your business.  Continue Reading

• Does hiring a freelance data scientist make sense for you?

  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

• 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

• Citizen data scientist training for augmented analytics

  Augmented analytics have made data analysis more accessible and led to the rise of citizen data scientists. But using these tools still require extensive training.  Continue Reading

• Tips to prep for a data science interview

  Interviewing is an important first step toward a data science job. Here's advice for what questions to expect and how a little research can help with the technical screening.  Continue Reading

• Tableau analytics capabilities aid World Food Programme

  The United Nations' World Food Programme is now using Tableau to inform its decision-making process and speed the time it takes to respond to crises worldwide.  Continue Reading

• Election data revolutionizes the running of campaigns

  Political campaigns used to rely primarily on polls to inform decisions, but with advances in technology over the past 15 years they are now using advanced analytics techniques.  Continue Reading

• 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

• What makes up an analytics pipeline?

  Analytics pipelines were traditionally hidden away, but they're changing as more organizations focus on agility for their data. Learn what makes up a successful 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