Introduction to MSSQL Server Analysis Services: Reporting Options for Analysis Services Cubes: MS Excel 2003 and More ...

Monday Sep 12th 2005 by William Pearson

Business Intelligence Architect Bill Pearson takes a look at Excel 2003 as a reporting option for Analysis Services cubes. He then provides an overview of the Microsoft Office Excel Add-in for SQL Server Analysis Services.

About the Series ...

This article is a member of the series Introduction to MSSQL Server Analysis Services. The series is designed to provide hands-on application of the fundamentals of MS SQL Server Analysis Services, with each installment progressively adding features and techniques designed to meet specific real - world needs. For more information on the series, as well as the hardware / software requirements to prepare for the exercises we will undertake, please see my initial article, Creating Our First Cube.

Note: Current Service Pack updates are assumed for MSSQL Server 2000, MSSQL Server 2000 Analysis Services, and the related Books Online and Samples. Images are from a Windows 2003 Server environment, within which I have also implemented MS Office 2003, but the steps performed in the articles, together with the views that result, will be quite similar within any environment that supports MSSQL Server 2000 and MSSQL Server 2000 Analysis Services ("Analysis Services" or "MSAS"). Our focus in this article is Microsoft Excel 2003 in conjunction with Analysis Services, which will require that Microsoft Excel 2003 be installed on the PC we use to undertake the steps of the practice exercise.

Through, and together with, Microsoft Excel 2003, we will use Microsoft Query to create an Excel PivotTable report based upon an OLAP cube as a data source. Microsoft Query provides the capability for establishing connections to our cubes, among other functions. Because it is an optional Microsoft Office component, we will need to ascertain the existence of Microsoft Query on our PCs. If this is the first time Microsoft Query is being accessed on the machine, it may be a good idea to consult the appropriate Office 2003 online documentation for installation instructions.

We will also need the Microsoft OLAP Provider, included in a typical Excel 2003 installation, which consists of the Data Source Driver and the client software needed to access cubes created by Microsoft SQL Server 2000 Analysis Services.

About the Reporting Options for Analysis Services Cubes Articles ...

When I began the Reporting Options for Analysis Services Cubes in March, 2003, I set out to explore what had become a popular topic, as well as a subject of countless e-mails and forum questions: what were the options for reporting from Analysis Services cubes? Since then, the field of options has widened considerably, with the number of applications that can access our cubes increasing in response to Analysis Services' success in the market. I noted in my introductory article, Reporting Options for Analysis Services Cubes: MS Excel 2002 that, having connected to Analysis Services cubes with various business intelligence tools, I had found that the steps for establishing connection to the cube data source are similar between various products. We then examined the use of MS Office (Excel 2002 in the introductory article, and Microsoft FrontPage 2002 in a subsequent article), exposing some of the options that were available within the pervasive MS Office suite.

As I noted then, the integration of MS Office with the MSSQL Server and Analysis Services components make this a comfortable arrangement for many reporting needs. Moreover, having examined Microsoft Excel 2002 as a reporting option for Analysis Services cubes, I continue to receive questions regarding the use of Excel 2003 for the same purpose. While the general concepts in my previous article still apply, and changes to the appearance of the various dialogs and displays involved have been minimal, I thought it might be useful to address specific settings using Excel 2003 to report from an Analysis Services cube. The widespread use of Excel compels me to keep my readers up to date with the most recent version, and so I have revisited its use in accomplishing similar objectives to that of the previous article. This article will serve as that update, therefore, "synchronizing" the features of Excel 2003 with the process of establishing connectivity and enabling reporting capabilities that we considered in the Excel 2002 article, all within an independent article.


In this article, we will explore features that integrate Analysis Services and MS Office Excel 2003, to provide a vehicle for client reporting and other business intelligence capabilities. The central focus of the article will be a basic overview of the Excel 2003 PivotTable Report. Within the context of the article, we will examine the role of Excel 2003 as the "client representative" of the Analysis Server; other roles (for instance, the PivotTable Report's dual role as creator of, and consumer for, local cubes) will not be examined in this article. In addition, we will provide a brief summary of another Excel 2003 OLAP Reporting option, the Microsoft Office Excel Add-in for SQL Server Analysis Services.

