System Design

Plain English is the Key to Successful System Design

Businesses often fail in the mission of producing data that gives them a competitive edge. Experienced information systems analysts have lots of tools for data modeling. But this data is often so complex, it leaves business executives without accurate, understandable, and actionable insights.

That’s where Sharp Informatics can help you. Whether you are designing new systems or upgrading existing systems, our Natural Language Modeling procedure relies on simple questions that produce meaningful data for businesses. For IT analysts and database programmers, we offer training courses to develop core NLM competencies within your organization.


Improved Data Accuracy

Sharp Informatics ensures your databases deliver accurate and useful information. Our proprietary Natural Language Modeling (NLM) algorithm validates and verifies user needs and system design to help ensure project success.


Rapid Database Development

Sharp Informatics programs database designs that are right the first time, every time. Utilizing NLM, stakeholders answer simple questions about their area of expertise. Their yes and no answers guarantee that their system requirements are captured and understood.


Valuable Data Insights

Sharp Informatics builds databases that rapidly address new and changing business rules to optimize IT systems. NLM processes the rules from implemented system models, existing table structures, or sets of raw data to guarantee databases match the design specifications.


New Systems


  • Eliminate “spreadsheet hell”
  • Implement rules that perform repetitive tasks
  • Utilize skilled labor pool cost-effectively


  • System integration
  • Employee productivity
  • Bottom line profits


  • Data errors and system conflicts
  • Change management costs
  • IT maintenance investment

data integration with natural language modeling from Sharp Informaticsdata integration with natural language modeling from Sharp Informatics

Existing Systems


  • Perform forensic analysis
  • Fix conflicting rules and requirements
  • Integrate disparate systems


  • Extract structure from raw data
  • Establish IT architecture standards
  • Prove requirements compliance


  • Data models and systems
  • Commercial Off The Shelf (COTS) products
  • NLM training for IT professionals


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