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Frequently Asked Questions
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General
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We support a wide range of export formats to fit your business and analytics needs. Data can be delivered as flat files (CSV, TSV, or custom-delimited), relational database tables, cloud object storage (S3, Azure Blob, Google Cloud Storage), or directly into data warehouse destinations like Snowflake, BigQuery, or Amazon Redshift. Custom formatting and schema mapping are also available.
Yes. We ensure that your exported data is compatible with leading reporting and analytics platforms. Data can be structured and formatted to import seamlessly into tools such as Tableau, Power BI, Snowflake, or Looker. Flat files can be customized with your preferred delimiters, headers, and encoding for smooth integration with your existing workflows.
Our migration process is designed for speed, transparency, and control:
Connect & Configure: Use our intuitive interface to connect your endpoints, define mappings, and set export parameters.
Extract & Structure: We securely extract your data—preserving metadata, relationships, and history—and organize it into your chosen format or destination.
Automate or Export: Run a one-time migration or schedule recurring syncs. Every export is secure, auditable, and fully configurable for your ongoing data needs.
Check out our videos
AI Readiness
Explore how Sesame Software prepares your enterprise data for AI and ML — clean, governed, and ready to power intelligent business decisions.


Data Pipelines: Take Control of Your Enterprise Data
Data doesn't sit still. It moves between CRMs, ERPs, cloud platforms, and analytics tools — constantly, at scale, and often without adequate oversight. For modern enterprises, the ability to control that movement isn't a technical nicety. It's a business imperative.
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Before You Build on AI, Check What's Underneath
AI doesn't just consume data. It acts on it, transforms it, and in many cases writes it back into your systems at a scale no human team ever could. That's powerful. It's also a new category of risk that most data protection strategies weren't designed for.
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Salesforce Backup and Recovery in the Age of AI-Driven Data Changes
AI automation is accelerating how Salesforce data is updated, but it also increases risk. A single faulty workflow or integration can change thousands of records in seconds.
Because of this, Salesforce backup and recovery is essential. Organizations need visibility into data changes and the ability to quickly restore accurate records. Having a reliable solution in place before an incident occurs helps prevent disruption and protects data integrity.
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Realistic Objectives for AI Projects: Why AI Readiness Depends on Understanding Your Business
AI initiatives don’t fail because of bad models. They fail because objectives, data, and business processes aren’t clearly understood first. In this thought-leadership piece, Sesame Software CEO Rick Banister explains why AI should be treated as a tool, not a goal, and how examining data quality and workflows during the discovery phase often delivers more value than deploying AI itself.
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Building AI Readiness: How Leading Enterprises Prioritize the Right Initiatives with the Right Tools
AI is now part of every conversation. CIOs are being asked where AI fits, how fast it can be deployed, and what needs to happen first. But as with any new technology wave, not every problem is an AI problem.
Dec 9, 20253 min read
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