Effectively leveraging large amounts of digital content that fuels the success of an organization becomes increasingly difficult as the amount of content to manage grows annually. In the absence of a viable Information Architecture, a company/organization and its customers struggle with finding the information they need when they need it. The underlying problem typically is that content is not classified or described in a way that makes it accessible by company's/organization’s employees or automated systems.
Additionally, this content is stored on shared drives or on desktops without effective access control. This same content is usually produced or assembled from external sources in an ad-hoc manner, relying on processes that use outdated desktop oriented technologies and manual activities. Even in cases where a robust Information Architecture system does exist, companies/organizations can struggle mightily with seemingly insurmountable volumes of content that are manually classified, placing a strain and additional workload on your personnel.
Information Architecture is a specialized skill set that interprets information and expresses distinctions between signs and systems of signs. More concretely, it involves the categorization of information into a coherent structure, preferably one that the intended audience can understand quickly, if not inherently, and then easily retrieve the information for which they are searching for.
The organization structure is usually hierarchical, but can have other structures, such as concentric or even chaotic. Typically this is required in activities such as library systems, content management systems, web development, user interactions, database development, computer programming, technical writing, enterprise information architecture and critical system software design.
In the context of information systems design, Information Architecture refers to the analysis and design of the data stored by information systems, concentrating on entities, their attributes and their interrelationships. It refers to the modeling of data for an individual database and to the corporate data models that an enterprise uses to coordinate the definition of data in several, perhaps hundreds of distinct databases.
Netlocity guides you through every stage in creating visual designs and information taxonomies. 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 company/organization throughout the project.
Netlocity works to understand commercial objectives and organizational challenges to create a successful strategy. We help to uncover end user insights to the deliver the most optimal solution. Netlocity helps craft a design strategy that will create an immediate impact for your business/organization. We then use those designs to translate them into a functional information architecture. Netlocity then supports the entire design and build lifecycle through information architecture solutions that are implemented.
Netlocity has a proven track record for designing and implementing information architecture solutions which significantly enhance the search ability 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:
Let our team work with you to bring together people, process, and technology to transform your organization with our Information Architecture Services & Solutions.
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