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Evidence Guide: BSBXBD501 - Develop big data strategy

Student: __________________________________________________

Signature: _________________________________________________

Tips for gathering evidence to demonstrate your skills

The important thing to remember when gathering evidence is that the more evidence the better - that is, the more evidence you gather to demonstrate your skills, the more confident an assessor can be that you have learned the skills not just at one point in time, but are continuing to apply and develop those skills (as opposed to just learning for the test!). Furthermore, one piece of evidence that you collect will not usualy demonstrate all the required criteria for a unit of competency, whereas multiple overlapping pieces of evidence will usually do the trick!

From the Wiki University

 

BSBXBD501 - Develop big data strategy

What evidence can you provide to prove your understanding of each of the following citeria?

Establish business case for big data strategy

  1. Confirm organisational support for incorporating big data into overall business strategy
  2. Form multi-disciplinary team to steer development of big data strategy
  3. Identify and prioritise business needs that require big data solutions
  4. Map available data sources to identified business needs
  5. Determine financial value of applying big data solutions
Confirm organisational support for incorporating big data into overall business strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Form multi-disciplinary team to steer development of big data strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify and prioritise business needs that require big data solutions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Map available data sources to identified business needs

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Determine financial value of applying big data solutions

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Develop and review proof of concept for big data strategy

  1. Conduct trial using big data to solve prioritised business needs
  2. Compare proof-of-concept big data results to existing organisational data
  3. Identify risks and benefits of scale-up of big data solution across the organisation
  4. Document benefits and risks related to big data strategy
Conduct trial using big data to solve prioritised business needs

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Compare proof-of-concept big data results to existing organisational data

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Identify risks and benefits of scale-up of big data solution across the organisation

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Document benefits and risks related to big data strategy

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Draft and consult on big data strategy

  1. Scope big data strategy based on relevant policy issues and new and emerging technologies and platforms
  2. Draft big data strategy and its governance requirements in line with organisational requirements
  3. Seek and integrate feedback on draft strategy from key stakeholders
  4. Finalise draft strategy and distribute to required personnel
Scope big data strategy based on relevant policy issues and new and emerging technologies and platforms

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Draft big data strategy and its governance requirements in line with organisational requirements

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Seek and integrate feedback on draft strategy from key stakeholders

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Finalise draft strategy and distribute to required personnel

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Develop big data road map supporting business strategy

  1. Draft big data road map that incorporates big data policy issues
  2. Seek and integrate feedback on draft road map according to organisational policies and procedures
  3. Distribute and store final version big data strategy according to organisational policies and procedures
Draft big data road map that incorporates big data policy issues

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Seek and integrate feedback on draft road map according to organisational policies and procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Distribute and store final version big data strategy according to organisational policies and procedures

Completed
Date:

Teacher:		 Evidence:

 

 

 

 

 

 

 

Assessed

Teacher: ___________________________________ Date: _________

Signature: ________________________________________________

Comments:

 

 

 

 

 

 

 

 

Instructions to Assessors

Required Skills and Knowledge

The candidate must demonstrate the ability to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including evidence of the ability to:

develop one big data strategy for a work area.

The candidate must be able to demonstrate knowledge to complete the tasks outlined in the elements, performance criteria and foundation skills of this unit, including knowledge of:

legislative requirements relating to big data strategy, including data protection and privacy laws and regulations

organisational processes, policies, procedures and protocols to develop big data strategy, including for:

creating inventory of big data assets

seeking and integrating feedback on draft strategy

distributing and storing final version of big data strategy

organisational requirements to be reflected in big data strategy:

key factors set out in business case

potential infrastructure changes required for strategy implementation

training requirements associated with big data strategy

financial impact of big data strategy

key components of big data strategies, including requirement to ensure:

balance between availability and confidentiality of big data

support for a highly available big data management system with fault-tolerant failover services

factors to be reflected in big data strategies, including:

big data policy issues relating to security, intellectual property, governance and privacy

new and emerging technologies and platforms of relevance to strategies.