Business Analytics
Top Stories
-
Feature
28 Jul 2026
How to get reliable BI insights from AI-augmented analytics
Before adopting AI-powered BI applications, organizations need stronger business context, trusted workflows and users prepared to assess AI outputs. Continue Reading
-
News
23 Jul 2026
Domo acquired for $400M, sells to Progress Software
Amid slow growth and a sliding stock price, the analytics provider is the latest specialist to join forces with a larger enterprise rather than remain independent. Continue Reading
By- Eric Avidon, Senior News Writer
-
Opinion
21 Jul 2026
Your AI isn't failing -- your metrics are
AI doesn't know what matters to your organization. It only knows what the business measures -- and weak metrics become problems when AI treats them as the goal. Continue Reading
-
Opinion
17 Jul 2026
Will AI replace data analysts: A year and a half later
Organizations should foster and fund -- not terminate -- entry-level positions in favor of AI. Junior talent is key to the long-term success of AI agents. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
02 Jul 2026
Qlik launches data engineering tools to aid AI development
New capabilities, such as data quality agents and a feature that makes data products more reusable, support engineers to help organizations more easily achieve their AI goals. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
25 Jun 2026
Tableau, Qlik in flux: What it means for BI users amid AI shift
Ongoing transitions at Tableau and Qlik highlight how the rise of AI-driven analytics is changing the roles and technology needs of data analysts -- and the BI market. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
24 Jun 2026
Upskilling is key to building AI-driven data teams
External hires and consultants can help, but strengthening the current data team for AI work often leads to quicker progress, lower costs and better retention. Continue Reading
By- Nicole Viera, Associate Site Editor
- Kogan Page
-
Tip
12 Jun 2026
Why a dashboard audit matters before BI cleanup
Managing large BI estates takes more than deleting stale dashboards. To keep order, leaders need to assess analytics usage and assign ownership to prevent clutter from returning. Continue Reading
-
Guest Post
09 Jun 2026
Why the rush to replace dashboards with AI is a mistake
AI-generated answers are getting better fast, but dashboards still do something AI can't, even as the line between them blurs more every day. Continue Reading
By- Sireesha Pulipati, Shopify
-
Feature
22 May 2026
How dashboard sprawl challenges upend enterprise analytics
The proliferation of dashboards, coupled with conflicting data definitions, exposes governance issues in organizations and reduces the ROI of analytics investments. Continue Reading
-
Feature
06 May 2026
Tableau in transition as AI forces BI vendors to evolve
With its new context layer for AI, the vendor is attempting a needed evolution as agents and other cutting-edge tools reduce enterprise reliance on traditional analytics. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
05 May 2026
New Tableau leader talks vendor's evolution in era of AI
With longtime data and analytics providers pivoting to find their role within AI workflows, Mark Recher takes over during a time of transition for the vendor. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
05 May 2026
Tableau repositions for AI, unveils new knowledge layer
The Agentic Analytics Platform is designed to help users operationalize contextually relevant data for agents and demonstrates the vendor's ongoing evolution. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
01 May 2026
Business intelligence challenges intensify as AI use grows
AI can produce analytics findings more quickly, but it's all for naught if data quality lags and organizations don't address that and other issues in BI systems. Continue Reading
By- Tom Walat, Editor
-
News
30 Apr 2026
Qlik's Capone departs after eight years as CEO
With AI the dominant trend in data and analytics, the vendor's leader leaves after guiding it through its cloud transition and additions of data integration and AI capabilities. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
28 Apr 2026
Latest SAS capabilities focus on fostering reliable AI
Features including an MCP server and a framework for developing agents aim to enable trustworthy AI-powered analysis while also helping the vendor catch up to its competition. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
27 Apr 2026
GoodData joins agentic AI development mix with Agent Builder
Automatic connections to relevant data through a context layer and a no-code development interface aim to simplify building context-aware, cutting-edge applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
15 Apr 2026
How business leaders can make a data-literate culture stick
Data literacy is an ongoing, interactive process. With executive support, a data-literate culture eases backlogs, improves AI outcomes and fosters better decision-making. Continue Reading