We will examine the PivotTable Report features that are available with Microsoft Excel 2003 in this article. Our examination will include PivotTable Report options that provide for creating robust and flexible reports, and will explore:

  • Setting up a connection to an OLAP cube;
  • General navigation of member information and cube data;
  • Drilling down to details of reporting summaries;
  • Venturing beyond the " X-Y " dimensions, and making the PivotTable Report truly multidimensional;
  • Select formatting options for our Excel 2003 PivotTable Reports;
  • Using the Excel Add-in for SQL Server Analysis Services as another fully featured, reporting and analysis option for Excel 2003 and Analysis Services cubes.

Reporting Options for Analysis Services Cubes: Microsoft Excel 2003

MS Office 2003 continues to build upon the robust OLAP reporting features for the desktop user that began to appear, in earnest, in MS Office 2000. The basic operation of the PivotTable report has remained the same as with previous versions. We will examine the PivotTable report in a hands-on fashion in the sections that follow, to update the information we provided in Reporting Options for Analysis Services Cubes: MS Excel 2002. Next we will examine another Excel 2003 OLAP reporting option, the Microsoft Office Excel Add-in for SQL Server Analysis Services, discussing its capabilities and providing information regarding where to obtain this exciting add-in.

PivotTable Reports in MS Office Excel 2003

When a PivotTable report accesses a multidimensional cube, it receives data from a specified Analysis Server via the PivotTable Service. As the first exercise in our tutorial, we will create a PivotTable report that accesses the Warehouse sample cube that comes along with Analysis Services. We will use the PivotTable Wizard found in Excel 2003 in our initial efforts. The procedures we cover are essentially the same for Excel 2000 and 2002, although some of the terminology used in the latter, as well as the appearance of dialogs / other objects, differ, to a degree.

The Wizard accesses the Microsoft Query application in Excel to build a query file. Query file creation is a one-time event for any given PivotTable report, and defines the connection between Microsoft Excel and the Analysis Services cube.

Connecting Excel to the Cube

The PivotTable Wizard walks us through a guided process for connecting Excel 2003 to a given Analysis Services cube. We begin by taking the following steps:

1.  Open a new Excel 2003 workbook.

2.  Click Data (top menu), then select PivotTable and PivotChart Report, to initialize the PivotTable and PivotChart Wizard, as shown in Illustration 1.

Illustration 1: Initializing the PivotTable / PivotChart Wizard ...

The PivotTable and PivotChart Wizard - Step 1 of 3 dialog appears.

3.  Select the External Data Source radio button on the Step 1 of 3 Wizard dialog.

4.  Ensure that the radio button to the immediate left of "PivotTable" is selected in the lower half of the dialog, underneath "What kind of report do you want to create?"

The PivotTable and PivotChart Wizard - Step 1 of 3 dialog appears as depicted in Illustration 2.

Illustration 2: The Step 1 0f 3 Wizard Dialog, with Settings

5.  Click Next.

The PivotTable and PivotChart Wizard - Step 2 of 3 dialog appears, as shown in Illustration 3.

Illustration 3: The Step 2 0f 3 Wizard Dialog

Here we specify the source of our data. For this tutorial, we will use the sample Warehouse cube that accompanies an installation of Analysis Services.

6.  Click the Get Data button.

Microsoft Query starts, and presents the Choose Data Source dialog.

7.  Click the OLAP Cubes tab.

The dialog box appears as depicted in Illustration 4.

Illustration 4: The Choose Data Source Dialog

8.  Click and highlight <New Data Source>, as necessary.

9.  Click OK.

The Create New Data Source dialog appears.

10.  Type the following in Box 1 of the dialog, where we name the data source:

Warehouse Cube

11.  Select Microsoft OLE DB Provider for OLAP Services 8.0 in Box 2.

The Create New Data Source dialog appears as shown in Illustration 5.

Illustration 5: The Create New Data Source Dialog

12.  Click the Connect... button.

The Multidimensional Connection dialog appears.

13.  Ensure that the Analysis server radio button is selected as the location of the multidimensional data source we wish to access.

14.  In the Server text box, type the name of the server.

The Multidimensional Connection dialog appears, as depicted in Illustration 6 (where we see the name of one of my servers, MOTHER).

Illustration 6: The Multidimensional Connection Dialog

NOTE: The name localhost can be supplied, if Excel and the cube share the same server, according to the Microsoft documentation.

