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Reference Data

Reference data provides foundation information for other data or systems, which means that these key data items need to be defined and distributed in a standard manner. Many organisations have what should be reference data stored in different places due to past systems or organisational structures thereby leading to higher costs and inferior reliability. However it can be a difficult task to actually define reference data, to implement it technically and to create the management processes that are required to support change.

Data that is defined clearly and in a suitable format can be shared between applications and departments. Arc provides expertise to do this, to design for change, and to design to standards that are both mathematically and logically sound. Arc brings experience from different industries and techniques that have been tried and tested.


Product Data


Product can mean different things to different industries, and different things to those within the same organisation depending on their role and view of the business. Within many sectors product can also have the challenge of being virtual and complicated by the fact that rights and intellectual property agreements are attached to different components of the product. Virtual products do not fit the concept of bill of materials or specifications easily.

Product data describes the building blocks, the components, and the increasingly the intangibles such as rights that make up a product, which should in theory be easily available to businesses. The challenge however is that product data is rarely systemised well because it is very complicated to represent, to write down, or to load into an IT system. Product data is often scattered across an organisation and across outside partners, and stored in different formats that are incompatible, which results in it being very expensive or painful to access.

Formalising product data means that it becomes possible to search and retrieve up to date product data quickly, and it becomes possible to aggregate and merge different sources of data so that organisations can prevent the loss of time, effort and duplication of mistakes. It also means that product knowledge is formalised and captured within the organisation rather than only been known by experienced staff members. This enables organisation to respond far more quickly to the changing market.

Arc provides highly skilled product data modelling expertise to systemise product data, to pull in and share out data with partner organisations, and to overcome the hurdles of incompatible formats and systems. Arc also provides experts who have deep insight and practical experience of implementing product data models that can handle the intangible, but complex intellectual property rights attached to products.

Find out how you can successfully model product data and intellectual property rights...

People Data


Organisations are increasingly changing management structures more frequently and the rise of project teams that span departments or partnering with outside agencies means that poorly defined data structures related to people become a business hindrance. Structuring data by individual, role, department or job title impacts how an application, a workflow or a business process will work.

There are many examples of systems hindering productive work all over organisations. From intranets that have empty sections because every piece of content requires authorisation, to project management drives being inaccessible to outside contractors, to employee profiles being inaccurate within HR systems because particular skills are not listed.

Data about people needs to balance consistency over time to the fact that change is constant. Tying an application or a process into today’s organisation chart will result in future pain. If you want effective data about people then it is time to think differently.

If you want to know how to structure data about your people effectively, talk to Arc.
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