December 6, 2022


Business/Industrial Goods and Services

11 Best Business Intelligence Tools Of 2022 Ultimate Guide business intelligence

With advanced analytics, all key decision-makers are empowered to quickly find answers to predictive and statistical questions. While users across the organization can now craft a thoughtful, compelling, and visually stunning analytical story using data visualization extensions. Are you a current Oracle business intelligence customer fostering a data-driven culture with powerful, visually stunning analytics? The Oracle Analytics platform has empowered people across the organization to make faster, more informed, and mobile-enabled business decisions.

It also comes equipped with pre-built algorithms and ML model management tools. The cross-enterprise sharing option helps you share data and reports in real-time. What’s more, integration with Office helps you manipulate and filter data and identify different trends. The cloud-based analytics solution uses technologies, including in-memory computing and machine learning, to help you answer complex problems in just a few clicks. Mashup – Merge data from multiple sources using its drag-and-drop feature to access actionable insights, even if you are a non-technical user.


Organizations benefit when they can fully assess operations and processes, understand their customers, gauge the market, and drive improvement. They need the right tools to aggregate business information from anywhere, analyze it, discover patterns and find solutions. The next step is data analysis, which can be conducted through text mining, regression, descriptive and predictive analytics, and so on. By analyzing the data, the patterns behind the raw data can be discovered to forecast future trends.

The personalized assistant can determine what business report and graphics are required for your business meeting. It can translate speech to text and alert you when new data is available to analyze. IBM Cognos® Analytics is IBM’s AI-fueled business intelligence and analytics software that supports the entire data analytics lifecycle, from discovery to operationalization.

  • This was a top-down approach where business intelligence was driven by the IT organisation and most, if not all, analytics questions were answered through static reports.
  • Improve customer and employee experiences.BI users can mine data to spot patterns in customer and employee behavior, analyze feedback, and use insights to tailor and improve experiences.
  • One of the more common ways to present business intelligence is through data visualization.
  • Reporting and dashboarding are at the heart of a modern approach to analytics.
  • Although, what needs to be clear is that data collection alone is not enough for insights; processing and analyzing that data is what leads to actionable insights that drive business decisions.

Data visualizations show data in a way that is more accessible and understandable. Visualizations compiled into dashboards can quickly tell a story and highlight trends or patterns that may not be discovered easily when manually analyzing the raw data. This accessibility also enables more conversations around the data, leading to broader business impact. 2“Many historians suggest the modern version of business intelligence evolved from the DSS database,” says the IT education site Dataversity. “An assortment of tools was developed during this time, with the goal of accessing and organizing data in simpler ways. OLAP, executive information systems and data warehouses were some of the tools developed to work with DSS.(link resides outside DATAVERSITY.

Best Practices For Implementing Business Intelligence

Now branch managers can identify clients that may have a change in investment needs. And leadership can track if a region’s performance is above or below average and click in to see the branches that are driving that region’s performance. This leads to more opportunities for optimization along with better customer service for clients. More recent development has focused on self-service BI applications, allowing non-expert users to benefit from their own reporting and analysis. Modern cloud-based platforms have also extended the reach of BI across geographies.

A balanced scorecard is a performance metric companies use to identify and improve internal functions and their resulting external outcomes. One of IBM’s main BI products is its Cognos Analytics tool, which the company touts as an all-inclusive, AI-powered BI solution. Software companies produce BI solutions for companies that wish to make better use of their data. BI parses data and produces reports and information that help managers to make better decisions.

Automation and data visualization are two examples, which both are transforming the process of business intelligence. Business intelligence is focused on analyzing past and current data to paint a picture of the current state of the business. Data science takes a cross-discipline approach to analyzing the same data, using statistical algorithms and models to uncover hidden and predictive insights from structured and unstructured data. BI reporting – presenting data and insights to end users in a way that is easy to understand and act on – is fundamental to every business. Reports use summaries and visual elements like charts and graphs to show users’ trends over time, relationships between variables, and much more. They are also interactive, so users can slice and dice tables or drill deeper into data as needed.