Data Management

Rethink Solutions develops systems for effective data sharing and database management. Manage your data securely and efficiently.

Structure and Store Your Data — Strategically

Data Management involves the planning, development, implementation, and administration of systems for the acquisition, storage, analysis and retrieval of data; including the activities of strategic data planning, data element standardization, information management control, data synchronization, data sharing, and database development.

Typically, the data an organization utilizes remains relatively stable and constant, while only the methods of analysis and measurement change. The challenge of data management and analysis is in acquiring and using the know-how and knowledge of how to put this very data together in meaningful ways.

The RSI team can provide assistance to iTAM Link users by ensuring that iTAM Link is kept up to date with their current and pertinent real estate, tax and assessment information. We offer a fully outsourced data management service which includes ongoing data input and maintenance for an entire real estate portfolio, ongoing archival of electronic files and documents using iTAM Docs, and ad hoc data manipulations as necessary. RSI’s data management service is an optional add-on and we typically work directly with our clients and users, where required, in order to implement and maintain iTAM Link data and information.

If additional assistance or integrations are required, RSI can design processes and concepts based on an organization’s data and business process requirements. We plan and build the structure of data (what exists, not how it exists), by examining the associations and relationships between data entities and elements, and by exposing redundancies and inconsistencies within data and data models. This methodology enables us to improve the quality of information systems, reduce associated maintenance costs, and eliminate data redundancy.

Our widely used solutions rely heavily on our core principles and concepts to effective data management, which include:

  • Data Policies
  • Data Life Cycle & Processes
  • Data Quality
  • Data Access and Retrieval
  • Data Security and Storage
  • Data Analysis, Audit and Quality Control