When moving to a new business solution, it is essential to retain as much of your data as possible. It is also just as essential to cleanse and eliminate duplicate and out-dated information in the process.

We totally get this! Our data migration services provide an unparalleled expertise in creating an optimal migration strategy. Our experience and time-tested methodologies ensure an efficient, non-disruptive data migration for our customers.

  • Over 10 years of experience in providing data migrations

  • Boilerplate migration templates

  • Time-proven testing and validation processes

  • Experience migrating from Salesforce, ACT, GoldMine, Zoho, SugarCRM and others

Passionate – Dedicated – Professional

The steps we follow to
Migrate Data

Discovery

During discovery, our team inspects that various source systems, file systems, applications, etc that will be in the migration scope. Typically these efforts involve analyzing source system documentation and gathering metadata. This information is crucial when developing the overall data migration strategy, determining the scope of work, ensuring business rules and conversion logic have been established for all data sources, and that all data sources have been identified.

Extract & Profile

Our analysts use data profiling tools to analyze and profile data in the source systems. This systematic examination reveals the quality, content, and structure of source data. The information revealed from these activities helps our team determine how to cleanse and conform the data, and also aids in the development of business and conversion rules.

Cleanse

Data migration specialists use the results from the Profile step to aid in cleansing the data. Cleansing the data includes de-duplication, matching, and merging of data records. Source-to-target field mapping documents developed by business analysts and data team members include business rules and conversion logic to guide the development of cleansing transformations. The deliverables from the Profile step allow ETL developers to begin their work on transformation logic.

Validate

Before data is loaded into the target systems it must be validated by functional team members and business users to ensure the data conforms to all business requirements and is complete and correct. This process is referred to as pre-load validation and involves generating pre-load validation reports. The ETL developer, functional team member and business users will conduct review sessions and fix any mapping issues before loading. The business will sign-off on the pre-load report and the ETL developer is ready for loading.

Load

Data loads typically occur in accordance with the Cut-over and Go-Live phases of the target system. Master data is loaded into the system before dependent downstream objects can be loaded. Transactional data is usually loaded during a tight time window to ensure business operations are fully functional when the system goes live.

Reconcile

The data team generates post-load reports and compare these against pre-load reports. Statistical samples are also taken and evaluated by team members to ensure records have been loaded accurately and completely. The business are the ultimate owners of the data and must sign-off on the post-load validations.

Passionate – Dedicated – Professional

Why work with us?

Industry Experience

We have over 20 years of experience implementing Microsoft Dynamics 365, and we leverage that experience to build beautiful and simplistic software.

Technology Experts

Our consultants are mature experts in their domain with an average 15 years of domain experience

Ongoing Support

Our relationship doesn’t just end with a solution handover. It begins there! Our support team continues to engage you on an ongoing basis.