Trillium Software

Displaying 1-14 of 14 results

  • White Papers // Jun 2011

    Organizing for Enterprise Wide DQ Improvement

    Data quality has matured. In its early days the focus of efforts to improve the quality of data in organizations was predominantly tactical. Usually a specific data quality (DQ) problem was identified and a project initiated and delivered to resolve or ameliorate it. Examples include improving a customer marketing list,...

    Provided By Trillium Software

  • White Papers // Jun 2011

    Reach For the Top: Selling Data Quality to Senior Executives

    I have worked in data quality (DQ) for over 15 years. In that time I have talked to many DQ practitioners and others who are trying to persuade their organizations to recognize that DQ improvement is worth investing in. In these discussions one common theme often emerges. Although the benefits...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Getting the Data Right

    Take control of your organization's data quality. Discover how to design, develop and deploy reusable and consistent data quality processes for all your operational systems. By applying a solution and best practices to find and fix data quality problems at the source, your organization can: Reduce subsequent project delays...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Data Governance

    Poor data in your business applications often originates from data quality problems in upstream operational systems. That's why it's critical to establish a Data Governance initiative to set standards, improve quality, and monitor how data supports business processes moving forward. Learn how Digital River successfully implemented Data Governance across their...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Building the Business Case

    Often times, presenting a coherent business case and obtaining senior management approval often stands in the way of improving data quality and successfully implementing an MDM solution. Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Tips, Tools, & Best Practices

    To achieve Operational Data Quality (ODQ), business and data professionals have to define, develop, and deploy reusable data and business rules to ensure consistency and accuracy across platforms. At the same time, you have to maintain performance and through-put of real-time transactions. Learn how to deliver high performance data quality...

    Provided By Trillium Software

  • White Papers // May 2011

    Data Quality for BASEL II

    Today large, complex financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This BASEL II solution delivers a data quality process management platform and domain expertise to support the rigorous demands of commercial and retail risk reporting and attestation. The...

    Provided By Trillium Software

  • White Papers // May 2011

    Where is Your Risk?

    As insurers strive to create an enterprise view of risk, they struggle to combine information from disparate systems, applications, and business units. By developing a strategy and a process that incorporate geocodes into location intelligence, insurers can build a more accurate assessment of their exposure and risk. Learn how...

    Provided By Trillium Software

  • White Papers // May 2011

    Information Quality Management (IQM): Assessing Your IQM Practice

    Organizations are starting to make the connection between making information available for consumption and leveraging it to be more agile and productive. Data is more than just an outcome of a business process; it should inform and drive the business. Organizations need to better link business process and performance management...

    Provided By Trillium Software

  • White Papers // May 2011

    TDWI Checklist Report: Operational Data Quality

    Failing to ensure high-quality operational data may put at risk many worthwhile business goals for operational excellence. There are many areas within the average enterprise where high-quality operational data contributes to operational excellence such as clean and auditable financial data for regulatory reports, standards for data-driven processes like claim processing...

    Provided By Trillium Software

  • White Papers // May 2011

    Creating a Single Customer View: The Importance of Data Quality for CRM

    Effective CRM demands the creation of a single, complete, accurate view of customer information that includes purchasing history, product interest, and recent support interactions. Competitive companies leverage single, trusted views of customers to drive improvements in product positioning, customer service and support, customer retention and life-time value. In today's connected...

    Provided By Trillium Software

  • Webcasts // May 2011

    Best Practices for Information Quality Management

    To achieve your business goals and objectives, you must first optimize the information that supports all of your business processes. Implementing an Information Quality Management practice and applying Trillium Software's proven best practices will help you maximize the value you get from your information. Apply our Information Quality Maturity...

    Provided By Trillium Software

  • Webcasts // May 2011

    The Perfect Couple: Business Process and Data Management

    There's no love lost between those responsible for your critical business processes and your data management efforts. Typically, their paths never cross and if they do, the relationship is plagued by miscommunication and misguided goals. Why is it important for these groups to be aligned and how do you...

    Provided By Trillium Software

  • White Papers // Jul 2010

    Connecting the Dots - Using Data Quality to Achieve Your Business Goals

    Data quality management does not happen by accident. Successful enterprises know the crucial steps necessary to build and sustain data quality programs, and very often these same enterprises are acutely aware of the inter-relationship between data quality and business outcomes. The real goal of data quality management is to instill...