15.  Click Next.

The next dialog of the Multidimensional Connection appears, asking that we select the targeted Analysis Services database. Here we will select the FoodMart 2000 database that accompanied the Analysis Server installation, as shown in Illustration 7.

Illustration 7: Select the FoodMart 2000 Database

NOTE: The databases that appear within the selection list of the Multidimensional Connection - Select the database ... dialog will differ, depicting those Analysis Services databases that exist within your own environment.

16.  Click Finish.

The Create New Data Source dialog reappears, with the new target data source indicated to the right of the Connect... button.

17.  Select the Warehouse cube in Box 4 of the dialog, where we notice that all cubes in the Foodmart 2000 Analysis Services database appear.

After selecting the Warehouse cube, the Create New Data Source dialog should resemble that depicted in Illustration 8.

Illustration 8: The Completed Create New Data Source Dialog

18.  Click OK.

We return to the Choose Data Source dialog.

19.  Ensure that the Warehouse Cube data source remains selected, as shown in Illustration 9.

Illustration 9: Our Warehouse Cube Data Source is Selected

20.  Click OK, to return to the Step 2 of 3 dialog, where we left off with the PivotTable and PivotChart Wizard.

The Step 2 of 3 dialog appears, as depicted in Illustration 10. Note that a new message, "Data fields have been retrieved," now appears to the right of the Get Data button.

Illustration 10: Indication that Data Fields have been Retrieved (Message Circled)

21.  Click Finish.

An empty PivotTable report appears, allowing us to begin browsing the cube / designing the report immediately. In addition to the PivotTable report template, the PivotTable toolbar and the PivotTable Field List appear; the PivotTable Field List provides a selection of report building components (we discuss these in the next section).

The Analysis Server is now providing the dimension and measures information to the PivotTable report directly from the cube.

Layout and Navigation of the PivotTable Report

The PivotTable report is composed of the four general sections. We exploit the power of OLAP in our PivotTable report by simply juxtaposing our dimensions in the sections in such a way as to present data in the desired combinations - at the "intersects" of the dimensions, as it were. As we drag and drop the dimensions and their members into different positions, the measures we have placed in the Data Items section change to match the new placement of the combinations. Values are therefore presented within the context of the axes. The four sections of the PivotTable report are shown in Illustration 11.

Click for larger image

Illustration 11: The PivotTable "Map"

Dimensions and measures are presented as items on the PivotTable Field List, which, for our current example, appears in Illustration 12.

Illustration 12: The Items of the PivotTable Field List

As we can see, each item is paired with one of two types of icons that represent dimensions and measures respectively. The dimension icons appear as tiny "reports" or "tables"; the measure icons contain a characteristic "01 10" pattern.

The PivotTable Field List items are the main ingredients of the Excel PivotTable report. The PivotTable Field List can be anchored to either side of the Excel window ("docked") simply by dragging it to the desired location, making it a fixed target (something I find easier to handle than the "floating" approach - I have docked mine in illustrations of the PivotTable Report depicted throughout the article), and can be made to disappear and reappear easily with the rightmost button (default position) on the PivotTable toolbar. The same is true for the PivotTable toolbar, except that it can be docked at the top, bottom, or sides of the window, along with the other toolbars, and can be retrieved from hiding with the View > Toolbars > PivotTable selection sequence from the top menu.

Browsing Our Cube Data

A PivotTable report is highly flexible in that it serves as both a browser and a report writer. As we have seen, the "candidate" dimension and measure components of the PivotTable report appear on the PivotTable Field List. We are restricted to dragging dimensions to the axes, and measures to the Data section, so potential confusion is eliminated to a large extent. Indications as to the nature / identity of the toolbar objects are a fringe benefit of our connection to the OLAP cube, as we shall see.

Let's begin a basic Browse process to illustrate the steps involved:

1.  Drag the Warehouse Sales item (a measure) from the PivotTable Field List to the Data section (the portion of the PivotTable area where "Drop Data Items Here" appears in gray).

A tiny icon appears in the image of the four-part map of the PivotTable area. The "data" section of the icon image is blue, indicating that the item we are dragging is a measure.

2.  Drop the Warehouse Sales item in the "Drop Data Items Here" (the "Data") section of the PivotTable "map."

Warehouse Sales appears within the PivotTable as depicted in Illustration 13.

