Data Analyst/ Data Scientist

Data Quality Tools for Data Analysts|RedPoint GlobalData quality is a top concern for most organizations that face significant challenges in their downstream use of data: duplicate, incomplete, or missing data; conflicting standards; and outdated records. After all, your investments in machine learning, predictive models, and other advanced analytics will fail to produce high-yield results until you master these data complexities.

RedPoint helps data experts like you resolve data issues without requiring any coding, so you spend more time tuning models, enhancing data, and generating better business results. With RedPoint technology, you can:

  • Tap into hundreds of data-quality and data-integration functions to work with structured, semi-structured, and unstructured data sets of any size.
  • Ingest any source of data, including streaming and batch data that may originate from CRM, e-commerce, web, ERP, IoT, and analytics systems – or from any database technology.
  • Seamlessly work across traditional and Hadoop environments with zero-footprint processing. There’s no need to export or migrate data to clean it and reimport it. Data quality and integration are handled in the Hadoop cluster.
  • Process billions of records with address validation and matching in minutes – up to 1,900 percent faster than market-leading technology – to operate at the speed of the business.
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View the White Paper: Optimizing Customer Engagement Through Connected Data

The best data analyses and game-changing insights will never happen without the right data in the right place at the right time. That’s why data preparation is a non-negotiable must for any successful customer-engagement initiative.

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Learn How to Shatter Silos with RedPoint’s Master Data Management Solution

To achieve the highest positive results from enterprise data, companies need to develop a single source of truth – they need master data management (MDM).

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