Data Engineering Services
At Markovate, we empower businesses to unlock the full potential of their data, driving smarter decisions and measurable outcomes. By designing, building, and scaling modern data pipelines, we enable seamless data flow across, real-time analytics, and actionable insights tailored to your business needs. Discover how we deliver tangible business impact with our data engineering services.
Laying the Foundation for Smarter Business Decisions with Data Engineering
Inefficiencies and errors in data cost businesses an average of $15 million annually, impacting decision-making, operations, and growth potential. Data engineering lays the foundation for businesses to turn raw, unstructured data into valuable insights. With the right data infrastructure, companies can improve customer experiences, streamline operations, and stay competitive in a data-driven world.
At Markovate, we specialize in building scalable, secure, and future-proof data ecosystems tailored to your needs. From integrating diverse data sources and enabling real-time analytics to ensuring data quality and governance, we empower your business to leverage data confidently and achieve sustainable growth.
WHAT WE OFFER
Our Data Engineering services
We help businesses create a structured approach to data management with a clear enterprise data transformation roadmap and a data cloud strategy. Our experts evaluate your data platforms, ensuring scalability, efficiency, and alignment with business goals.
– Intelligent Document Extraction Tool
Redefined Large-Scale Document Processing for Accurate Insurance Submissions
We developed an Generative AI-powered document data extraction tool that automates data collection and validation for insurance brokers and underwriters, ensuring accurate submissions and enabling faster and more precise underwriting decisions.
- 80% improved accuracy in data extraction and validation
- Identifies missing fields and ensures data consistency
- Scalable for handling high-volume submissions
- Improved underwriting decisions with accurate data insights
– Sixfold
MLOps-Enhanced Generative AI pipelines to boost underwriting accuracy by 20%
We recently partnered with a leading provider of risk assessment solutions for insurance underwriters. Our team worked on Generative AI pipeline evaluation to enhance the accuracy, efficiency, and fairness of their existing Generative AI solution.
- API-enabled efficient data logging, increasing data accuracy by 10%
- Reduced biased and hallucinated outputs
- Detailed logging & monitoring reduced model errors by 30%
- Enhanced Gen AI pipelines contributed to over $20M in revenue
TOOL & TECHNOLOGY
Our Data Engineering tech stack
Our engineers recommend the optimal Data Engineering technology stack tailored to each solution. They are skilled and trained in a variety of cutting-edge technologies.
PROCESS
Our Data Engineering Approach: How We Deliver Value
Defining a Scalable Data Strategy
We start by assessing your data ecosystem, identifying inefficiencies, and crafting a governance-compliant strategy that aligns with your business objectives.
Seamless Data Acquisition & Integration
Our team develops pipelines to ingest and unify data from various structured and unstructured sources, ensuring smooth interoperability across cloud and on-premise environments.
Structuring & Transforming Data for Insights
Through ETL/ELT processes, we clean, enrich, and format raw data into structured, analysis-ready datasets optimized for analytics and AI applications.
Architecting Reliable Data Storage
We implement scalable data lakes, warehouses, and cloud storage solutions to ensure secure, high-performance data management tailored to your needs.
Enabling AI & Business Intelligence
We optimize data environments to power AI-driven analytics, reporting, and predictive modeling, enabling data-driven decision-making and automation.
Deployment, Monitoring & Optimization
We ensure robust deployment, performance monitoring, and continuous optimization, keeping your data infrastructure secure, efficient, and scalable.
Defining a Scalable Data Strategy
We start by assessing your data ecosystem, identifying inefficiencies, and crafting a governance-compliant strategy that aligns with your business objectives.
Seamless Data Acquisition & Integration
Our team develops pipelines to ingest and unify data from various structured and unstructured sources, ensuring smooth interoperability across cloud and on-premise environments.
Structuring & Transforming Data for Insights
Through ETL/ELT processes, we clean, enrich, and format raw data into structured, analysis-ready datasets optimized for analytics and AI applications.
