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Business Intelligence for Project Server/Online

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Presentation on theme: "Business Intelligence for Project Server/Online"— Presentation transcript:

1 Business Intelligence for Project Server/Online
Marc Schöni Technology Solution Professional BI Microsoft Switzerland

2 SHARE Why BI and reporting? Analyze past projects
Keep track of on-going projects Learn for the future Motivate people

3 From looking backwards to looking forward
Descriptive Diagnostic Predictive Prescriptive What should happen What will happen Why did it happen - Skills required + What happened - Business Impact +

4 PowerPivot Applications
Microsoft BI Platform SharePoint Scorecards Excel Workbooks PowerPivot Applications Search & Dashboards Analysis Services Reporting Integration Master Data Data Quality Services LOB Apps StreamInsight

5 Microsoft BI Tools for IT Professionals
Server & Tools Business 11/10/2018 Microsoft BI Tools for IT Professionals Performance management dashboards and scorecards with SharePoint. Dashboards Accurate and trustworthy data with Master Data Services. Master Data Pixel perfect operational and embedded reporting with Reporting Services. Reporting Data cleansing and matching with Data Quality Services. Data Quality Talk Track: Dashboards and Scorecards in SharePoint: Create corporate dashboards and balanced scorecards across the organization to allow the business to track key performance indicators and drill into root cause. The most widely used reporting tool with Reporting Services: Create high fidelity, pixel perfect operational reports for the organization or for embedding into corporate applications. Also benefit from the ease of consolidated management through SharePoint Central Administration. You can now enable reporting capabilities to all Information Workers by using a single administration point just like any other SharePoint feature. An industry leading OLAP engine with Analysis Services: Analysis Service is the industry’s leading OLAP engine and provides a single semantic model for all your content needs – supporting dashboards, analytical applications and ad-hoc reporting. Analysis Services also bridges the gap between end user created BI content in Excel and IT managed corporate solutions – IT professionals can now import PowerPivot workbooks directly into Analysis Services so that they can be professionally managed and transformed into corporate grade solutions by IT. Efficiently Manage Data with Master data services: Master Data Services (MDS) continues to make it easier to manage master data structures (object mapping, reference data, and dimensions and hierarchies) used in data integration operations. Also, a new Master Data Services Add-in for Excel allows users to get involved in master data management, making updates to the master data and submitting the changes back to the administrator of the MDS database. Clean corporate data with Data Quality Services: A completely new service to SQL Server 2012, Data Quality Services (DQS) helps round out end to end data management for organizations. DQS provides knowledge-driven tools customers can use to allow data stewards to create and maintain a Data Quality Knowledge Base which helps improve data quality and ease data management.  Specifically, customers can gain confidence in data quality by using organizational knowledge to profile, cleanse, and match data.  Data Quality Services can be run as a standalone tool or integrated with Integration Services (SSIS).  Customers can also access the Windows Azure Marketplace as a source of 3rd party data to help validate and cleanse data in a data quality project. Enterprise grade Data Integration with Integration Services: SQL Server Integration Services (SSIS) helps lower the barriers to getting started with data integration by enabling organizations of all sizes with capabilities that increase efficiency and improve productivity related to information management and ETL. (New features include usability enhancements, deployment and administration enhancements, new reports for troubleshooting package operations, comparing and merging packages, and easier access to samples and tutorials.) Single semantic model and scalable analytics engine with Analysis Services. Analysis Integrated deployment and management with Integration Services. Data Integration © 2012 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

6 From data to insights Other LOB Standard reports
Project Managers SharePoint Standard reports Data alerts & delivery SQL Server Reporting engine (SSRS) SAP Analytical engine & models (SSAS) Executives & Managers Integration Services (SSIS) Search Excel Portfolio Managers Project Online Ad hoc Self-service

7 Self-Service BI Path – Power BI
Data Sources Data Preparation Data Storage Data Analysis Data Access Extract Transform Load Filter Cleanse Schedule Portals Data Mining Reports - Tablix - Drill - Visualizations OLTP Database Data Mart ERP Database Graphs - Charts - Ad-hoc - Dynamic Project Server Data Warehouse OLAP In-Memory Analytics Dashboard - Mash-up - Collaborate - Search Self-Service BI Path – Power BI Power View PowerPivot Power Query Power Map Traditional BI Path DBMS SSIS DBMS SSAS SSRS

8 System Center Marketing
11/10/2018 Data historisation Data modelling & visualization Demo © 2013 Microsoft Corporation. All rights reserved. Microsoft, Windows, and other product names are or may be registered trademarks and/or trademarks in the U.S. and/or other countries. The information herein is for informational purposes only and represents the current view of Microsoft Corporation as of the date of this presentation. Because Microsoft must respond to changing market conditions, it should not be interpreted to be a commitment on the part of Microsoft, and Microsoft cannot guarantee the accuracy of any information provided after the date of this presentation. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.


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