Data Standards

The Challenge

The value of data has been growing steadily for many years, with data now being recognised as a strategic asset by many leading companies. However, not all data is useful. Flawed or inconsistent data can be highly misleading, it can impair business operations and can even compromise management insight and decision making. Businesses can solve this problem by following a consistent approach to data across functions. This can only be possible by establishing a clear and fit-for purpose data policy and standards.

What AG Provides

AG bridges the gap between business and IT by understanding business requirements and converting these into fit-for-purpose data standards. We then typically develop user-facing or integration tools that embed governance into the use of those standards.

Data standards can also be made available to business users as a frame of reference when entering data into SAP or other target system.

Our Approach

It can be a challenge to gain consensus across wider Stakeholders groups so our expert team typically start by engaging the Project Leads to define to establish a high level frame of reference (such as adherence to Industry Standards, etc). Then we work closely with internal Business Process Experts to gather the relevant business side information to ensure that all key business processes and scenarios are adequately catered for. Next we work together to develop and agree comprehensive and detailed Data Standard policies and documentation – going right down to individual data fields.

There will be some system review needed to ensure all system configuration and pre-defined values, master data object field data and business process transactional data are factored in. A few weeks down the line we present the outcomes back to the Project Leads and start to think about next steps, after all defining Data Standards is the getting the foundations right. We would invariably be invited to carry out some initial impact assessment and recommendation for potential remediation of legacy data as well as potential tooling and automation options to embed robust data governance practices going forward. High Quality Data Standards are a building block from which the strategic benefits of High Quality Data can become a reality.

Benefits of the AG Solution

User Friendly

Provides a term of reference.

Better Governance

Consistent approach to data entry.

Quality Outcomes

Improved data quality.

Better Insights

Stronger reporting capabilities.

Case Studies

AG is an independent SAP Consultancy, SAP Gold Partner and SAP Quality Awards Finalist. AG’s high quality, smart solutions effectively solve real-world challenges for some of the most successful businesses in sectors such as energy, oil & gas and consumer goods.

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Company Registration : 6335830