Data engineering &
Let us structure your raw data and make it work for you. Leverage the power of big data — get actionable strategies and automated operations that speak your business language.
Success today is built on reliable and easy-to-use data. We leverage advanced technology to gather, process, store and analyze your data efficiently — facilitating a comprehensive 360° strategy that integrates that data with technology and AI to: drive customer engagement, overcome industry challenges, optimize business operations.
Our data engineering services.
Simplify the way your data is managed and flows - from collection, transformation, storage to its actual use. We help you define data models and structures based on your business needs, reducing redundancy, enhancing data quality and enabling cross-domain integration.
- Customized Data Models
- Scalable Data Storage Solutions
- Data Governance Framework
- Integration Protocols
- Data Lineage & Data Flows
Convert your raw data into a readable format that you can use as insights for immediate business action. We pull your data, clean it up, process it through machine learning algorithms to suit its use and deliver it in a language you understand (graphs, video, text, etc.). The data can then be used for your own data analytics projects.
- Cleaned Data
- Transformation Algorithms
- Real-time Data Processing
- Automated Data Pipelines
- Optimized Perfomance
This is where you get the real actionable insights. By deciphering past performance (understanding patterns and their causes) and projecting future trajectories, we enable you to anticipate market shifts, and make informed decisions. We do this using a mix of tools ranging from simple spreadsheets to sophisticated data manipulation software.
- Insightful Reports
- Predictive Analytics
- Decision Support Tools
- Strategic Recommendations
From big data chaos to accurate AI solutions.
Data and AI go hand in hand. The more data you have, the smarter the AI and the smarter the decisions. It also means less manual effort in managing, processing and analyzing data, and helps in a number of ways:
Effortlessly eliminate duplicate data, maintaining the purity of data sets. Using machine learning algorithms, we sort massive amounts of data and remove redundancies, ensuring that your analytics are derived from accurate, unambiguous pieces of data.
Combining different data sources into one easily accessible place. By connecting disparate data sets, we highlight trends and clarify both operations and customer behavior. In short, we turn fragmented data into a unified, actionable business resource.
Using advanced algorithms to validate both the data and its sources. By filtering out noise and inconsistencies, we ensure that your insights are both reliable and anchored in the real world, giving you greater confidence in your decisions.
Through machine learning and predictive analytics, we analyze historical and real-time data to provide insights into future market dynamics. These insights are essential for making proactive decisions, mitigating risk, and capitalizing on opportunities.
Need an assessment?
Our experienced data engineers are ready to transform you into a fully data-driven business so you can make insight-driven, confident decisions.
We empower industries with actionable insights.
Global Database – The leading data solution for more than 200 million companies worldwide
Originally designed as an MVP, Global Database was launched as EBS Integrator's attempt to enter the competitive business intelligence market. However, as the user base grew and requirements became more complex, the platform's architectural limitations began to surface.
Global Database's monolithic structure hindered the company's ability to scale efficiently. Data processing was slow, and integration with various partner APIs and third-party analytics systems was far from seamless, limiting the platform's goals.
To address these obstacles, our team made a strategic shift. Leveraging technologies such as Docker and Kubernetes, we overhauled the Global Database to a more agile and adaptable microservices architecture. The introduction of Kafka revolutionized data analytics and real-time updates, while a hybrid approach of SQL and NoSQL with innovative indexing greatly accelerated data access. To ensure effortless integration with third-party tools, we implemented an adaptive ETL platform, with the transition done in phases to ensure an uninterrupted user experience.
Answers to the most common questions on AI & data engineering