Many organisations struggle to align business goals with the realities of their SAP and ERP data landscapes.
Data is often oversized, outdated, and fragmented across silos — leading to unreliable reporting, rising storage costs, and increased compliance risks.
Transformation programs are burdened by redundant and irrelevant data, driving up complexity and cost.
AI solutions and innovations fall short when built on data that is untrusted, opaque, and poorly governed.
The result? Slower projects, greater risk and complex operating environments.
We help IT leaders, SAP managers, and enterprise architects make informed data decisions before transformation begins:
What data is active, valuable, and in use — and what’s just taking up space?
Where is redundant or outdated data adding risk and cost?
How can you reduce data volume and complexity — without disrupting the business?
Clarity on your data landscape is the first step to a faster, safer, and more cost-effective transformation.
Identify active vs dormant organisational structures (company codes, plants, cost/profit centres, etc.) using SAP Readiness Check and transaction profiling.
Analyse SAP and non-SAP document storage. Propose reduction/archiving strategies to reduce footprint pre-migration.
Assess open items (e.g. purchase orders, billing docs, sales orders) and recommend cleanup or archiving strategies.
Profile completeness, accuracy, duplication, and governance for vendor, customer, material, and asset data. Assess Informatica MDM for future-state alignment.
Review legacy data objects like workflow logs, change pointers, IDocs to improve performance and reduce system noise
Identify dormant GL accounts and reconciliation inconsistencies through SAP technical analysis.
Gain clarity on what matters
Quickly identify which parts of your SAP system are active and essential — and what can be safely decommissioned or archived.
Reduce data volume and cost before migration
Shrink your footprint by identifying and cleaning up outdated documents, unused content servers, and redundant technical objects.
Improve system performance and reliability
Eliminate legacy clutter such as IDocs, workflow logs, and change pointers that slow down your system and increase risk.
Strengthen master data quality
Identify gaps, duplicates, and governance issues in vendor, customer, material, and asset data to support a clean and trusted core for S/4HANA.
Expose hidden risks in open transactions
Uncover aged or incomplete transactions across purchasing, sales, and billing processes — and resolve them before they impact the future state.
Build a roadmap based on real system usage
Use objective data insights to model your target S/4HANA architecture and address gaps between current and future-state designs.
“Glynn (emphasys Principal) led the SAP integration with Schneider Electric’s ecommerce solution “MySE” which has now become our Global platform with over 50 Countries implemented and close to 2B Euros in Sales Orders. Glynn provided a very balanced approach to our solutions with the Technical strengths and leadership with a very hands on practical approach, and managed a cross functional off shore development team.” – Chris Edmonds eCommerce Business Manager – Schneider Electric
As organisations grow, disconnected systems and fragmented data often get in the way of efficiency, clarity, and control.
At Emphasys, we focus on aligning Data, Integration, Business processes, and Enterprise architecture — so your systems work together, not against each other.
Our proven frameworks and practical guidance help you make confident decisions, reduce complexity, and unlock measurable value from your SAP landscape.
Discover how Emphasys can help your organisation—contact us today for a free discussion on your programs challenges.
