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CDMT Data Quality Analyst – Graduate Diploma

The CDMT Data Quality Analyst – Graduate Diploma is split into 3 different pillars which allows users to start at the beginner level, where they start to understand the basics of what being data quality analyst involves, and work their way up to the advanced level which will give them a firm understanding of all areas around data quality analysis.

This means users with no prior knowledge around the topic can start training at a pace that suits them. See below to find out more information about the different pillars.

Data Quality Analyst – Beginner

The Data Quality Analyst – Beginner pillar starts by providing an overview of what data management is and why it is important for an organisation to effectively manage the data they hold. The pillar then proceeds to explore how data quality assessment & control is used to improve the organisation’s management of data.

Following this we learn what critical data is and how this critical data will be documented in the CDE data standard. We explore why critical data is important, why it is required to be of high quality and how the actions which are needed to maintain this quality will be documented.

The pillar then goes on to explain some of the common techniques used when trying to improve the quality of data in an organisation. The process of profiling the data to see the level of quality along with the creation of data quality rules to assess the quality of data are some of the areas explained. The pillar also explains some of the methods used by organisations to fix the quality of poor data which has been identified. Techniques such as data transformations and standardisations along with the use of data quality domains is detailed.

All of this will help users get a clear understanding of what is needed to be a data quality analyst by understanding how poor data quality needs to be identified and fixed.

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Data Quality Analyst – Intermediate

The Data Quality Analyst – Intermediate pillar starts by giving users a better understanding of the data and processes they would be working with. It explains why it important to identify the organisations critical data and business processes, along with why it is important to prioritise these in terms of importance as these will be the ones focused on when trying to improve the quality of data.

It is important for a data quality analyst to know where all the data they will be working with is being held, so the pillar describes how organisations use data modelling and models along with data lineage, to better understand where and how their data is kept. This is all important for data sourcing, which is crucial for a data quality analyst to have a good understanding in, as a key area for data quality analysis getting the data from the right areas of the business correctly.

The pillar also describes how users can use analysis techniques such as data relationship discovery and data dependency analysis to identify any data quality issues that need to be addressed. This all leads on to root cause analysis, which will help users understand the importance of finding and fixing the root cause of the problem to help permanently fix data quality issues.

The pillar then finishes by detailing how data quality issues management is used for the consistent capture and reporting of data quality issues, and then how data management incentivisation can be used to help the whole organisation work together to achieve better data quality.

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Data Quality Analyst – Advanced

The Data Quality Analyst – Advanced pillar starts of by explaining what data governance and data understanding are and why they are important. The pillar also helps users understand what data ownership is and who is responsible and accountable for the data they need to fix.

The pillar goes into finer details which would be useful for data quality analysts around data understanding such as data keys and how anyone in an organisation can use a business glossary to easily get a better understanding of what the data held by the organisation is and the processes it is involved in.

The pillar also details how data quality analysts can use data lineage testing and auditing to find problems with how data is stored and used within the organisation.

As fixing data quality problems may also require the data quality analyst to recommend, design, implement and monitor quality procedures for use in the data production process, the pillar details how processes and procedures, process flow documentation, lean methodology, solution design, back book remediation and root cause remediation are used to help fix data quality issues.

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CDMT – DQA – Graduate Diploma – Tier 1 – Contents

41 Modules – Including 120+ Practice Tests

41 Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

Certification Test (x2) available for £150

 

CDMT – DQA – Graduate Diploma – Tier 2 – Contents

41 Modules – Including 120+ Practice Tests

270+ Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

820+ Multiple Choice 2 Questions

410+ Interactive Questions

Certification Test (x2) available for £150

CDMT – DQA – Graduate Diploma – The Works – Contents

41 Modules – Including 120+ Practice Tests

270+ Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

820+ Multiple Choice 2 Questions

410+ Interactive Questions

Unlimited Certification Tests

CDMT – DQA – Graduate Diploma – Tier 1 – Contents

41 Modules – Including 120+ Practice Tests

41 Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

Certification Test (x2) available for £150

CDMT – DQA – Graduate Diploma – Tier 2 – Contents

41 Modules – Including 120+ Practice Tests

270+ Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

820+ Multiple Choice 2 Questions

410+ Interactive Questions

Certification Test (x2) available for £150

CDMT – DQA – Graduate Diploma – The Works – Contents

41 Modules – Including 120+ Practice Tests

270+ Videos

820+ Introduction Questions

820+ Multiple Choice 1 Questions

820+ Multiple Choice 2 Questions

410+ Interactive Questions

Unlimited Certification Tests

CDMT Data Quality Analyst – Graduate Diploma – Tier 1 Only £2625 excl VAT

CDMT Data Quality Analyst – Graduate Diploma – Tier 2 Only £3050 excl VAT

CDMT Data Quality Analyst – Graduate Diploma – The Works Only £3200 excl VAT

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Data Management Certification

Get certification of completing the CDMT Data Quality Analyst – Graduate Diploma. 

Become a certified CDMT Data Quality Analyst.

Training content valid for 24 months.