Analytics As a Service
Drive Business Results
Ultimately, what we do is help you to analyze and understand the current state of data in your business, develop robust solutions, and then turn your data into money through optimized business performance. The ability to work smarter and faster, and remain agile and adaptive, gives your organization a competitive edge.
MAaaS Benefits
- Fast deployment, typically within 10 – 12 weeks
- One predictable price that includes hosting, software license, data storage, monitoring and management, upgrades, training and full end-user support
- Affordability and rapid ROI at a fraction of the cost of traditional analytics solutions
- Cutting edge solutions through frequent software upgrades without any disruption
- Quality, top-tier data science services you can count on
Our MAaaS Benefits
Analytics & Visualization
Clean, concise reports and dashboards to provide clear insights into your business.
Data Security
We value our customers’ privacy. Customer data is stored on highly secure servers with stringent data security standards.
Data Science
Direct access to our data scientists so no detail is lost while we help you build predictive models, recommendation engines, etc.
End-to-End Ownership
Fully accountable for your data, infrastructure, reporting and analytics.
Faster Data Acccess
Actionable business insights Enhanced customer experience Cumulative cost savings
Predictive Expense
One simple, predictable price with no hidden fees.
Service Predictability
Automated tracking on KPI, metrics and SLAs.
Hosted Ecosystem
Our cloud based solutions are scalable and grow seamlessly with your business needs.
Hadoop Distribution
Our Data lake solution allows the holistic use of your data, enabling you to make better, faster decisions.
How MAaaS Helped Our Customers
Significant savings and Faster time to market: A major financial institution had problems handling the vast volumes of data they were amassing. Their approach at the time consisted of enterprise data warehousing (EDW), but it simply would not allow them to scale up their data processing for future data requirements.
What was Syntelli’s Solution?