We Create (x) byte of data every day
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Raw Data
Encompasses structured, semistructured and unstructured information
Low Value
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Optimised Data
Data has volume (hundreds of petabytes), encompasses velocity (very high speed of storage and analysis), variety (multiple types and sources) and veracity (high quality and trustworthiness)
Create Incremental Value
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Analysed Data
an be transformed into intelligence to generate value through Analytics technology, tools and skills including (AI) and machine learning (ML)
Create Significant Value
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New value Data
To create new value in various ways, including interacting with customers, building new products, improving customer service
Amplified Value
The FOUR V’s of Big Data
Data Driven Decision Making
Source: PwC analysis
Value generation Data Life Cycle
From a functional analysis perspective, various activities are required to be performed to create value from big data, although platform and analytical tool development and other stages are often a precursor.
Capture
User and user behaviour data can be captured by online platforms such as social media websites, various online applications and messaging services.
Transform your data into Insights
to drive your business
Source:
1. PwC Big data : A transfer pricing perspective