Illustration 13: The Warehouse Sales Measure in the Data Section (with Docked, Partial PivotTable Field List in Place)

Most of the section highlights disappear, as shown, and the PivotTable report displays the Total of Warehouse Sales in the cube.

3.  Select the Warehouse dimension.

4.  With Row Area selected in the selector under the Field List, click the Add To button to its immediate left.

The PivotTable report now appears as shown in Illustration 14, where we see that Warehouse Country has become the row header label.

Illustration 14: The Warehouse Dimension in the Row Axis

5.  Drag the Time dimension to the column axis of the PivotTable report (an alternative means to using the selector / Add To button for placing Field List items), where the empty cell appears to the right of "Warehouse Sales" and above "Total," in the area marked "X" in Illustration 15.

Illustration 15: Drop Point for the Time Dimension in the Column Axis

The mouse pointer becomes an icon, to indicate when we are in the correct position for dropping.

6.  Drop the Time item in the cell indicated.

1997 and 1998 (both Year levels of the Time dimension) appear as column header labels within the PivotTable, as depicted in Illustration 16.

Illustration 16: The Time Dimension in the Column Axis

7.  Drag the Product dimension to the page axis of the PivotTable report (the blue outlined area at the top left corner of the worksheet, which probably still indicates "Drop Page Fields Here"), as shown in Illustration 17.

Illustration 17: The Product Dimension in the Page Axis

Let's center the column headings to enhance the appearance of the new report.

8.  Select and click Table Options from the PivotTable menu on the PivotTable toolbar, as depicted in Illustration 18.

Illustration 18: Selecting the Table Options Dialog

The PivotTable Options dialog appears. Many formatting and other global settings are represented within this dialog.

9.  Leaving all other settings at default, click the checkbox to the immediate left of Merge labels.

The PivotTable Options dialog appears, with our modification, as shown in Illustration 19.

Illustration 19: The PivotTable Options Dialog

NOTE: For information regarding the purposes of the other settings, see the online Help and other documentation.)

10.  Click OK to save our change, and to dismiss the PivotTable Options dialog.

Our PivotTable report appears, with the column labels now centered, as depicted in Illustration 20.

Illustration 20: Format Changes Appear in the PivotTable Report

Viewing Member Details

The capability to "explode" the hierarchical levels of our dimensions to member children enhances data analysis by allowing business users not only to view the reports to which they have become accustomed (for example, a trending of monthly organizational expenses), but also to drill down to the details supporting any summary value. This allows the analyst to see the details that make up the value upon which he / she drills down. The beauty of multidimensional analysis becomes clear, with this interactive ability to find root causes for changes in activity over time (among myriad other values). Information consumers can also return to higher levels within hierarchies to view summary information.

The PivotTable report / cube combination provides the ability to view various levels of activity for members as a group, as well as to analyze the details of summary values on an individual member basis, as we will see. We can explore the drill-down capabilities of the PivotTable report by performing the following actions:

11.  Within the Warehouse column of the existing report, double-click the cell containing USA.

The report drills down to the Warehouse State Province, the immediate children of the Warehouse Country, as shown in Illustration 21.

Click for larger image

Illustration 21: Drilling Down to the Children of the USA Warehouse Country

12.  Double click the Washington (WA) Warehouse State Province to drill to its children.

The children of the Washington Warehouse State Province appear, as depicted in Illustration 22.

Illustration 22: Children of the Washington Warehouse State Province

We can always reverse a drill-down action ("drill up," as it were) by double-clicking the original drill-down object. We will short-circuit the process and zoom up to the original Warehouse Country level, where we began drilling earlier.

13.  Double-click the USA Warehouse Country once again.

The resulting dataset should resemble that depicted in Illustration 23.

Illustration 23: Zoom Up to the USA Warehouse Country

14.  Double-click USA again, to expose the three Warehouse State Provinces once more.

15.  Click (once, to highlight) the Warehouse State Province level heading (above the CA member, and to the right of the Warehouse Country column.

16.  Click the Show Detail button on the PivotTable toolbar (another means of drilling down to the immediate children), as shown in Illustration 24.

Illustration 24: Another Means of Drilling Down - All Members of a Level Simultaneously

The children of all members of the State Province level appear, as depicted in Illustration 25.

Illustration 25: Children of the Entire State Province Level

Next, let's assume that we want to hide the "USA" column of the report (logical enough, if all our stores are located in the United States - the "USA" level is somewhat redundant, and takes up useful real estate.)

