Ensuring and sustaining data quality remains one of the biggest challenges for enterprises in this data-driven era. In a recent Cloudingo survey, around 43% of the respondents were dissatisfied with the quality of their Salesforce data.
Common data related challenges faced by companies include:
- Duplicate and redundant data
- Data insufficiency
- Data volume and storage limitations
- Data back and archival challenges
- Inadequate data validation and automation of data completion
We bring expertise in understanding data and its importance for organizations and help you optimize your data management.
We use a combination of tools and algorithms supplemented by a manual effort to clean and dedupe your data. We also look at data that is redundant, data with insufficient information (low quality junk data) and help clean these up.
We can help you leverage third-party tools and supplement with manual efforts to help enrich data that is important to you.
Since storage in Salesforce is limited and expensive, we help you automate backup and archival of data to external databases or Big Object storage in Salesforce.
Data Management Solutions
We can help you with best practices in terms of data model design, auto archival (or deletion) to ensure that you never run out of storage in Salesforce.