Microsoft Business Intelligence P L A T F O R M O V E R V I E W M A R C H 1 8 TH, 2 0 0 9 C H U C K R U S S E L L S E N I O R P A R T N E R C O L L E C T I V E I N T E L L I G E N C E I N C. C R U S S E L L @ C O L L E C T I V E I N T E L L I G E N C E. C O M
Microsoft Business Intelligence Improving organizations by providing business insights to all employees leading to better, faster, more relevant decisions Drive pervasive business performance Implement a complete and integrated data delivery solution Deliver widespread intelligence through Microsoft Office Meet enterprise needs with affordable economics
Business Intelligence Stakeholders Development Tools Analytic Applications and End User Tools Content Producers BI Platform Content Consumers
All Types of Decision Making
Shared Personal Scope Organic Development Intentional Self-Service Easy discovery of data Simple, intuitive tools Ad-hoc Creative and agile Performance Management Consistent corporate definitions, KPIs Corporate policies and processes Contextual and accountable
BI Platform Architecture Analytic Applications Data Delivery Report Builder SSRS Scorecards, Analytics, Planning (PerformancePoint 2007) Portal (SharePoint) End-user Analysis (Excel) Infrastructure Platform Integrate (SQL Integration Services) Analyze (SQL Analysis Services) Data Warehouse, Data Marts, Operational Data (SQL Server 2008) Report (SQL Reporting Services) Office SQL
The Microsoft BI Data Delivery Components
SQL Server 2008 Next Generation DBMS Provides the foundation BI Services: 1. RDBMS 2. Analysis Services 3. Reporting Services 4. Integration Services 5. Support for Massive Data Warehouses 6. Etc.. Hey it s SQL Server.
SQL Server 2008 Analysis Services Unified Dimensional Model Enjoy the power of a combined metadata model the UDM bridging the flexibility of relational reporting with the performance of the classic OLAP Business Intelligence Wizards Enable even the most novice users to build BI models and projects addressing some of the more complex BI scenarios KPI Framework Experience the manageability of a rich centralized repository for definition and storage of KPI s that are easily made available for end-user consumption via e.g. BSM, Excel SharePoint Data Mining Create new a breed of predictive analysis applications through a rich set of data mining tools and predefined algorithms
SQL Server 2008 Integration Services Metadata Management Impact and Lineage Analysis from source systems to cubes Development Productivity Development Environment with visual debugging and version control Enterprise Data Integration Scalable data integration platform with parallel pipeline architecture Extensible Architecture Plug in custom components written in C# or call existing business logic using VB.NET
SQL Server 2008 Reporting Services Report authoring Visually design reports & layout via the Report Designer Report management Manage report categorization, data sources, security, subscriptions via the Report Manager End user report creation Enable end users to dynamically create their own Ad-hoc reports via the Report Builder Model design Design semantic models that map to real business entities via the Model Designer
BI Studio & SQL Server Management Studio Development Facility for: 1. Report Models 2. Reports 3. Dimensional Models and other Analysis Services structures 4. SSIS (ETL) Jobs
Business Abstraction Layers Unified Dimensional Model (UDM) - The role of a Unified Dimensional Model (UDM) is to provide a bridge between the user and the data sources. A UDM is constructed over one or more physical data sources, and then the end user issues queries against the UDM using one of a variety of client tools, such as Microsoft Excel. The UDM: Is used in for querying Analysis Services Is dimensional, meaning structures like dates are define hierarchically to support OLAP operations Hides Complexity. Report Model Create an abstraction of the underlying data sources; hiding the navigational aspects of data retrieval from the user. Report models have the following features: Database fields and views can be given logical business names, so knowledge of the database structure is not required to produce reports. Items can be grouped logically. Relationships between items can be define Model elements can be secured so that users can see only the data that they have permission to see.