17.  Right-click the Warehouse Country level heading.

18.  Click Hide Levels in the context menu that appears, as shown in Illustration 26.

Illustration 26: The Context Menu - Hide Levels Option

This leaves us with a view that is more compact, similar to that depicted in Illustration 27.

Illustration 27: The PivotTable Report, sans the USA Warehouse Country Column

There are many other options for browsing our cubes, as well as with formatting the views we generate. It pays to invest some time experimenting with the plethora of available choices, and determining the combination of settings needed to get information to the targeted consumers in a fashion that will be most useful to them. Next, we will delve a bit further into the concepts of adding multidimensionality to our reports, and demonstrate a straightforward approach to leveraging even more of the power of our OLAP cube to deliver analysis-focused data.

"Going Multidimensional" in Cube Reporting

We will take the a few steps to demonstrate how we can further unleash the multidimensional power of our cubes, by making multiple dimensions share the same axis in our PivotTable report. The PivotTable report provides a full realization of the information presentation potential of the multidimensional cube when we intersect dimensions on a single axis, and therefore delivers the full impact of multidimensional data in the "two-dimensional world" of the typical reporting environment.

We will begin by making Product a part of the row axis to make analysis of Warehouse members more powerful, yet more compact.

1.  Drag the Product item from the page axis (upper left hand corner of the PivotTable report) to the right of the currently appearing Warehouse City column.

2.  Dropping the Product item to the right of City.

The result set should resemble that partially shown in Illustration 28.

Click for larger image

Illustration 28: Combining the Warehouse and Product Dimensions in the Row Axis

We can easily tell that only the Product Family label represents the top level of a dimension, as a drop-down arrow only appears at top levels. We can see in this simple scenario that multiple dimensions (in our case the Warehouse and Product dimensions), as well as multiple levels of a given dimension (here, the Warehouse State and Warehouse City levels of the Store dimension), can co-exist on a single axis. The possibilities that emerge are far reaching, indeed.

Now let's add another measure - Units Shipped - to the report, to present information about Warehouse shipping activity that coincides with Warehouse sales.

3.  Drag the Units Shipped item from the PivotTable Field List to the Data section of the PivotTable report (the column under the Year heading and 1997 in our present report).

4.  Drop the Units Shipped item on the top cell in the column, as depicted in Illustration 29.

Illustration 29: Drop Point for the Units Shipped Item

Once we drop the measure, the PivotTable report appears as shown in Illustration 30.

Illustration 30: Dual Measures now appear in the PivotTable Report (Partial Illustration)

A new Data column appears, and in accordance with its default behavior, represents what appears to be a fourth row dimension. "Data" itself represents a "measures dimension," as it were.

5.  Drag the Data label to the column cell just above its present position, as depicted in Illustration 31.

Illustration 31: Drag the Data Label Up to Swap Axes ...

6.  Drop the Data label in the cell above its present position.

We have placed the label in the column axis, which could be more along the lines of our presentation needs. The PivotTable report now appears as partially shown in Illustration 32.

Illustration 32: The PivotTable Report with a Second Column Dimension

Next, we will move the Time dimension to the page axis to make our presentation a bit less confusing for its audience.

7.  Drag the Year dimension item to the page axis in the top row of the PivotTable report.

The PivotTable report appears as partially depicted in Illustration 33, once we make this final change.

Illustration 33: The PivotTable Report with Final Changes

Keep in mind that hiding either measure is as simple as clicking the drop-down arrow next to the Data dimension button and clearing the respective check box.

As we can see, making a PivotTable report truly multidimensional is both straightforward and intuitive, once we get a good understanding of the basics. We can further improve the appearance of our report by making any of a myriad of adjustments within the standard Excel formatting options, or from the AutoFormat choices that we can access from the Format Report button on the PivotTable toolbar. We can experiment with these to find a style that approaches the needs of the information consumers within virtually any reporting and analysis scenario.

8.  Select File -> Exit to close Microsoft Excel 2003, saving the PivotTable report to a convenient location, as appropriate.

Having examined the PivotTable report for Excel 2003 to the extent of familiarity with which we explored it for its predecessor version, we will take a brief look at another exciting OLAP reporting option for Excel in the section that follows.

