Organizations aspire to be data driven—to use their ever-expanding stores of data to better understand their customers and markets, predict and get ahead of trends, and drive innovation and growth. But employees aren’t always comfortable or confident working with data. The latest generation of business intelligence software is changing that. Leveraging AI, machine learning, and embedded analytics, today’s leading BI solutions make it easier for non-technical users to create business value with data.
AI-powered business intelligence software helps organizations get the right data—and powerful yet accessible analytics capabilities—into the right hands, so the people who can benefit most from the data have the actionable insights they need to do their jobs better. They can use AI-fueled business data analysis to reinvent the customer experience, uncover new revenue streams, and drive transformation.
Business intelligence software is used by many industries, ranging from financial services to pharmaceuticals, and throughout the organization: by executives, financial managers, product managers, inventory managers, HR managers, and data analysts and in marketing departments and research and development.
Through executive reporting and strategic dashboards, C-suite executives use BI software to get updated, at-a-glance views of operational and financial performance, helping them spot trends, develop data-driven strategies, and pursue new directions based on what they find. Business managers use business intelligence software to obtain both high-level views of the business and granular information about operations in specific areas of the business. They can quickly access the information they need to make smarter decisions faster and share the insights they discover with other stakeholders. Business analysts use BI systems to visualize, explore, manipulate—and find meaningful correlations, patterns, and trends in—business performance data, accelerating business analysis and the distribution of insights across decision-makers. And all types of users can take advantage of new, AI-powered experiences like conversational analytics to quickly ask and answer questions to make data-informed decisions.
Business intelligence software has evolved in the decades since its inception. In recent years, we’ve seen the introduction of AI and natural language processing and growing interest in visual analytics. Since the 1990s, the BI system has been transformed from a centralized and complex technology stack run by IT to a decentralized, self-service oriented solution put in the hands of regular users. With today’s self-service business intelligence software, users throughout the organization can use BI to be more productive and impactful, while staying within a governed framework that ensures quality and trust. They can prepare, load, and interact with data in intuitive ways to make important discoveries and convey their findings to decision-makers using compelling visualizations, dashboards and reports. And now with AI enhancing the experience, more users can access and use powerful data analytics capabilities to surface insights from the vast amounts of data their companies collect.
This newest generation of BI tools leverages AI and machine learning techniques to automate data preparation and insight discovery—and fundamentally change how users interact with analytics. And what was once the purview of data scientists, advanced analytics including predictive and prescriptive analytics, can now be made available and accessible to citizen data scientists.
AI-powered business intelligence software knows your data and can suggest insights to users, helping them quickly jump to the right areas of their data and create smart visualizations and dashboards in seconds. With natural language interfaces, non-technical users can have conversations with data, interacting with analytics via voice commands, questions, and easy-to-grasp narratives.
Qlik Sense is the leading modern analytics platform for the enterprise - business intelligence software that augments and enhances human intuition with AI-fueled automation and insights suggestions. With support for BI use cases ranging from self-service data discovery to centralized reporting and analytics, Qlik Sense is the only BI solution you need. Retire legacy BI systems, and distribute the power of analytics to the people who need it most.
Let users of all skill levels explore your data without boundaries and create visual analytics applications and dashboards fast. With Qlik Sense, users can easily combine and load data, create smart visualizations in a flash, ask questions using natural language, and surface surprising insights they won’t find with query-based BI tools. Qlik Sense business intelligence software helps you realize the true power of your data by letting every user interact with it.
Qlik has been at the forefront of user-driven BI, so it’s no surprise that their vision for AI-powered business intelligence software is smart, democratized, and comprehensive. To help companies become fully data-driven—by empowering everyone in the organization—Qlik promotes:
Today it refers to technology or software applications used to collect, combine, and analyze various types of business-relevant information. It is used to transform data into insights that can be used to identify important trends and critical issues, inform decision-making, guide strategy development, and drive transformation.
It helps companies gather, integrate, analyze, visualize, and interpret data from different business systems and other internal and external data sources and allows business users to easily retrieve and extract valuable insights from this data. It helps users more easily access and work with large quantities of multi-sourced data, make smarter decisions, and share their findings with other stakeholders via reports and dashboards.
It is used for a variety of business performance use cases, such as revenue and sales forecasting, demand forecasting, market research, strategic planning, performance management, trend detection, customer behavior analysis, marketing campaign analysis, budget planning, financial reporting, operations optimization, reporting, and many others.