Data Science as a Service
100+
Satisfied and Happy Clients we have Served all over the World.
What We Do
Evolve Your Business While Evolving Your Data Landscape as you Hire Data Science Consultants
Make data the center of your business activities through our easy-to-use, multipurpose Data Science platforms.
The increasing volume of data & its complexity can be simplified with Tableau – a BI and visual data analytics suite, to help Businesses & people make informed decisions. Data Science with us for data management, insightful analysis, & effective visual presentation that are fast, convenient, & result-oriented to establish a Data Culture & spur change. With our Tableau developers, turn your data insights into value-based actions.
.
Analytics Domains We Cover with DSaaS and Value You Get
Operational intelligence
Supply chain management
Production management
Predictive maintenance
Risk management
Customer analytics
Frequently Asked Questions
What value do we get when choosing data science as a service?
- Quickly embracing data science capabilities without growing in-house data science competencies.
- Getting advanced analytics insights for end business users.
How can we be sure of the quality and speed of analytics insights?
DSaaS delivery is based on the agreed service quality KPIs, which may include:
- Output quality KPIs:
- Insights by value (high / average / low).
- Forecast accuracy.
- Missing alerts.
- Business result-related KPIs (e.g., improvements in energy consumption or service delivery time).
- User satisfaction score.
Will our data be secure?
Data safety is ensured through:
- Storing and processing data on highly secure cloud facilities (Azure, AWS, Google Cloud).
- Conducting 24/7 in-house data security monitoring.
- Using secure data transfer methods (FTP and VPN) controlled via regular health checks.
Choose Your Service Option
For companies with no data science capabilities
We offer:
- Analysis of business needs driving the company to apply data science.
- Source data preparation and cleansing.
- Development, training, testing and deployment of machine learning models.
- ML model tuning.
- Delivering data science output in an agreed format.
- Integrating ML models into an application for users’ self-service, if required.
For companies that need to enhance their data science insights/initiatives
We offer:
- Analyzing your business needs and the existing data science environment.
- Evaluating the existing ML models, ML debugging and error analysis.
- Data cleansing.
- Continuous tuning and training of ML models for increased ML model accuracy.
- Adding new data to the ML models for deeper insight.
- Building new ML models to address new business and data analytics questions.
