4 slide overview of Microsoft BI & analytics architecture and how it would work with your current environment. See the PointDrive for more information - https://ptdrv.linkedin.com/5fj1ey0
Power BI has become a product with a ton of exciting features. This presentation will give an overview of some of them, including Power BI Desktop, Power BI service, what’s new, integration with other services, Power BI premium, and administration.
This document provides an overview of Power BI, including:
- A history of Power BI and its tools over time from 2009 to present day.
- An overview of the different Power BI tools for preparing, building, exploring and reporting on data.
- How Power BI fits into the broader business intelligence ecosystem for preparing, modeling, visualizing and sharing data and reports.
- The capabilities Power BI provides for analysts, IT professionals and business users.
The document compares the leading data visualization tools Tableau, Power BI, and Qlik. It reviews the strengths, weaknesses, and unique features of each tool. Tableau is seen as the gold standard but is very expensive. Power BI is easy to use and affordable but best for Excel users. Qlik Sense has powerful scripting but a confusing licensing model. The document recommends tools based on cost, capabilities, and intended users.
Power BI is a self-service business intelligence tool that allows users to analyze data and create reports and visualizations. It includes components for data discovery, analysis, and visualization both on-premises using Excel and in the cloud using the Power BI service. The tool integrates with Office 365 and allows users to discover, visualize, and share insights from data.
Working with Microsoft Power Business Inteligence Tools - Presented by AtidanDavid J Rosenthal
Power BI provides self-service business intelligence (BI) tools for data analysis and visualization. It includes Power Query for data discovery and transformation, Power Pivot for data modeling, Power View for interactive data visualization, and Power Map for geographical data visualization. These tools can be used with Excel, SharePoint, and mobile devices to enable users to analyze, visualize, and share insights from data. Power BI also offers collaboration features through an online dashboard and app.
This document discusses techniques for optimizing Power BI performance. It recommends tracing queries using DAX Studio to identify slow queries and refresh times. Tracing tools like SQL Profiler and log files can provide insights into issues occurring in the data sources, Power BI layer, and across the network. Focusing on optimization by addressing wait times through a scientific process can help resolve long-term performance problems.
Power BI for Office 365: Using SharePoint to Deliver Self-ServicePerficient, Inc.
The document discusses Microsoft's Power BI tools for self-service business intelligence (BI) and analytics. It describes the key components of Power BI, including Excel-based tools for self-service BI (Power Query, Power Pivot, Power View, Power Map) and Power BI capabilities available with Office 365, such as Power BI sites for collaboration and data management features. The document provides an overview of the Power BI tools and capabilities as well as examples of how they can be used to connect to data, build reports and dashboards, and share and consume BI content.
This document discusses the differences between Adxstudio v7 and Dynamics 365 Portals. It outlines new features in Dynamics 365 Portals like improved multilingual support, portal comments, feedback, and knowledge management. It also describes changes to access control rules, web templates, and deactivated pages. Finally, it provides an overview of prerequisites and two approaches for migrating from Adxstudio to Dynamics 365 Portals.
Leveraging Microsoft Power BI To Support Enterprise Business IntelligenceRightpoint
Take control over your data. View our presentation of end-to-end enterprise business intelligence leveraging Microsoft solutions including SQL Server, Power Pivot, and Power BI.
Demonstration includes:
• How to build a Tabular model by importing a Power Pivot workbook
• Connecting a Tabular model to Power BI
• Developing Power BI dashboards/reports connected to an on-premise Tabular model
• Refreshing Power BI dashboards/reports
Power BI provides advanced data technology for transforming, storing, and presenting data. This technology can support advanced Excel users and data scientists. This presentation provides basics for Excel 2010 and 2013 users and information about O365 and SharePoint Online supporting shared use cases.
Best practices to deliver data analytics to the business with power biSatya Shyam K Jayanty
Get your data to life with Power BI visualization and insights!
With the changing landscape of Power BI features it is essential to get hold of configuration and deployment practices within your data platform that will ensure you are on-par with compliance & security practices. In this session we will overview from the basics leading into advanced tricks on this landscape:
How to deploy Power BI?
How to implement configuration parameters and package BI features as a part of Office 365 roll out in your organisation?
What are newest features and enhancements on this Power BI landscape?
How to manage on-premise vs on-cloud connectivity?
How can you help and support the Power BI community as well?
