Data Integration and Quality – Helping Your BI and Data Warehousing Initiatives Succeed

Date:
Wednesday, September 16

Time:
11:00 AM CST

Presenters:

Danette McGilvray is President and Principal Consultant at Granite Falls Consulting, Inc. She is the author of Executing Data Quality Projects: Ten Steps to Quality Data and Trusted Information™ (Morgan Kaufmann, 2008) and was formerly a consultant at Genentech and the Enterprise Information Quality Program Manager at Agilent Technologies.

Overview:

If your organization is embarking on a Business Intelligence or Data Warehousing project, be sure to attend this live TDWI (The Data Warehousing Institute) webcast featuring Danette McGilvray, president and principal consultant, Granite Falls Consulting, to learn how data integration and data quality are critical in ensuring the success of your project and meeting your overall strategic business goals.

BI and data warehousing projects bring new challenges to members of the project team. Data that previously met individual business process, operational, or analytical needs must be integrated and fulfill multiple reporting requirements. Data quality issues uncovered as a result of this integration often delay project timelines and increase budgets. Join us for this live expert webcast to learn how to avoid these pitfalls and what is needed for project success.

Topics for discussion include:

• Data quality challenges resulting from data integration
• The role of tools and processes in ensuring quality
• How to incorporate data quality activities throughout your project
• How data integration and quality will help you meet strategic business decisions

Related posts:

1. SAP BusinessObjects Maintains Leadership Position in Gartner’s Magic Quadrant for Data Quality Tools for 4th Year in a Row
2. Webinar: How to Transform Flawed Data into Trusted Information
3. Webinar: Information Management 101 – Building A Solid Foundation For Business Intelligence

Ever-increasing volumes of fragmented data – if not properly managed – can lead to unnecessarily high operational costs, poor business decisions, damaged customer and partner relationships, lost business opportunities, and steep penalties for failure to comply with regulations.

Firms that pay attention to their data are the ones that will survive and thrive. Helping to ensure your organization can fully capitalize on its enterprise data, SAP BusinessObjects Entrerprise Information Management (EIM) solutions combined with the master data management and information life-cycle management capabilities support the infrastructure requirements of your enterprise information management strategy. The combined EIM solutions from SAP BusinessObjects address the trusted data requirements of your operational and analytic initiatives, and support the data governance process that enables these initiatives. It helps you create a strategic information management vision while transforming your data into competitive advantage.

SAP BusinessObjects enterprise information management solutions provide comprehensive information management functionality that can help you deliver integrated, accurate, and timely data – both structured and unstructured – across your enterprise. These powerful solutions can empower you to provide trusted data for key initiatives such as business transaction processing, business intelligence, data warehousing, data migration, and master data management.

Our webcast will show you how these solutions and a comprehensive information management strategy can help you avoid the pitfalls that arise from inaccurate data.

Related posts:

1. Webinar: How to Transform Flawed Data into Trusted Information
2. Webinar: TDWI Webcast on Data Integration and Data Quality
3. Webinar: Business Intelligence For Oracle, Peoplesoft, JD Edwards and Siebel Applications

• Kristin McMahon, Product Marketing Manager at SAP Business Objects

Overview:

When implementing operational systems, whether enterprise resource planning, customer relationship management, or other transactional systems, it’s essential to connect the dots between new and existing data. As raw data enters operational systems, organizations must execute on a data management strategy that adds value and integrity to the data set. This is accomplished in part by ensuring data accuracy and completeness – not only at the point of entry, but through the entire information supply chain. With information management processes in place at the operational system level, all downstream activities, such as data warehousing and analytical reporting, will be able to treat data as a true corporate asset.

Attend this webinar to learn how SAP BusinessObjects information management software plays a critical role in building data management best practices into operational systems to alleviate the challenge of data expansion.

Key Topics:

• Integrate information management tools at the onset of any solution implementation to identify and resolve data concerns before going live
• Ensure data in your sales, marketing, service, or back-office systems remains accurate, complete, and consistent
  Leverage information management processes within your systems to centrally manage business rules and monitor data on an ongoing basis
• Maximize your investment in operational systems by increasing the value of your largest asset – your data.

Related posts:

1. Webinar: Information Management 101 – Building A Solid Foundation For Business Intelligence
2. Webinar: TDWI Webcast on Data Integration and Data Quality
3. SAP BusinessObjects Maintains Leadership Position in Gartner’s Magic Quadrant for Data Quality Tools for 4th Year in a Row