Universe
The universe is vast and complex. We are only beginning to understand how galactic events have shaped our world. Fortunately, universal influences can be seen all around us. Life on our planet has evolved into the plants, animals, minerals and life-giving compounds that exist today. Ancient remedies combined with the need to expand understanding about how specific types of molecules provide life-giving human benefits are important to model.World
Our world is unique and precious. Ability to understand forces that shape our world depends on knowledge we learn. To evolve human thinking, we can bridge knowledge from our past to glimpse into our future. Knowledge must have context. Information used to enhance the way we see things depend on getting accurate and truthful data. For instance, if you divide all the money in the world (GDP$) by the number of people in the world (Population#) you can begin to understand value per person. This is an important metric because we can use this data to start to measure personal wealth and well-being.Environments
Life on earth depends on energy. Life-giving energy from the sun and earth is all around us. Human ability to harness this energy is vital to everyone. Earth’s environment is influenced by energy and ecosystems. For people to live in harmony with mother earth we need to understand how ecosystems work. Today, disruptive forces are increasing need to examine how we live and work. Energy, along with modern-day stress and anxieties represent forces that influence personal health and well-being. To improve our world there is great need to balance how human beings impact life on our planet.Industries
The problem with current industry data is that it is dated. Schemas used model products and services relies on outdated information. Standard Industrial Codes (SIC) used to categorize industries were created based on a bricks and mortar economy. Today’s economies are driven by information that flows through a modern-day telecommunication and transportation infrastructure. To improve the way we value products and services, we must develop new models to measure world commerce. Our models are based on hundreds of thousands of algorithms that span four decades of commerce (1991-2030). We divide products and services into 10 Industry Group, 87 Segments and 354 subsegments. We use these data models to measure performance characteristics that corporations.Markets
Our industry classifications are organized to model “sell-side” data used to measure global markets. We divide world markets into regions: North America (4), Europe (21), Pacific Rim (10), South America (6), Middle East & Africa (11), Rest of World (4) to model 56 countries (94% of the world’s economy). Other countries (164 - 6% of the world’s economy) present ”buy-side” data used to model value creation by economic region and country and include worker populations with activity-based data used to model costs. These models contain hundreds of thousands of proprietary algorithms that are integrated to support how decision makers analyze and size markets, model business operations, value products and services, engage in strategic planning, competitive analysis, mergers and acquisitions. Additionally, unique data used to model resources and infrastructure assets in countries is used to measure economic activity.
AM-GEM data models are global and span all Industries & Markets.