Building a case for data quality: What is it and why is it important
According to an IDC study, 30-50% of organizations encounter a gap between their data expectations and reality. A deeper look at this statistic shows that:
According to an IDC study, 30-50% of organizations encounter a gap between their data expectations and reality. A deeper look at this statistic shows that:
While surveying 1900 data teams, more than 60% cited too many data sources and inconsistent data as the biggest data quality challenge they encounter. But
A recent survey shows that 24% of data teams use tools to find data quality issues, but they are typically left unresolved. This means that
It is challenging to correlate a data problem to business risk or impact. Poor data quality can have devastating risks on your business. Most organizational
According to O’Reilly’s report on The state of data quality 2020, 56% of organizations face at least four different types of data quality issues, while
Most companies trying to become data-driven cite poor data quality as one of the top 5 challenges. Invesp published a report where they discovered that
A recent survey reported that the top KPI for data teams in 2021 was data quality and reliability. But the majority of the respondents said
According to Seagate’s Rethink Data Report 2020, 44% of enterprise data is lost, and only 56% is made available for use. Moreover, out of the
In February 2020, Facebook handed over an anonymized dataset to Social Science One – for the purpose of gaining insights on social media communications and
Note: this blog is part 3 in a series of 3. If you want, do check out the previous blogs where we discussed the need
Note: this blog is part 2 in a series of 3. If you want, do check out the previous blog where we talked about the
Biggest data challenge faced by most companies Having delivered data solutions to Fortune 500 clients for over a decade, we have encountered various types of
Data Ladder offers an end-to-end data quality and matching engine to enhance the reliability and accuracy of enterprise data ecosystem without friction.