Features
Features
Business intelligence management
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Treating data as a product a method to grow analytics use
Treating BI assets such as models and dashboards as commodities is an emerging trend as organizations continue to seek new ways of making analytics use more widespread. Continue Reading
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Infusion of generative AI into analytics a work in progress
Many vendors have introduced tools that integrate LLM technology with their platforms, but most are still refining the tools to ensure their accuracy and security. Continue Reading
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Business efficiency a place to start with generative AI
Increased efficiency is one of the main benefits of large language models, so one of the easiest ways for enterprises to start using LLM technology is by targeting inefficiencies. Continue Reading
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Generative AI hype evolving into reality in data, analytics
Organizations are already beginning to apply the technology to their data operations, helping expand analytics use to more employees and boosting the efficiency of data experts. Continue Reading
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Construct an event-driven architecture for real-time operations
Event-driven architecture is one tool to tap into the potential of real-time analytics. Organizations should understand the structure and challenges of EDA to get started. Continue Reading
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Data pipelines deliver the fuel for data science, analytics
While analytics and data science lead to informed decision-making, the systems that ingest data from its source and prepare it for consumption are what make analysis possible. Continue Reading
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Qlik unveils roadmap for analytics, data integration tools
The vendor plans to increase its connectivity to SaaS applications so users can integrate data from more sources and to add new APIs for embedded BI and automation. Continue Reading
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Overrated and underrated trends in analytics
Strong data governance frameworks are seemingly always underrated, while new data architectures such as data mesh and the promise of automated machine learning might be overrated. Continue Reading
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Experts predict NLP to be biggest BI trend this year
Given the advancements in chatbot technologies like the recent launch of ChatGPT, industry watchers expect analytics vendors to prioritize natural language query and analysis. Continue Reading
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Expert advice on how to start with self-service analytics
In addition to an easy-to-use BI platform, keys to developing a successful data culture driven by business analysts include a data catalog, executive support and good training. Continue Reading
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Data governance, AI among the past year's analytics trends
Organizations recognized data governance as an enabler of self-service BI and a way to keep data safe as well as that AI is best used to augment humans rather than replace them. Continue Reading
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AWS analytics tools help French utility go green
The cloud computing giant's suite enabled Engie SA to transition away from fossil fuels and now helps the French utility manage a network of renewable energy sources. Continue Reading
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Modernizing talent one of the keys to analytics success
Adding a chief data officer, hiring data engineers and implementing a data literacy program are crucial aspects of reaching a desired level of data maturity. Continue Reading
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Accounting giant boosts efficiency with Alteryx automation
Two years after starting a pilot program with the data and analytics vendor, the accounting firm has saved more than 100,000 work hours by automating repetitive tasks. Continue Reading
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Ricoh modernizes its analytics with Qlik
The information management and digital services company is beginning to develop a data culture, and the BI vendor's platform has enabled new efficiencies. Continue Reading
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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8 types of bias in data analysis and how to avoid them
Analytics can exhibit biases that affect the bottom line or incite social outrage through discrimination. It's important to address those biases before problems arise. Continue Reading
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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
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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
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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
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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
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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
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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
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What does a business intelligence analyst do?
Business intelligence analysts are key members of BI teams who analyze data, create dashboards and handle other duties. Here's a look at the job and the skills it requires. Continue Reading
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5 valuable business intelligence use cases for organizations
BI tools and applications can help improve decision-making, strategic planning and other business functions. Here's a look at five top BI use cases for organizations. Continue Reading
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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