The District of Columbia’s (DC) government and its municipalities were facing several challenges in accurately assessing the overall asset management operation and prioritizing future projects based on the available budget.
Based on this, they were exploring a solution that would help create an accurate inventory of the number and condition of all district government-owned assets, repair costs, and provide estimates on future capital needed to support the city’s continued growth.
Enterprise Decision Analytics (EDA) is a decision analytics platform that helps the DC government prioritize and optimize their decision making in relation to their asset network, infrastructure (roads and bridges), vehicles, buildings, and schools.
With EDA, the district will be able to better understand the health and reliability of its assets, use predictive capabilities to prevent failures, reduce maintenance backlogs, and boost their business strategy to ensure KPIs are met. With an asset portfolio worth over $14 billion, being able to plan ahead as much as possible will be a key factor.
As a result of utilizing our EDA technology, the district saw vast improvements in their asset data management, as well as their investment planning processes. In real terms, the district now has one of the highest bond ratings in the country for state or local governments, meaning it can borrow and ask for money at lower interest rates.
They were also able to perform a complete asset inventory analysis, which highlighted their assets’ current condition and provided an update on their multi-billion-dollar portfolio.
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