By -
News
14 Apr 2026
Latest Qlik tools target helping users achieve AI goals
New analytics, data engineering and governance capabilities are aimed at enabling customers to successfully build and deploy agents and other advanced applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
13 Apr 2026
AI in business intelligence: How to manage it effectively
AI tools are becoming a key part of BI systems, both to streamline tasks and add new analytics capabilities. Here's how to successfully integrate AI into BI processes. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
01 Apr 2026
Domo drives customer excitement with latest AI capabilities
New features including an MCP server keep the vendor current with industry trends and have users imagining what's possible with agentic AI. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
31 Mar 2026
Top data preparation challenges and how to overcome them
Data preparation is a crucial but complex part of analytics and AI applications. Don't let these seven common challenges send your data prep processes off track. Continue Reading
By- Rick Sherman, Athena Solutions
-
Tip
27 Mar 2026
Build a data literacy program to fit company needs
Want better decisions? Invest in a role-based data literacy program that aligns training to workflows, builds trust in metrics and improves execution on business goals. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
27 Mar 2026
As AI advances, Domo is evolving to meet customer needs
Once viewed as an analytics specialist, the vendor's product development plans are now focused on helping users build agents and other applications that can be trusted and deployed. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
26 Mar 2026
Domo adds new governance tools to improve data access
With AI applications taking on more business workflows, new capabilities are aimed at enabling system administrators to ensure the appropriate use of data. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
25 Mar 2026
Domo doubles down on AI with latest platform additions
New features such as an AI Library, a framework for building agents and an MCP server are all aimed at better enabling customers to operationalize their AI initiatives. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
19 Mar 2026
ThoughtSpot domain-specific Spotter agents target AI success
With many enterprises struggling to successfully develop AI tools, the vendor's latest capabilities help AI applications access the context they need to be production-ready. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
12 Mar 2026
8 benefits of using big data for businesses
Big data is a valuable resource for improving business processes and driving innovation. Here are eight ways big data applications benefit companies. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
12 Mar 2026
GoodData's Context Management aims to make AI trustworthy
The new context layer includes semantic modeling and governance to make data consistent and discoverable for AI and could help the vendor distinguish itself from some competitors. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
09 Mar 2026
9 data analytics biases and how executives can address them
Analytics can exhibit biases that affect the bottom line or cause reputational damage through discrimination. It's important to address those biases before problems arise. Continue Reading
-
Tip
05 Mar 2026
10 predictive analytics platforms for enterprises in 2026
The leading products have evolved into autonomous ecosystems that use AI agents and natural language to accommodate users at every skill level and accelerate decision-making. Continue Reading
-
News
26 Feb 2026
Yellowfin boosts analytics suite with new NLQ capabilities
The vendor's latest update adds features that bring it more in line with competitors that have been faster to move beyond traditional BI to power their platforms with AI. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
25 Feb 2026
Build a business intelligence team to optimize data use
Leaders who want to protect data investments must build a strategic business intelligence team with five core roles: the expert, architect, designer, analyst and data steward. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
18 Feb 2026
Improving business forecasting with synthetic data and simulation modeling
Synthetic data and simulation forecasting help executives overcome data constraints, test scenarios and strengthen strategic decision-making under uncertainty. Continue Reading
By- Kashyap Kompella, RPA2AI Research
-
News
18 Feb 2026
ThoughtSpot boosts agentic push with Analyst Studio update
A data prep agent and caching capabilities aimed at helping users control spending help the vendor stand out from its peers as it evolves toward becoming an agentic data platform. Continue Reading
By- Eric Avidon, Senior News Writer
-
Definition
17 Feb 2026
What is data visualization?
