Data governance is a critical initiative for many organizations who want to successfully leverage their data assets. One of the critical success factors of a data governance program is to ensure that the correct roles and teams are in place not only to manage projects and measure results, but to communicate goals and objectives throughout the organization.

Listen to this web seminar, a guide to understanding how to build a cross-functional data governance team and their role in providing more leverage from the valuable data assets in your business. Learn about the different roles played by a Data Governance Council, and how to build a Center of Excellence together with a Data Quality project team.

Hear about the successes that Oki Data Americas and Moen Incorporated both achieved in their data management strategies for SAP® ERP and SAP® CRM. Learn about the challenges that these organizations faced prior to incorporating a data quality processes into their existing solutions, and the results that they achieved by implementing a solution in diverse SAP environments.

Learn how Trillium Software enabled these leading organizations to:

• develop a data governance and information quality strategy
• implement data cleansing with fast results
• allow for re-use of data quality standards across multiple systems, business processes, and projects

Establishing an MDM program as part of an overall organizational data and information management strategy implies that senior managers believe in treating information as an enterprise asset.

The decision impacts everyone – managers, data modelers, application developers, business clients, and even customers, all of whom may need to modify their behaviors.

In this 45 minute Webcast On Demand, we explore the challenges and action steps to a successful MDM deployment: Organizational (i.e., people issues), Operational (i.e., transition and integration), and Technical (i.e., architecture, and migration).

Mastering data across any large enterprise is a massive undertaking – filled with promise but also with risk.  It impacts stakeholders from multiple business disciplines, it demands institutionalizing new processes, and it requires integration of several technologies.  Most vexing, perhaps, is the data itself: ever-changing, hard to rationalize, often misunderstood.

Success requires an intimate knowledge of your current data landscape.  Visibility into data assets across all relevant business areas enables you to craft a system that will actually work.  It will also enable you to define a series of manageable yet impactful projects that align with an overall MDM strategy.

During this web event, we’ll show you methods for:

• Analyzing the risk inherent in source systems prior to starting an MDM initiative
• Diagnosing, quantifying and explaining existing source data
• Empowering data stewards and other business users to take ownership over their data
• Preparing source data for seamless migration to the MDM repository
• Automating data improvement processes to keep your master data accurate over time
• Creating building blocks to improve your data now, with reusability in mind for within your MDM architecture

UMB Bank has hundreds of thousands of very happy customers.  How do they do it?  They proudly deliver on their mission statement: to know customers, anticipate needs, advocate and advise, innovate and surprise.

The secret to this success includes harnessing technology to build a solid foundation of high quality, integrated customer data.  With the ever-increasing volumes and complexity of customer data today, how does UMB Bank manage to succeed in delivering high quality customer data to all arms of the business?

Listen to this webinar to hear about the award-winning technology and process-driven solution UMB Bank put
in place.  Learn about their:

• Initial business and technical drivers, and where they have recognized valuable returns
• Innovative implementation and architecture
• Data governance alignment for ongoing success

This webinar by Trillium Software provides a data quality workflow, a starting point for enterprise IT projects. It also covers processes, technologies, and best practices in data quality. If you are a project manager responsible for designing and implementing data projects and programs, this is a must-see event!

You'll learn key execution points for any IT enterprise data project, including:

• How and why to involve business users in the data quality process
• A step-by-step walk-through of key data quality considerations at each project phase
• On-going assessment and monitoring of data quality
• Where and how technology can simplify data quality-related tasks throughout your enterprise project

How to Deliver Data to the Right Person, in the Right Place, at the Right Time (and in the Right Context)

Regardless of your MDM strategy or timelines, every organization will need to execute the basic steps of a data integration or data migration project. Therefore it is critical to truly understand your source data, confirm that it will ultimately support your business requirements, account for problems and anomalies that exist within the sources, and create detailed design for data integration.

During this web event, we’ll show you methods for:

    * Gaining a better understanding of source data for a MDM initiative
    * Analyzing the risk inherent in source systems prior to starting an MDM initiative
    * Understanding what’s truly in your data, for better MDM project preparation
    * Cleaning your source data for efficient MDM implementations

How to Deliver High Quality Data to Meet Your Enterprise Objectives

This web seminar is a guide to understanding how and where data quality fits within an organization, and how to gain the most benefit from data quality initiatives. This seminar also discusses valuable insights on organizations who are struggling with the challenges associated with data quality and enterprise data quality management. 

This web seminar focuses on four key topics:
- Challenges of relying on data quality within a single application
- Building blocks for effective enterprise data quality
- What to look for when selecting data quality solutions
- How to solve immediate project needs while planning to build data quality processes across the enterprise

This webinar discusses Trillium Software certified data quality solutions for SAP environments. We provide solutions for SAP Netweaver MDM, mySAP CRM, mySAP ERP, and R/3.

Data quality may have you calling for Advil as you put together an MDM strategy, whether your intentions are to implement SAP Netweaver MDM, consolidate multiple instances of existing applications, or harmonize your Master data and put in place some data governance processes to police your new master data standards. Register Now.

