2005 Best Practices in Data Warehousing Awards
Leading Innovations in Business Intelligence & Data Warehousing
Deadline: April 1, 2005
* Required fields.
*Name of Nominated Company
*To which category are you applying? Check one below:
___ Enterprise Data Warehousing
You must submit a separate application ___ Customer Relationship Management
for each category to which you are applying. ___ Business Performance Management
Limit is two categories per organization. ___ “Right Time” Business Intelligence
___ BI Stewardship and Data Quality
Please Note: TDWI uses the term ___ BI On A Limited Budget
business intelligence (BI) to refer to both
___ Data and Text Mining
data warehouses and the analytical (BI)
tools and applications that run on them. ___ Radical Business Intelligence
___ Government and Non-Profit
*Lead Business Sponsor or Driver at
Name, Title, Phone, E-mail, and Role
*Signature and Date
*Lead I.T. Contact at Nominee’s Firm
(must be different person than above)
Name, Title, Phone, E-mail
*Signature and Date
Contact at Solution Sponsor’s
Company (If Applicable)
Name, Title, Company, Phone, E-mail
*Signature and Date
*Note: Your application is not considered complete until you print, sign, and fax back this page
to TDWI at 206-246-5952. The information contained in this application is used solely for the
purpose of selecting winners for the Best Practices program but is otherwise considered
confidential by TDWI staff and judges. If you are selected as the Best Practices and/or
Leadership winner, your signature authorizes TDWI to promote your organization in TDWI
public relations and marketing efforts.
A. BACKGROUND - Respond to all questions below.
Company Description. Describe your
(the Nominee’s) company in one
Business Purpose. Briefly describe the
business purpose of the application or
system from a business perspective. Why
was the system built?
Architecture. Briefly describe the
architecture of the system. (i.e. the layers
through which data flows from sources to
end-users and the products and platforms
for each layer.) Attach a simple diagram
if you think it would help describe the
B. SHORT QUESTIONS - Respond to all questions below.
Other Contests. Has this project been
submitted to other contests? If so which
ones and when?
Rollout Date. What month and year did
the system being nominated officially go
Owner. Which department or executive
owns the budget for the system? (i.e.
CFO, CIO, Corporate IT, etc.)
Functional Areas. List the functional
areas that the system supports. (i.e.,
finance, manufacturing, marketing, sales,
Active Users. How many business users
use the system at least once a week?
Types of Users. What percentage of the ___% Casual Users (View reports several times a week)
users fall into the following categories? ___% Power Users (Explore data regularly)
___% Other (Please specify):______________________
Source Systems. How many distinct
source system applications does the data _________
warehouse draw from?
___% Mainframe or minicomputer (non-relational)
___% Mainframe or minicomputer (relational)
Source System Percentages. What ___% Relational (non-mainframe)
percentage of data in the warehouse ___% Desktop
comes from the following sources? ___% Other files
___% External data
___% Other. Please specify :___________________
Source System Composition. Please
list the top three source systems feeding 2. ______________________________
data to the data warehouse.
Load/Update Intervals. What percentage ___% Monthly
of data is loaded in the following ___% Weekly
intervals? ___% Daily
___% Less than daily. Please specify the interval and
Data Volume. How much data is in the
data warehouse, including any
downstream data marts or operational ______________
data stores, expressed in gigabytes or
____ Less than $100,000
____ $100,000 to $500,000
What is the 2005 maintenance budget of ____ $500,000 to $1 million
your system? (Please put a check the ____ $1 million to $2.5 million
correct range at right): ____ $2.5 million to $5 million
____ $5 million to $10 million
____ $10 million +
____ Less than $100,000
What is the 2005 capital budget of your ____ $100,000 to $500,000
system? (Please check the correct range ____ $500,000 to $1 million
at right): ____ $1 million to $2.5 million
____ $2.5 million to $5 million
____ $5 million to $10 million
____ $10 million+
Team. How many full-time equivalent staff
are on the current BI team, including ______ Number of FTEs on Current Team
external consultants and contractors?
What percentage is external to the ______ % of External Consultants/Contractors in above
___ Business sponsors/drivers
___ Project managers
___ BI architects/developers
___ ETL architects/developers
Roles. How many FTE staff fill the ___ Data architects/modelers
following roles? (Include external ___ Subject matter expert/business analyst
consultants in your FTE count.) ___ Business requirements analyst
___ Data modelers
___ DW Administrators
___ Other notable roles with more than one FTE:
Initial Roll Out. Please indicate how long
it took to roll out the initial system, the Time (from approval to initial roll out): _____________
total cost to roll out that system, and the
years until payback. Start Date: _____________ End Date: ________________
Cost (including HW, SW, Services, Labor): $____________
Years Until Payback (or estimate): ____________
Initial Rollout Team. Briefly describe the
major differences between your initial
rollout team and your current team (listed
above in terms of FTE per role. Ex.
“We’ve added 3 FTE to help with ETL.)