    Provided By Trillium Software

  • White Papers // May 2011

    Data Quality for BASEL II

    Today large, complex financial services institutions must meet the standards for data quality attestation by the FFEIC regulators of risk reporting. This BASEL II solution delivers a data quality process management platform and domain expertise to support the rigorous demands of commercial and retail risk reporting and attestation. The...

    Provided By Trillium Software

  • White Papers // May 2011

    Where is Your Risk?

    As insurers strive to create an enterprise view of risk, they struggle to combine information from disparate systems, applications, and business units. By developing a strategy and a process that incorporate geocodes into location intelligence, insurers can build a more accurate assessment of their exposure and risk. Learn how...

    Provided By Trillium Software

  • White Papers // May 2011

    Information Quality Management (IQM): Assessing Your IQM Practice

    Organizations are starting to make the connection between making information available for consumption and leveraging it to be more agile and productive. Data is more than just an outcome of a business process; it should inform and drive the business. Organizations need to better link business process and performance management...

    Provided By Trillium Software

  • White Papers // May 2011

    TDWI Checklist Report: Operational Data Quality

    Failing to ensure high-quality operational data may put at risk many worthwhile business goals for operational excellence. There are many areas within the average enterprise where high-quality operational data contributes to operational excellence such as clean and auditable financial data for regulatory reports, standards for data-driven processes like claim processing...

    Provided By Trillium Software

  • White Papers // May 2011

    Creating a Single Customer View: The Importance of Data Quality for CRM

    Effective CRM demands the creation of a single, complete, accurate view of customer information that includes purchasing history, product interest, and recent support interactions. Competitive companies leverage single, trusted views of customers to drive improvements in product positioning, customer service and support, customer retention and life-time value. In today's connected...

    Provided By Trillium Software

  • Webcasts // May 2011

    Best Practices for Information Quality Management

    To achieve your business goals and objectives, you must first optimize the information that supports all of your business processes. Implementing an Information Quality Management practice and applying Trillium Software's proven best practices will help you maximize the value you get from your information. Apply our Information Quality Maturity...

    Provided By Trillium Software

  • Webcasts // May 2011

    The Perfect Couple: Business Process and Data Management

    There's no love lost between those responsible for your critical business processes and your data management efforts. Typically, their paths never cross and if they do, the relationship is plagued by miscommunication and misguided goals. Why is it important for these groups to be aligned and how do you...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Getting the Data Right

    Take control of your organization's data quality. Discover how to design, develop and deploy reusable and consistent data quality processes for all your operational systems. By applying a solution and best practices to find and fix data quality problems at the source, your organization can: Reduce subsequent project delays...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Data Governance

    Poor data in your business applications often originates from data quality problems in upstream operational systems. That's why it's critical to establish a Data Governance initiative to set standards, improve quality, and monitor how data supports business processes moving forward. Learn how Digital River successfully implemented Data Governance across their...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Building the Business Case

    Often times, presenting a coherent business case and obtaining senior management approval often stands in the way of improving data quality and successfully implementing an MDM solution. Hear Andy Hayler from the Information Difference discuss these challenges as he presents the findings of his research report, "Building a Robust Business...

    Provided By Trillium Software

  • Webcasts // May 2011

    Operational Data Quality - Tips, Tools, & Best Practices

    To achieve Operational Data Quality (ODQ), business and data professionals have to define, develop, and deploy reusable data and business rules to ensure consistency and accuracy across platforms. At the same time, you have to maintain performance and through-put of real-time transactions. Learn how to deliver high performance data quality...

    Provided By Trillium Software

  • White Papers // Jun 2011

    Organizing for Enterprise Wide DQ Improvement

    Data quality has matured. In its early days the focus of efforts to improve the quality of data in organizations was predominantly tactical. Usually a specific data quality (DQ) problem was identified and a project initiated and delivered to resolve or ameliorate it. Examples include improving a customer marketing list,...

    Provided By Trillium Software

  • White Papers // Jun 2011

    Reach For the Top: Selling Data Quality to Senior Executives

    I have worked in data quality (DQ) for over 15 years. In that time I have talked to many DQ practitioners and others who are trying to persuade their organizations to recognize that DQ improvement is worth investing in. In these discussions one common theme often emerges. Although the benefits...

    Provided By Trillium Software

  • White Papers // Jul 2010

    Connecting the Dots - Using Data Quality to Achieve Your Business Goals

    Data quality management does not happen by accident. Successful enterprises know the crucial steps necessary to build and sustain data quality programs, and very often these same enterprises are acutely aware of the inter-relationship between data quality and business outcomes. The real goal of data quality management is to instill...

    Provided By Trillium Software