A data migration strategy is the governing approach document that defines, at a strategic level, how data will be moved from one or more legacy systems into a new or upgraded target system. It is the decision document — produced before detailed migration planning begins — that settles the critical strategic questions: which data domains are in scope, what historical data period will be migrated, what data quality standard is required for migrated data, who owns the data cleansing process (business or IT), what validation standard must be met before migrated data is accepted into the target system, and what the approach is for data that cannot be cleaned in time — whether to migrate with known quality issues or leave in the legacy system. The data migration plan implements the strategy; the strategy determines what the plan will achieve.
Why This Matters in GCC and Egyptian Enterprise Programmes
Data migration strategy in GCC enterprise programmes must address a regional data quality reality that is frequently underestimated at programme initiation: legacy financial data in many GCC enterprises was captured during a period of rapid growth and system immaturity, and it reflects the data practices of that period. Fixed asset registers may be maintained at the asset category level rather than individual asset level. Chart of accounts history may include archived codes that were never formally retired. Arabic-language data may have been entered using inconsistent transliteration standards — the same name encoded differently across multiple records. The data migration strategy must acknowledge these realities and establish the cleansing standard that is achievable within the programme timeline, not the cleansing standard that would be ideal if time were unlimited.
What Good Looks Like
An effective data migration strategy makes three decisions explicitly. First, the scope decision: which data is migrated (master data, open balances, historical transactions — and for how many years), and what is left in the legacy system. Second, the quality decision: what is the minimum acceptable data quality standard for migrated data, and what is the process for data that does not meet the standard. Third, the ownership decision: who is accountable for data cleansing — the business team that understands what the data should look like, or the IT team that can execute the cleansing scripts — and what is the escalation path when data cannot be cleaned within the programme timeline. These three decisions, made explicitly and documented, prevent the data migration from becoming an unmanaged technical workstream where quality is not defined until the first migration trial reveals problems.
What Organisations Get Wrong
The failure that most frequently causes data migration to become the critical path of a programme is the business team not accepting ownership of data cleansing. Data cleansing is a business activity — it requires subject matter knowledge of what the data should represent — but it is frequently allocated to the IT team because IT “owns the systems.” When the IT team performs data cleansing, they apply technical rules to data whose business meaning they do not fully understand, producing a technically consistent dataset that does not accurately represent the business. The business team rejects the migrated data during validation, and the data migration is restarted with business ownership — at a point in the programme where there is no time to absorb the restart.
How Loop Wise Solutions Approaches This
We produce the data migration strategy as a workshop output — requiring the business and IT teams to make the scope, quality, and ownership decisions together, in the room, rather than allowing those decisions to emerge from the implementation process without explicit resolution. The strategy document is signed off by the finance leadership team before the detailed migration plan is produced, ensuring that the migration plan reflects decisions that the business has explicitly endorsed rather than technical assumptions that were never reviewed by the business.
