AI AUGMENTED DATA QUALITY PLATFORM
Diversity of data continues to increase in terms of sources, types, formats and platforms. Further the spread of data across cloud, multi-cloud, on-premise and hybrid makes data management even more a challenging problem. Current data quality platforms are limited to traditional use cases and lacks innovation in data preparation, machine learning, streaming data and predictive analytics technologies.
Also, it lacks the ability to pinpoint the root cause of quality issues to source and are limited to no self-service capabilities. Even after purchasing such heavy priced data quality platforms, still organizations are left with difficulty of implementation and onboarding issues with existing landscape.
After a decade of trying and working with various data quality products and platforms such as those, we said
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YES, only to platforms with built-in standardized process to monitor ongoing data quality and curation issues.
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YES, only to platforms that solve business-centric capabilities.
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YES, only to platforms that provide immediate Return on Investment and recognition.
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YES, only to platforms that has consistent performance, scalability and is Enterprise ready.
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YES, only to platform that “truly” manages your data and not another platform you need to manage.
Say YES to DQLabs.ai – a platform that enables you to discover, trust, govern and consume data at ease. With augmented analytics and ML capabilities, leverage an immediate ROI and enable users to interact with data and insights without requiring advanced skills.
