Optimization of Data Assets

Exponent is a leader in strategic use of company environmental data assets. Our multi-disciplinary team of scientists and engineers include data analysts and data users with decades of experience in analyzing complex projects in numerous geographical areas and climates for a variety of industries. Companies spend considerable resources collecting, analyzing, and managing environmental chemistry and other data in support of various of investigations and remediation programs. What happens to these data after the site is closed or the report filed? What uses do these data serve to inform strategic decisions across multiple sites? How can existing data be leveraged to reduce data collection efforts for future investigations and remediation? Are you realizing the untapped value of these data assets? A global understanding of available data, and development of meaningful data analytics are needed to realize the value and power of a company’s data assets.

Exponent’s data optimization services can be applied at any stage of a project, from the start to optimize information collected from a sampling plan, or later to maximize value from data already archived. Exponent scientists have employed data optimization for many companies, leveraging data from multiple environmental investigation and remediation sites with one or more common aspects to gain broader insight into patterns and trends. The traditional, narrow review of data from a single site for a single objective is often inefficient and does not maximize insight from available resources.

Collecting a large amount of data will not necessarily result in greater understanding if the “right” data are not collected. A central tenet to our consulting services is to optimize the data collected with a clear line of sight to the current need as well as future potential uses; thereby maximizing value at minimum expense. In the best case, collected data will be suitable for multiple purposes throughout the project life such as characterizing a site under local cleanup regulations and defending against future potential natural resource damage (NRD) claims.

With data in hand, Exponent’s data scientists break from the standard data warehousing approach to organize data in ways that increase efficiency of data exploration and analysis as well as optimize access while maintaining security. This includes not only those numerical values that are easily stored in spreadsheets and a database, but also, documentation related to site history and activities, property ownership, historic aerial photography, regional background studies, toxicity studies, and remedial investigation study plans and reports. Efficient access to this supporting information with direct linkages between data types provides a robust compilation for analysis and interpretation that can be utilized by the entire project team, both inside and outside Exponent. 



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