Data Governance. Managing data as an asset

Transcription

1 Data Governance Managing data as an asset

2 Agenda Data Governance Valuing Data as an Asset Improving Data Quality Future Thoughts

3 Data Governance is a set of processes that ensures that important data assets are formally managed throughout the enterprise. ensures that data can be trusted it may be utilised by the entire organisation

4 Drivers for Improved Data Governance Open government data initiatives Single customer view Mergers & acquisitions Business process alignment Compliance

5 Data Governance

6 Governance Roles Stewardship is the act of ensuring that appropriate data management policies and standards are developed and maintained on behalf of the Crown. Stewardship covers all aspects of managing spatial information. This includes data architecture, quality, metadata, pricing, licensing, access and dissemination, bearing in mind any statutory responsibilities and government data management policies. Custodianship of spatial information is the act of ensuring appropriate care in the collection, storage, maintenance and supply of the information.

7 Why should Senior Executives care about Data Quality?

8 Some Facts!

9 Valuing Data as an Asset

10 In 2008, the use and re-use of spatial information is estimated to have added $1.2 billion in productivityrelated benefits to the New Zealand economy. ACIL Tasman 2009

11 Business impacts adding up the costs

12 Spatial Data Infrastructure Building a Business Case

13 Benefits Categorisation

14 It s all about the map!

15 Improving Data Quality

16 Framework - Maturity Model Critchlow Geospatial Information Maturity Model

17 Benchmark - the result can be very simple

18 Data Issues Example of Customer Data Quality Issue A Simple Customer Table Sample Matching Records Incorrect addresses Non Standard formats Name Address Suburb City Postcode Phone Bob Williams 36 Jones Avenue Milford Auckland bob.williams@yahoo.com Robert Williams 36 Jones Av. North Shore Burkes, Mike and Ilda 38 Jones av. Takapuna AKL mburkes@gmail.com Jason Bourne, JBS Ltd. 76 King st Takapuma Nth Shore Multiple Names Mis-fielded data Mixed business and contact names Typos Missing Data

19 Energy Australia - Case Study Case Study Driving efficiency with address validation and geocoding Integrated solutions for addressing and resolving information quality issues

20 The business challenges the the property property address address and and the the billing billing address address are are often often different different

21 power meter location was difficult to establish exact location of utility address points known as ICPs were difficult to pinpoint

22 Reliance on field staff to enter data (which was often inaccurate or incomplete)

23 The solution Energy Australia maintains a database of their customers, power meters and ICPs. They selected IQ Office to: Perform batch address cleansing to determine the right address and match the power meters they install to the contact details contained in the customer database; and Validate customer billing and property address details at point-of-entry; and Match customer address details at point-of-entry to their own customer utility address points, ICPs Use the parsing, standardisation, matching and geocoding capabilities of IQ Office to validate and enhance address data that is vital to EA s day-today operations.

24 The results Significantly reduced time and costs associated with incorrect data Significantly increased the speed and ability to match customer addresses to NMIs Reduced call centre costs because over 95% of addresses can be captured with as few as 8-12 keystrokes Reduced the time spent by service delivery personnel because they now go directly to the correct sites Increased overall effectiveness and efficiencies of customer service delivery.

25 Web Services / Spatial Data Quality

26 Future Thoughts

27

28 Live reports from across the country NeatStreets Server Blackberry A live report arrives Android GPS tag is associated with a Geo-poly iphone Responsible Authority RA is notified Responsible Authority (RA) By notification or by Web service accessed remotely by authority asset systems or GIS systems

29 NAVTEQ 3D Enhanced City Models DATA FEATURES Realistic model of building shapes without distortion of imagery This content is delivered as an external file. Enhanced 3D City Models integrate other content including: Lane Markings and Dividers Features like parks, water, bridges and tunnels Enhanced 2D Footprints DESCRIPTION 3D City Models with new application of realistic texture and colors applied to unique buildings with a concentration on street level Improves consumer guidance, experience and orientation in unfamiliar or complex situations by making relevant buildings and street level representation more realistic

30 NAVTEQ Traffic Patterns DESCRIPTION NAVTEQ Traffic Patterns is an Australian database with typical traffic speed information based on multiple years of vehicle speed observations. Traffic Patterns enables: Optimal departure time planning Accurate prediction of Estimated Time of Arrival Efficient routing around typical congestion DATA FEATURES Traffic Patterns is a database of likely patterns by day of the week and time of day. Patterns are available in hourly or fifteen minute increments Each pattern is referenced to Navteq map via TMC codes or link ID Pattern available 7days a week in 15 minute increments for both TMC and Link model. COVERAGE 100% TMC coverage Australia and New Zealand road network coverage using link model in Australia and New Zealand

31 Quality / Fit for Purpose?

32 Thank You