How OpsPilot Enhances Forensic Data Gathering: Automated Data Collection for Faster IT Issue Resolution
Streamlined Forensics: How OpsPilot Automates Data Collection for Rapid IT Issue Resolution In fast-paced IT
Optimizing Data Flow and Ensuring Robust Security for Effective Campaign Execution
DemandScience is a data-driven marketing technology company focused on lead generation and campaign management. The company faced the challenge of integrating and processing large volumes of data exported from a third-party system, with the need for efficient handling, security, and real-time error notifications.
Multiple files with up to 20 columns required proper conversion and ingestion.
Large XLSX files needed conversion to CSV for further processing.
A fully automated pipeline was necessary to handle file ingestion, processing, and error notifications in real-time.
Data security and lifecycle management were essential for compliance and storage cost optimization.
Streamlined Forensics: How OpsPilot Automates Data Collection for Rapid IT Issue Resolution In fast-paced IT
Revolutionizing Hospitality: IoT-Powered Content Delivery and Cloud Solutions for Enhanced Guest Experiences IntroductionThe hospitality industry
S3 Bucket Setup: Created secure storage with lifecycle management to handle data from third-party systems. This reduced manual intervention and optimized costs.
Lambda Automation: Automated file conversion and transfer, ensuring smooth processing of large datasets with real-time error logging.
Snowflake Integration: Ingested and processed data with automated tasks for duplication management, ensuring accurate campaign and lead tracking.
Error Handling & Notifications: Real-time email alerts for file ingestion failures and task errors, ensuring quick resolution.
PowerBI Dashboards: Enabled detailed, real-time reporting and insights through structured data in Snowflake.
Automated workflows process large data files without delays. Enhanced Security: Strong encryption and access controls ensure data protection.
Optimized storage with lifecycle policies reduced long-term costs. Improved. Data Quality: Upsert scripts and hash functions minimized data duplication, ensuring consistency.
Scalable solution that grows with increasing data volumes. Advanced Reporting: PowerBI dashboards offered real-time, actionable insights.
Automation and optimized storage reduced operational expenses.
PowerBI integration enabled real-time, data-driven decisions.
Real-time notifications reduced downtime, ensuring continuity.
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