IM Systems is a consulting organisation that specialises in information management (IM). Being a boutique company that recruits highly experienced IM practitioners, we are able to provide to our clients a dedicated focus on all aspects associated with IM.

Information Management Health Chceck

Information Management Health Chceck

The IM Health check provides a benchmark of an organisations information management program against a comprehensive best practise model.

We look at an organisations overall data governance approach including the existing information organisation and its core capabilities, the IM project methodology, and the approach to managing data quality.

The overall enterprise architecture including the BI platform are also included in the health check.

The benchmark is performed against IMS’s own information management model which is compliant with industry standard models such as DMBOK, MIKE2.0 and TOGAF.

A health check is typically time boxed at 2-3 weeks, with the key deliverable being a report and presentation covering the health of the organisations overall IM program, and the key opportunities for delivering more value.



It is widely accepted that data is being seen as a corporate asset – but many organisations have not given it the focus that is needed.

As a result inefficiencies and inconsistencies arise, ultimately making organisations more difficult to deal with.

In response to this, senior management now want to ensure that there is a better understanding of how data and information is used across the organisation. Having this insight gives direction to lower operational costs, increase revenues and better manage risk.

IM Systems has a proven 3-phased approach to not only develop an information strategy, but importantly to gain the internal buy-in to the strategy recommendations, and ensuring that the way-forward delivers pragmatic tangible business benefits.

Business Architecture

Business Architecture

Establishing a clear architectural framework of the business is a significant step for many organisations to be able to take a leap forward in their business maturity, rather than the incremental steps that many organisations are willing settle on.

Having an understanding of how the numerous business functions within an organisation fit together enables better delineation of roles and responsibilities.

With the knowledge and awareness of the management and usage of data across organisations, IM Systems is able to work with organisations to define the business architecture and the associated data overlay.

Business Requirements

Business Requirements

A practical approach to defining business requirements is an essential part of business and technical projects.

Having an understanding of the data aspects at the time of business requirements gathering will invariably result in a better understanding of what is required, plus a reduction of overall business / project costs and complexity.

For example:
  • a clear understanding of the data needs up-front enables proper design of systems and test cases to ensure that what is being developed is actually what the business wanted

  • having an understanding of data quality up-front, we're able to anticipate the variants that need to be catered for in the business requirements.

  • there is a measurable reduction in re-work time and effort that result from unanticipated requirements / gaps.
  • Data Quality

    Data Quality

    Data Quality (DQ) initiatives are not popular, and are often difficult to raise a business case for. However, the potential business benefits derived from undertaking DQ initiatives are considerable, and can readily impact an organisations bottom line.

    At IM Systems we have the understanding and know-how to work with organisations to bring an improvement in the quality of their data through a combination of process and systems analysis / improvements, which in turn leads to one or more of the following:

  • increase revenues – through greater levels of correlation / matching between records, you can achieve higher levels of cross-sell; more accurate segmentation; identify new opportunities

  • reduce costs – improve staff efficiencies through less re-work / touch-points; reduced lead-times thereby avoiding financial penalties

  • reduce risk – greater confidence in the compliance / regulatory reporting; reduced reputational impact through data related system outages.