Data Analytics as a Service
Analytics as a Service (AaaS) offers a fully customized data analytics platform for in-cloud data analysis on a subscription fee basis. In data analytics since 1989, ScienceSoft offers end-to-end Analytics as a Service, backed up by leading cloud services, AWS and Azure.
ScienceSoft’s Approach to Data Analysis
Areas of analysis
Types of analytics
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Analysis methods
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What Makes ScienceSoft a Reliable DAaaS Provider?
- 35 years of experience in data analytics.
- 19, years of experience in rendering data warehouse services, designing and implementing business intelligence solutions.
- Traditional BI and big data projects with Microsoft Power BI since 2016.
- Competencies in machine learning, artificial intelligence and data science.
- ISO 9001 and ISO 27001-certified to assure the quality of the data analytics services and the security of the customers' data.
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ScienceSoft is a 3-Year Champion in The Americas’ Fastest-Growing Companies Rating by the Financial Times.
- Deep expertise in 30 industries, including manufacturing, retail and wholesale, professional services, healthcare, financial services, transportation and logistics, telecommunications, energy, and others.
Highlights of Data Analytics as a Service with ScienceSoft
No infrastructure setup and administration burden
To deliver the required analytics to you, we:
- Design an analytics solution with minimal cloud consumption.
- Integrate 10+ cloud services, possibly, from different cloud vendors, into a single customized package.
- Configure and develop the analytics solution’s components (DWH, ETL/ELT, OLAP, reports and dashboards), set up data management procedures, etc.
- Support and administer the analytics solution.
Optimal delivery of analytics insights
To help you seamlessly integrate analytics output into your existing workflows, we offer:
- Customized reports and dashboards for different business users delivered on a predefined schedule or triggered by certain events.
- Dynamic reports and configurable dashboards with the possibility to drill down, pivot and filter data for deeper analysis.
- A self-service analytics platform with secure role-based access.
Data analysis is available as fast as possible
Making time our priority, we deliver:
- First online dashboard consisting of a few charts and tables – in 1 day.
- New online dashboard – in 4 hours to 2 days, depending on its complexity (may be longer if data cleansing is required).
- Change in the existing report or dashboard – in 2-8 hours, depending on the urgency and SLA.
Pricing Models for Analytics as a Service
Consumption-based pricing
- Data storage and processing in a cloud data warehouse (cloud resource consumption)
- ETL/ELT (cloud resource consumption)
- Use of a BI tool (Power BI or other) – per user
T&M pricing (for optional activities)
- Data governance
- Master data management
(e.g., adding classifiers for analytics)
- Machine learning models development
Fixed price (for one-time activities)
- Data migration from the existing DWH
Grab AaaS Benefits and Be Effective Right Now!
- Enterprise-level analytics to solve your business problems.
- Analytics cost reduction due to no/little upfront investments and the elimination of continuous software license fees.
- No need for data analytics solution development and maintenance and ability to concentrate on core business processes.