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Data engineering &
AI-powered solutions.

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.

Accurate data.
Accurate solutions.

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.

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Data Architecture

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.  

Deliverables:

  • Customized Data Models
  • Scalable Data Storage Solutions
  • Data Governance Framework
  • Integration Protocols
  • Data Lineage & Data Flows
  • Documentation
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Data Processing 

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. 

Deliverables:

  • Cleaned Data
  • Transformation Algorithms
  • Real-time Data Processing
  • Automated Data Pipelines
  • Optimized Perfomance
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Data Analytics 

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. 

Deliverables:

  • Insightful Reports
  • Visualizations
  • Predictive Analytics
  • Decision Support Tools
  • Strategic Recommendations
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Data engineering
lifecycle.

01
Business Assessment & Planning 
First, we learn about your organization's data goals through stakeholder interviews and system reviews. This helps us identify your organizational requirements. Then, based on this assessment, we design a customized data infrastructure by selecting the right models, tools, and pipelines. This framework ensures that our solutions address your current needs, while also being future-proof and scalable for the next phases. 
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02
Data Preparation 
First, we learn about your organization's data goals through stakeholder interviews and system reviews. This helps us identify your organizational requirements. Then, based on this assessment, we design a customized data infrastructure by selecting the right models, tools, and pipelines. This framework ensures that our solutions address your current needs, while also being future-proof and scalable for the next phases. 
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03
Data Management
We store data in stable databases using rigorous security practices. Then, we integrate disparate data sources into a unified view for consistency. This integrated methodology ensures that your data is organized, protected, easily accessible, seamlessly integrated, and ready for advanced analysis. 
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04
Implementation 
Using automated pipelines and real-time methods, we process your data in an efficient and timely manner. This is followed by a series of tests and validations to guarantee data quality. Once the data solutions are validated, we deploy them and provide user training to ensure they are used to their maximum potential. By the end of this phase, you will have reliable, actionable data that you can use to make confident decisions. 
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Monitoring, Optimization & Compliance
Now that everything is in order, we make sure those data systems are kept agile and secure. We maximize performance by integrating real-time monitoring and continuous improvement. Plus, our rigorous security measures ensure your data is protected and compliant, allowing you to adapt to your growing needs and leverage trusted insights for smart decisions. 
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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:

DEDUPLICATION

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. 

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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.

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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.

FAQ

Answers to the most common questions on AI & data engineering