Companies today face increasing pressure to maximize technology investments amidst digital disruption. Enterprise architecture and business transformation's solution is to transform business vision and strategy into effective organizational change.
Business Capability Assessment is an important step in our Enterprise Ascending consulting practice.
Our business capability assessment model build on industry best practices with an Ontology model, provides a structured way to assess company’s capability maturity. It provides
Within all supply chains lies the question of planning. The better we evaluate the future, the better we can prepare ourselves. The question of future uncertainty, how to reduce it, and how to protect yourself against this unknown has always been crucial for every supply chain.
For better or for worse, inventories lie at the bottom of these complex supplychains. The central question of how much inventory is needed, and where it is needed, is often an endless debate among colleagues. Especially when the game of politics drives decisions.
Supply chain optimization makes the best use of technology and resources to improve efficiency and performance in a supply network. An organization’s supply chain is a critical business process that is crucial for a successful customer experience.
There are three aspects in supply chain optimization process:
Supply chain design
Cloud computing enables users to perform computing tasks using services provided over the Internet. The use of the Internet of Things in conjunction with cloud technologies has become a kind of catalyst: the Internet of Things and cloud computing are now related to each other.
By enabling the IoT solution run on Cloud, There are many benefits and functions can get:
Our data-driven business consulting services are goal-oriented and follow a scientific method to achieve business value step by step:
1. Business Understanding During this initial phase, our consultants communicate with your management team, understand your business model and business goals, and identify goals for improvement.
2. Data Discovery At this stage, our data experts explore data relevant to the current business.
3. Data Wrangling Our data engineers sort out the data excavated in the previous step, regularize and complete the data.
