Of those who were set on a deployment method, 23 percent preferred cloud and eight preferred on-premise. The feature was mentioned in 81 percent of responses. The more educated the user base becomes, the more comprehensive and powerful the options will become. Of the respondents who didnât specifically request the above features, a significant portion listed them as ânice to have in the future.â For instance, while 42 percent required predictive analytics, another 16 percent thought that feature would be useful to implement in the future. Thanks for reading Karunakar! That said, itâs still a powerful analytics tool for finding game-changing insights. Hereâs a quick overview and explanation of the most popular types of BI software available on the market today. Do you feel like you have a better grasp on business intelligence tools examples? Sometimes it can be hard to move leads along the pipeline and convince potential clients to buy your product or service. This solution offers one of the more affordable options, with a free (but limited) version in addition to their basic package. It also involves securing the data. Are there different BI tools you’d have put on this best-of list? Better business intelligence leads to smarter business decisions, yet many companies continue to rely on outdated equipment and practices. The various business intelligence jobs involve direct contact with a company's technological and archived data in order to execute problem solving, consulting, and analyzing techniques based on the individual's expertise. What levels of encryption do you use for data at rest? The business leaders of today, in every industry, have discovered how to use their data to its fullest potential. Business intelligence combines a broad set of data analysis applications, including ad hoc analytics and querying, enterprise reporting, online analytical processing (OLAP), mobile BI, real-time BI, operational BI, software-as-a-service BI, open source BI, collaborative BI and location intelligence. It also involves securing the data. The best business intelligence tools take away the manual labor of strategy so business leaders can focus on big goals instead of small headaches. Itâs simple enough that non-technical users can easily create customized dashboards and other reports to find valuable insights. This analysis helps improve the productivity of business. The tools get smarter. "Small Business Trends" is a registered trademark. Sisense helps users understand data through vibrant visualizations. Many business intelligence solutions require companies to staff data analysts. With the Dundas BI solution, users can get data ported to any device and connect relational database, web services, Excel and other formats. These all business intelligence tools are really helpful to improve business productivity and less the paper work. Their theory holds that an individualâs overall intelligence is a result of different skills and abilities mixing and interacting together. So we shortened it down to a much more manageable 101 uses, which you can peruse to find some of the best uses of BI software: Get our BI Software Requirements Template. Even the smartest business intelligence tools leave a few things to chance. Business operations can generate a very large amount of information in the form of e-mails, memos, notes from call-centers, news, user groups, chats, reports, web-pages, presentations, image-files, video-files, and marketing material. Overall, a majority of respondents want basic functions (reporting, dashboards, etc.) BI consumers seem to think their needs are generally basic, but there also seems to be a lack of awareness of more advanced features and the benefits they could offer them. Big Data, data mining, data scientists and the like appear at the top of Google searches and blog headlines more than ever before, and with good reason. Thrâ¦ Or rather, Sisense can analyze it. This solution offers a user-friendly interface, powerful data visualization tools and interactive dashboards designed for quick and easy use. In addition, it performs exceptionally well when exporting analytics reports. Part of the appeal of this tool is its innovation in displaying aggregate data. There could also be an element of overpacking BI with features: many of these functions â especially data mining and ETL â are more focused on Big Data and may not be useful to SMBs. Say you’re running accurate simulations on opening a new store in Paris, Texas. Driving business decision making is the primary use of business intelligence and is accomplished by utilizing different techniques to understand historical, live, and predictive data. Anyone can use its in-browser tools and self-service portals. To get simple answers from complex data analysis, SAS BI Enterprise Server is a good platform choice. There was a similar trend with data mining (14 percent thought it would be something theyâd be interested in) and ETL (6 percent). You didnât think weâd give you all this information and leave you without some recommendations, did you? The proper utilization of data shouldnât be, nor is it, exclusive to the top players. Types of Business Intelligence ToolsBusiness intelligence (BI) is the ability to convert all of the data from a particular organizationinto knowledge. The Sisense BI platform provides one of the most popular, and one of our top-rated, all-in-one BI solutions. Others may not handle data sourcing with as much power as the competition, but they can turn chaotic pools of data into more digestible chunks. difference between Tableau and the competition, Visualize inventory and sales in real time, Integrate with cloud computing services like AWS, Create embedded dashboards in a separate internal system, Provide historical analysis on payroll, benefits and other employee HR data, Embed and/or generate professional reports for clients, Create predictive analytics dashboards and data visualizations, Transform various types of data into a standardized format, Predict trends using data forecasting to help with loss prevention efforts, Assess distribution statuses on-the-go with a mobile device, Analyze the results of your marketing efforts both over time and in real time, Optimize employee scheduling based on your highest and lowest foot traffic times, Analyze commonalities in routes for various truck types, bridge weight ratings, and more, Provide clients with self-service data visualization capabilities, Create custom types of business intelligence reports via drag and drop functionality, Provide every location with access to the same data, reports and reporting tools, Create dashboards that display real-time inventory data, Pull together different types of data including financial, practice management, HR and more, Predict future retail sales with demand forecasting, Aggregate and analyze customer survey results, Provide clients access to custom dashboards of their data, Use your BI tool for data warehousing employee data, Set revenue goals using predictive analytics, Find the most efficient transportation management systems for your supply chain, Compare the effectiveness of new distribution strategies to old strategies, Create a 360-degree view of financial data trends, Use drill down capabilities to find procurement inefficiencies, Set marketing goals using predictive analytics, Provide remote access to your field sales teams so they can use real-time data analytics in the field, Provide multiple users access to ensure data consistency company-wide, Evaluate the effectiveness of cybersecurity procedures, Pull and analyze data from a marketing automation software, Pull and analyze data from an EMR/EHR system, Set sales goals using predictive analytics, Compare compliance processes of different locations, Customize and integrate your BI tool into an open-source system, Automatically process, analyze and visualize large amounts of data in real time, Create multiple presentation-worthy reporting templates, Track the different stages of production and distribution over time, Create custom dashboards for each department based on their individual needs, Process sales pipeline data, social data, and user interface data, Allow clients to create their own custom reports with their related data, Pull and analyze data from an inventory management system, Discover the trends behind the peaks and valleys in revenue, Discover the best times for employee recruitment, Report on the allocation of distribution resources, Create multiple ad hoc reporting templates, Discover customer buying trends which can be used for customized product recommendations, Optimize appointment scheduling based on the most and least popular appointment times, Discover cases of potential fraud with trend analysis, Find the best location to open a new store or office based on market data, Automatically organize all your data in one location, rather than multiple spreadsheets, Set next yearâs budget using predictive analytics, Reduce overhead warehousing costs by identifying inefficient processes, Track and compare the distribution time of various locations, Discover the peak times for membership and other sign ups, Monitor web traffic specific to different marketing campaigns, Evaluate eCommerce cart abandonment rates, Compare your competitorsâ growth over a given time with your own, Assess how often departmental and organizational goals are met, Analyze patientsâ medical data to find patterns and correlations in their symptoms, Discover trends in inventory usage and stock, Monitor compliance issues and track instances of compliance failures, Identify which departments are viable for cost cutting and which are untouchable. Sisense also includes in-memory database tools and SQL server integration, so that no matter where your data is, you can analyze it. For added flexibility, this platform can be deployed both on-premise and on the cloud.