Data visualization translates information into charts, maps or other graphics to show patterns, trends and outliers in a way that can be grasped quickly. Continue Reading
By- Tom Walat, Editor
-
Feature
16 Feb 2026
18 data science tools to consider using in 2026
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
-
Tip
11 Feb 2026
6 essential big data best practices for businesses
These best practices can help data leaders create an effective big data strategy that meets an organization's analytics needs and delivers valuable business benefits. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
10 Feb 2026
Qlik launches agentic experience to fuel AI-powered analysis
The vendor's latest capabilities, including an insight-generating agent and an MCP server, show that it is evolving to keep pace with current trends in data and analytics. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
30 Jan 2026
Why ethical use of data is so important to enterprises
Enterprises that don't use data ethically have a lot to lose. To maintain their businesses' trustworthiness and value, executives must craft a comprehensive, transparent strategy. Continue Reading
By -
News
28 Jan 2026
Domo adds App Catalyst to platform to aid AI development
By combining natural language code generation with enterprise-grade security and governance, the vendor aims to help customers more successfully build cutting-edge applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
23 Jan 2026
The future of business intelligence: 10 top trends in 2026
Here are 10 key trends affecting the current state and future direction of BI initiatives that analytics leaders should be aware of. No surprise: AI use is among them. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
21 Jan 2026
GoodData launches MCP server to fuel AI-powered analysis
By connecting its platform and customers' AI tools, the vendor is enabling users to automate the analytics workflow and speed insight generation. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
15 Jan 2026
Big data analytics and business intelligence: A comparison
BI and big data analytics support different types of analytics applications. Using them in complementary ways enables a comprehensive data analytics strategy. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
13 Jan 2026
Sisense targets embedding AI with latest new features
Tools such as an MCP server and a natural language assistant demonstrate the vendor's evolution toward artificial intelligence as the interface for analytics. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
06 Jan 2026
Data science applications across industries in 2026
Industries like healthcare, retail and finance use data science applications to improve diagnostics, optimize operations, forecast trends and prevent fraud. Continue Reading
By -
News
10 Dec 2025
ThoughtSpot automates full platform with new Spotter agents
With agents for data modeling, dashboard development and embedding applications, the vendor is simplifying processes that have historically slowed analytics workflows. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
02 Dec 2025
9 examples of business intelligence use cases for companies
BI tools and applications can help improve decision-making, strategic planning and other business functions. Here's a look at nine top BI use cases for organizations. Continue Reading
-
Tip
26 Nov 2025
10 dashboard design principles and best practices
Dashboards are a key tool for delivering analytics data to business users. Here's how BI teams can design effective dashboards to help drive informed decision-making. Continue Reading
-
Feature
14 Nov 2025
Ng: Biggest benefit of AI may be unlocking unstructured data
Tech entrepreneur Andrew Ng says that in addition to autonomous action, one of the most beneficial applications of AI is enabling easy access to valuable unstructured data. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
07 Nov 2025
15 common data science techniques to know and use
Data scientists use statistical and analytical techniques to analyze data sets. Here are 15 popular classification, regression and clustering methods. Continue Reading
By- Ron Schmelzer, Scalebrate and Exponential Scale
-
Tip
15 Oct 2025
Master these skills to get the right data scientist role
Data science offers many professional opportunities. Balance education and experience to present yourself as an adaptable and data-savvy candidate. Continue Reading
By -
Tip
01 Oct 2025
Best practices for using simulation models in business
Simulation models provide businesses with a framework for forecasting and strategy through tested practices in finance, healthcare and logistics. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
News
24 Sep 2025
Incorta unveils features as part of new focus on AI
The vendor's new AI-focused features include a Model Context Protocol layer for developing agents and prebuilt agentic AI capabilities to assist with specific tasks. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
11 Sep 2025
Sigma Computing intros array of new AI, analytics tools
The new features, most of which are not yet generally available, are aimed at enabling more nontechnical employees within enterprises to work with data to inform decisions. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
10 Sep 2025
ThoughtSpot Embedded update boosts agentic AI capabilities
The new release lets customers, including ISVs, embed the latest version of the analytics vendor's Spotter agent, which now enables access to unstructured data. Continue Reading
By- Eric Avidon, Senior News Writer
-
Definition
09 Sep 2025
What is a standard operating procedure (SOP)?
A standard operating procedure is a set of step-by-step instructions for performing a routine activity. Continue Reading
By- Paul Kirvan
- Cameron Hashemi-Pour, Former Site Editor
- Kate Brush
-
Feature
03 Sep 2025
Real-time edge analytics use cases for business
Real-time edge analytics use cases in manufacturing, logistics, healthcare and retail show how localized processing balances latency, compliance and integration. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
28 Aug 2025
AI in sports: Agents and the future of analytics
Pragmatic advances such as improved data integration and streamlined information delivery will aid teams, as will transformative gains including agent-driven game strategies. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
27 Aug 2025
AI in sports: How modern tools are changing analytics
With recent technological advances making it easier to access and operationalize data, advanced analysis is now the norm for teams when evaluating players and plotting strategy. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
26 Aug 2025
AI in sports: A look back at the analytics pioneers
Where once baseball's Oakland A's gained a strategic edge by discovering undervalued statistics, teams across all sports are now using emerging technologies to inform decisions. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
26 Aug 2025
Using simulation forecasting in business analytics
Simulation forecasting allows organizations to explore future scenarios, strengthen planning efforts and improve outcomes through advanced modeling techniques. Continue Reading
By -
Feature
05 Aug 2025
What makes an effective data science team structure?
