Less Wrangling, More Insights: using Data Quality and Location Intelligence

Less Wrangling, More Insights using Data Quality and Location Intelligence with Big Data “Data wrangling” is transforming raw data into something that can be analysed by algorithms and data scientists. It is estimated that data scientists spend 50%-80% of their time manually preparing business data for use in analytics. As datasets increase, the need for organising data and bringing context to data, before attempting analytics, becomes even more essential. In this webinar we share how data quality and location analytics are being applied natively in cloud and big data environments to help automate this process, ensure compliance, and provide insight for better decisions.   We also discuss real-world examples of where data quality and location analytics can be applied in big data environments to ensure compliance and provide insight for better decisions.   Including discussion on the following key questions: How can we organise data at scale? How do we bring context to your data? What are the steps you need to prepare your data for analysis? Precisely is a global leader in data integrity, providing accuracy and consistency in data for 12,000 customers in more than 100 countries, including 90 percent of the Fortune 100. Precisely enables companies to integrate, verify, locate, and enrich their data to power better business decisions. To learn more, visit www.precisely.com.