In order to capitalize on its competitive advantages enterprise need to enable comprehensive and structured approach to data management. The data architecture should describe the structure of an organization’s logical and physical data assets and data management resources.
We use proven data modeling techniques to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organization. We design and provide effective data management processes for business purposes. We also design optimal enterprise data models to enable efficient and reliable data processing.
In scope of our projects we define data management principles and data management model based on identification of information and data resources and analysis of stakeholders. We help enterprise to clearly understand how business functions, processes, and services utilize data entities and how and where enterprise data entities are created, stored, transported, and reported.
We provide deep expertise in the field of Master Data Management. We conduct the analysis of the data flow within the organization and assist in the development and support in the implementation of model of the data consolidation for analysis and reporting.
The process of data modelling involves professional data modellers working closely with business stakeholders, as well as potential users of the information systems. One of the most important issues is to define clearly which application components in the landscape serve as the system of record or reference for enterprise master data.
Application architecture it’s description of the logical grouping of capabilities that manage the objects necessary to process information and support the enterprise’s objectives.
As companies develop highly complex IT and business environments to generate competitive edge, architecture governance practices are required to manage and control effectively enterprise architecture.