Our Services
Data Drives the World
S4S IT is uniquely positioned via our experience and partnerships, to help organizations apply intelligence to data at every scale with a comprehensive approach that enables powerful analysis from end-to-end (from clients and devices to clouds and data centers) and from top to bottom. By enabling worldwide organizations to implement solutions, S4S IT aims to alleviate the inconvenience of collecting massive amounts of data while capitalizing on the opportunities to better serve communities, industries, consumers, and organizations.
Success is Calculated Before It Is Reached
- Big data implementation/evolution strategies and detailed roadmaps.
- Solution architecture with user adoption strategies.
- Data lake, DWH, ETL/ELT setup, SQL and NoSQL analysis, dashboarding.
- Governance and compliance setup and management.
Eliminate Data Silos
- Big data implementation/evolution strategies and detailed roadmaps.
- Solution architecture with user adoption strategies.
- Data lake, DWH, ETL/ELT setup, SQL and NoSQL analysis, dashboarding.
- Governance and compliance setup and management.
Create Data Lakes Efficiently
- Schema less, in-expensive storage, Massively parallel processing.
- Integrated ecosystem of several data management & analytics tools.
- Online access to raw, processed, structured & unstructured data.
Enable Rapid, Full-Scale Analytics
- Descriptive, Predictive, Prescriptive.
- Rapid creation of ODS/data marts/360 views from the raw & processed multi-structured data.
Big Data Consulting
S4S IT helps organizations mitigate steep learning curves and adoption hurdles through providing big data implementation and evolution strategies with detailed roadmaps including recommendations on data quality management, solution architecture with documentation, and technology stack planning with full integration. A S4S IT partnership yields actionable insights derived from big data coupled with expert assistance and stakeholders love to know what is going to happen before it happens.
Big Data Warehousing
With an enterprise data warehouse (EDW), organizations can ingest mass information from all business-critical systems and software. Integrating an EDW with a data lake, ML and BI software is evolutionary for most organizations and none are more qualified than S4S IT in leading your team’s journey. Unleash the power of the data in your organization across multiple systems.
- Store data for isolated business units.
- Enterprise-wide consolidation.
- Department-specific and enterprise-level answers.
Big Data Implementation
Big data implementation and planning is a discipline unto itself. Vision buy-in is just as important to the tax and accounting stakeholders as it is to the shipping and receiving department. Our all-inclusive approach ensures your organization reaches the finish line together. S4S IT works with individual centers of excellence, departments and teams all who are often isolated and have very unique business needs. Project management and internal communication barriers often present challenges that an outside resource can more objectively navigate and facilitate. With business needs identified across our client’s organization, we work together building use cases to underpin the rest of the process—all the way to training. And don’t forget, implementations are only as good as their documentation, training, and support.
Big Data Support
S4S IT’ conducts dedicated training exercises in the form of interactive virtual workshops with Q&A sessions and instructor-led training. We provide multiple formats of instruction to ensure all stakeholders with varied comprehension preferences and proficiencies are able to on-board with minimal downtime. All instruction is provided in physical form for ongoing reference and future continuity planning.
Use Cases
Big Data Exploration
– Find, Visualize, understand all big data to improve decision making.
Security Intelligence
– Lower risk, detect fraud & monitor cyber security in real time.
Data Warehouse Modernization
– Integrate big data and DW capabilities to increase operational efficiency.
Enhanced 360 Views of the Member, Department and Enterprise
– Enhance existing Member views by integrating internal and external data sources.
Operational Analysis
– Analyze machine data such as logs to get operational insights.
Off-Load Mainframe Capacity & Data Access
– Move the Transactional Data out of key system of records into the distributed platform.
– Expose data to multiple applications through standard APIs for the both cloud and non-cloud applications.
Full Business Systems Integration
- Enterprise resource planning (ERP) system
- Customer relationship management (CRM) system
- Accounting software
- Talent management system
- Business process management (BPM) system
- Intranet
- The company’s website
- IoT device management system
- Publicly available datasets for machine learning, etc.