Excel Microsoft Office Excel Add-in for SQL Server Analysis Services

The Microsoft Office Excel Add-in for SQL Server Analysis Services, available for free download from Microsoft at this writing, has proven itself to be a clever reporting and analysis tool within itself. I also recommend it to clients and readers who wish to learn Analysis Services, and particularly MDX, concepts from a practical, user-friendly perspective. The Add-in provides flexible reporting and analytical capabilities for data imported into Excel from Analysis Services cubes, where Analysis Services acts as a middle-tier server for OLAP and data mining.

The Analysis Server still manages the cubes and provides rapid client access to cube information, so the Add-in effectively provides another reporting option with Excel as the client. The Add-in for SQL Server Analysis Services provides integration between Microsoft Office XP and Office 2003 editions and Analysis Services (Service Pack 2).

The Add-in for SQL Server Analysis Services is particularly useful in that it allows us to put our existing Excel skills to work to quickly and easily create reports that meet the business needs of our respective environments. This tool provides an excellent means of equipping one's organization with a refined capability to identify opportunities, and to respond to business conditions, as well as to perform in-depth analysis and reporting within the realms of planning, forecasting and budgeting, as well as sales and marketing and a host of other arenas that impact our businesses. It allows us to easily access the potentially large volumes of data that our cubes contain by providing a means to import data from one or more Analysis Services cubes, and to then use a combination of Analysis Services and Excel techniques and functionality for a wide range of analysis, manipulation and presentation capabilities to support corporate decision making.

The capabilities we can leverage with the Add-in for SQL Server Analysis Services are many. They include:

  • Importing data from multiple Analysis Services cubes;
  • Combining data from multiple dimensions to obtain a multidimensional perspective;
  • Performing drillthrough to see underlying source data (the transactions that make up balances, etc.);
  • Specification of filter conditions;
  • Performing ranking;
  • Performing writeback to cubes (excellent client input application for budgets, forecasts and the like);
  • Performing what-if analysis (in conjunction with writeback and otherwise);
  • Leveraging actions resident in targeted cubes;
  • Using page filters (in addition to the more pedestrian row and column filters) to display subsets of data;
  • Leveraging server-side formatting;
  • Using enhanced navigation capabilities;
  • Creating free-form and structured reports (the two primary types within the Add-in);
  • Using Excel formatting and calculation features.

The Microsoft Office Excel Add-in for SQL Server Analysis Services is available at the following link:


Documentation and white papers that are also available on this page provide a great introduction to this powerful add-in. I have used the Excel Add-in for SQL Server Analysis Services recently in providing client writeback capability within an engagement where no other client existed that was adequate for this purpose. In addition, I have found the reporting capabilities worthwhile for scenarios where a full-blown OLAP reporting solution, such as SQL Server Reporting Services, was either not required, or where an interim need existed for which an integrated, industrial strength solution was being developed for later implementation. Moreover, the Microsoft Office Excel Add-in for SQL Server Analysis Services has often served me as a convenient means of independent verification of results obtained in Reporting Services or other reporting applications, and as an overall tool to support such peripheral needs.The add-in provides two reporting modes, free-form and structured, each with its own features. For more information, see Free-form and structured reports.


In this article, we explored the integration of Analysis Services and MS Office Excel 2003, to present updated options for client reporting and other business intelligence capabilities. The central focus of the article was a basic, hands-on review of the Excel 2003 PivotTable Report. Within the context of the article, we examined the role of Excel 2003 as the "client representative" of the Analysis Server, and examined ways to leverage the multidimensional reporting and analysis capabilities supported by Analysis Services cubes.

Our examination of the PivotTable Report features available in Excel 2003 included PivotTable Report options that provide for creating robust and flexible reports. As part of our exploration, we performed hands-on practice that included setting up a connection to an OLAP cube, as well as navigating member information and cube data. We drilled down to details of reporting summaries, and ventured beyond the " X-Y " presentation of dimensions, creating a page "slice" and working with dimension combinations to make our PivotTable report even more multidimensional. We also examined formatting options within the report.

In addition to our examination of the once-solitary Excel option for OLAP reporting and analysis, the Excel 2003 PivotTable Report, we provided a brief summary of another Excel 2003 OLAP Reporting option, the Microsoft Office Excel Add-in for SQL Server Analysis Services, as well as direction as to where the Add-in might be obtained.

» See All Articles by Columnist William E. Pearson, III

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