Unlocking Business Growth with Data Science & Data Engineering Services
Our data engineers and data science experts, help organizations unlock the true value of their data by transforming it into actionable insights that boost efficiency, enhance security, and build stronger customer relationships.
Advanced Real Time Insights
Data analytics empowers organizations with real time intelligence, enabling faster, smarter decisions based on the latest data while gaining deeper insights into competitors, market conditions, and customer trends.
Enhance Operational Efficiency
Enhances operational efficiency by identifying process inefficiencies and blockages and fostering data-driven decision making. This enables companies to allocate resource optimally and drive continuous process improvement & deliver enhanced customer experience.
Improved Decision Making
Transforms how organizations make decisions by analyzing massive volumes of data, extracting valuable insights, and providing a comprehensive understanding of trends, patterns, and correlations, empowering smarter, data-driven decision-making.
Better Risk Management
Data engineering services is vital for risk management, helping to detect and eliminate fraud. By analyzing data and enabling real time risk assessments, it protects organizations from poor decisions that could negatively impact financial health and overall business growth.
End-to-End Expertise in Data Engineering Services
We provide comprehensive custom data engineering services which includes development, consulting, support, and maintenance of data, enabling real-time analytics and unlocking the power of AI-driven insights.
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Data Ingestion & ETL Pipelines
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Data Warehouse
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Streaming & Batch Processing
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Reporting & Data Visualization
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Machine learning Operations
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Maintenance & Monitoring
Data Ingestion & ETL Pipelines
Data Warehouse
Streaming & Batch Processing
Reporting & Data Visualization
Machine learning Operations
Maintenance & Monitoring
Data Ingestion & ETL Pipelines
We collect raw data from diverse sources such as APIs, websites, sensors, and devices using tools like Apache Kafka, Apache Flume, and more. The data is then cleaned, filtered, and loaded into data lakes or warehouses for further processing.
Data Warehouse
Effective data warehouses provide historical and cross-sectional insights to power decision support systems. With tools like Amazon Redshift, Teradata, Informatica, and Azure SQL Data Warehouse, Telliant’s experts can design and implement scalable DW solutions tailored to your business needs.
Streaming & Batch Processing
At Telliant, we leverage both streaming and batch processing to manage real-time and large-scale data seamlessly. This approach ensures timely insights, optimized performance, and data-driven decisions that keep your business ahead.
Reporting & Data Visualization
We design customized reports ranging from traditional tabular formats to advanced summaries, using tools like Tableau, Power BI, and QlikView. Our experts create meaningful dashboards and visualizations to help you turn data into actionable insights.
Machine learning Operations (MLOps)
Our data engineers build and manage data lakes and warehouses to support large scale machine learning operations (MLOps). We ensure the data is reliable and accurate and maintain robust data pipelines as machine learning models depends on this.
Maintenance & Monitoring
We continuously track system performance, detect anomalies in real time, and proactively resolve issues before they disrupt operations. This ensures your data infrastructure remains secure, efficient, and reliable, supporting uninterrupted business growth.
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Data Science Services Our Company Provides
We deliver end-to-end data science services that transform raw data into actionable insights and measurable business outcomes. Leveraging machine learning, AI, and deep learning, our team enables predictive intelligence, seamless AI/ML model deployment, and analytics-driven decision making.
Predictive Analytics
Our data science experts build predictive models and analyze historical that helps forecast future outcomes, empowering businesses to use this real-time data to make faster decisions, improve overall operational efficiency and provide better customer experience.
Data Visualization
We combine large volumes of data and present them through clear visuals, dashboards, and reports. This helps businesses spot improvement areas, seize opportunities, and make data-driven decisions using tools like Matplotlib, Seaborn, and Google Visualization API.
Machine Learning
We develop ML solutions that learn from data patterns to improve accuracy over time. These models enable automation, faster decision-making, and scalable business intelligence. We leverage tools like TensorFlow, PyTorch, Microsoft Azure, Vertex AI to build ML applications.
Natural Language Processing
We develop advanced NLP solutions that enable systems to accurately interpret, process, and respond to human language. These capabilities power intelligent chatbots, sentiment analysis, and personalized customer interactions, while also streamlining and automating development workflows.
Business Intelligence
We implement business intelligence platforms that unify data from multiple sources into a single, reliable view. By integrating machine learning and predictive modeling, we reduce data complexities and deliver advanced dashboards and reports that support informed, strategic decision-making.
Data Pipelines
Our engineers design secure, scalable data pipelines that ensure clean and timely data flow across systems. Serving as the backbone for analytics, reporting, and AI-driven innovation, these pipelines are built and managed with proven tools and frameworks such as Apache Kafka, FiveTran, Apache Airflow etc.
Tools Used for Data Engineering Services
Tools Used for Data Science Services
FAQ’s for Data Science and Data Engineering
Data engineering is the process of building infrastructure and managing large, complex data, helping organizations to generate business insights enabling decision-making and better operational efficiency. Data engineering services includes building data pipelines, data warehousing, streaming and batch processing, data visualization and reporting, enabling AI/ML initiatives and more.
Telliant’s data science services includes AI/ML model development and deployment, data science consulting, business intelligence (BI) and data analytics, natural language processing (NLP), predictive analytics, data visualization services.
We provide businesses with advanced AI and ML capabilities through the assurance of clean, properly structured data. Our data engineers prepare structured datasets, allowing AI systems to find patterns, make accurate predictions, and automate key decision-making processes.
- Understanding client’s business goals
- Gathering and analyzing business data
- Data cleaning and structuring
- AI/ML model development
- Model evaluation and deployment
The cost of a data science solution depends on few factors like data complexity, technologies used, volume of data, size of the project etc. Having said that, a a basic data science solution such as building analytics or dashboards will cost less compared to enterprise scale solutions including AI and ML, advanced data pipelines etc. For more information contact us: https://www.telliant.com/contact-us