Report Builder Ad Hoc Query and Reporting Tool that supports the creation of reports via the web. Report Builder uses the Report Model(s) that have been created and published in order to facilitate end-user Query and Analysis
Office Excel 2007 Conditional Formatting Spot trends and exceptions in your data to better inform your decisions Data Connection Library Quickly access the most common data sources in your enterprise for data analysis Publish to SharePoint Server 2007 Enhanced Sorting and Filtering Sort by cell color or filter data by quarter to work with only the data you need Pivot Table Against SQL Server Analysis Services Analyze data with new PivotTable tools and enhanced support for SQL Server Analysis Services
SharePoint 2007 Publish from Excel The Excel Services menu enables you to specify which items to display and how users can work with the worksheet. Then save directly to SharePoint Server 2007 Excel Services Create fully interactive web based data-bound worksheets, including charts, tables, and PivotTable views without any custom coding Secure Sharing Safeguard sensitive information by controlling access to worksheets. With Excel Services Webenabled access, you can limit what users can view, protecting the underlying data and models Dashboards Create rich, interactive dashboards that assemble and display business information from disparate sources, using built in web parts such as dynamic (KPI) and Office Excel 2007 spreadsheets
Performance Point Server 2007 Full Office experience Complete perspective across all functions Easy to personalize scorecards, analytics, plans Priced for broad deployment
Performance Point Features Performance Management Integrated with SharePoint & MS Office Integrates with SQL Server 2008 Collaborative Analytics - drill down/up with visualization KPI and Scorecards Iterative Monitoring of Performance Provides Infrastructure for Enterprise Planning & Budgeting
Scorecards Analytics Planning Scorecards Analytics Planning What Happened to All those Other Products? Mid CY07 November 06 2008-2010
Demo Environment Windows 2008 Enterprise Server (64bit) SQL Server Enterprise 2008 with SQL Server Analysis Services 2008 (64bit) SharePoint 2007 (64bit) MS Reporting Services installed at various places in the farm. Authentication performed using Active Directory with Kerberos for SSO support. Adventure Works DW 2008 Data warehouse in a box. I m coming in remote for speed we ll see how fast.
Demo Plan Personal BI Excel Spreadsheets! Ad Hoc Querying and other Neat Stuff Team BI Reporting, Report Distribution SharePoint Integration with Reporting Services Overview of Analysis Services and Evaluating Data with Excel Excel Services within SharePoint Enterprise BI Collaborative BI Portals Performance Point Contoso Slide Deck
Demo Script Go to CIDev Portal and Demo extracting a spreadsheet from Documents/Sales Reporting Quickly Open up Analysis Services Model in Visual Studio 2008 to show the model used in the spreadsheet. Show them the UDM within the cube that s created. Browse the Cube Demonstrate the various types of VS Projects: Reports, SSIS, and Analysis Services, Reporting Model Open up the Internet Sales Reporting Model Describe it Open up the Internet Sales Reporting Package Show the more complex report Demo full life cycle, round trip, build/deploy. Go Back to SharePoint and Demo the Large Report executing from within SharePoint. Show the reporting Dashboard Show the Collaboration within the Portal Show Report Manager Consuming Reports without SharePoint Scheduling Reports Etc. Go Back to SharePoint and in the File Viewer Open up Report Builder. Create a simple Report Save the Report Go execute the report in SharePoint Go to the Report Center Site Describe Layout Show Dashboard 1 Show Reporting Services Example Discuss Contoso
Contoso Contoso designs and markets bicycles, frames, components and accessories for mountain, road and touring cycling. Contoso follows a Balanced Scorecard Methodology to track its performance combining scorecards and analytics. Contoso also uses PerformancePoint for monitoring, analyzing and planning. The persona: Jennifer Adams, Contoso s CFO. Business challenge: margin issues across some product categories. Issues prior to solution Limited integration: had to jump from applications to applications to just get information. Misaligned information: when information was found there was no way to tie it back to corporate efforts and objectives. Slow and tedious: identifying issues quickly, performing root-cause analysis required costly IT and analyst time.
Contoso Demo Flow Monitoring Demo scenario Driving accountability Collaboration Q&A More than just numbers END Integration Delivery in Office Analytics Asking questions Planning Affecting the future
This CFO uses Microsoft Office SharePoint Server as a thin and personalized interface to her corporate information
One type of information that can be managed inside SharePoint is PerformancePoint scorecards.
This CFO can now consume very rich analytics And benefit from a full fledge scorecard (built here following the balanced scorecard methodology)
This CFO can now interact with very rich analytics
And drill into the data
As well as get quick information on KPIs by simply hovering over them.
