Power Business Intelligence (BI)
Power Business Intelligence (BI) is a business knowledge stage that furnishes nontechnical business clients with apparatuses for totaling, dissecting, envisioning, and sharing information. BI experts normally characterize information smart organizations as those that profit by the utilization of authentic data to help dynamic. We even portray certain associations as having an information culture. The Power BI is the place where investigators and different clients can make information associations, information models, and reports.
Application Lifecycle Management (ALM) for BI
Application Lifecycle Management is the supervision of a software application from its initial planning through retirement. ALM permits designers to look at information models, combine changes by various engineers, create reports itemizing changes, and specifically push changes to creation. A fundamental benefit of an ALM solution is that it helps different roles in the SDLC use the tools of their choice. In today’s technology-enabled world, that is important.
Depending on your software development methodology (i.e. waterfall, agile, or DevOps), application life cycle management might be split into distinct phases or fully integrated into a continuous delivery process. Regardless, ALM can be broken down into three elements: governance, development, and operations.
In this article, I’ll explain life cycle Management for Power BI reports, dashboards, and data sources are in detail.
The 3 main concepts of Power Bi are:
Power BI DashBoards:
The term dashboard originates from the automobile dashboard where drivers monitor the major functions at a glance via the instrument cluster. It provides all the critical information needed to operate the vehicle at a glance.In the same way, if we talk about BI Dashboard then we refer a single-screen display where all the required visuals and performance graphs are available so that management can get the key information related to the business performance and take the decisions
A Dashboard is an information management tool that often provides at-a-glance views of key performance indicators (KPI), metrics, and key data points to monitor the health of a business, department, or specific process. They are customizable to meet the specific requirement of a function, department, and company.
- can display visualizations from many different datasets
- can display visualizations from many different reports
- can display visualizations pinned from other tools (for example, Excel)
On the other, the “dashboard” has another name for “progress report” or “report”.
Power BI Reports:
A Power BI report is one or more pages of visualizations, graphics, and text. All of the visualizations in a report come from a single dataset. Designers share reports with consumers who interact with the reports in Reading view. You create Power BI reports with the version of Power BI Desktop optimized for the report server. Then you publish them and view them in the web portal in your own environment.
The reports are designed to show the metric and then there is some if/then logic that goes to different visuals based on the current performance so the drivers can be highlighted. A report development effort usually falls under three categories. A new report developed in response to business needs, modification to existing reports in response to a change request/performance optimization/rarely for fixing a bug, or if the organization is transitioning from existing reporting platform to a different one.
- Can be associated with multiple dashboards (tiles pinned from that one report can appear on multiple dashboards).
- Can be created using data from only one dataset.
- Can be part of multiple apps.
Power BI Data Source:
A dataset contains information about the data source and data-source credentials. In many cases, it also includes a subset of data copied from the data source. When you create visualizations in reports and dashboards, you’re often looking at data in the dataset. When you use Get Data in Power BI, create a dataset automatically. With Get Data, you connect to and import data from a content pack, file, or connect to a live data source.
Data are separated in three categories…
- Files (which formats are Excel and Power BI)
- Services which are prepackaged models of data for popular services (like Google Analytics or GitHub)
- Big Data and More (for Azure DBs and SQL Server Analysis on-premises)
After you select Get Data, you can choose the data you want to access
- The sources: basically there are three types of sources in Power BI, files, databases, and services.
- The service: in itself where you can define three types of objects: datasets, reports, and dashboards
- The destinations: Dashboards and reports can be consumed in three ways
Lifecycle Management (ALM) for Power BI Building Blocks i.e Dashboard, Reports, and Data Source