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Given two types of underlying data sources a data warehouse and a OLAP cube built from the data warehouse there are many different possible presentation layers client tools that serve different user communities with varying usage profiles. There is a lot of confusion on what is the best tool to use. This blog post will hopefully clear up the confusion and give you some guidance on the best tool for each situation. I recommend a blend of presentation layers as each organization typically has a wide range of performance management needs ranging from structured reporting to ad hoc analysis capabilities to strategic scorecards and dashboards. I am assuming a security paradigm within the data warehouse and OLAP cube that will show only the data that each user has access to, allowing various boilerplate views to be shared throughout the organization. A lot of the same tasks can be done in more than one tool, but you want to choose the tool that specializes in that task. Below I will first describe all the tools, and then follow with different categories of users and the tools they might use, then end with the different types of BI reporting styles that describes how users want to interact with and present information and the recommended tools for each style. The Tools. Excel Pivot. Tables, Services Good for ad hoc, one off analysis. Excel is the most widely deployed BI tool in the world for the self service analysis style. Excel has come a long way from a business intelligence point of view. Ever since it started to support Pivottable integration with OLAP cubes, it became the Ad hoc reporting application within the Microsoft BI stack. With each release of Excel the integration with OLAP cubes tightened and new features grew, with Slicers being one of the latest and best features. Excel has become a professional tool which users can use to create professional data models as well as ad hoc models meant just for the reporting need of that moment. To use Excel the end user will need the Excel application installed on his or her computer. Excel Services is a Share. Point Server feature that allows users to publish Excel workbooks to Share. Point so others can view it even if they dont have Excel installed. See video Demo Creating an Excel 2. Pivot. Table Using a SQL Server 2. R2 Analysis Services Cube and video Working with Excel Services in Share. Point 2. 01. 0. Pro. Clarity  Good for ad hoc, one off analysis. Pro. Clarity is a tool that Microsoft acquired in 2. Many of the Pro. Clarity features have rolled into Performance. Point.  There is Pro. Clarity Desktop, which is a rich client desktop authoring tool, Pro. Clarity Web Professional, a thin client web based authoring tool, and Pro. Clarity Analytics Server PAS, a server component which stores authored reportsdashboards, controls connections to data sources and renders dashboards. Despite it no longer being upgraded, it is still in wide use and many power users love it. It is easier to use than Excel and more powerful for creating reports and interactive dashboards. Anything created in Pro. Clarity can be published to a dashboard in Share. Silmarillion Epub Best'>Silmarillion Epub Best. Point, which many power users do without IT involvement. Note you can only download Pro. Clarity if you have an MSDN subscription. It also has two add ons Selector and KPI Designer. More info is at What Future for Pro. Clarity Analytics The Microsoft Pro. Clarity Team Blog. For a product that is similar to Pro. Clarity and is backwards compatible, check out Pyramid Analytics from the former Proclarity folks who were at Microsoft and were involved with Performance. Point Server. SQL Server Reporting Services SSRS  SSRS provides a complete, server based platform designed to support a wide variety of reporting needs. It is a powerful report authoring and management environment allowing creation of static and parameterized reports. The reports are built using Visual Studio. All reports can be accessed via a portal as well as automatically generated and distributed. Users can perform analysis through parameters, filters, drill down, and drill through. Reports and be scheduled and distributed via portal, file share, email, or printer, and may be generated as PDF, Excel, XML, comma delimited text file, TIFF image, HTML, or Microsoft Word formats. See video Introduction to SSRS 2. Report Builder  Report Builder provides an intuitive report authoring environment for tech savvy business users and IT professionals to develop highly formatted reports using an Excel like ribbon. Report Builder is the light weight substitute for Visual Studio. Visual Studio was formerly required if you wanted to make reports. Report Builder supports all of the features that Visual Studio does. With Share. Point, Report Builder can be offered to users as a click once application. You still require technical skills in order to make any interesting report. Frequently Report Builder is being used as a sand box tool for power users. He or she would create a report and then hand it over to IT for further development, which is easy to do because the published reports are actually SSRS reports. The IT department typically integrates it into an existing solution and saves it to a source control like Team Foundation Server. Report Builder is easiest for the non technical user if a Report Model that is, a business oriented semantic layer is in place so they can understand and consume information without requiring knowledge of the underlying source tables. A SQL Server Reporting Services environment is required because Report Builder uses that environment and can therefore use all the feature of SSRS, such as data driven distributions. See video Introduction to Report Builder 3. Power. Pivot Excel, Share. Point  Good for ad hoc, one off analysis. A free add in to Excel. It extends the capabilities of the Pivot. Table data summarization and cross tabulation feature by introducing the ability to import data from multiple sources. With Power. Pivot you can also work with data sets much larger than the Excel 2. Power. Pivot can scale to hundreds of millions of rows by using the x. Velocity engine.  The x. Velocity engine performs query processing and implements a column based data store with efficient compression algorithms to get massive amounts of data directly into memory. With all the data in memory, Power. Pivot can perform its query processing, data scans, calculations, and aggregations without having to go to disk. A non technical person can use Power. Pivot to prototype a solution quickly before involving IT to build a more traditional BI infrastructure like a SSAS cube. It allows a user to visualize all solutions and know exactly what they want before the specialists come in. There is also Power. Pivot for Share. Point, which supports Excel 2. Power. Pivot data that are published to a Share. Point site and can be refreshed automatically. As a result, other users who do not have the Power. Pivot add in installed can view and interact with the workbook. This requires two components to be installed, Power. Pivot System Service and Analysis Services in Tabular mode which stores data using the x. Velocity engine, which is an in memory columnar database, check out When to choose tabular models over Power. Pivot models.  See video Introduction to Power. Pivot and video Business Intelligence in Share. Point 2. 01. 0. Performance. Point Services PPS PPS is a component of Microsoft Share.