# DP ASOC - **Website:** - **Primary alias:** `dp-asoc.com.ar` ## Description DP & Asociados is a Buenos Aires-based consultancy and executive training provider focused on finance, management control and practical decision-making for companies, particularly small and medium-sized businesses. Led by Daniel Pequeño, the firm combines professional and academic experience to help organizations turn financial information into better decisions, improve management processes and develop skills they can apply at work. Its consulting services include advisory and outsourced support in administration and finance, treasury and cash-flow planning, budgeting, profitability analysis, management dashboards, cost and pricing strategies, credit and collections, and financing. The firm also provides customized in-company training, including programs in Finance for Non-Financial Professionals and Finance for Commercial Decision-Making. Training is tailored to each organization and can include sector-specific examples, Excel exercises and integrative cases. Through its work with UCES, DP & Asociados is also connected to diploma programs and courses in areas such as finance, investments, management control, budgeting, analytics and digital tools. Pequeño is an academic director, professor, researcher and author of Valuation of Companies and Their Intangibles. ## Industries - 💰 Finance - 💰 Financial Planning and Management _(under Finance)_ - 📊 Business and Consumer Services - 📊 Business Services _(under Business and Consumer Services)_ ## Logos & icons - logo _(primary)_ — PNG — [download](https://cdn.brandfetch.io/id2EBvhNN5/w/1600/h/900/theme/dark/logo.png?c=1bxid64Mup7aczewSAYMX&t=1791585049612) ## Colors | Name | Hex | Theme | | --- | --- | --- | | Carrot Orange | #f29221 | accent | | San Marino | #3c689f | dark | | Quarter Pearl Lusta | #fffdf8 | light | ## Fonts - var(--display) — asset _(custom)_ - var(--sans) — asset _(custom)_ --- _Source: _ _See [/llms.txt](/llms.txt) for a full list of agent-readable pages, and [/auth.md](/auth.md) for how agents authenticate._