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key features of business intelligence functionality

From a centralized portal, companies can handle everything from ETL and data cleansing to predictive dashboards and a variety of reports – Crystal Reports, OLAP, ad hoc and more. In this article, we’re breaking it all down for you. Scrum, Inc., a corporate training company, was facing challenges managing its siloed data; management was finding it difficult to track operations, marketing, and finance metrics in one place using the existing analytics systems. Data querying & discovery. Xactly, a technology vendor, reduced manual efforts and saved time by implementing Domo for data modeling and analysis. PLUS... Access to our online selection platform for free. Let us discuss some of the key features. BGF Industries, a textile manufacturing firm, uses trend indicators to monitor their products and prevent potential errors. ETL was considered “nice to have” by six percent of respondents with interest in the feature, and buyers said the same of OLAP in 12 percent of responses. The most common features are listed at the bottom, and the more niche ones are listed at the top. This enables management to decide whether a greater investment in marketing may be required, by predicting whether they are on target to fill the classes. Business intelligence is key to monitor business trends, detect significant events and get the full picture of what is happening inside your organization thanks to data. Here’s an overview of how some of the more advanced BI features work: Unlike the more common features, which all members across teams can use on a daily basis, niche features are generally used only by select teams or individuals. Their existing systems took about 30 minutes to get the data. Here are examples of a few advanced analytics features and how small and midsize organizations benefited from them: Predictive analytics. Open architecture A widely ignored feature, architecture remains one of the most critical aspects of Business Intelligence. Dundas BI is a very robust BI tool from Dundas Data Visualization. These features are not as widely used as the common features, but we can’t classify them as niche features either, as many firms embrace these functions, though they may seek separate tools for them. These BI tools provide the most common features, including: data analysis, data visualization, ad hoc analysis, dashboards, ad hoc query tools, ad hoc reports, KPIs, and performance metrics. Fiverr, an eCommerce marketplace was having difficulty managing scattered data from multiple sources. Top 20 Most Popular BI products, as listed on Capterra. Various trademarks held by their respective owners. Buyers who firmly decided on a deployment method named the cloud as the favorable deployment choice, with 23 percent saying they would like a cloud-deployable system, compared to 8 percent demonstrating a want for on-premise deployment. Modern Business Intelligence platforms offer lots of interesting features inside, all of which are aimed at providing users with the tools they need to produce actionable insights. Key capabilities of Business Intelligence Software. In addition, open integration, metadata layer, user-specific security, etc. Domo’s data analysis features helped Xactly save 20 to 30 hours a quarter, allowing the organization to concentrate on more high-value tasks. Geospatial Mapping. High Level Features – These are the broad holistic features that are present in BI tools. Learn how key features of SAP BusinessObjects Business Intelligence suite can give business users anytime, anywhere insights to improve decision-making. Looking for Business Intelligence software? Executive Dashboards. Using the OLAP cube, the agency developed a flexible performance report for clients and saved $200k in accounting software expenses. Ad hoc analysis. 10 Critically Important Business Intelligence Software Features. We’re also looking at a few real-world examples to demonstrate how these different BI features could help your business. Should you want to learn more about this product be sure to try the ActiveBatch free trial. Key Features of Business Intelligence Software. One of the key features of business intelligence functionality is the ability to turn data into knowledge and profit. Staff for analytic success. Get insight to the performance of your business activities through budgets, account schedules, and analysis views. A government collections agency in the U.S. used Microsoft SQL Server’s OLAP technology to improve its performance reporting. Read on for insight into the most important features of business intelligence applications that organizations want, based on our research gathered from surveys with real business intelligence software buyers. Efficient business intelligence requires the right tools. Of the buyers who named predictive analytics as a key feature, 16 percent considered predictive analytics as something that would be “nice to have in the future,” as opposed to a feature that would be needed upon deployment. The platform’s data analysis and dashboard capabilities helped the organization unify data sources, improve analysis, and receive alerts about errors. Overall, as users’ dat a sources become more extensive, their preferences for BI are changing. Business Intelligence. The reporting and dashboard capabilities of BI solutions are far more interactive than those of MS Excel. 10, 2017 by Big Brothers Big Sisters of America, a nonprofit organization, was using a combination of manual methods and patched-up old systems to analyze funding data. 3. Trend indicators. Data warehousing. Your email address will not be published. Screenshot of Domo’s BI dashboard feature. Fiverr adopted Sisense, which helped the company create interactive dashboards that automatically refreshed to provide real-time data on changing market conditions, as opposed to static dashboards. are also integral features of Business Intelligence Solutions. Viewed as a more advanced feature, predictive analytics is still one of the top needs of BI software buyers, with 42 percent of respondents expressing interest in predictive analytics. What do you see as the benefits of firms utilizing business intelligence and business analytics? predictive analysis, data mining, ETL, OLAP and drill-down functions.

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