Having said that within the objectives of this session, cloud computing is another aspect of this technology made is possible to get data within few clicks and ticks to the end-user. Let us review how to manage & connect on-premise data to cloud capabilities that can offer full advantage of data catalogue capabilities by keeping data secure as per Information Governance standards. Not just with nuts and bolts, performance is another aspect that every Admin is keeping up, let us look into few settings on how to maximize performance to optimize access to data as required. Gain understanding and insight into number of tools that are available for your Business Intelligence needs. There will be a showcase of events to demonstrate where to begin and how to proceed in BI world.
- D BI A Consulting
consulting@dbia.uk
Introduction to Power BI a Business Intelligence Tool by Apurva RamtekeApurva Ramteke
Power BI is a tool which provides users with very intelligent statistical analysis of raw data and to derive beautiful reports out of it using hundreds of power Visualization. Not just it Power BI provides a build in advantage of Power Views and Power Queries derived from Excel as a base with a very easy process learning. I personally call it very Intelligently dumb tool, because its so easy for normal user to use it and make highly interactive reporting and Dashboards. The Dashboard which are created can be shared with multiple users with specific permission levels to access the reports.
SqlSaturday#699 Power BI - Create a dashboard from zero to heroVishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips.
Learn how to create Power BI Dashboard from scratch.
This document outlines a 4 step process for conducting an audit using Microsoft Power BI:
1) Collect data files and artifacts in a shared folder
2) Use Power Query to transform, normalize, and load data into a worksheet
3) Build analytical models and reports using Power Pivot and Power Query
4) Create dashboards and visualizations using Power View and publish to Power BI for monitoring
This slide deck explains in a comprehensive way what Power BI is, how the Power BI architecture looks like and what the usage scenarios are for using Power BI and related tools
Afternoons with Azure - Power BI and Azure Analysis ServicesCCG
See how Microsoft Power BI and Azure Analysis Services are influencing the BI and analytics market. Journey through data structures and fundamentals for setting up your next dashboard initiative.
Interested in learning more? Click ccganalytics.com/resources for more or call (813) 265-3239.
Microsoft Azure Enterprise content pack for Power BI allows users to access and analyze their Azure Enterprise data in Power BI. It provides automatically refreshed data daily. Key concepts include datasets which contain imported or connected data, reports which visualize the data through charts and graphs, and dashboards which display tiles linked to reports. The content pack explores and monitors Azure Enterprise data in Power BI. Power BI Desktop is required to connect to data sources, shape the data, and create reports and dashboards.
This document provides an overview and instructions for attending a "Dashboard in a Day" workshop on Microsoft Power BI. It includes prerequisites for the workshop, such as having a computer that meets minimum system requirements and having a Power BI account. The agenda outlines the topics to be covered, including introductions, building reports and dashboards in Power BI Desktop and the Power BI service, and opportunities for questions. Resources are provided on connecting to the workshop wireless network and engaging with the broader Power BI community.
BI in the Cloud - Microsoft Power BI Overview and DemoChristopher Foot
RDX Insights Series Presentation focusing on Microsoft Power BI in the cloud. We begin with a high-level overview of the Microsoft BI product suite and discuss the SSIS/SSAS/SSRS tech stack and Power BI. The webinar continues with a deep dive into Power BI and includes instructions on how to use the product to capture, model, analyze and visualize business data. We end the webinar with a Power BI demo highlighting some of its most beneficial and interesting features.
Operational dashboarding and reporting with Microsoft Business IntelligenceJohn White
A great looking, relevant, informative dashboard for the executive is the ultimate end goal for most Business Intelligence projects. Microsoft has all of the tools that are necessary to get data from your transactional systems into an effective dashboard. What is less clear is to how to go about achieving it. Which tools should you use? As with most things, we have different tools for different requirements, and it isn't always clear as to how they match up.
This session will focus on what the various reporting and dashboarding tools from Microsoft can do for you, where you should use them, and how to get them working for you. Both on premises and cloud based scenarios will be discussed. At the conclusion of this session, you should have a fundamental understanding of the Microsoft products in this space fit together, including Excel, Reporting Services, SharePoint, Power View, and PerformancePoint.
The document outlines a training agenda for SAP BI-BO (Business Intelligence - Business Objects) over 14 units totaling approximately 34 hours. The training will cover SAP NetWeaver and BI fundamentals, data modeling, data acquisition from SAP and non-SAP systems, BI content management, query design, administration, process chains, performance optimization, and Business Objects products like Web Intelligence, Dashboards, Crystal Reports, and Universe Designer.
