data quality - DataIQ

Event

Roundtable Rerun – Tackling the challenges of Data Quality

In this roundtable we’ll discuss ways DataIQ members are approaching data quality challenges, the tools & techniques being used and how they are helping to make the right business decisions.

Event

AFL Module 6 – Setting the right data quality foundations

Learn the six key dimensions of data quality and the ten ways to measure and ameliorate each one, ensuring you have a clear plan for where to deploy resources against challenges.

Event

Roundtable – Tackling the challenges of Data Quality

In this roundtable we’ll discuss ways DataIQ members are approaching data quality challenges, the tools & techniques being used and how they are helping to make the right business decisions.

Article

3 ways to smash silos

How can data silos can be addressed by data leaders to ensure effective communication, cooperation, and compliance?

A woman checking inventory in a warehouse.

Article

How do you influence data owners to be data stewards?

It is one thing to own data sets, but another entirely to be responsible for its use and upkeep – so how can data leaders encourage team members to become data stewards?

An apprentice raises their hand in a seminar to ask a question.

Article

Starting a data academy programme: A blueprint for success

Organisations need to implement their own data academy to prepare for long-term success as data’s place in the business world continues to rapidly evolve.

Article

How to address inevitable data quality issues

Much like death and taxes, issues with data quality are a part of life for data practitioners – but there are steps to be taken to reduce any impact poor quality data may have on a business.

Tag: data quality

Roundtable Rerun – Tackling the challenges of Data Quality

AFL Module 6 – Setting the right data quality foundations

Roundtable – Tackling the challenges of Data Quality

3 ways to smash silos

How do you influence data owners to be data stewards?

Starting a data academy programme: A blueprint for success

How to address inevitable data quality issues

Enabling the success of Data and AI leaders and their teams.