Data science team structures vary in strength, and their success depends on how roles and leadership align with business goals to meet analytics needs. Continue Reading
-
Tip
28 Jul 2025
Synthetic data vs. real data for predictive analytics
Synthetic data helps simulate rare events and meet privacy compliance, while real data preserves natural variability needed to evaluate models against unpredictable conditions. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Tip
16 Jul 2025
7 predictive analytics skills to improve simulation modeling
Predictive analytics skills such as statistical analysis, data preprocessing and model evaluation can help data professionals build more accurate, dynamic simulation models. Continue Reading
By -
News
08 Jul 2025
Knime updates framework for agentic AI development
The open source analytics vendor is keeping up with competitors by providing features aimed at enabling users to create cutting-edge applications capable of autonomous action. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
02 Jul 2025
Qlik adds trust score to aid data prep for AI development
By measuring dimensions such as diversity and timeliness, the vendor's new tool helps users understand if their data is properly prepared to inform advanced applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
01 Jul 2025
Agents, semantic layers among top data, analytics trends
The top 10 predictions for the next few years are all influenced by the increasing deployment of AI to help make business decisions and take action. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
13 Jun 2025
ThoughtSpot evolving as BI becomes driven by AI
Recent releases, including the Agentic Analytics Platform and Agentic Semantic Layer, demonstrate that the vendor continues to be creative amid the changing analytics industry. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
11 Jun 2025
Latest Databricks tools use AI to simplify AI development
Fueled by user feedback, the vendor's newest features include a framework that automates building agents and a no-code interface for creating the pipelines that feed applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
09 Jun 2025
7 top cloud-based analytics tools for enterprise use
Cloud-based analytics tools offer flexible deployment, advanced visualization and integration capabilities to help organizations turn data into actionable insights. Continue Reading
-
News
06 Jun 2025
More reasoning, interoperability key to future of agentic AI
As agents evolve from hype to reality, research and industry must collaborate to improve agents' recall and ability to work together so that they can realize their full potential. Continue Reading
By- Eric Avidon, Senior News Writer
-
Definition
03 Jun 2025
What is data preparation? An in-depth guide
Data preparation is the process of gathering, combining, structuring and organizing data for use in business intelligence, analytics and data science applications, as explained in this guide. Continue Reading
By- Craig Stedman, Industry Editor
-
News
28 May 2025
Sisense unveils new suite of AI-powered capabilities
Featuring a natural language interface and autonomous capabilities to augment human analysis, the vendor's toolkit simplifies developing and embedding advanced applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 May 2025
New Microsoft database, analytics tools target agentic AI
New features across the tech giant's broad array of BI and data management offerings, including Fabric and OneLake, provide developers with tools for agentic AI development. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
15 May 2025
Qlik evolves to keep up with latest AI, analytics trends
The longtime BI vendor continues to expand beyond its historical base to keep current with what's happening in GenAI and agentic development, analytics, and data management. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
14 May 2025
4 types of simulation models used in data analytics
Combining different types of simulation models with predictive analytics enables organizations to forecast events and improve the accuracy of data-driven decisions. Continue Reading
By- Kurt Cagle, The Cagle Report
-
News
14 May 2025
Qlik unveils agentic AI capabilities, launches lakehouse
An insight generation tool and capabilities that unlock unstructured data are among the longtime analytics vendor's latest features, while a data lakehouse represents expansion. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
07 May 2025
SAS update targets responsible agentic AI development
The longtime independent analytics vendor's latest Viya platform update includes Intelligent Decisioning, a set of governance-infused capabilities for developing agents. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
06 May 2025
8 top cloud analytics certifications
Cloud data analytics certifications enhance careers and business efficiency. Compare costs, skills taught and time required to earn top credentials. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Feature
30 Apr 2025
Telecom giant uses Tableau Pulse to drive analytics adoption
As part of an effort to enable its employees to make data-informed decisions, Virgin Media O2 is using the GenAI-powered insight generator to show workers what's possible. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
24 Apr 2025
Yellowfin joins GenAI fray, launches new NLQ capabilities
The longtime BI vendor is the latest to add generative AI-powered natural language query capabilities aimed at enabling more users within organizations to use complex capabilities. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
15 Apr 2025
Tableau enters the agentic AI era with the launch of Next
The new platform features agents addressing needs such as data preparation and natural language-based analysis, and includes a semantic layer that targets relevancy and accuracy. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
14 Apr 2025
8 top self-service analytics tools
Self-service analytics tools, such as Power BI, Tableau and Qlik, help users analyze data independently with AI, automation and intuitive dashboards. Continue Reading
By -
News
27 Mar 2025
AWS boosts Q in QuickSight with AI-powered scenario analysis
Driven by customer feedback, the BI platform now enables nontechnical and expert users alike to model data and perform deep analytics using generative AI-fueled natural language. Continue Reading
By- Eric Avidon, Senior News Writer
-
Opinion
27 Mar 2025
The importance of data products
Treating data as a product enables organizations to turn raw information into actionable insights through intentional design, cultural alignment and AI-ready architecture. Continue Reading
By- Stephen Catanzano, Senior Analyst
-
Omdia
Intelligence and advice powered by decades of global expertise and comprehensive coverage of the tech markets.
