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Investigation and Remediation Data Management within the Small Business Context Lacy Smith, P.G. St. John – Mittelhauser & Associates, Inc. 1.

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Presentation on theme: "Investigation and Remediation Data Management within the Small Business Context Lacy Smith, P.G. St. John – Mittelhauser & Associates, Inc. 1."— Presentation transcript:

1 Investigation and Remediation Data Management within the Small Business Context Lacy Smith, P.G. St. John – Mittelhauser & Associates, Inc. 1

2 My Context Began with SMA in 2009 Investigation and Remediation Services Annual Sales increased 80% in the past 5 years Company of ~40 people. Tasked to develop a company wide data management implementation beginning with one large remediation project 2

3 Some Universal Data Management Principles Ensure data accuracy through Centralized data storage Consistent quality assurance procedures Logical and consistent data reporting Lifetime data management Garbage In = Garbage Out Maximize efficiency while minimizing errors 3 Source: United States Environmental Protection Agency, Latest Findings on National Air Quality: Status and Trends through 2006, EPA454/R-07-007

4 Independent Data “Management” 4 Water Levels Survey Data Boring Logs Soil Analytical Figures & Graphs Groundwater Analytical Well Construction Details Project Manager Field Staff Lab Analyst Client Regulators Community Stakeholders Water Levels Soil Analytical Groundwater Analytical

5 Challenges in a Small Business Independent-Minded Colleagues Change is HARD! 5 Limited Personnel Small Overhead Budgets

6 The Path Forward Teaching MyselfTeaching Others 6

7 The Path Forward Leveraging Cutting Edge Technology 7 Clear, honest, patient communication Culture Shifts

8 The Upside of the Small Business People are your biggest asset Independence also brings freedom and trust to try new ideas 8 Note: Contamination identified by dark blue / purple and spreading to the light green / light blue CPT / ROST OUTPUT

9 The Upside of the Small Business Every person wears many hats Willingness to open up the “black-box” 9

10 Collaborative Data Management 10 Project Manager Client Lab Analyst Regulators Field Staff Community Stakeholders Data In Data Out GIS Maps Excel / PDF Reports Boring Logs

11 Lessons Learned 11 People are your best resource. A key individual is essential Culture of Data Management is powerful to create buy-in Leverage key technology Unpack the “black-box”

12 Questions? Comments? 12


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