Our Business Analysts Support and drive change across the organization, from definition and documentation of the business requirements, to detailed specification of the scope and support in the implementation and testing of the dedicated solution.
We provide a wide range of development and implementation services related to Data Warehouse frameworks We support our customers to consolidate their data systems or migrate to a newer, and more robust platform. We offer frameworks and solutions to mitigate associated risks while accelerating deployment. IDS’s Information Delivery service provides a single access point for aggregated information via an easy-to-use Web-based interface. For our Enterprise Customers, Data management is critical - having the perfect balance between business performance, compliance, data retention and storage capacity, doesn’t come easy. Our consultants will guide you along the journey to establish when data should be anonymized, stored, archived or purjed. In charge with the detailed specification of the solution design, aligned with enterprise architecture principles and existing software implementations. Includes software development specification documentation, data model definition / update, technical support for all downstream functions (from development, to technical testing and even business testing). IDS’s specialists will ensure the implementation of robust governance processes, acquiring the best processing time using parallelization, eliminating downtime, refactoring existing code, and improving resource management for optimal processing. We are eager to make our work more efficient, so we use automation as a tool for faster and faultless BI frameworks. We enable our customers to drive automation, transforming manual or outdated reporting into obsolete tasks. Our experts will assist you in reaching the full potential of your Data Warehouse capabilities - we are keen to be aligned with the latest technologies and features, constantly pushing the industry to create better services. We help our clients in defining what most suitable information about data should be captured and how it should be stored. Provide advice for maintenance of needed metadata and secure accuracy and usability. Our work is based on a high-performance data governance framework that embraces collaboration at all levels. We partner with you to drive business alignment, specialization, stewardship, responsibility, accountability, consistency, and scalability across the enterprise. IDS’s release and deployment service help our customers to build, test and deliver new components needed in order to achieve their intended data management objectives. Business Data Model: Organization-wide coverage of the business concepts by organizing and defining them in entities, attributes and relationships. Our Business Analysts Support and drive change across the organization, from definition and documentation of the business requirements, to detailed specification of the scope and support in the implementation and testing of the dedicated solution. We support our customers to consolidate their data systems or migrate to a newer, and more robust platform. We offer frameworks and solutions to mitigate associated risks while accelerating deployment. IDS’s Information Delivery service provides a single access point for aggregated information via an easy-to-use Web-based interface. For our Enterprise Customers, Data management is critical - having the perfect balance between business performance, compliance, data retention and storage capacity, doesn’t come easy. Our consultants will guide you along the journey to establish when data should be anonymized, stored, archived or purjed. In charge with the detailed specification of the solution design, aligned with enterprise architecture principles and existing software implementations. Includes software development specification documentation, data model definition / update, technical support for all downstream functions (from development, to technical testing and even business testing). IDS’s specialists will ensure the implementation of robust governance processes, acquiring the best processing time using parallelization, eliminating downtime, refactoring existing code, and improving resource management for optimal processing. We are eager to make our work more efficient, so we use automation as a tool for faster and faultless BI frameworks. We enable our customers to drive automation, transforming manual or outdated reporting into obsolete tasks. Our experts will assist you in reaching the full potential of your Data Warehouse capabilities - we are keen to be aligned with the latest technologies and features, constantly pushing the industry to create better services. We help our clients in defining what most suitable information about data should be captured and how it should be stored. Provide advice for maintenance of needed metadata and secure accuracy and usability. Our work is based on a high-performance data governance framework that embraces collaboration at all levels. We partner with you to drive business alignment, specialization, stewardship, responsibility, accountability, consistency, and scalability across the enterprise. IDS’s release and deployment service help our customers to build, test and deliver new components needed in order to achieve their intended data management objectives. Business Data Model: Organization-wide coverage of the business concepts by organizing and defining them in entities, attributes and relationships. BI solutions and Data Warehouse consultancy for financial institutions. Handling software development for BE/FE requirements. Experienced consultants on telecommunications data management solutions. Custom solutions for Retail businesses.
Frameworks
Data Warehousing Frameworks
Business Analysis
Testing & Deployment
Information Delivery
Information Lifecycle Management
Technical Analysis
DWH Performance Tuning
BI Automation
Development
Metadata Management
DWH Best Practices
Release Management
Data Modelling
Logical Data Model: Extensive knowledge in defining generic structures that stand as foundation for the physical model.
Physical Data Model: Experienced in creating and maintaining physical data model according to best practices, standards, ensuring high data quality and reduced redundancy.
Business Analysis
Testing & Deployment
Information Delivery
Information Lifecycle Management
Technical Analysis
DWH Performance Tuning
BI Automation
Development
Metadata Management
DWH Best Practices
Release Management
Data Modelling
Logical Data Model: Extensive knowledge in defining generic structures that stand as foundation for the physical model.
Physical Data Model: Experienced in creating and maintaining physical data model according to best practices, standards, ensuring high data quality and reduced redundancy.
Data Management Tools & Technologies
BANKING
IT
TELCO
RETAIL
