Computerworld is seeking IT user-organization best practice submissions for its inaugural Enterprise Intelligence Awards Program.
This global awards program is focused on best practices in the use of information technology solutions built on Teradata platforms.
The program is wholly and independently managed by Computerworld, with judges selected by Computerworld from senior IT management who themselves have received past industry awards.
NOMINATION CATEGORIES
- Integrated View of the Business
- Industry Innovation
- Excellence in BI and Analytics
- Performance Management
- Customer Intelligence and Management
Nominations Welcomed from:
Eligible nominees are exclusively IT end-user organizations that are Teradata customers. Nominations of IT end-user organizations are accepted from IT users themselves or their public relations representatives. Multiple submissions describing different deployments per IT end-user/organization will be considered. Please note: No IT vendors may submit and while submissions may operate in heterogeneous environments, the solution must include a Teradata platform.
Deadline for Receipt of Submissions:
Wednesday, September 3, 2008 (12:00 PM EST). Three finalists with one winner in each of the five categories will be recognized at the Enterprise Intelligence Awards ceremony on October 13, 2008, at the 2008 Teradata PARTNERS User Group Conference & Expo being held in Las Vegas, October 12-16, 2008. Click here for the submission process.
| Judges' Criteria for Evaluation:
Judges will evaluate and rank the finalists and winners in each category according to their substantiated Enterprise Intelligence solution attributes and achievements against the following set of criteria:
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Recognition and Benefits to Award Recipients and Program Nominees:
Use of Submission and Confidentiality of Information: |
Award Submissions open June 20, 2008
NOMINATION CATEGORIES
Integrated View of the Business
This category represents solutions with integrated data visibility across different departments of your organization. The solution enables the business to work in an efficient, coordinated fashion since data are oftentimes spread or locked in a sluggish technology environment.
Guidelines:
- Examples may include organizations that have consolidated data marts, or centralized their customer, supplier, or financial data sources to present a single view of the business to drive ROI and technology efficiencies.
- Solutions should typically demonstrate how the data warehouse, or EDW, supports a mixed workload of constant data loading, complex reporting, and tactical requests delivering data to users for decision making when it is needed, sometimes near real-time.
This category exemplifies innovative technology or the introduction of a new approach or idea resulting in something that has worked successfully in a specific industry. The solution is focused on advanced analytics running on or supported by the data warehouse to discover business opportunities, unearth patterns, and create business value.
Guidelines:
- Examples may include established applications that can range as broadly as money laundering and fraud detection to customer intelligence, customer cross-sell recommendations and improved patient healthcare treatments. (There is no industry application limitation.)
- Solutions should typically demonstrate that organizations have ramped up and expanded their use of analytics to improve revenues, lower costs, reduce risks, and curb questionable practices. Participants should describe the unique challenges their industry faces and the innovative, creative solutions that meet these challenges resulting in competitive advantage.
Excellence in BI and Analytics
This category highlights BI solutions that provide individuals with the ability to easily access information for monitoring, analysis, reporting and decision-making purposes.
Guidelines:
- Examples may include a measure of OLAP, analytic applications, predictive analytics, data visualization and data mining.
- Solutions should typically show the strategic importance of analytics to the business, financial return and measurable payback (returns on investment, assets, and resources) through created/protected revenue opportunities or cost savings.
- Solutions on data mining should typically show the tools used to discover patterns and relationships in data that are used to make reasonable, accurate predictions and the resulting quantifiable benefits to decision makers.
This category represents the use of data warehouse and either BI tools or BPM applications to leverage integrated data for improved financial performance across the organization. The solution provides cross-enterprise visibility to key business drivers to enable an organization to understand, act on and influence its financial performance.
Guidelines:
- Examples may also integrate financial and non-financial data from multiple Enterprise Resource Planning (ERP) systems and other operational data stores, and facilitate process automation in a way that shifts analysts’ focus from data gathering onto more value-added analysis.
- Solutions should typically include key solution components of planning, budgeting, financial consolidation, driver-based forecasting and planning, profitability analytics, dashboards, and scorecarding tools.
Customer Intelligence and Management
This category represents the use of technology in achieving excellence in customer intelligence, customer management and specific CRM implementations using Teradata platforms/applications.
Guidelines:
- Examples may include solutions demonstrating creative and effective campaign management initiates such as direct marketing, real-time offer management, email or mobile marketing, and event based marketing. Solutions should typically reflect results including more efficient marketing spend and increased acquisition.
- Examples may include implementations of unique customer programs that drive customer retention and loyalty, improved customer satisfaction metrics, unique segmentation strategies, customer lifecycle management strategies, or loyalty programs. Results should typically show results including programs delivering better customer satisfaction metrics, retention and loyalty.
- Examples that have required an organization to change business processes to become customer focused. May include strategic marketing initiatives such as Marketing Resource Management. Results could include impacts on marketing strategy, marketing budgets and marketing metrics used to determine over all marketing effectiveness.