In order to make better informed decisions, she needs to review related but unstructured information.
She opens the document library that is related to the scorecard in order to get a more complete view of her business.
She opens the strategy map that is related to this scorecard in order to understand how KPIs relate to each other.
Now, she wants to know if there is anything more she could review in order to complete her analysis.
The application suggests to review the finance scorecard
The finance scorecard focuses on finance metrics (revenue, cost, profit), across multiple quarters. The scorecard also display owners at the KPI level. She can now assign tasks to resolve issues based on the kpi ownership.
If she needs to, she can filter the scorecard.
When she does so, the scorecard and all related analysis views will be filtered accordingly, guaranteeing consistency of information.
She can also look at the annotations associated to the KPIs. Annotations allow her to gain more context and understand more than just the numbers.
She wants to drill thru the gross profit margin KPI because it currently shows some issues.
The following analytical view opens, presenting her with multiple applications to analyze the data. These applications will help her understand complex data much faster.
She first opens a performance map. This application provides a quick view of the data after 2 dimensions. Here the size of the box is determined by sales amt and the color of the box represents % Gross Margin.
She understands that North America is selling a lot [their boxes are bigger]. NA doesn t have margin issues compared to the other geographies [NA s colors are green] This CFO drills under Europe
She can see product categories split across geographies
Or geographies spilt across product categories
She can drill up and down
And decompose the data further moving from the performance map to the decomposition tree.
Decomposition tree is a great and flexible way to ask your data very intuitive questions
As a first step, she goes down the product hierarchy But then switches to a geographical view to understand who sells the most road bikes, which is the bigger revenue category in bikes.
She then drills across to time dimension to understand when certain geos sell road bikes
The data can be analyzed across any geo At this point, we are using all available hierarchies in the data (product category, geography and time).
We can of course go back to a much simpler view
When users perform this type of analysis, they assume that they picked the right metrics to analyze the data by. Switching their analysis to a different metrics is often challenging.
Switching their analysis to a different metrics is very easy using the decomposition tree
The analysis is now ran the gross profit margin, but the CFO didn t have to go through all the steps of the previous analytical path.
The CFO has now being able to resolve the margin issue. Holland is the country creating the problem in Europe: it was a top 3 in revenue, but the last performance from a margin standpoint The CFO can save and share this view with the rest of the organization.
The analysis can also be shared in PowerPoint in a static and dynamic mode.
Going back to the analytical view, the CFO notices that the revenue forecast is wrong
She collaborates with the owner of the forecast process in real time
Who suggests that she checks her email for a sales forecast update notification
The assignment opens in excel. Notice that the PerformancePoint functionality is available natively in excel. The user benefits from the flexible interface and the PerformancePoint functionality. Users get the right amount of information at the given point in time. Process and security transpire thru to the end-user experience.
Notice that the forecast # is the same as the number in the scorecard. The scorecard and the planning experience are integrated.
The yellow cells are the cells the user can contribute to. They represent the business drivers that determine the forecast numbers.
The CFO decides that the company will only sell 120 road bikes instead of 300.
The application then runs centrally stored calculation and logic. A new forecasting # appears.
While this model might work when you have a few subcategories, it is not highly scalable if you have many lines to update to show a new forecast.
This is when you can use spreading functionality. Spreading allows end users to set a bottom line # and have rules and logic defined in PerformancePoint run the allocation at the sub-level.
Here, the CFO simply updates the total qty of bikes and the calculation engine spreads the result of centrally defined logic. The results could be based on seasonality or any other calculations defined on the server.
The CFO can roll up this analysis to the European forecast and include an annotation at the cell level to explain that the new allocation has been spread.
Annotations are stored centrally to enforce auditability of the forecast.
The form can be shared and submitted.
Comments at the assignment level can be added to share more contextual information. Like cell annotations, they are also stored centrally to facilitate auditability.
Once refreshed, the new forecast # is reflected in the scorecard.
Microsoft Business Intelligence P L A T F O R M O V E R V I E W M A R C H 1 8 TH, 2 0 0 9 C H U C K R U S S E L L S E N I O R P A R T N E R C O L L E C T I V E I N T E L L I G E N C E I N C. C R U S S E L L @ C O L L E C T I V E I N T E L L I G E N C E. C O M