Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Decision-Making, Analytics & Intelligence > Philippines(DMAIPH)is a data analytics and intelligent decision-making training organization based in the Philippines, founded in 2011. According to its website, its core mission is to help Philippine companies and teams extract more value from business data and strengthen organizational capabilities through analytics, artificial intelligence, and data-driven decision-making. In addition to training, it also offers virtual staffing services such as virtual teams, video editing, graphic design, social media management, lead generation, and executive assistants.
Based on the main content, DMAIPH’s training topics cover business analytics fundamentals, data storytelling, generative AI, HR and recruitment analytics, data-driven decision-making, and related areas. The focus is more on practical business use cases and management decision-making rather than purely programming-oriented or academic data science courses. Its target learners include executives, managers, team leaders, supervisors, and team members who work with data in their daily roles. Founder Dan Meyer previously served as a senior analyst at Wells Fargo Bank, has consulting experience, and has a background connected to the Analytics Association of the Philippines, university teaching, and APEC-related projects. The website also states that the organization has trained tens of thousands of professionals, which provides some credibility for its corporate training positioning.
The page does not disclose course pricing, course duration, class schedules, teaching language, or whether training is delivered online or offline. It also does not specify whether live sessions, recorded lessons, or 1-on-1 coaching are available. A comment asking about the Data Storytelling course calendar suggests that courses may be scheduled by cohort or based on corporate needs, but the main content is not sufficient to confirm this. Certification or certificate details are also not mentioned. For corporate procurement, it would be necessary to ask further about the training syllabus, instructor assignment, delivery format, certificates, invoices, and payment methods.
The main strengths are its focused course scope and emphasis on building corporate analytics capabilities, with topics ranging from foundational analytics to generative AI and HR analytics, making it suitable for internal organizational training. The instructor background and local Philippine industry experience are also highlights. The downsides are that the publicly available information is not very productized: there is no pricing, registration portal, trial material, learning outcome criteria, or certificate explanation. The website also mixes training content with virtual staffing services, so users who only want to purchase courses may need to filter through extra information.
DMAIPH is better suited to companies operating in the Philippines or managing teams in the Philippine market, especially organizations that want to improve data awareness among management, build data storytelling capabilities for reporting, or introduce AI into business workflows. For individual learners in China who simply want to study data analytics systematically, platforms such as Coursera, edX, DataCamp, Udemy, or domestic Chinese course platforms may be more transparent and convenient. The main content does not provide information about access from China, and payment methods are also unknown. Before procurement, it is recommended to confirm website accessibility, cross-border payment options, and the feasibility of remote delivery.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on dmaiph.com official site.
dmaiph.com is an Philippines Education provider. TG4G tracks its product information, an overall rating of 5.0/10, and a China-accessibility score of Workable. Click "Visit Official Site" to reach dmaiph.com directly.