“Data is the representation of facts as text, numbers, graphics, images, sound or video.   Information is data in context.   Without context, data is meaningless; we create meaningful information by interpreting the context around data… The resulting information then guides our decisions.”

Data architecture (DA) is defined as a component of Enterprise Information Architecture (EIA), and is concerned with the design and use of data in structured formats such as databases and file systems.  A data architect models the data in stages (conceptual, logical and physical) and must relate the data to each process that consumes or uses that data.

Data architecture can be further explained as a layered set of models that provides a solid foundation for strategic initiatives such as:

  • A data strategy, outlining the business’s aims and objectives for the improved collection and use of data.
  • Business process improvements.
  • Decisions on the future of new and changed systems.
  • Integration, data warehousing, and reporting initiatives.

Enterprise information architecture  is defined as “a holistic view on the flow of information in an enterprise, including the effects of the processes that act upon the data.”

It is the means of providing a structured description of an enterprise’s information, the relationship of this information to business requirements and processes, applications and technology, and the processes and rules which govern it, with many inter-related aspects, including applications, hardware, networks, business processes, technology choices, and data.

“EIA is the starting point for data modeling, design, and development to support business process needs… any new models or changes to existing models must be consistent with the definitions of existing information objects.”

So where Data Architecture is necessary to contain and organize the manifold data resources into a manageable system, Enterprise  Information Architecture is necessary to combine those resources into a structure that allows the dissemination of that information to be captured, shared, analyzed, utilized, and governed throughout the enterprise, across all lines of business, within all departments, with confidence and reliability.

Our Approach

Scyllogis works to understand your commercial objectives and organizational challenges to create successful DA and EIA strategies. We help to uncover end user insights to the deliver the most optimal solution. Scyllogis design strategies that will create functional architectures and make an immediate impact for your organization. We then support the entire design and build lifecycle through the architecture solutions that are implemented.

We start by interviewing employees, assessing current processes and creating a concept model. Our unique method of requirements gathering and validation via interviews, workshops and employee “shadowing” involves everyone in your organization throughout the project.

Our track record for designing and implementing DA and EIA solutions significantly enhances the accessabiliy and usability of your enterprise content. We follow a phased approach that insures your organization implements the right solution and offers full lifecycle services including:

  • Strategic operations assessment
  • Needs assessment and analysis
  • Technology evaluation and recommendations
  • Taxonomy/ontology development
  • Data architecture and design
  • Systems architecture and design
  • Implementation and checkpoint demonstrations
  • Change management planning

Let our team work with you to bring together the people, process and technology to transform your business processes with our data and enterprise information architecture services.

Contact us today to obtain an estimate.