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Data Modeling Research

  • Improving Data Quality Through Data Modeling

    Sponsored by: CA ERwin from CA Technologies

    Enterprise data is largely falling short of a standard that makes it possible to utilize in how business will be conducted in the next decade. Most enterprise data is “adequate” for basic operational needs today. Download this paper to learn how to get the most out of your enterprise data.

  • Ten Things to Avoid in a Data Model

    Sponsored by: CA ERwin from CA Technologies

    The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid - from both the strategy and detail perspective.

  • Sybase IQ Powers Predictive Analytics

    Sponsored by: Sybase, an SAP company

    Sybase IQ is a market-leading analytics server which enables organizations to perform deep analysis of massive amounts of data, accessed by multiple users requiring answers in real time.

  • IBM InfoSphere DataStage Performance and Scalability Benchmark White Paper 

    Sponsored by: IBM

    This paper highlights the performance and scalability potential of InfoSphere DataStage 8.1 based on a benchmark test simulating a data warehouse scenario. The benchmark is designed to use the profiled situation to provide insight about how InfoSphere DataStage addresses customers' key FAQs when designing their information integration architecture.

  • Help Alleviate Batch Windows with Reliable, Timely Data Delivery

    Sponsored by: IBM

    This paper examines the business issues that drive organizations to consider a real-time change data capture solution to optimize ETL processes. This helps alleviate batch windows to enable the delivery of timely, trusted information to the business.

  • Information-led Transformation Planning, Modeling and Building New Intelligence Applications

    Sponsored by: IBM

    This white paper discusses: What is an industry model? What is the value of industry models? Considerations for building or buying data models IBM Industry Models—business and technical blueprints Reducing time to value with IBM Industry Models

  • SAP CRM Rapid Deployment Solution

    Sponsored by: SAP America, Inc.

    See how the SAP CRM Rapid Deployment Solution – helps organizations to get essential CRM capabilities, quickly at an affordable price and provides customers options to grow as their businesses grow

  • Presentation Transcript: Visualize the Power of Your Data

    Sponsored by: CA ERwin from CA Technologies

    Growing data volumes, diverging data sources, amplified information complexity, and increasingly varied users have made it difficult to take advantage of data as a true corporate asset. In this transcript featuring industry thought leader David Loshin, learn how to turn data complexity into an information advantage.

  • New Intelligence for a Smarter Planet for CIOs

    Sponsored by: IBM India Pvt. Ltd

    How do we make sense of rapidly growing amounts of business data? IBM is helping CIOs take control of their data and turn it into not just organized information, but actionable intelligence. Access this video to learn more.

  • Improving Data Quality Through Data Modeling

    Sponsored by: CA ERwin from CA Technologies

    Explore with William McKnight the factors involved and how organizations should go about valuing data quality through modeling and taking the right steps to remediate data quality defects throughout the enterprise.

  • Ten Things to Avoid in a Data Model

    Sponsored by: CA ERwin from CA Technologies

    The construction of a data model is one of the more difficult tasks of software engineering and is often pivotal to the success or failure of a project. Many factors determine the effectiveness of a data model. In this white paper, industry expert Michael Blaha covers the Top 10 pitfalls to avoid — from both the strategy and detail perspective.

  • ERwin® in the Cloud: How Data Modeling Supports Database as a Service (DaaS) Implementations

    Sponsored by: CA ERwin from CA Technologies

    Learn how Data Modeling supports cloud computing since interaction among the Cloud Service Provider, Cloud Administration and Customer needs to include a well thought out data architecture before a DBMS designed offering in cloud computing is deployed. Continue reading to learn more.

  • Oracle Introduces Oracle Communications Data Model

    Sponsored by: Oracle Corporation

    Listen to this podcast to hear Tony Velcich, from Oracle’s Communications Product Management team, discuss the benefits of this solution.

