Forvis Mazars Nigeria has announced its partnership with the OOH Academy to audit the second edition of Location Marketing Awards (LOMA) slated to take place on September 27 and 28 in Lagos.
Being the second time Forvis Mazars Nigeria is partnering with OOH Academy for the sole purpose of ensuring that the annual LOMA Awards and Conference is of “the highest standards of integrity and transparency,” LOMA 2024 is set to shake not only the out-of-home advertising but also the entire marketing communication in general with a universally acceptable brand communication in the upwardly mobile digital age.
In a brief message posted on its Linkedin page, Forvis Mazars Nigeria stated that “Forvis Mazars Nigeria is proud to once again partner with the OOH Academy to audit the 2024 Location Marketing Awards (LOMA) process. This marks our second consecutive year collaborating to ensure the highest standards of integrity and transparency.”
Forvis Mazars is a leading global professional services network operating under a single brand with just two members: Forvis Mazars, LLP in the United States and Forvis Mazars Group SC, an internationally integrated partnership operating in over 100 countries and territories.
Both members share a commitment to providing an unmatched client experience, delivering audit, assurance, tax, advisory and consulting services across the globe.
Forvis Mazars in Nigeria has been in existence for over 45 years, established indigenously in June 1975 with continuous and disruptive growth ever since. Forvis Mazars Nigeria is driven with steady guidance from professional and discerning leaders committed to building a sustainable brand legacy.
LOMA Conference and Awards is annually organized by the OOH Academy to appreciate and celebrate both individuals and brands’ commitment to upholding the highest tenet of professionalism and excellence in the Outdoor Advertising sector. LOMA Awards has demonstrated commitment to its guiding principle to promote the integrity of the award process by emphasizing credibility, fairness, data accuracy, and transparency.
