Unlock Buyer & Account Intelligence in Microsoft Azure Data Lake Storage (ADLS) with Draup
High-performance analytics storage. Draup data in ADLS supports complex queries, data lakes, and workforce intelligence models at scale.
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Why Microsoft ADLS + Draup for Sales?
Draup’s account, buyer, and market intelligence aligns seamlessly with Azure Data Lake Storage’s high-performance analytics environment. Sales teams can unify external signals with internal CRM data, uncover hidden opportunities, and activate advanced revenue models, all inside a secure, scalable Azure environment.
About Microsoft Azure Data Lake Storage (ADLS)
Azure Data Lake Storage combines enterprise-grade security with high-performance analytics. It is built for big data, enabling organizations to run complex queries and manage large data lakes.
How the Integration Works
- 1Stream Draup’s account and buyer datasets directly into Azure Data Lake Storage.
- 2Store & organize external intelligence within your ADLS data lake structure.
- 3Blend Draup insights with CRM and sales datasets hosted across Azure services.
- 4Analyze revenue signals, buyer movement, and opportunity trends using Azure analytics tools.
GTM teams with Microsoft ADLS + Draup see
- More accurate targeting powered by external market and buyer intelligence.
- Faster forecasting and revenue modeling using high-quality, structured data.
- Improved competitive awareness across markets and industries.
- AI-ready foundation to unlock next-generation sales analytics.
What you can do
- Identify high-potential accounts by combining internal CRM data with Draup’s buyer signals.
- Power predictive revenue, churn, and upsell models using unified intelligence stored in ADLS.
- Prioritize territories and industries with strong opportunity indicators.
- Track competitor movements, GTM shifts, and strategic hiring patterns at scale.
Draup Works Wherever Your Teams Work
Draup connects with 30+ CRMs and sales platforms, so your sellers, marketers, and RevOps leaders get intelligence in the tools they already use.
By filling up this form, you agree to allow Draup to share this data with our affiliates, subsidiaries and third parties
Frequently Asked Questions
What type of sales intelligence does Draup bring into ADLS?
Draup enriches your data lake with structured account, buyer, and market signals to enhance sales analytics.
How does Draup typically align with Azure Data Lake Storage?
The integration is designed to fit naturally into existing Azure workflows, enabling teams to access enriched datasets smoothly.
Can this improve sales forecasting?
Many teams leverage the combined intelligence to sharpen forecast models and uncover revenue-driving patterns.
Which teams benefit the most from this integration?
Marketing, sales, SDR teams, and RevOps generally see the strongest improvements.
How frequently is the intelligence updated?
Data refreshes occur everyday so teams stay aligned with the latest account and market movements.
Does this help with AI, copilots, or forecasting tools?
Yes, structured Draup datasets often support AI-driven GTM workflows and predictive revenue models.
Impactful insights, delivered real-time
Access insights via API, custom data feeds, the Draup platform or using MCP
APIs & Integrations
Best for
Embedding live insights in workflows without storing data
- Native integrations with 33+ CRMs, like Salesforce, Hubspot, Microsoft Dynamics CRM, etc.
- Real-time access to critical data
- Enhanced security and data Integrity
- Efficient API performance with flexible limits
Custom Data Feed
Best for
Analytics at scale & joining Draup with internal data
- Highly customizable feeds for workflow needs
- Scheduled pushes to data lakes/warehouses (S3, ADLS, BigQuery, SFTP)
- Scalable use cases with the data
- Integrates with internal data assets for co-pilots/agents
Draup Platform
Best for
Fastest time-to-value,
no build required
- Ready-to-use UI with 200+ productized use cases & workflows
- Leverage visualizations & workflows to drive seller action with no overhead
- Enterprise controls: SSO, RBAC, governance
- Integrates UI & functionality into CRM apps
Model Context Protocol
Best for
Real-time Al workflows & LLM applications
- Native integration with Claude, OpenAl, and MCP-compatible Al tools
- Zero ETL, models query live data without pipelines or reindexing
- Governed access with token-based scopes, Pll masking, and audit trails
- Grounded, real-time data prevents LLMs from generating outdated or inaccurate insight
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