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When moving from a legacy platform to a customized Salesforce solution, HALOS faced difficulties with migrating their business data due to differences in data models between the two systems. We transformed their data to adapt to Salesforce’s data model and migrated large volumes of records and attachments from the legacy system to Salesforce
Helping and Lending Outreach Support (DBA HALOS) is a non-profit organization that provides support and services to kinship caregivers. The company offers tailored support to help each family succeed in caring for their children, operating as a one-stop shop for information, referrals, and other services.
Working with the amazing team at Itransition was such a positive experience! From the sales team to the technical experts, everyone was friendly, professional, and knowledgeable. I set a pretty ambitious timeline, and they remained right on schedule. It was great to see their dedication and attention to detail throughout the process. Overall, it felt like we were all in it together, making the whole journey smooth and enjoyable!
Industry
Non-profit
Location
USA
Established
1997
Impact made
Hundreds of kinship families helped yearly
To support their evolving business processes, HALOS migrated from a legacy case management and data tracking system, CiviCore, to a scalable and integrated Salesforce platform customized to their unique workflows. They needed to migrate a large volume of variably structured data to their new system. However, differences between the Salesforce and CiviCore data models and business processes required comprehensive data transformation and pre-migration preparation.
We conducted an in-depth analysis of the company’s data landscape and identified the scope of required data migration activities, which appeared to be wider because of the availability of additional custom objects.
We used CiviCore’s built-in capabilities to extract data from the legacy system and manually cross-referenced generically or ambiguously named data fields with the live system to correctly identify and rename columns.
Since the Salesforce data model imposed strict structural requirements and was built around a new business process, we worked closely with the customer to define rules for data cleansing and restructuring, aligning data organization with Salesforce’s data architecture and helping minimize future data maintenance efforts.
We developed a TypeScript-based data transformation engine to automate:
For attachments that were stored in SharePoint and weren't part of the CiviCore database, our team developed a dedicated automation script to download and organize them and match each of them to the related user.
Once the data was cleaned and transformed, we imported records and attachments to Salesforce following a carefully planned sequence to avoid dependency issues, starting with primary data, such as accounts and contacts, and then migrating custom data objects.
To ensure data quality and identify any areas requiring manual corrections, we uploaded several initial batches of data to the sandbox environment for thorough testing and validation.
Our team conducted an ongoing data validation after every load, ensuring data integrity and resolving detected issues if any. When comparing the completeness of Salesforce data with the original CiviCore records, we focused on high-volume, high-complexity records with multiple relationships since their migration was the most issue-prone.
After migration testing and signoff by the customer, we transferred all records and attachments to a live Salesforce environment on schedule.
We helped HALOS transform large volumes of data and migrate it from the legacy system to Salesforce within a tight timeline. As a result of the project, HALOS could:
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