Database Development

A properly designed database will help you work more effectively with one of your most important assets, your data.

Your Data

Every organization has collections of data – personnel records, client and project data, research information, financial records – the list goes on and on. The right database can make this collection of data beneficial, allowing your organization quick access to critical information for analysis and action.

Database Development
Content Divider

Data Security

We understand major security issues, current threats, security trends, changing security environments, and attack scenarios. We require relevant security training for all developers and testers, which includes but is not limited to:

  • Awareness of issues such as cross-site scripting, buffer overflows, SQL injection, and dangerous APIs
  • Identify specific categories of threats that apply to your system - for example, denial of service, escalation of privileges, spoofing, data tampering, information disclosure and repudiation
  • Analyze security threats to your system, component-by-component
  • Create a security threat checklist based on your system
  • Add security reviews to all stages (from design to testing) of our product development cycle
Database Development
Content Divider

Data Cleansing, Conversion and Migration

Data cleansing is the process of detecting and correcting (or removing) corrupt or inaccurate records from your data, and refers to identifying incomplete, incorrect, inaccurate or irrelevant parts of the data and then replacing, modifying, or deleting the dirty or coarse data.


We help you increase the value of your existing data with cleansing or conversion. We can help you maximize the quality of your data detail while improving how you access it. We can also assist with migrating or integrating existing records, spreadsheets and paper trails into more valuable business intelligence.

Database Development
Content Divider

Data Modeling and Mining

With data modeling you identify entity types. Data attributes are assigned to entity types, and there are associations between entities, relationships, inheritance, composition, and aggregation are all applicable concepts in data modeling.


Data mining is the process of finding anomalies, patterns and correlations within large data sets to predict outcomes. Using a broad range of techniques, you can use this information to increase revenues, cut costs, improve customer relationships, reduce risks and more.

Database Development