It provides an easy-to-use interface for end-users to create their own Reports and Dashboards. It integrates Business Analytics, Data Visualization, and Best Practices to assist organizations in making data-driven decisions. Microsoft BI is a technology-driven Business Intelligence Tool developed by Microsoft that helps analyze and visualize raw data to produce actionable insights.
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The results obtained from Business Intelligence tools help increase operational efficiency, identify market trends, zero in on new revenue potentials, and identify new business opportunities.īusiness Intelligence tools like Power BI are generally used for business reporting of data and simple querying of results, but they can also combine various data analysis applications like OLAP (Online Analytical Processing), Cloud and software as a service Business Intelligence, real-time Business Intelligence, and location intelligence to name a few. In layman’s terms, Business Intelligence tools are application software, involved in collating and processing unstructured data from external and internal systems. Introduction to Business Intelligence Tools Image Source Understanding Microsoft Business Intelligence Tools.Understanding the Importance of Microsoft Business Intelligence (BI) Tools.
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Data literacy offered as a service goes way beyond education on how to use a product.Modern business intelligence tools provide open API’s and an extensible platform. Embedded analytics put actionable analytics and data into the hands of people right where they make decisions.Qlik even offers self-service intelligent alerting and advanced statistical trending and outlier evaluation that immediately notifies users of material changes in the data. The best BI tools seamlessly integrate with the data offerings mentioned above and enrich the human experience through AI rather than a black box approach. Augmented analytics provides better insights, faster.Modern data catalogs optimize existing data assets and then curate, enrich and transform that data into business-ready information which can be made accessible to business users via a simple catalog and marketplace. This simplifies and accelerates an organization's ability to manage, prepare and deliver analytics-ready data to every business user across a diverse data landscape. A data catalog provides actionable data, on-demand.By leveraging real-time data integration technologies such as change data capture and streaming data pipelines, the best BI tools change how data is shared and how it is made available across the enterprise. It’s about moving from raw to analytics-ready data in order to advance the speed and accuracy of analytics and improve productivity. Data Integration focuses on improving communication, integration and automation of data loads between business analytics consumers and the data teams.Finally, providing data literacy as a service helps all users trust and have the confidence to work with the data. Augmented analytics helps users understand the data and embedded analytics helps all users take action on it. Then, a business-ready data catalog helps all users find this data. This means taking a holistic approach, bringing together data integration, data analytics and data literacy.Īs shown above, business intelligence software should actually be a holistic system, starting with enterprise data integration to make all data universally accessible to all users. Modern business intelligence tools must close the gaps between data, insights and actions, to better inform decisions, drive actions, and propel business forward. Data analytics alone is no longer enough.