‚Garbage in, garbage out‘ still plagues IT in an age of digitalisation and machine learning,Cloud and Infrastructure,Big Data and Analytics,Software ,Cloud,sopra steria,data governance,Data warehouse,data quality,Andy Whitehurst,Machine Learning
Organisations are still plagued by poor-quality data, despite decades of data quality and data cleansing initiatives – and could undermine digital transformation projects in the future.
That was one of the key messages of the Computing IT Leaders‘ Dining Club this week, which was sponsored by services company Sopra Steria.
„Data quality is a prerequisite for so many projects these days,“ said the CTO at a major communications company. „There’s some really interesting technology you can apply to get some valuable insights. But you need an environment that’s viable. “
According to Andy Whitehurst, a principle consultant with services firm Sopra Steria who has spent the best part of two decades working in data warehousing projects, the old problem of ‚garbage in, garbage out‘ remains.