  • Accelerating Application Deployment with InfoSphere Foundation Tools

    Sponsored by: IBM

    Despite criticism of application development methodology over the years, some fundamental problems haven’t been addressed successfully. This paper examines a new direction supported by the IBM InfoSphere Foundation Tools. These tools provide a coordinated approach well-suited to the special needs of contemporary information-centric development.

  • Get Analytics Right from the Start

    Sponsored by: Sybase, an SAP company

    Whether or not analytics should become an integral part of an organization’s planning and decision-making seems to be beyond question However, at what level, for what purpose and how to go about deploying analytics are questions that each organization needs to answer for itself. These questions are the focus of this paper.

  • The Benefits of Data Modeling in Business Intelligence

    Sponsored by: CA ERwin from CA Technologies

    Through data modeling of BI systems, we can meet many of today’s data challenges. Through logical and physical modeling of business intelligence systems, we can enable the delivery of the correct business information to business users. Read this paper to learn more.

  • Driving Strategic Planning with Predictive Modeling

    Sponsored by: Oracle Corporation

    Uncertainty makes strategic planning complex. Removing uncertainty can create unlimited business value. There are solutions to help organizations overcome uncertainty and achieve results. Read this white paper to learn how to drive strategic planning with predictive modeling.

  • Applying Business Analytics Webinar Series - Confident Predictions. Accurate Results.

    Sponsored by: SAS

    Learn how to easily gain profitable data mining results in less time and improve accuracy and usefulness of analytical models during this Webinar. You’ll find out how to deliver precise and confident results, manage and improve model performance, and derive and share insights to improve the quality and precision of your decisions.

  • Applying Business Analytics Webinar Series - Got Bad Data? Part 3

    Sponsored by: SAS

    Tune in to this Webinar to find out how data quality influences the effectiveness of predictive analytics and forecasting. You’ll learn how to go beyond name and address matching to realize the potential of numerical data quality, how to overcome insufficient yet relevant data from your predictive and forecasting models, and more.

  • Top 10 Data Mining Mistakes

    Sponsored by: SAS

    In the following paper, we briefly describe, and illustrate from examples, what we believe are the “Top 10” mistakes of data mining, in terms of frequency and seriousness. Most are basic, though a few are subtle. All have, when undetected, left analysts worse off than if they’d never looked at their data.

  • Replication for Dummies

    Sponsored by: Sybase, an SAP company

    IT organizations face many data challenges. Data distribution rates and the quantity of data that consumers use is expanding exponentially in the global marketplace. Read this e-book to gain an understanding of the Sybase Replication Server and learn a series of best practices to consider when implementing a database replication strategy.

  • Fast-Tracking Data Warehousing & BI Projects via Intelligent Data Modeling

    Sponsored by: Embarcadero Technologies, Inc.

    At the core of any BI should be the ability to align business needs with the data infrastructure supporting them. This is almost impossible to do without a data model. Yet many BI implementers do not understand the need for these design components. This paper will examine the major benefits that data models have on BI environments.

  • Presentation Transcript: The Power of Universal Patterns and Models for Master Data Management

    Sponsored by: Embarcadero Technologies, Inc.

    In this presentation transcript featuring best-selling author, Len Silverston, learn how to implement universal patterns for data modeling to improve management flexibility. Gain insight into various modeling choices to meet your organization's needs. Discover how to improve quality and reduce management costs by re-using patterns.

  • Full Demo: IBM Cognos 8 Business Intelligence

    Sponsored by: IBM

    Complete capabilities in one product, on a single architecture. See key features for both business and IT users, including Framework Manager, the Administration Console, and integration with Microsoft Excel.

  • Competitive Analysis of Market Leaders in Data Modeling: PowerDesigner, ERwin and ER/Studio

    Sponsored by: Sybase, an SAP company

    Read this paper to learn all the factors you need to consider when choosing a data modeling tool. You will learn about the different model types and how each tool measures up to the demanding needs of your company today and in the future. This paper will lay out all the information you need to make a clear decision on data modeling today.

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