-
News
26 Mar 2025
Databricks partners with Anthropic to aid GenAI development
With the Claude line of models natively available in the Data Intelligence Platform, developers can securely combine data and AI models to build agents and other applications. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 Mar 2025
Domo unveils agentic AI toolkit to simplify development
Agent Catalyst provides users with a four-step process for developing agentic applications, including selecting an LLM and connecting it to relevant proprietary data. Continue Reading
By- Eric Avidon, Senior News Writer
-
News
20 Mar 2025
DBT Labs launches AI copilot to boost developer efficiency
The assistant includes features such as autogenerated documentation and testing to relieve developers and engineers of repetitive tasks and free them up for more innovative work. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
20 Mar 2025
What is a fully integrated cloud-based data analytics platform?
Fully integrated cloud-based data analytics platforms offer a comprehensive, scalable and secure approach to managing the entire data analytics process. Continue Reading
By -
Tip
19 Mar 2025
5 top self-service analytics use cases
Discover how self-service analytics empowers businesses across industries, enabling faster insights, better decision-making and greater data-driven innovation. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Definition
17 Mar 2025
What is data curation?
Data curation is the process of creating, organizing and maintaining data sets so people looking for information can access and use them. Continue Reading
By- Kinza Yasar, Technical Writer
- Mary K. Pratt
-
Feature
14 Mar 2025
Data preparation in machine learning: 4 key steps
Data preparation for ML is key to accurate model results. Clean and structure raw data to boost accuracy, improve efficiency, and reduce overfitting for more reliable predictions. Continue Reading
By- Donald Farmer, TreeHive Strategy
-
Definition
14 Mar 2025
What is unstructured data?
Unstructured data is information, in many different forms, that doesn't follow conventional data models, making it difficult to store and manage in a mainstream relational database. Continue Reading
By- Nick Barney, Technology Writer
- Katie Terrell Hanna
- Craig Stedman, Industry Editor
-
News
14 Mar 2025
Sigma Computing launches Data Apps to boost analytics
The vendor's new application development feature enables users to create custom apps that combine data collection, insight generation and process automation to improve analysis. Continue Reading
By- Eric Avidon, Senior News Writer
-
Tip
12 Mar 2025
The pros and cons of self-service analytics
Self-service analytics lowers skill barriers for data use but does require training and financial investment. Evaluate the pros and cons before deciding if it's the right fit. Continue Reading
By -
News
05 Mar 2025
Solving specific problems driving enterprise adoption of AI
When weighing the benefits and risks of deploying AI at scale, whether the tools solve specific problems can accelerate deployment, Sisense CEO Ariel Katz says. Continue Reading
By- Eric Avidon, Senior News Writer
-
Feature
04 Mar 2025
7 data storytelling examples: How to turn data into stories
Various techniques can be used to tell data stories. Here are seven examples of data storytelling approaches implemented by practitioners to create effective stories. Continue Reading
By- Ted Cuzzillo, Datadoodle
-
Tip
03 Mar 2025
9 best practices for self-service analytics
Expecting business benefits from an analytics platform everyone can use? Take the right steps before putting the tool into users' hands. Continue Reading
-
Tip
13 Feb 2025
8 steps to improve data visualization literacy
Data visualization literacy is a crucial element of analytics -- it helps you communicate findings. These eight steps can help you improve your DVL. Continue Reading
-
Definition
07 Feb 2025
What is social media analytics?
Social media analytics is the process of collecting and analyzing audience data shared on social networks to improve an organization's strategic business decisions. Continue Reading
-
News
06 Feb 2025
Super Bowl teams show analytics gaining ground in NFL
As data-driven decision-making gains ground in pro football, both the Eagles and Chiefs have gained advantages from using advanced statistical analysis. Continue Reading
By- Eric Avidon, Senior News Writer