NTISthis.com

Evidence Guide: BSBXBD406 - Present big data insights

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

 

BSBXBD406 - Present big data insights

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

Prepare to present big data insights

  1. Confirm business requirements for presenting big data insights
  2. Determine context and target audience for presentation
  3. Identify required big data relevant to business requirements
Confirm business requirements for presenting big data insights

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Determine context and target audience for presentation

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify required big data relevant to business requirements

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Develop presentation of big data insights

  1. Create and test proof of concepts for presenting identified business solution
  2. Identify key features and trends of captured big data in context of purpose and intended audience of presentation
  3. Generate big data models based on key performance indicators for big data presentation
  4. Produce interactive dashboards and other models that visualise identified data insights
Create and test proof of concepts for presenting identified business solution

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Identify key features and trends of captured big data in context of purpose and intended audience of presentation

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Generate big data models based on key performance indicators for big data presentation

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Produce interactive dashboards and other models that visualise identified data insights

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Finalise presentation of big data insights

  1. Present big data to required stakeholders in a format that meets business needs
  2. Seek feedback from required stakeholders on presented big data according to organisational policies and procedures
  3. Integrate feedback into big data presentation
Present big data to required stakeholders in a format that meets business needs

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Seek feedback from required stakeholders on presented big data according to organisational policies and procedures

Completed
Date:

Teacher:
Evidence:

 

 

 

 

 

 

 

Integrate feedback into big data presentation

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:

present the insights obtained from two different sets of big data using interactive dashboards and other models that serve to best visualise the insights.

One of the above sets must be transactional big data and one must be non-transactional.

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:

importance and benefits of big data presentation

strategies for determining requirements for presenting big data, including analysis of business areas that need improvement

methodology for conducting exploration and discovery of new and big data, including:

visualisation software to combine data from various sources to drive better business insights

business intelligence tools to discover and present hidden insights in data sets

structured, semi-structured and unstructured big data visualisation tools and techniques

organisational policies, procedures and protocols relating to presenting transactional and non-transactional big data insights, including:

using statistical graphs, plots, and information graphics to communicate big data insights

seeking feedback from stakeholders on presented big data

in-house and external sources of big data

appropriate methods and tools for creating and representing big data reports, including:

charts

heat maps

scatterplots

dashboards

interactive maps

real-time data

design approaches for visualising big data, including key performance indicators for the big data presentations in the performance evidence

dashboard design principles, including audience, context and aesthetics.