• Independent Verification and Validation (IV & V), which represents independent third party quality management, has been shown by industry studies to achieve 125% to 185% Return on Investment.

• Information Assurance:  Computer Technology is rapidly evolving and with every change comes the increased potential for vulnerability.

• Data Warehouse Testing:  Primetek has developed proven Test Processes and Methodologies

Verification Services

These services are derived from industry best practices and established quality control principles, and all verification artifacts will be based on the approved, allocated, and prioritized requirements for the applications.

Validation Services

Our validation services ensure that all appropriate business issues have been satisfactorily addressed. The validation services will ensure that the system will meet the current and planned business needs of our clients, and that all necessary training, policy, process, and procedural changes have been defined and implemented.

Information Assurance

Computer Technology is rapidly evolving and with every change comes the increased potential for vulnerability. We must stay informed regarding how these changes affect the protection of Information Systems and the data stored within them.

Data Warehouse Testing

Primetek has developed proven Test Processes and Methodologies for the Business Intelligence and Data Warehousing projects that allows for effective system of reviews, metrics-driven testing processes, and standardized documentation of test practices and usage of automation techniques.

 Business Intelligence (BI)  Service Offerings:

Analysis

Business Intelligence Assessment;  Assess effectiveness of current BI systems including the need to re-engineer or build newer ones, benchmark current effectiveness against industry, measure ROI, evaluate solutions and tools

BI Strategy and Roadmap Development

Build a business case, help achieve management consensus, manage analytical capabilities to drive business performance

Design

BI Architecture and Planning;  Perform business analysis, enterprise architecture definition, conceptual design, tools recommendation, initial planning

Information Management Alignment

 Align process methodologies, define data governance model, balance needs of various business areas, ensure effective metadata and master data management

Data Acquisition and Integration

Identify relevant source entities and attributes, ensure dimensional conformation, clear performance bottlenecks, carry out data cleansing and data quality checks

Data Modeling

Develop schema definitions; develop data marts – enterprise, dependent, independent 

Implementation

Data Crunching;  Define aggregation rules, hierarchy roll-up algorithms, base and computed measures, time-series analysis

Data Presentation

Define reports, prepare universe, define and build cubes, publish reports, slice and dice, drill-up, drill-down and drill-through