Business Intelligence Tools Microsoft – After my previous article about the Strata Data Science Conference, I started thinking about the future developments in data science and business intelligence, that is, how these two simple terms will change the way we work, think and live.
To be honest, “data science” seems a bit far-fetched to me; however, the concept of “business intelligence” can roughly sum up my work, at least according to this definition from Forrester Research:
Business Intelligence Tools Microsoft
“A set of methodologies, processes, architectures and technologies that transform raw data into meaningful and actionable information that is used to enable more effective strategic, tactical and operational decision-making.”
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I work for a Microsoft partner; we use Microsoft Dynamics 365 to help clients on their digital transformation journeys. Recently, Microsoft Dynamics 365 has expanded significantly: the core applications for sales, customer service, marketing, etc. they can be seamlessly integrated with Microsoft Power Platform (consisting of Power BI, Power Apps and Microsoft Flow) to automate business processes, manage more data. efficiently and improve the customer experience.
I first heard about Power BI a few years ago when I was writing my thesis on data visualization. As part of my research, I looked at some Power BI reports. After that I had the opportunity to work on Power BI projects in the local government, higher education and charity sectors. It’s fascinating to see how much useful information can be extracted and displayed in a simple and readable way using Power BI.
Power BI is a relatively young product that joined the Microsoft family as a data visualization and analysis tool in 2015. Although it briefly announced its “Ask Questions, Get Answers” functionality, which was equipped with Data Processing natural language, Power’s main selling point. BI was its data visualization, analysis and connection capabilities, for example, in Dynamics CRM, Salesforce, Excel, Oracle, etc.
Microsoft didn’t talk about business intelligence until May 2017, when this tagline, “Business Intelligence Like Never Before,” took over for the first time… The core purpose of leveraging intelligence tools Business intelligence is about understanding trends and deriving actionable insights from your data, enabling you to make more strategic and tactical business decisions. Popular features offered by business intelligence tools are visual analysis, data visualization, KPI dashboards, and interactive dashboard to name a few. They also allow users to take advantage of predictive analytics and automated self-service reporting features.
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Microsoft offers several Business Intelligence tools to meet your needs. In this article, you will learn about the 4 key Microsoft Business Intelligence tools: Power BI, Power BI Embedded, Azure Analysis Services and Azure Synapse Services in great detail.
In simple terms, business intelligence tools are application software, involved in the collection and processing of unstructured data from external and internal systems. The results obtained from Business Intelligence tools help to increase operational efficiency, identify market trends, focus on new revenue potentials and identify new business opportunities.
Business intelligence tools such as Power BI are generally used for business data reporting and simple querying of results, but can also combine various data analysis applications such as OLAP (Online Analytical Processing), cloud and Software as a Service Business Intelligence, Real Time Business Intelligence and Location Intelligence to name a few.
Microsoft BI is a technology-driven business intelligence tool developed by Microsoft that helps analyze and visualize raw data to produce actionable insights. It integrates business analytics, data visualization and best practices to help organizations make data-driven decisions. It provides an easy-to-use interface for end users to create their own reports and dashboards. You can leverage it to pull data from multiple cloud and on-premise systems and create dashboards that track the metrics most important to you and your business. Apple, Exxon Mobil, Walmart and Toyota Motor North America are some of the prominent names leveraging Microsoft Power BI for Business Intelligence.
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Microsoft Business Intelligence Suite is a set of tools designed to facilitate data processing. The full range of tools help businesses route data across IT systems, create comprehensive reports on the current state of multiple departments, and identify and isolate data. It includes SSRS (SQL Server Reporting Services), SSIL (SQL Server Integration Services) and SSAS (SQL Server Analytical Services). The Microsoft Business Intelligence platform works by moving data from multiple disparate data sources into a centralized architecture where rudimentary data can be reconfigured. Here are some of the benefits of Microsoft Business Intelligence tools:
A fully managed no-code data pipeline platform like Hevo helps you integrate data from 100+ data sources (including 40+ free data sources) into Power BI in real-time and effortlessly. Hevo with its minimal learning curve can be set up in minutes, allowing users to load data without having to compromise performance. Its strong integration with nth sources gives users the flexibility to enter data of different types, fluidly without having to code a single line.
Power BI is not the name of a single application, but the umbrella term for a collection of applications. The types of Microsoft BI tools are explained in detail.
Power BI Desktop: This is the most basic application. As the name suggests, it can be installed in standalone mode on a desktop. It is offered for free and can be connected to various data sources. It allows users to analyze data and gain insights from it. It can connect to local and cloud-based data sources. Power BI Desktop is not available via the web and is a standalone, standalone analysis tool. Beyond the ad-hoc analysis tool use case, it also acts as a development environment for creating reports and dashboards that can be deployed later.
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The Power BI Report Server is a web application that can be deployed on-premises to allow users in an organization to view reports and dashboards. Reports and dashboards designed using Power BI Desktop can be deployed to the report server. It supports a level of interactivity for reports and dashboards.
The Power BI service is the cloud-based business intelligence tool that is available as a subscription from Microsoft. It allows users to take advantage of Power BI Analytics features without having to spend time with deployment or maintenance. It can connect the most common local and cloud-based data sources. On the back end, it works based on Microsoft Azure computing clusters. This allows you to handle large volumes of data and streaming data. It is offered under different subscription plans such as premium and pro depending on the feature sets.
Power BI Mobile is Microsoft’s attempt to bring Power BI to mobile devices. On the back end, it also makes use of the Power BI service. All the actual data processing happens on the cloud servers and the mobile app serves as an interface to display interactive dashboards and reports.
Power BI Embedded helps users enable Power BI features in their custom web applications. It allows developers to control the user experience while giving their customers access to the power of analytics in a familiar environment.
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Microsoft’s Business Intelligence tools provide a convenient solution for managing the vast amount of crucial Business Intelligence information of modern enterprises. In this section, you will get an overview of the 4 key Business Intelligence tools that are part of the Microsoft Business Intelligence Suite.
Microsoft Power BI is the core Microsoft Business Intelligence tool that is a combination of SaaS, cloud-based and desktop tools. The central focus of Power BI is data mining, exploration and reporting. Power BI is primarily used to accomplish reporting tasks using APIs (Application Programming Interfaces). The elegance of Power BI comes from its almost limitless ability to pull data from diverse sources. It can extract information from traditional databases just as easily as it can extract data from newer SaaS architectures, such as GitHub and Zendesk.
Power BI is built on the back end of Azure, Microsoft’s Cloud Computing platform and infrastructure. The Power BI service architecture is based on two clusters: the Back End cluster and the Web Front End (WFE) cluster. The WFE cluster focuses on the initial authentication and connection to the Power BI service, while the Back End cluster handles all subsequent user interactions.
Power BI stores and manages user identities using Azure Active Directory (AAD). Data storage is managed by Azure BLOB and metadata storage is managed by leveraging Azure SQL Database.
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Power BI Embedded is a Platform as a Service (PaaS) offering that allows developers to embed dashboards and reports into an application for their customers. Power BI Embedded lets you create world-class analytics without having to develop them yourself. With Power BI Embedded, you can reduce developer resources by automating analytics management, monitoring, and deployment.
Embedding is done through an hourly, capacity-based model. Combined with a REST API, Power BI Embedded allows you to develop elegant applications in any language. Here are some of the features of Power BI Embedded:
Power BI Embedded takes user security very seriously. This is evident from the following Power BI Embedded features that ensure a secure and robust front when it comes to data security:
The total cost of Power BI Embedded depends on the number of nodes deployed and the node type
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