In this one-hour NetSeminar you will:

• Learn about our newest certification for SAP Netweaver MDM
• Learn how data quality solutions can be fully integrated into your SAP environments
• Discover how to deploy data quality within CRM, ERP and online applications
• Learn how to maintain and monitor high quality data over time

Data Quality for High Profile Enterprise Applications and Solutions

The quality of an organization’s data is the single most important factor in determining the success of both strategic and tactical solutions for MDM, Compliance and Data Governance. Orienting data quality—whether for reducing operational costs, regulatory compliance, exchanging data with partners, SAP instance consolidations, or implementing and Enterprise Services Architecture (ESA)—requires a comprehensive master data management solution. In this one-hour Webinar, learn the role that high quality data plays in delivering a single view of your customer, product and other critical information within SAP MDM and across the enterprise.

Using Data Quality Dashboards for Promoting Data Governance

Part 1 of 3, in this SAP Webinar Series

The data enrichment architecture in SAP NetWeaver MDM opens up a world of possibilities for improving processes associated with master data. 

This webinar covers the integration of best of breed data quality processes into your MDM infrastructure.  Much of the routine legwork associated with Master Data Management, whether concentrated in Customer Data Integration (CDI) or Product Information Management (PIM) applications, can be conquered more quickly and efficiently by using the time-tested business rules and automated processes of Trillium Software.

British Telecommunications, a global telecommunications company was able to establish a strategic data quality initiative, gain business sponsorship, and deliver quantifiable benefits of $800 million over time and across multiple lines of business. Like other global 100 firms with revenues in excess of $25B, BT has a complex landscape of enterprise applications and overlapping business processes that generate vast amounts of data.

Topics include:

• How to maintain high-quality data throughout your entire enterprise
• How to lower costs, reduce mistakes, improve relationships, and increase revenue with better data
• Critical success factors for BT's Information Quality program
• The proper role of business leaders in ensuring effective enterprise data management
• Where to look for savings and how to measure ROI
• What to look for in data quality solutions

This webinar highlights specific business areas that contribute to the business case for enterprise data quality and ongoing data governance.  Actual examples of measurable benefits realized in these areas are also discussed.

You'll learn key points for justifying your data quality investments, including:

• Insight and best practices for identifying business benefits in your own organization
• How to develop ROI specific to your data quality initiative
• Leveraging the experience of other organizations who have proven, measurable benefits
• Maximizing investments through reuse of current and planned solutions
   

• The building blocks for effective enterprise data quality
• Methodologies and approaches for a proven data quality strategy
• Key ROI objectives for data quality and gaining business buy-in
• What to look for in data quality solutions
• Share knowledge necessary to build data quality processes across the enterprise

We will show you customer data integration (CDI) best practices that our most successful customers have incorporated. Organizations that are in the initial stages of creating a CDI strategy and identifying a CDI infrastructure to support their single-view goals can learn a great deal from what other companies have done that has worked well for them as part of their implementation process.

By attending this web seminar, you'll take away valuable insights about how to:

• Design a great CDI solution-instead of just good
• Determine the best data to include to meet your challenging business needs
• Scope an initial CDI implementation and subsequent rollouts
• Ensure high-quality data is continually maintained
• Communicate key benefits to senior management to support your investment
• Define and demonstrate CDI success

Masterdaten will jeder sehr - doch sie zu bekommen ist gar schwer...

MDM: Versuch einer Definition:
Eine Sammlung von Prozessen und Technologien um einen konsistenten, akkuraten und unternehmensweiten Stammdatenvorrat

zu erstellen,
zu verteilen und
zu pflegen.

Viele Unternehmen, von IBM bis SAP, bieten Systeme zur Verwaltung von Stammdaten an. Bevor allerdings Stammdaten verteilt und gepflegt werden können, müssen aus den heute noch oft vorhandenen heterogenen Daten erst einmal Stamm- oder „Master“-Daten erstellt werden.

Das Erstellen der Daten ist nicht nur der erste, sondern auch der wichtigste Schritt. Ist die Grundlage nicht in Ordnung, spielen die nach gelagerten Prozesse keine Rolle mehr.

In diesem Webinar wollen wir Ihnen eine Möglichkeit vorstellen, wie auch aus Ihren Daten harmonisierte und standardisierte Master-Daten werden können. Von der Analyse des aktuellen Bestandes bis zur Entwicklung von komplexen Harmonisierungsregeln.

In this web seminar,Aberdeen Group analyst Leslie Amentdiscusses the role of high quality and accurate customer data in driving a 360-degree view of the customer. Learn how best-in-class companies overcome enterprise data challenges such as "garbage in, garbage everywhere" for enhanced decision-support, cost reductions, performance improvements and fostering a culture of customer-centricity.

Topics include:

• How you can groom your data to support these principles
• What leading companies are doing to improve data quality
• Common pitfalls in customer data management and how to avoid them
• How Trillium Software can help