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Self-service business intelligence is transforming the way organizations utilize data analysis. This authorizing model provides end users with the independence to research vast datasets and build insightful dashboards without dependence on IT specialists. The advantages are manifold: it simplifies decision-making, controls actionable insights, fosters collaborative efforts, simplifies daily operations, safeguards a unified understanding of data, and secures a competitive edge in the market. By democratizing data, self-service BI tools are not just tools but a transformative force in the business landscape.

Customer examples at Domo were plentiful - these are some of the highlights from the restaurant industry and construction that show how Domo Bricks and dashboards surface must-have insights for decision making and observability. Amid the keynotes and product launches at Domopalooza this year, I was keen to find out how customers are using Domo. Thankfully, there was no shortage of people willing to talk about their experience from the food service industry, retail and health and safety - and how Domo provides them with much more than dashboards.

The top business intelligence vendors give organizations the critical insights they need to make intelligent decisions for growth and development. As customer expectations continue to evolve, and competition in every industry increases, companies rely on BI vendors to help them drive their teams towards success. These companies offer companies tools and software solutions that transform data analysis, with deeper insights, artificial intelligence, automation and more. Additionally, many of these vendors ensure their BI solutions can integrate with existing contact center and CX tools.

The BI company Domo has just announced the release of its no-code app platform, App Studio, designed to enable any business user to automate their business processes with easy-to-create apps. It was previously in beta and is now officially generally available. Users can heavily personalize their apps by creating them in the studio, which offers the ability to change things like colors, logos, and fonts, and add charts, buttons, and icons with drag-and-drop functionality.

Keeping tabs on all the most relevant analytics and data science news can be a time-consuming task. As a result, our editorial team aims to provide a summary of the top headlines from the last week, in this space. Solutions Review editors will curate vendor product news, mergers and acquisitions, venture capital funding, talent acquisition, and other noteworthy analytics and data science news items.

At this year's Domopalooza, new product announcements focus on using generative AI to encourage conversing with data, and customer highlights on creating value. Anyone who works with data will be used to asking questions and looking for answers. It’s what we do. The more introverted among us can take solace in its quiet, steady nature. It’s rarely chatty. Not so at Domopalooza. We’re used to having conversations about data. At Domo’s first keynote this week, the focus is on conversing with data. Of course, data intelligence isn’t alone in these conversations - and no vendor conference would be complete without...

The latest string of evolutions in generative AI has companies everywhere excited about the potential of the technology. Business leaders in every industry are giving in to the FOMO, and racing to check “implement AI” off their list. However, in this new gold rush of tech possibilities, organizations are also beginning to stumble over unforeseen challenges related to their data. In my experience working with companies across industries, many still have data-related hills to climb with governance, cleanliness and labeling. These are causing hang ups in even some of the largest organizations in the world.

The top AI companies are leading the way in developing and deploying cutting-edge artificial intelligence applications across nearly every sector, from healthcare and finance to e-commerce, cybersecurity, and manufacturing. These AI companies are shaping the future of these diverse industries by demonstrating how AI can solve real-world problems and generate positive impact through various applications, such as diagnosing diseases and detecting fraud, optimizing supply chains, and personalizing customer experiences.

Augmented analytics represents a category of analytical techniques empowered by artificial intelligence (AI) and machine learning (ML), facilitating enhanced interaction with data at a contextual level. This category encompasses various tools and software solutions designed to extend analytical capabilities, including recommendations, insights, and query guidance, to a broader user base. According to insights from Gartner, augmented analytics involves leveraging enabling technologies such as machine learning and AI to support data preparation, insight generation, and insight explanation. This augmentation aims to enhance how individuals explore and analyze data within analytics and business intelligence (BI) platforms.