Database Development and Consulting Services

A customized data management system can revolutionize your business' effectiveness, productivity, and processes. At SNP, we are experts in designing such systems intelligently built around your unique business needs.

As a Microsoft Network Partner, we specialize in the broad selection of SQL Server editions and related schema design, object-relational mapping tools and maintenance utilities. We have also implemented and supported applications based on Microsoft Access, Microsoft FoxPro and MySQL.

Our database consulting and development services operate in various development contexts including, but not limited to: web applications, web services, winforms applications, SharePoint solutions, Microsoft Office integration, and business intelligence solutions.

Our Approach

Reliable and timely information drives better business decisions. Such information is often derived from heterogeneous data sources, such as transactional data from mission critical software applications, contact management systems, departmental applications, data from the company website, and even Excel spreadsheets.

Operationally, organizations depend on their transactional and analytical data solutions. Today's businesses, of all sizes, understand that the secure deployment and management of databases are no less critical than the infrastructure and organization of the actual data. Therefore, data should be carefully secured and maintained, transparent, unified, accurate and organized to fully support the company mission.

To this end, an appropriate database toolset should be selected that supports schema design, methods of access, data manipulation, data migration, and transactional logging. Data backup and recovery strategies should be put in place, and should include disaster recovery and continuity planning. The selection of tools should be based on the scale of the mission.

With the appropriate tools, practices, and processes in place, transactional and analytical data can be used to take control of your business, generate revenue and reduce waste.

Our Method

We have designed, programmed, and deployed solutions that target the desktop, local area network, website and enterprise. 

We have developed a multi-phase strategy for designing these database systems for our clients. SNP has implemented this strategy across a variety of business sectors, especially in the area of Healthcare. These phases include:

  • Planning

  • Data-Modeling

  • Interface Design

  • Web and Client-Server

  • Workflow and User Analysis

  • Capacity Strategy

  • Implementation

  • Migration of Legacy Systems and Data

  • Post-Implementation Review

SNP database design and data management solutions target unique client requirements. In carrying out your requirements, we address the following disciplines throughout the lifecycle of the database solution:  

  • Data Architecture: The logical and physical data modeling and database design activities, such as data normalization, that are used to develop a functional and effective database

  • Data Governance: A combination of practices, principles, policies and processes that promote the best organization and management of a business' data assets. Data Governance targets risk reduction and enhanced effective data usage

  • Data Stewardship: A practice of ongoing schema management activities, conflict management and documentation.

  • Data Quality: A practice of ongoing assessment to ensure that data is suitable for its intended use

  • Data Integration: Includes processes and tools for migrating data, including Extraction, Loading and Transformation (ETL) - and these processes are used to upgrade applications or to create data warehouses from which one can provide business analysts with data that is meaningful, consistent, and trusted across subject areas and business units

  • Unstructured Data Integration: Extract meaning from text using various linguistic techniques, adding structure to the unstructured data and integrating it with structured data for information analysis

  • Data Security and Privacy: Practices, policies, and processes that ensure information security, data privacy and regulatory compliance across data subject areas, including monitoring and audit capabilities

  • Metadata Management: A process that ensures that metadata is accurate, easily accessible, up-to-date, consistent and complete.

  • Master Data Management: Processes and tools used to manage the collecting, aggregating, matching, consolidating, quality assuring, persisting and the distribution of such data within an organization. As an aide to data analysis, MDM ensures consistency and control in the maintenance and application of this data.

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