Architecting Reliable Data Storage
We implement scalable data lakes, warehouses, and cloud storage solutions to ensure secure, high-performance data management tailored to your needs.
Enabling AI & Business Intelligence
We optimize data environments to power AI-driven analytics, reporting, and predictive modeling, enabling data-driven decision-making and automation.
Deployment, Monitoring & Optimization
We ensure robust deployment, performance monitoring, and continuous optimization, keeping your data infrastructure secure, efficient, and scalable.
Leading brands we’ve worked with
Markovate helps ambitious companies turn AI into a competitive edge - making operations faster, smarter, and more resilient. Explore what this could mean for your business.
Discover how we can supercharge your business with AI. Our commitment to delivering tangible results has helped countless companies like yours achieve their goals. See the transformative impact of our AI, Generative AI solutions and imagine the possibilities for your business.
FAQs
Data Engineering Services
How do you ensure the data used for machine learning is of high quality?
We prioritize data quality through automated cleansing and preprocessing techniques, removing duplicates, handling missing values, and ensuring that the data is consistent and relevant. We also apply advanced data validation methods to monitor quality continuously. With these steps, we ensure that your ML models are trained on high-quality data, increasing their performance and reliability.
Can you help me manage and analyze unstructured data (e.g., text, images, or videos)?
Yes, our data engineering team is equipped to handle both structured and unstructured data. We implement advanced techniques such as natural language processing (NLP) for text data and image recognition algorithms for visual data, enabling you to derive actionable insights from all types of data.
How do you handle data integration from multiple sources?
We develop data engineering solutions to seamlessly integrate data from various sources, including legacy systems, third-party applications, and IoT devices. We build custom pipelines that automate the flow of data across your organization, ensuring accuracy and real-time updates while reducing manual effort.
Will my data systems be ready for AI/ML applications?
Yes, we build data systems with AI/ML applications in mind. From organizing large datasets for training to ensuring data quality and accessibility, we prepare your infrastructure so that it’s optimized for machine learning models, ensuring your data is ready to power advanced analytics and AI-driven insights.
How do you ensure data security, especially for sensitive data?
Data security is integral to everything we do. We follow industry-leading encryption protocols, data anonymization techniques, and strict access controls to ensure that your data is secure, whether it’s being processed, stored, or transmitted. Additionally, we stay up-to-date with the latest regulations (such as GDPR and HIPAA) to ensure your data practices remain compliant and secure at all times.
What is the typical timeline for training a machine learning model using the data infrastructure you provide?
The timeline for ML model training can vary depending on the complexity of the model and the volume of data involved. After building the data infrastructure, it typically takes weeks to a few months to collect, preprocess, and structure the data for optimal model performance. We work closely with your team to define realistic milestones, ensuring efficient and timely model training.
OUR BLOGS
Point of view
Our thought leadership initiative – an exclusive platform for sharing our insights and technological perspectives.
AI in Commercial Real Estate: 10 Applications Turning Data Into Growth
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RFQ Automation in Manufacturing: Powering Smarter, Faster Procurement with AI
Procurement leaders today face a constant squeeze - rising material costs, volatile supply chains, and the pressure to move faster without sacrificing accuracy. Yet for many manufacturers, the RFQ (Request for Quotation) process remains a major bottleneck in...
AI for Manufacturing Quotations: Streamline Quoting, Secure Margins
Traditional quoting processes rely on manually analyzing CAD drawings, extracting material and operation details, and estimating costs and lead times. For complex products, this process can take hours or even days, slowing operations and increasing the risk of errors....
How AI Blueprint Interpretation is Changing Quotation Workflows?
Over the past year, 95% of manufacturers have invested in, or plan to invest in, AI technologies, marking a decisive shift in how design, production, and supply chain workflows are evolving. Meanwhile, traditional automation - macros, scripts, and rule-based processes...
