⟶ RULES-DRIVEN DATA TRANSFORMATION
DataMerge transforms fragmented legacy and current-system data into validated, target-ready datasets—so you can move forward with confidence.
TRUSTED BY FINANCE AND ACCOUNTING LEADERS
CASE STUDY · ESTECH SYSTEMS, INC.
During an engagement with ESI, Kym Feltus worked on a complex telecom billing and ASC 606 financial-data transformation involving legacy and current-system data.
The legacy population lacked a critical customer-item identifier required by the newer environment. The processing solution reconstructed approved relationships, normalized source information, applied confirmed logic, and isolated exceptions.
Claims reflect reported project scale and client outcome; they are not presented as independently audited statistics.
ONE TRANSFORMATION PLATFORM
Accounting expertise. Data intelligence. Software engineering.
DATAMERGE MANAGED SERVICES
One solution across the disciplines that normally require multiple handoffs.
DATAMERGE SELF-SERVICE
TRUST BY DESIGN
DETERMINISTIC BY DESIGN
You define the required outcome and approved business/accounting rules. MASS DEVELOPMENT GROUP configures DataMerge to apply those rules consistently across the population.
Professional judgment stays with people. DataMerge does not silently invent accounting judgments. Conditions requiring judgment are surfaced for review.
SYNTHETIC SOURCE
Company Code LEG-01GL Account 54120Posting Date 2026-03-15APPROVED RULE · SYNTHETIC EXAMPLE
IF Company Code = LEG-01
AND GL Account = 54120
THEN Target Account = 720100RESULT
Target Account 720100Status TransformedLineage LEG-01 / 54120 → US-01 / 720100A SIMPLE ENGAGEMENT MODEL
Source data, target requirements, approved mappings and rules.
DataMerge around the transformation requirement.
Mappings, rules and transformations across the population.
Exceptions and items requiring professional judgment.
Target-ready data, lineage, exceptions and validation summary.
THE MASS DEVELOPMENT GROUP DIFFERENCE
Financial requirements understood at the source.
Complex populations transformed programmatically.
Approved logic applied consistently at scale.
Processing logic evolves as project requirements change.
ENTERPRISE FAQ
Not necessarily. Enterprise processing can be designed around customer-approved environments and engagement-specific security requirements.
DataMerge is designed to preserve source data and produce controlled transformed outputs with lineage.
They are preserved and surfaced as exceptions rather than silently discarded.
DataMerge can apply approved deterministic accounting or business rules. Conditions requiring professional judgment are surfaced for review.
Organizations can request a Secure Data Pilot for controlled evaluation involving their own data. Do not upload confidential, regulated, or production data to the self-service application.
THE PATH FORWARD STARTS HERE
Let’s turn complex data into a clear path forward.
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