Delivering excellence in the digital era
Data Analytics Transformation, Now Simplified
If your enterprise data is draining resources instead of delivering value, it is time to think different.
The surge in cloud migration and massive volume of data generation amounts to incredible value. This is the perfect opportunity to tap into untapped.
However, the traditional data silos that lead to increasing data duplicity due to lack of security and governance would not cut it. How does an enterprise break free from them and overcome multiple challenges such as Data Volume, Variety and Velocity?
Enter STL Data and Analytics Services to simplify your enterprise’s transformation into a data-driven business.
We study, design, development, and support new complex mission-critical business applications for enterprise organizations. An end-to-end Data and Analytics experience, made possible by our expertise in complete services play.
Becoming a data-driven digital organization has never been simpler.
Discover a new, faster and more efficient way to generate actionable insights, streamline business processes, improve user experience and generate new revenue streams with data intelligence. Experience new growth via accelerated deployment of our customer data framework that fully meets your customer needs and business requirements.
- Align Data Strategy with Business Priorities
Design, develop, and implement the Enterprise Data Lake with a clear strategic vision.
- Improve Transparency with Process Alignment
Process alignment to designate specific individuals as owners of data sets and processes so that responsibilities, decision-making and access rights are clear.
- Enhance Agility for Building Data Lake
Agile Approach for building the Data Lake by the population of the data lake on the highest-priority business uses and done in waves.
- Design for Scalability, Integration and Deployment Options
A single and consistent structure that accommodates Diverse Data Structures, Data Domains, and Analytics Applications and supports the enterprise’s research and decision-making.
- Introduce Better Data Governance
Develop, implement, and enforce data governance strategies to ensure the data is secure, complete, consistent, and accurate, along with User access security.
- Experience the Advantages of Automated Governance
Automated governance to help ensure the data is trusted. Security and access control to protect data lakes against unauthorized access are vital considerations.
- Explore and Implement Standardization
Establish standards for data exploration, experimentation, and analysis.
- Integrate DevOps Methodology for Added Value
Implement the DevOps Methodology to get teams of experts to collaborate and bring out value from Data Lake quickly.
How STL Drives Impact with Data Analytics Transformation
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Our STL team comprises an accomplished set of data professionals passionate about data-led transformation.
- Cloud Data Specialty Certified Architect
- Big Data Architects
- ETL Architects
- Data Analytics Architects
- Data Scientists
- QA Leads and Engineers
- DevOps Leads and Engineers