Data Quality & Governance Summit

About

Regardless of what your organisation’s goals are, data quality and governance remains an important topic to help drive accurate analysts and better overall decision making. Our inaugural data quality features a full day of case studies from organsiations like Wel Networks and Waikato DHB.

Featuring: Tracmap, winner of the best Emerging Company at the 2010 HiTech Awards on it successes in the area of data quality. We would like to thank SAP New Zealand for being our Platinum Sponsor on both days.

Agenda

Agenda: Day 1

8.30

Registration & Coffee

9.00

Opening remarks from the Chair

Roger Oed, Asset Information Manager, WEL NETWORKS

9.10

The Role of IT in Creating and Maintaining Data Quality

In this opening presentation, we examine how IT can enable and support data quality and integrity within the organisation, what the limitations are and new tools on the horizon to assist.
• The role of IT and Business Intelligence teams in improving the data quality process
• Making clear the limitations of IT and sticking to the limits
• How the new wave of tools can help improve data quality and consistency

Carl Harris, Solution Architect - Business Intelligence, SAP NEW ZEALAND

10.00

Does Data Quality Pay Dividends?

Do senior managers care about data quality? Research about data quality from the perspective of an executive manager is presented and a number of issues are considered.
• What are their drivers for data quality?
• Bridging the great divide between executives and technical professionals
• Experiences at WEL Networks Ltd

Roger Oed, Asset Information Manager, WEL NETWORKS

10.50

Morning tea

11.10

Panel Discussion: How Good IT Governance Can Assist in the Information Streamlining Process

Understanding that good IT Governance means ensuring good data governance, we discuss our organizations can understand initiatives to create more streamlined data governance processes. We explain the successes (and pitfalls) of applying various models to various organisations.
• Models of data governance
• Why good IT governance is linked to good data governance
• Helping streamline business processes to accommodate everybody
• Working to solve the issue and avoid internal conflict between IT departments and end users

Igor Albornett, Integration Team Lead, POWERCO
Perry Woolley, Director, KPMG
Further panellists to be confirmed.

12.00

Case Study: Ensuring Business Continuity in Your Data Processes

Population Health, Waikato DHB, is charged with achieving health gain while working alongside the community, which requires the collation and analysis of quality data to ensure services are directed to areas of highest health need. In this case study, we examine our population health projects, the importance of maintaining data quality and how we develop processes to ensure data is accurate.
• Key issues when thinking about data quality
• Ensuring data quality is maintained
• Lessons we’ve learnt

Nova Caie, GIS Analyst, Population Health

12.50

Lunch

1.40

Case Study: Aligning and Prioritising Data Quality Management Towards Your Organisation’s Needs

As a utility company, Powerco does a good deal of work in data quality management and improvement based on business value. In this case study presentation we will share more about our data quality processes and tools used to identify, correct and prioritise data quality based off our organisation’s needs.
• What does data quality mean and why does it matter for us?
• Managing and prioritising data quality requests
• Continuing development of your data quality process

Igor Albornett, Integration Team Lead, POWERCO

2.20

Case Study: Linking Better Data Quality with More Efficient Farming Processes

In this presentation Tracmap will share the successes its had with its GPS and data systems and why it not only allows farmers to operate more safely and efficiently when in challenging and difficult environments, but how its unique approach to managing data has provided a robust and simple solution to “proof of placement” reporting. They will also also cover why they have been named the best Emerging Company at the 2010 HiTech Awards.

Colin Brown, Managing Director, TRACMAP NZ LTD

3.10

Afternoon tea

3.30

Case Study: Linking Information Processes to the Bigger Picture

As New Zealand’s leading electronic payments provider Paymark processes about 75% of all electronic transactions in New Zealand. In this case study presentation, we cover the processes and technology that enables our data to be considered a ‘real time economic barometer’ by many including the Reserve Bank of New Zealand.
• Why Paymark has some amazing economic data
• What this data can tell us about the economy
• Data examples and translation into what this tells us about NZ
• Showing how your data is related to your organisation

Ben Robinson, CIO, PAYMARK LTD

4.15

Pro-active Data Auditing and Data Quality Benchmarking

The data auditing is one of the core processes where data quality is measured and benchmark. We examine how the data auditing process can help draw attention areas that need to be explored and how to ensure the data auditing process can be applied through out the organisation.
• Audit Methodology: Planning, indentifying, class assessment and reporting
• Creating benchmarkable audit results
• Providing recommendations that will drive better data quality processes

Chandan Ohri, Partner - IT Advisory, KPMG

5.00

Closing remarks by the Chair and Networking Drinks

Sponsors/Partners

Interested in sponsorship?

There are some exclusive opportunities to promote your company, and its products and services, at this leading event. Contact the sponsorship team below to request a prospectus or discuss the options, or view more about event sponsorship.