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UCOVI at a glance

Data and smart use of it have the potential to provide limitless commercial and social value. Yet many organisations - despite more than adequate resource and time invested - are set back by data quality issues, technical debt, and labour-intensive reports that give out irrelevant, contextless or conflicting numbers.

So how should a business engage with its data? The UCOVI methodology distills it into a sequence of five steps:

  1. Understand the data you have, the data you don't have, and the data you need.
  2. Collect the data you need in the most efficient way available.
  3. Organise the data you have collected reliably, cleanly and securely.
  4. Visualise the data you have organised impactfully to show the key trends and explore further.
  5. Interpret the trends you discover in a way that leads you to the correct decision.

UCOVI as the paradigm for the complete data professional

When building either your own data career or a well-balanced and cohesive data team, you will be met with two sources of confusion. First, a wide range of job descriptions used lazily and interchangeably, and second, a frankly bewildering choice of competing technologies, tools, and programming languages to upskill in.

The five elements of UCOVI help with both: they each act as discipline buckets into which technologies and specific skills can be grouped, while also simultaneously being the building blocks on which the various job roles in data - in their precise senses - are built on.

UCOVI is a clean and approachable point of reference to show exactly you where you fit into the ecosystem of data, and sign-post the learning path you should be taking to fulfill your career ambitions.

Complete Data Professional (what a business secretly expects of a Data Analyst)
CDO or Data Governance Strategist
Report Designer
Data-savvy business stakeholder
Data Engineer
Business Analyst
(How businesses see Data Analysts)
BI Developer
Data Scientist

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