Our Approach

To pilot project by modeling solutions to integrate and coordinate businesses efforts toward market connectivity through IT solutions. To improve local business visibility for information flow that effectively will bring improvement of economic development and to implement strategies in the value chain in compliance with sustainability in the region and its natural environment capabilities.

Gearing toward the era of dynamic data information for the evergreen supply chain

The models are data driven and focuses in the improvement of organizing the logistics of information flow for networks of scales. A unique data infrastructure planning and mapping for the initiation in smart city projects from a perspective of the value chain in commerce to improve data ecosystem from end point activities to understand demand in the region. To aid in cross-agency connectivity with their source to complement the management for decision making that can adapt to greener supply chain -from the value chain, We correct distribution of the business data infrastructure in local networks to purposely serve, not only the interconnectivity of different business sectors, and their micro economies, but to allocate those businesses that

can become automated and promote the development of effective interface for interactively relations to their supply chain in a dynamic data ecosystem. Building models one project at a time that will transform and articulate efforts in every industry toward a more sustainable and green economic development. We believe that by harnessing the the data information on site, and by allowing data governance in the place to help businesses gain insight in their market, can make better use of the resource and allocation .in diverse sectors to help them plan for a greener supply chain.

Data Governance for the Future

How can medium and large organizations help in our micro-economic development projects?

For today’s successful change management, organizations leaders and their directive teams can positively impact their ,local economies by engaging in managing business developers to improve procurement processes by objectively working toward automating their procurement processes. Ideally by first focusing in the business operations system (BOS) of main local organizations, and that will help the organization gain insight in their processes and data. Second, consistently create value and control over their data for local usability and improvements on site- or area of development. By systematically focusing in the automation processes, the improvements will canalize the information from data driven organizations to then be discover valuable for the decision making and any internal projects as well as for creating robust data infrastructure that will help create and trace down the demand by connecting suppliers with several, if not all, of the in local demands. A unique approach to mitigate the risks in cutting suppliers surplus; and of bringing together the local decision makers of the different sectors in goods and services, to one, customize market demand; and two to procure, bid and negotiate effectively and realistically with natural environment. A productive approach for micro-economies that effectively allocate, fulfill, demand and deliver under a common structure of organized data architectural design. Effectively helping every economic participants to become data drivers that could improve management decisions in the supply chain for sustainability and a fair and green economy.

Serving the sector of healthcare in medical supplies and diagnostic small devices, is one of our projections for example; to begin developing in small areas. To focus in their connectivity to improve supply chain, for example is part of MGD objectives, Focusing in business development for modeling projects in the use of building blocks for the implementation of new technologies in collaboration with public and private sectors for the improvement of smart city projects in the small crowded areas in different key areas of the globe.

https://www.safegraph.com/data-examples/covid19-commerce-patterns

The case of Healthcare Sector

Access to healthcare in less developed areas, is one example of how we need to change the overall structure of our organizations and more specifically in the way the industry procures by sector. Improvements in regulations and transaction in operations require a dedicated attention to opt for solutions like customized available product production for the supply chain and their Tiers . The quality and robustness of systems used to manage the healthcare and other industries have not yet met the standard of the procurement in green energy, hospital, clinics and the construction sector. Efficient procurement requires equal consideration of quality and price, and overall accessibility where is most needed.

In many places in the world Healthcare sector deals with a critical inventory of medical supplies which is difficult to manage because manufacturing sites are unavailable or their production capacity is limited. increasing costs to distribution. The same is for the construction industry, the finance and the access to energy. Government involvement in policies and regulations play an important part in finding a solution to identify deficiencies in the process of collecting data, suppliers by arbitrage bidding, compliance policies, all too difficulty for cross-agency communications and connectivity. To improve a safe decentralized healthcare procurement, some areas require data governance for accuracy in budgeting and decision making. Despite the efforts in networking to try to meet the needs of the public sector without the hurdles of real-time management to collaborate for the vast number of distributing small and medium organizations of supplies and services, a distributors of the information is needed to implement technological projects using the right data for interconnecting efficiently and promptly for sustainable procurement in the different sectors of the supply chain. In particular the health sector, which is a major industry that will still present many challenges to overcome by 2030 and urgently requires to improve in many aspects of their supply chain that will face greater impact by the growing demand in the future.