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Understanding product delivery

Product delivery involves ensuring that a product or service is developed in a timely and cost-effective way, meeting the user needs.

Dikutip dari UK GDaD PCF.

Tingkat

1. Kesadaran

You can:

  • manage your contribution to tasks to fit in with the work of your wider team
2. Menerapkan

You can:

  • show an awareness of the differences between delivery methods, such as Agile and waterfall, and can propose the most appropriate method to deliver each product
  • manage your contribution to tasks to fit in with the work of your wider team
3. Praktisi

You can:

  • understand the differences between delivery methods, such as Agile and waterfall, and can choose the most appropriate method to deliver each product
  • define the minimum viable product (MVP) and support decisions about priorities
  • work with specialists in multidisciplinary teams to smoothly deliver data science products into the organisation
4. Pakar

You can:

  • understand the differences between delivery methods, such as Agile and waterfall, and can set out how your team should use and adapt these methods
  • lead a team through the different phases of the product delivery life cycle
  • collaborate with the product manager to influence the direction of work
  • identify and involve relevant teams to smoothly deliver data science products into the organisation, ensuring these products inform decision making
  • ensure products are monitored, maintained and continually improved, engaging and working with others where necessary
  • have oversight of any data science features implemented within products or services

Contains public sector information from the UK Government Digital and Data Profession Capability Framework (https://understand-digital-data-roles-skills.service.gov.uk/), licensed under the Open Government Licence v3.0. © Crown copyright.

Keterampilan ESCO terdekat

Contains ESCO v1.2.1 data (https://esco.ec.europa.eu/). © European Union. Reuse authorised under Commission Decision 2011/833/EU.

Tingkat peran yang mengharapkan keterampilan ini

Tingkat peranPeranPitaTingkat yang diharapkan
Ilmuwan data pemagangIlmuwan data4Kesadaran
Ilmuwan data asosiatIlmuwan data5Menerapkan
Ilmuwan dataIlmuwan data6Praktisi
Ilmuwan data utamaIlmuwan data7Praktisi
Ilmuwan data pimpinanIlmuwan data8aPakar
Kepala ilmu dataIlmuwan data8bPraktisi