Rolls Out Big Data Integration Platform Updates

PinIt’s new enhancements focus on data quality, ease and speed of data delivery, and data analytics.

Web data integration solution provider has launched new capabilities for its Web Data Integration (WDI) platform. Powered by the company’s WDI Knowledge Engine, the new features include faster data extraction, comprehensive analytics capabilities, and a data quality metrics dashboard.

See also: Is real-time data delivery really that important?

The platform delivers high-quality web data at enterprise scale without the need to write code or monitor quality, making it more cost-effective for organizations than hiring engineering or IT teams. According to a report from Optimas Research, total spend on web data integration is expected to hit $5 billion this year. WDI Knowledge Engine

Knowledge Engine uses the experience gained from billions of website data extractions to enable faster, more extensive data accessibility. It simplifies processes for the user and offers shorter time to market and greater data accuracy.

Quality Dashboards

According to an estimate from IBM, poor quality data costs U.S. businesses more than $3 trillion annually.’s WDI platform uses an in-built dashboard to provide customers with direct quality metrics associated with the extracted data. This transparency allows users to quickly realize the data’s quality and value.

Data Quality Service Level Agreements

Web data’s increasing mission critical nature means that businesses increasingly rely on consistent, high-quality data integration. — the first (and only) provider offering a Data Quality SLA — allows its enterprise managed service customers to opt for SLAs specifying data quality measurements.

Insights Platform

Customers quickly see value from the platform, which includes comprehensive data visualization and notification tools for a complete analytics capability. Customers can switch from URL to dashboard in one solution by combining the company’s data extraction and transformation/ preparation tools.

Corporations use the web to extract and integrate data into mission-critical decision-making processes including:

  • Pricing
  • Risk management
  • Investment Research
  • Supply chain management

But legacy technologies don’t always deliver, and that lack has driven companies like to develop and launch more sophisticated Web Data Integration solutions. This philosophy “empowers businesses to take full advantage of web data for mission-critical business purposes,” says Gary Read, CEO. “It is defined by high-quality data that is rapidly delivered and integrated directly into business processes with low resource requirements and little to no business risk for the use.”

“In the same way that SaaS platforms for business intelligence, CRM and hundreds of other disciplines have taken away the need for engineers to write their own solution, is doing the same for the web data market. No more coding, no more bad data, no more worrying about whether the data will arrive on time,” he says.

Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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