Cortana Analytics Workshop: Developing for Power BIMSAdvAnalytics
Faisal Mohamood. Power BI is leading a market change to SaaS BI. Come learn how Power BI's APIs and Developers will transform how Enterprises and ISVs will go to market in the coming year. You'll get to see great demos showing what's possible, and you'll get a sneak peak of all of our upcoming capabilities. Go to https://channel9.msdn.com/ to find the recording of this session.
In this presentation we cover the main features of BI Dashboard with SQL Server 2008 R2.
Regards,
Eduardo Castro Martinez
Microsoft SQL Server MVP
http://ecastrom.blogspot.com
This document provides an overview of Azure Data Lake Analytics (ADLA) and its capabilities. It describes the key components of ADLA including U-SQL for querying data, job execution, custom extractors and operators, external data sources, and job diagnostics. The document also includes examples of creating credentials and data sources for querying external databases, implementing a custom extractor, and job execution details.
Groupby -Power bi dashboard in hour by vishal pawar-Presentation Vishal Pawar
Power BI Dashboard in an hour with Various Slides.
Target Audience:
Useful for Develops and DBA those who want to know what is Power BI and How we can utilize various features.
Also session will be useful for anyone who wants learn Power BI from basic.
Abstract:
In this session, We will walk through various features of Power BI, How Power BI can transform your company’s data into rich visuals and Easy yet powerful Analytics solutions for your whole organization.
At end of session with following Power BI Dashboard example
sp_Blitz in Dashboard
SQL Server Info Dashboard
Twitter Dashboard
World Dashboard
Most important takeaways from session –
You will be learning basics of Power BI with the additional perk of analyzing sp_Blitz in Power BI.
Various features of Power BI making you from ZERO to HERO
After this session, you will be able to analyze data into Power BI
Microsoft Power BI is a business analytics tool that allows users to access, analyze, and visualize data from various sources. It offers self-service BI capabilities that enable end users to explore and gain insights from data. Power BI provides live dashboards, natural language querying, and content packs for popular SaaS solutions. It integrates with Microsoft products and allows sharing and collaboration on reports and dashboards. Signing up for a free Power BI account is quick and only requires a work or school email address.
Power BI Create lightning fast dashboard with power bi & Its Components Vishal Pawar
Every data has meaning, but we had limitation to use data through big long running process Extraction, Transformation and Representation, but now Power BI solves your problem to kick start having Data extraction in Power Query, Data Modelling and Transformation in Power Pivot and reach data representation using power view and power map on demand any nearby device on your fingertips, You will learn all latest and greatest features of Power BI.
The document outlines the course contents for an SAP BO course. It includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. The course aims to provide skills in areas like data modeling, report creation, administration and optimization of SAP BusinessObjects. It also covers integration of BO with SAP systems and certification guidance materials.
The document outlines the course contents for an SAP BO (Business Objects) course. It includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. The course aims to cover concepts, architecture, report creation, and administration for Business Objects/SAP BO.
The document outlines the course contents for an SAP BO training which includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. It also provides contact details for the training provider.
Starting in May 2010, with SQL Server 2008 R2, Microsoft began talking more and more about "Personal BI". The focus of this discussion was a paradigm shift moving business intelligence from being something a few BI professionals do with a data warehouse to a practice done by Information Workers every day in familiar tools like Microsoft Excel and SharePoint. Over the course of this session we will show you the improvements that Microsoft has made in the 2013 stack to take this new focus from being a “nice idea” to a truly powerful reality. We will explore the improvements made to Excel, PowerPivot & Power View, & Reporting Services. We will explain the underlying technology that makes the new features possible and walk through demos of some of the shinier toys. At the end of the session you will walk away with a better understanding of what is new in 2013 for business intelligence and an extreme desire to build reusable data model that will undoubtedly bring real value to your business.
The document discusses the business intelligence capabilities in SharePoint Server 2010. It includes Excel Services to share and analyze Excel workbooks, PerformancePoint Services for KPIs and scorecards, and Visio Services to share Visio diagrams. These services provide self-service and organizational BI through features like interactive PivotTables, decomposition trees, and visual scorecards integrated into SharePoint. They enable analysis of data from multiple sources through browser-based interactions.
Explain about power BI Overview from Power BI Desktop, Power BI Service, Power BI Report Server and Power BI Mobile that consume all BI Data from Dataset and datamodel
Your company is not-yet- ready for the cloud ?
