Architecture Design

Infrastructure should be designed to properly support business processes at hand. It is important to understand the business requirements, the expected utilization and then design the proper infrastructure to handle the processing required that meets all business and IT service level agreements.

Data Modeling

Most organizations possess and maintain vast amounts of data and rely on it to strategically run their business. Thus, the organization of this data into subject areas where relationships within the data are well defined is critical to support their analytics strategies. A proper data model is part of the foundation for a sustainable Corporate Information Factory (CIF).

Destiny Corporation’s Data Modeling service provides your organization with customized, business-specific solutions and will create effective data models that meet your current and evolving needs. Our experts employ both tool-based and manual methodologies to customize existing models or build new ones for enhanced business performance.


We build the following types of Data Models:

  • Entity Relationship (ER) Modeling: Modeling services designed for OLTP databases.
  • Dimensional Modeling: Modeling services designed for star schema and analytics.
  • Data Vault Modeling: Modeling services that can reflect the dynamic relationships within the data over time.
  • Business Modeling: Modeling services that incorporate BI tools and KPI driven dashboards for better business understanding. These models use open bus architecture to support future business needs.

Our Data Modeling services include:

  • Development Services: Our consultants actively work on the data models while providing education and knowledge to your organization’s participating team members.
  • Mentoring Services: We lend advice and support when you need it.
  • Quality Assurance Services: We review your models and make best practice recommendations

Data Warehousing

A Data Warehouse is the foundation of any business intelligence implementation as well as a successful BI program. Data warehousing incorporates data stores and conceptual, logical and physical models to support business goals and end-user information needs. Creating a DW requires mapping data between sources and targets, then capturing the details of the transformation in a metadata repository. The significance of a Data Warehouse lies in the fact that it provides a single, comprehensive source of current and historical information.

Regardless of whether you are searching for a Data Warehouse to support your entire enterprise or a smaller department within your organization, Destiny Corporation’s data architects will help conceptualize, design and implement your data warehouse solution.



  • Cloud Offerings
  • Columnar Databases
  • Data Marts
  • Data Warehouse Appliances
  • In-Database Processing
  • In-Memory Databases
  • Legacy Databases
  • Massively Parallel Processing (MPP)
  • On Premises
  • Scalability
  • Security
  • Storage
  • Stored Procedures
  • User Defined Functions

ETL/Data Integration

In today’s business world, the need for timely, integrated and trusted data in a centralized location for reporting and analysis is more important than ever.  Organizations are looking to incorporate unstructured data (media, images, etc.), augment internal data with data from external sources and move it to a more “real-time” environment. The integration of such disparate data can be a complex and often daunting task.

Data Integration is fundamental to enterprise information management/data warehousing initiatives. An effective data integration strategy, architecture and supporting infrastructure and processes are vital components in the delivery of analytic solutions. While Extract, Transform and Load (ETL) is still a commonly used technique for a data warehouse focused data integration, the evolution of technology coupled with the growing sophistication of data consumers has driven the increasingly complex nature of data integration. Moreover, rising end-user requirements for “real-time” data intensifies the demands on a data integration infrastructure, while scorecards and dashboards enhance the expectation of seamless visibility into data.

As the capabilities of technical infrastructure have expanded, initiatives like Enterprise Information Integration (EII), Enterprise Application Integration (EAI), Master Data Management (MDM) and Product/Customer Data Integration (PDI/CDI) are viable components of EIM. Destiny Corporation provides expertise spanning the continuum of data integration.



  • Data Architecture– Optimizing database availability and usage based on an understanding of business information needs, logical and physical data modeling and other activities
  • Data Governance– Maintaining principles, policies, procedures and standards for the effective use of data
  • Data Integration– Using ETL/ELT processes to create a consistent, relevant and trusted view of data across business units and subject areas
  • Data Quality– Assessing whether current data assets are fit for their intended use
  • Data Security and Privacy– Ensuring regulatory compliance across data subject areas, including monitoring and audit capabilities
  • Data Stewardship– Orchestrating the day-to-day activities of creating, using and retiring data
  • Master Data Management– Creating consistency in reference and relationship data regarding product, customer, supplier and organizational issues
  • Metadata Management– Organizing the people, processes, and technical components needed to ensure that metadata is easily accessible, consistent, current, accurate and complete
  • Unstructured Data Integration– Extracting meaning from text using various linguistic techniques, adding structure and blending it with numerical data for analysis


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