Client
Our client, a Fortune 500 international mining giant headquartered in the United States and extending its influence across Asia and the Americas, commands a noteworthy revenue of $20+ billion with a dedicated workforce of 24000+. As a forward-thinking industry leader, our client actively pursues innovation and pushes the boundaries for operational excellence and sustainability in the mining sector.
$20+ billion in revenue
Challenge
Business Challenges
Enterprises frequently face the complexities of managing technical debt and optimizing resources within their data environment, especially with on-premises databases and outdated components. Shifting to the cloud was imminent.
Faced with a surge in data volume, variety, and complexity from diverse sources, our client was keen on harnessing the transformative power of cloud architecture to elevate their operational efficiency and strategic decision-making.
Our client faced operational challenges and struggled to establish a seamless structure for its operations. Data management was cumbersome resulting in fragmented interdependence. Collaboration among teams in different locations could be better, and adapting to market changes without data posed a resource-wastage challenge.
Our client’s data ecosystem lacked the flexibility needed for various uses, impacting their responsiveness to new requirements. They missed out on leveraging powerful new age tools for growth like analytics and machine learning, essential for informed decision-making in operations and sourcing, which directly influenced return on investment.
Security remained a concern as they navigate industry rules and regulations without the added protection implementing stringent access controls, encryption, and authentication. Providing built-in compliance tools and certifications, ensuring proactive measures, and fostering transparency and accountability through efficient traceability of data activities was another critical requirement.
Challenges without a Cloud
Moreover, when they decide to shift to the cloud, unlocking the advantages of its sophisticated data sharing, analysis, and application tools can pose additional challenges. Our client was facing challenges that resulted in:
- Poor data optimization and performance
- Reliance on batch data processing preventing real-time data analysis
- Inability to scale to meet business demands
- Cost prohibitive data processing for large datasets generated by IoT sources
- No advanced self-service capabilities for multiple user profiles
- Limited ability to innovate and make use of secure and efficient Modern Data Stack (MDS) data sharing and SaaS frameworks to enhance the capabilities of data sharing, analysis, and application development
- Time To Live (TTL) lags in delivering data products to internal and external consumers
- High Total Cost of Ownership (TCO)
Solution
Cloud Transformation with Snowflake
Hexaware’s innovative automation solution, fueled by Snowflake, orchestrated a seamless transition for our client’s data. Initially residing in Teradata and Hadoop, the data found a new home in a Snowflake data warehouse. This migration not only streamlined data storage but also set the stage for enhanced analytics capabilities within the Snowflake ecosystem.
A significant leap in data analytics was achieved through the integration of IoT streaming data. Hexaware’s solution intelligently routed this streaming data, now housed in Snowflake, to Azure Databricks via Event Hub. This strategic move facilitated real-time data analytics, empowering our client with timely insights into their streaming data sources. The collaboration between Snowflake and Azure Databricks created a dynamic ecosystem for advanced analytics on IoT data.
To ensure a comprehensive data landscape, Hexaware leveraged Azure Blob Storage to transfer historical data into Snowflake. This strategic use of Azure Blob Storage contributed to a holistic data environment within Snowflake, allowing our client to harness the power of historical data alongside real-time insights, all seamlessly integrated into the Snowflake platform.
Rapid, reliable transformation with Hexaware’s Amaze® platform
We leveraged our proprietary Amaze® platform for automated assessment, conversion, and validation during transformation.
1) Assessment
- Automated knowledge repository creation of legacy DW
- Coding design pattern identification for analyzing workloads
- Optimized schema, leveraging Snowflake functionalities like clustering keys, file size for blob uploads, etc.
- Logical grouping of workloads into transformation units
2) Transformation
- Automated code conversion to Amaze® (~70%)
- Automated code patterns for Snowflake
- Query editing for optimized fixes and performance tuning
3) Validation
- Data validation to ensure correctness of migrated data
- Table schema validation to check accuracy of automated transformation.
We delivered:
- Up to 80% automation for transforming Teradata objects like Tables, Views, SQL Structures
- Up to 80% automation for transforming Teradata objects like Macros, Procedures, Inbuilt Function
Benefits
The Amaze® Difference for Snowflake Cloud
- 70% effort reduction vis a vis manual execution
- Code analysis report to help in understanding code complexity
- Overall reduction in environment transformation timelines
Data and Insights Benefits
Triple Speed Load
3x faster data loading.
50% TCO Savings
Savings of 50%, reduced TCO, and system management time.
Quick Business Reports
50% faster Business Operations report execution.
Strategic Insights Delivery
Delivered deep insights, saving costs, ensuring confidence in decision and mitigating business risk.
Business Performance Benefits
Mining Asset Life Extension
Extended asset life, improving efficiency in mining operations.
Equipment Uptime Optimization
Improved equipment uptime through planned preventative maintenance.
Mining Resource Efficiency
Eliminated choke points, reducing idling and fuel consumption.
Enhanced Safety Measures
Advanced driver assistance system for enhanced worker safety.
Summary
The strategic move to Snowflake cloud resulted in threefold faster data loading, a substantial 50% reduction in Total Cost of Ownership (TCO), and accelerated business report execution. By optimizing data storage, Hexaware enabled advanced analytics, real-time IoT data streaming, and efficient historical data management.
This transformative shift not only enhanced operational efficiency, extended asset life, and improved equipment uptime but also funded a strategic S/4HANA project. Hexaware’s expertise has not only propelled our clients’ data ecosystem, but positioned them as industry innovators for years to come.