How to refresh your BI solution by providing the beauty of Power BI reports on premises and the ability from the same place to consume your legacy reports or to share efficiently your data model through a unique place. Demo based session with an architecture introduction and a "from the field" real project feedback.
This document provides an overview of the course contents for an SAP BO training. The course covers topics such as data warehousing concepts, dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. It includes hands-on experience with tools such as BO XIR3, BO 4.0, WebI 3.x, WebI 4.0, Crystal Reports, Xcelsius, Live Office, and Polestar.
This document outlines the course contents for an SAP BO training which includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. The course covers concepts, architectures, and hands-on experience with BO tools for data analysis, reporting, and visualization.
This document provides an overview of the course contents for an SAP BO training. The course covers topics such as data warehousing concepts, dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. It includes hands-on experience with tools such as BO XIR3, BO 4.0, WebI 3.x, WebI 4.0, Crystal Reports, Xcelsius, Live Office, and Polestar.
This document outlines the course contents for an SAP BO training which includes topics like dimensional modeling, universe design, Web Intelligence, Crystal Reports, Dashboards, administration, integration with SAP, and performance tuning. The course covers concepts, architectures, and hands-on experience with BO tools for data analysis, reporting, and visualization.
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This document provides an overview of the Microsoft Power BI platform for data analytics. It describes how Power BI can bring together data from various sources like SQL Server, Excel, and SaaS applications. It then discusses how Power BI allows users to prepare, explore, and share reports and dashboards. The document also outlines some of the key capabilities of Power BI like live dashboards, custom visualizations, and content packs for reporting.
This checklist explores some fundamental aspects of the data architecture necessary for IoT success. It will examine what is required to enable an environment that can rapidly adapt to the dynamic nature of massive numbers of connected sensors and other end-point devices, communication and data streaming, ingestion and analysis, and deployment of developed analytics models for automated decision making.
This document provides a checklist report on modernizing data warehouse infrastructure. It discusses six key points regarding modernization: 1) Diversifying the portfolio of data platforms to satisfy modern data requirements, 2) Modernizing with cloud and hybrid strategies, 3) Modernizing hardware for greater speed, scale and lower costs, 4) Coordinating modernization with business and analytics modernization, 5) Adjusting data management practices to fit modern warehousing, and 6) Leveraging multi-vendor partnerships for a unified, high-performance infrastructure. The report emphasizes that modern warehouses require multiple data platform types to meet diverse needs, and that infrastructure modernization is driven by business demands for advanced analytics and self-service data practices.
The document discusses Microsoft's data and AI solutions for powering an organization's entire data estate from on-premises to the cloud. It highlights that 80% of organizations now adopt cloud-first strategies and AI investment increased 300% in 2017. Microsoft offers a modern data estate with security, performance, and flexibility to analyze data across warehouses, lakes, and databases on hybrid environments spanning on-premises, private cloud and public cloud. Key products highlighted include SQL Server, Azure data services, Power BI and various cloud services.
The document is a Forrester Consulting study on the total economic impact of Microsoft Power BI. It includes:
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2) A financial analysis of a composite organization that found a 625% return on investment, $2.4 million in annual benefits per 3,000 users, and a three-year net present value of $18.5 million from costs of $3 million and benefits of $21.4 million.
3) Costs included Power BI licensing, data preparation, and user training while benefits included increased productivity,
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Webinar given on 9 July 2024
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Microsoft business intelligence and analytics
1. Relational Non-relational NoSQL
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Streaming
10101
01010
00100
SaaS Services Public Machine LearningETL
DATA
BUSINESS ANALYST TOOLS
Excel
Power BI Designer
IT PRO AND DEVELOPMENT TOOLS
SQL Server Analysis Services
SQL Server Reporting Services
SQL Server Data Tools
DELIVERY AND CONSUMPTION
Power BI ReportsDashboards Mobile APIsExcel
2. Azure Service Bus
Live Power BI dashboards and
reports
Cloud
On-premises
Power BI data movement
service
SQL Server Analysis Services
Live Query
3. Data Sources Power BI service
SaaS solutions
e.g. Marketo, Salesforce, GitHub
On-premises data
e.g. SQL Server Analysis Services
Organizational content
Corporate data sources or external
data services
Azure services
Azure SQL, Stream Analytics…
Excel files
Workbook data/models
Power BI Designer files
Data from files, databases, Azure,
and other sources
146.03K145.84K145.96K146.06K 40.08K38.84K39.99K40.33K
146.03K145.84K145.96K146.06K
Power BI REST APIsPower BI Desktop
Prepare Explore ShareReport
Data refresh
Visualizations
Live dashboards
Content packs
Reports
Datasets01001
10101
4. *Gartner “Magic Quadrant for Business Intelligence and Analytics Platforms,” by Rita L. Sallam, Cindi Howson, Carlie
J. Idoine, Thomas W. Oestreich, James Laurence Richardson, and Joao Tapadinhas February 16, 2017
This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the
context of the entire document. The Gartner document is available upon request from Microsoft. Gartner does not
endorse any vendor, product or service depicted in its research publications, and does not advise technology users to
select only those vendors with the highest ratings or other designation. Gartner research publications consist of the
opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all
warranties, expressed or implied, with respect to this research, including any warranties of merchantability or fitness for
a particular purpose.
