Explore media coverage

Self-service business intelligence (BI) is an approach to data analytics that enables nontechnical business users to access and explore data sets. These tools work even if users don't have a background in BI or related functions such as data mining, statistical analysis and data science. Self-service BI tools let users filter, sort, analyze and visualize data points without involving an organization's BI teams and IT departments. Self-service BI capabilities make it easier for employees -- from executives to frontline workers -- to get useful business insights from the data collected in BI systems. The primary goal is to drive...

The longtime analytics vendor's latest release addresses the accuracy of artificial intelligence outputs and includes an integration that enables users to query bots within Teams. MicroStrategy on Tuesday launched its latest platform update, featuring new generative AI capabilities aimed at providing more accurate query responses and enabling customers to use generative AI within their workflow. In addition, the MicroStrategy One platform now includes generative AI-fueled natural language summaries of data visualizations and text, among other new capabilities.

AI techniques such as machine learning, natural language processing, and predictive analytics help to automate processes of business analytics. AI-driven business analytics is leveraging advanced algorithms and machine learning (ML) techniques. Businesses can analyze vast amounts of data, uncover actionable insights, and predict trends with remarkable accuracy. Here, this article explores the techniques and tools that are reshaping the field of business analytics: Key AI Techniques in Business Analytics. Several AI techniques play a crucial role in modern business analytics. These techniques enable businesses to analyze data more efficiently and generate meaningful insights that lead to better decision-making.

A business intelligence architecture is a framework for the various technologies an organization deploys to run business intelligence and analytics applications. It includes the IT systems and software tools that are used to collect, integrate, store and analyze BI data and then present information on business operations and trends to corporate executives and other business users. The underlying BI architecture is a key element in the execution of a successful business intelligence program that uses data analysis and reporting to help an organization track business performance, optimize business processes, identify new revenue opportunities, improve strategic planning and make more informed...

Explore the transformative power of AI in business intelligence. Compare top programs and discover tailored solutions to elevate your organization’s decision-making.In today’s fast-paced world, business intelligence has become a cornerstone for successful organizations. As a decision-maker, you probably know that the emergence of artificial intelligence (AI) is set to revolutionize the way companies operate, analyze, and grow. In this friendly exploration, you’ll compare some of the top AI programs that enhance business intelligence capabilities. You’ll gain...

Retailers are increasingly "minding the store" with artificial intelligence. As always, late August has arrived far more quickly than anyone could anticipate. While summer technically doesn’t end for several weeks, most people view the sunny season ending when the calendar flips to September. To celebrate the summer of 2024 with a retail tech twist, let’s look back at five innovative AI rollouts that focused on store operations. Offering an assortment of hundreds of thousands of products, Utah-based upscale supermarket chain Harmons Grocery found capturing data and running reports to be difficult and time-consuming. This posed issues to employees trying to...

Data is a cornerstone of strategic decision-making and operational efficiency for businesses across all industries in today’s digital landscape. However, as the volume of data continues to expand exponentially, the challenge of maintaining its quality becomes increasingly complex. Poor data governance and quality costs organizations an average $12.9 million per year and can lead to misguided strategies, operational inefficiencies, and missed opportunities. These repercussions can have a large impact on organizations and lead to an erosion of trust in both customers and staff which can in turn impact profitability and overall performance.

Data analytics software helps businesses to analyze and visualize data, extract insights, and identify trends within large datasets. Data analytics software offers benefits such as real-time data for decision-making, customer behavior insights, time-saving automation, identification of inefficiency, and early detection of risks and fraud. Geekflare has researched and compiled the best data analytics software solutions based on features such as integration options, data visualization capabilities, scalability, real-time analytics, user interface, and pricing...

Domo has unveiled a special edition of its popular Data Never Sleeps (DNS) infographic, focused on the proliferation of artificial intelligence (AI). An extension of Domo’s award-winning annual DNS report, this AI Edition provides a deeper dive into the immense amount of AI data generated every minute and the impact this brings into our everyday lives. “When ChatGPT brought LLMs into the spotlight, it opened everyone’s eyes to just how impactful AI can be. We’ve seen a flood of AI applications emerge as a result,” said Ben Schein, SVP of Product at Domo. “Domo has reported on data volumes for...