Convert NGL-LPG industry data to value quickly

Poor quality data costs organizations significant money in time and resources and, overall, creates mistrust in the business problem outcomes. According to Harvard Business Review, approximately 80% of data science is data wrangling, preparation, cleaning and normalization caused by not collecting data properly and/or a faulty validation process. This creates erroneous results for the business decision your organization is working to solve.

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