Microsoft is placed furthest
for Completeness of Vision
within the Leaders Quadrant
{ }
Editor's Notes
Power BI lets you establish live connectivity with on-premises SQL Server Analysis Services tabular models
Simply configure the connector to work with your existing SSAS solution
With this connector, there is no need to move any data to the cloud – your data stays in SSAS on-premises, even while it is viewed in Power BI
The connection is live – meaning that when users view and explore dashboards, Power BI interactively queries the on-premises cube to fetch the data right then
This enables efficient data exploration thanks to optimized query performance
You can create reports with SSAS data on powerbi.com, even while data remains on-premises
Your existing, role-based SSAS permissions still apply – user access to SSAS data via Power BI is controlled the same way
The connection to SSAS is secured via Azure Service Bus SSL encryption
Let’s walk through an overview of how Power BI works.
First, Power BI connects to a variety of data sources. These range across both cloud and on-premises sources, and include:
A variety of popular SaaS solutions, such as Marketo, Salesforce, GitHub, Dyanmics CRM, Zendesk, and several others
On-premises databases – Power BI offers live connectivity to SQL Server Analysis Services, which we’ll cover in more detail later. And using a gateway solution, Power BI can connect to over 20 other database solutions, such as Oracle and IBM databases.
Custom data sources – Power BI can connect to any data source you need it to thanks to its extensibility via REST APIs. This includes both proprietary corporate data sources, as well as external data services. For example, if you are a SaaS solution provider, you can work with Microsoft to connect your solution to Power BI.
Other Azure services – Power BI integrates tightly with SQL Azure and Stream Analytics, and will be integrating closely with more Azure services over time
PowerBI Designer and Excel files – Excel workbooks can be directly connected to Power BI.com, or may be used with Power BI Designer. Power BI Designer is a companion application to the Power BI service – it is a desktop tool that supports data analysis and reporting. Like Excel files, Power BI Designer files may be uploaded to the Power BI service.
2. Power BI Designer is a visual data exploration tool that enables you to analyze data and create stunning reports. With Designer, you are able to:
Connect to a broad range of data sources
Prepare data for analysis using query functionality, similar to Power Query for Excel
Model and Analyze data
Develop reports showcasing relevant data from a variety of sources in a visually compelling format
Publish reports directly to powerbi.com so they can be used and shared
3. The Power BI service, sometimes referred to as powerbi.com, is what allows you to:
Create beautiful visualizations to tell compelling data stories
Build rich, live dashboards that turn BI into business insights
Create reports & datasets from which you can create visualizations and dashboards
Enjoy the benefits of up-to-date data with real-time, automatic and scheduled refreshes
Share dashboards easily with other people in your organization
Ask questions of data in plain English with Natural Language Query
Stay connected to your data all the time with mobile applications
4. Finally, the Power BI REST API library allows you to customize nearly every aspect of Power BI, including connecting to custom data sources, enabling real-time data streaming from your data source to Power BI, and integrating other applications with Power BI
You’re looking at Gartner’s Magic Quadrant for BI and Analytics Platforms, published in February 2017. Microsoft is named as a Leader.
You’ll notice that Microsoft is a Market Leader and the furthest of any vendor to the right of the quadrant – Gartner considered Microsoft the most visionary of all BI vendors.
Oracle is not in the Leader’s quadrant; they are a “Niche Player”. It should be noted that Oracle was not even featured in Gartner’s 2016 Magic Quadrant and whilst their product has improved since then, it still lags the leaders.
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