___ Very High
Executive Perception1. To what degree ___ High
do your top executives consider the ___ Moderate
project strategic to the organization’s ___ Low
mission? ___ Very Low
___ Programmer-generated monthly reporting system
Executive Perception2. Which best ___ Spreadsheet-based planning, forecasting, and reporting
describes how your top executives view ___ Analytical tools that empower knowledge workers
the BI system? (Select one) ___ Monitoring system that reduces costs, boosts efficiency
___ Mission critical system that drives processes & profits
___ Strategic system that provides a competitive advantage
Stewardship/Governance. Describe the
steering committee or person that sets
direction for the system. One paragraph
per committee or person.
C. BEST PRACTICES ESSAY
This is the most important part of your application!
Please describe your project and explain why it is a best practice in the category to which you
are applying. Judges will evaluate this essay using the following criteria: 1) Business Impact 2)
Maturity 3) Innovation and 4) Relevance. This criteria will be examined in the context of the
category you selected so make sure you explain how your project and its distinguishing features
relate to the category.
Also, please be as specific as possible, especially when it comes to describing the business
impact or business value of the project. Judges love to hear tangible cost-savings and ROI
figures as well as intangible benefits. To evaluate Maturity, we’d love to hear the original vision
for the project and the degree to which you think you have achieved it (or changed it) and what
you still have left to do near term and long term. Finally, tell us what you think is new or different
about your approach from other companies and what things others can learn from your
successes (or failures)?
Please limit your essay to three pages or less.
Is there anything else that you would like
the judges to know about your
application or system that you haven’t
A team of judges comprised of TDWI staff and faculty members will evaluate the entries using
the following criteria:
1. Business Impact. What is the business value of the data warehousing initiative?
2. Maturity. Has the solution's 'vision' been fully implemented?
3. Innovation. Does the data warehousing environment use an innovative design or
4. Relevance. Does the data warehousing environment demonstrate best practices that other
companies can adopt?
PLEASE NOTE: TDWI uses the term business intelligence (BI) to refer to both data
warehousing environments and analytical (BI) tools and applications that run on them.
1. Enterprise Data Warehousing – The enterprise data warehouse (EDW) delivers a
consistent set of data for the entire organization. The EDW is the sole source of integrated,
atomic, and historical information that the organization uses to drive key analytical and
operational processes. The EDW enables the business to work in an efficient, coordinated
fashion since all users and applications work off the same set of information and rules.
2. Customer Relationship Management (CRM) – Many organizations use enterprise data
warehouses to integrate customer data. There are many strategies to integrate customer data,
but the end result is the same: to provide a 360-degree view of customers so that organizations
can optimize customer interactions across all channels. This customer-centric information is
used to attract, enhance, and maintain customer relationships.
3. Business Performance Management (BPM) – Organizations use dashboards and
scorecards to monitor the degree to which they are achieving key strategic objectives and goals.
BPM applications translate top-level strategy and goals into measures and initiatives specific to
every level of the organization. The applications then measure performance against those goals
and provide timely information so users can act to change outcomes before it’s too late.
4. “Right-time” Business Intelligence – Traditionally, BI solutions provide historical data
collected on a monthly or weekly basis. Now, companies are beginning to refresh data
warehouses on an hourly or nearly instantaneous basis using a variety of methods. These
“right- time” or low-latency data stores can then feed a variety of end-user applications,
including dashboards and portals, which enable users to optimize operational processes by
taking action in a timely fashion.
5. BI Stewardship and Data Quality – Data stewardship is an essential activity to ensure
executive support, funding, direction, and quality of a BI environment. Companies that excel at
data stewardship and data quality management foster a tight working relationship between
business and IT. An effective data stewardship program focuses on the usability, reusability,
quality, accessibility, and security of data.
6. BI on a Limited Budget – Many organizations face considerable financial constraints when
building BI environments. This requires project sponsors and managers to come up with clever
ways to stretch a limited budget to deliver real and sustained value to the organization. It also
often requires setting realistic goals, rolling out functionality in a phased approach, and
evangelizing and selling the organization on the value of BI at every opportunity.
7. Data and Text Mining – Companies are increasingly using data mining to unearth patterns
or correlations in the data to deliver business value. For example, organizations are using data
mining in a range of applications—from fraud detection and quality assurance to cross-sell
recommendations. More recently, companies are looking to mine text data, such as in Word
documents and e-mail, in order to gain insights from unstructured data.
8. Radical Business Intelligence – Some organizations have gained a competitive advantage
by bucking mainstream principles about how to construct BI solutions. These organizations use
radical new approaches or technologies to address problems and issues where traditional
methods have failed or proven cost-prohibitive. Often these organizations are pushing the
envelope of massive BI deployments or have significant cost constraints that force them to think
9. Government and Non-Profit – Government, education, and other not-for-profit agencies
face unique challenges when implementing and managing BI solutions. These organizations
often must sell, justify, and sustain BI projects using different tactics from those employed by
commercial organizations. However, the impact of these projects can be far-reaching, often
providing citizens and businesses much easier access to information and beneficial programs