Data Warehousing & Engineering

Data Engineering

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INTRODUCTION

The technological groundwork to transform your data deluge into high quality decision making.

Calligo’s team of experts helps organizations integrate, manage, and automate their data to enable more informed decision-making. Our data engineering solutions are tailored to meet the unique needs of each business, ensuring that they can leverage their data in the most efficient and effective way possible.

Our team consults closely with businesses to understand their needs and design a customized solution that meets their specific requirements. With a focus on data privacy and security, our data engineering solutions are trusted by businesses around the world to deliver the results they need to succeed in today’s data-driven landscape.

Explore how Data Engineering capability works

01
Building the Foundation

Our Data Engineering Services begin by building the foundation of data analysis and science. This involves consolidating structured and unstructured data, optimizing its flow and delivery, and ensuring uniformity.

02
Quality and Consolidation

Next, our team focuses on ensuring the quality of the data by performing checks for completeness, uniqueness, accuracy, validity, and standardization. We also remove data silos and improve understanding of processes and performance.

03
Data Flexibility & Scalability

Finally, the team ensures that data is readily available through data pipelines that provide quality data as soon as it’s needed. We consolidate all current and future data sources, enabling businesses to scale and prepare for the future.

Our Data Engineering team has a breadth of skills. No data engineering requirement is too challenging.

Databases
SQL, MySQL, NoSQL and many others

Programming
Python, Scala, Java and more as required
Cloud architecture
Azure, AWS, or our own public cloud, CloudCore
Data warehousing
Snowflake, Azure Synapse, AWS Redshift and more
Automation
Transforming existing processes into automated pipelines
Data modelling
Construct flexible common data models that ensure continuous uniformity
Data pipelines
Automated real-time or batch data collection
ETL / ELT capabilities
Highly skilled in both disciplines and supportive technologies

USE CASES

How Calligo has helped businesses

Manufacturing

Calligo provides data-driven solutions to optimize manufacturing operations. Services include demand forecasting, inventory and logistics optimization, predictive maintenance, and supplier degradation analysis.

Retail

Calligo’s machine learning solutions use customer data and demand forecasting to optimize retailers’ product selection and marketing strategies while maintaining privacy and avoiding legal risks.

Healthcare

Calligo provides data solutions to optimize various aspects of healthcare operations. With Calligo’s advanced data solutions, healthcare providers can make informed decisions to improve patient care, reduce costs, and optimize their operations for better outcomes.

Logistics

Calligo provides transportation, supply chain and logistics solutions that use predictive models, time-series analysis, Monte-Carlo simulations, and optimization to solve complex problems such as price optimization, cost predictions, and mileage optimization

Telecom

Calligo provides data-driven solutions to optimize different aspects of telecom operations such as call centre staff scheduling, market penetration analysis, store location optimization, service interruption detection, and customer segmentation.

Non-Profit

Calligo helps non-profit organizations improve their decision-making process. We use predictive models, time-series analysis, and economic modelling to forecast the value of investments and marketing impact.

Financial Sector

Calligo provides machine learning solutions for the financial industry, including fraud detection, automated data extraction, customer segmentation, risk assessment, and product recommendations.

Talk to a Calligo specialist today