Introduction to MSSQL Server 2000 Analysis Services: Custom Cubes: Financial Reporting – Part II

About the Series …

This is the eighth
article of the series, Introduction to MSSQL Server 2000 Analysis
. As I stated in the first article, Creating Our First
, the primary focus of this series is an introduction to the
practical creation and manipulation of multidimensional OLAP cubes. The series
is designed to provide hands-on application of the fundamentals of MS SQL Server
2000 Analysis Services ("Analysis Services"), with each
installment progressively adding features 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


In the first article of the series,
we used the Cube Wizard to build an initial cube with the assistance of
the Dimension Wizard. We progressed through subsequent articles,
creating similar dimensions to those we built with the Wizard, focusing largely
in our second article on using the Dimension Editor to illustrate
options for building a more customized cube. We continued this examination of
dimensions in Article
, where we recreated the calendar
time dimension, this time focusing on the process through which the Dimension
converts existing time / date fields to a time dimension, along with
its hierarchy of levels and members. Article Three also
exposed ways to customize the predefined, time-related properties that the
wizard establishes in building the time dimension, suggesting options for
customization of these properties to enhance the cube, from the dual
perspectives of user-friendliness and the reporting needs of the organization.
We created an example of an alternate time dimension for fiscal time
reporting, and then we discussed some of the considerations surrounding the
simultaneous housing of both hierarchies in the same OLAP cube structure.

In Article
, we examined another
special type of dimension, the Parent – Child dimension, and explored
the attributes that make it different from a regular dimension. We discussed
the considerations that surround Parent-Child dimensions, such as the recursive
nature of their data sources, and various actions that must be handled
differently in their creation and maintenance. We created a parent-child
dimension using the Dimension Wizard, within which we worked with levels
and properties. Finally, we enabled values at the parent level of our newly
created parent-child dimension. In Article
, Working with the
Cube Editor
, we reviewed, summarized and integrated many of the
concepts and components that we had previously constructed individually in
earlier lessons. We undertook a complete cube build "from scratch,"
pulling together all that we had learned, to demonstrate the assembly of a cube
more sophisticated than the cube we generated in our first lesson with the Cube

In Article
, Exploring Virtual Cubes, we introduced the concept of
virtual cubes, and practiced their creation and use. We discussed the options
that virtual cubes provide, from the often-intermingling perspectives of
consolidation of multiple data sources, presentation enhancement and control,
and other functionality. Through the use of hands-on illustrations, we
demonstrated some of the options that virtual cubes offer to extend the functionality and capabilities
of individual OLAP cubes

this two-part article, we will build a simple cube to
meet some illustrative business requirements of a hypothetical corporate
financial reporting function. We will expand upon many of the concepts we
introduced in earlier lessons, where we used virtual cubes to merge the two
into a single reporting "view," then we will discuss some of the
challenges that accompany cube design for financial reporting, and explore an
alternative approach to "merging"cubes.

In Part
of this article, we:

  • Created
    a core financial cube, focusing on the expense side, and based upon the
    expense fact table provided within the FoodMart 2000 sample
  • Discussed
    some of the realities of multiple fact tables in data sources that we
    often encounter in the business environment;
  • Explored
    some of the realities that accompany cube design for financial reporting.

In this
half of the article, we will:

  • Develop
    our core cube further, bringing in sales / revenue and other information
    to make the Profit / Loss position of the organization complete for basic
    financial reporting purposes;
  • Explore
    and practice the use of a UNION ALL query to prepare a "virtual"
    fact table for more effective cube creation;
  • Discuss
    rollup and aggregation concepts and considerations;
  • Explore
    "merging" cubes using Custom Members;
  • Introduce
    methods of sign and data type control within our presentation;
  • Address
    formatting and other considerations that arise as we create a cube to meet
    the needs of our information consumers.

We will develop our
initial core further in Part
of this lesson, then we will
populate our model with the Revenue / Sales elements of a simple Income
Statement, after discussing the options we have available within Analysis
Services for doing so.

William Pearson
William Pearson
Bill has been working with computers since before becoming a "big eight" CPA, after which he carried his growing information systems knowledge into management accounting, internal auditing, and various capacities of controllership. Bill entered the world of databases and financial systems when he became a consultant for CODA-Financials, a U.K. - based software company that hired only CPA's as application consultants to implement and maintain its integrated financial database - one of the most conceptually powerful, even in his current assessment, to have emerged. At CODA Bill deployed financial databases and business intelligence systems for many global clients. Working with SQL Server, Oracle, Sybase and Informix, and focusing on MSSQL Server, Bill created Island Technologies Inc. in 1997, and has developed a large and diverse customer base over the years since. Bill's background as a CPA, Internal Auditor and Management Accountant enable him to provide value to clients as a liaison between Accounting / Finance and Information Services. Moreover, as a Certified Information Technology Professional (CITP) - a Certified Public Accountant recognized for his or her unique ability to provide business insight by leveraging knowledge of information relationships and supporting technologies - Bill offers his clients the CPA's perspective and ability to understand the complicated business implications and risks associated with technology. From this perspective, he helps them to effectively manage information while ensuring the data's reliability, security, accessibility and relevance. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies, focusing his practice (since the advent of MSSQL Server 2000) upon the integrated Microsoft business intelligence solution. He leverages his years of experience with other enterprise OLAP and reporting applications (Cognos, Business Objects, Crystal, and others) in regular conversions of these once-dominant applications to the Microsoft BI stack. Bill believes it is easier to teach technical skills to people with non-technical training than vice-versa, and he constantly seeks ways to graft new technology into the Accounting and Finance arenas. Bill was awarded Microsoft SQL Server MVP in 2009. Hobbies include advanced literature studies and occasional lectures, with recent concentration upon the works of William Faulkner, Henry James, Marcel Proust, James Joyce, Honoré de Balzac, and Charles Dickens. Other long-time interests have included the exploration of generative music sourced from database architecture.

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