With the growing advent of advanced technologies like IoT, predictive maintenance and others, challenges around acquisition of automated data, data transformation, data analytics and data quality have been observed. The underpinning to successful digital transformation and AI initiatives is quality of data, which can be ensured by the data quality tools. The tools enable the organization to fully understand the data they have across the enterprise and ensure its accuracy and integrity.

SpotterDQV is a Data Quality Monitoring solution from HCL that can help to get insights about the data quality issues upfront. It helps in improving quality of the insights, taking informed decisions, and reduced resolution turnaround times.

With the growing advent of advanced technologies like IoT, predictive maintenance and others, challenges around acquisition of automated data, data transformation, data analytics and data quality have been observed. The underpinning to successful digital transformation and AI initiatives is quality of data, which can be ensured by the data quality tools. The tools enable the organization to fully understand the data they have across the enterprise and ensure its accuracy and integrity.

SpotterDQV is a Data Quality Monitoring solution from HCL that can help to get insights about the data quality issues upfront. It helps in improving quality of the insights, taking informed decisions, and reduced resolution turnaround times.