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Make your data easy to use

Collect, clean, and connect all your data so your systems and teams work from the same numbers — ready for automation and AI.

No more guessing “which data can I trust?”

See where money and time go—what pays off and what doesn’t. Live dashboards refresh automatically, giving you today’s numbers instead of last week’s exports.

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:

  1. Customized Data Models
  2. Scalable Data Storage Solutions
  3. Data Governance Framework
  4. Integration Protocols
  5. Data Lineage & Data Flows
  6. 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:

  1. Cleaned Data
  2. Transformation Algorithms
  3. Real-time Data Processing
  4. Automated Data Pipelines
  5. 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:

  1. Insightful Reports
  2. Visualizations
  3. Predictive Analytics
  4. Decision Support Tools
  5. Strategic Recommendations
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How data becomes business-ready

01
Decide what counts
At 10 people, everyone knows the numbers. At 100, nobody agrees. Pick the decisions that matter (revenue, churn, cost) and the numbers that feed them.
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02
Connect and clean
Your CRM, finance, and ops tools don’t speak the same language. We link them and fix the basics: no duplicate customers, dates line up, IDs match. From then on, rules keep it clean.
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03
One place, one truth
Instead of pulling five reports and arguing, all data lands in one hub. Sales, Finance, and Ops look at the same dashboard. No more “who’s right?” fights.
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04
Automate the flow
No one should spend Fridays exporting spreadsheets. Numbers update on their own — hourly, daily, or in real time. Dashboards stay fresh, so decisions use today’s data.
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05
Scale without stress
More customers, more data, more tools — the system absorbs it. Spikes don’t break it. If something’s off, the right person gets an alert with context.
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Data that keeps pace with your growth

At 1 tool, reports match. At 10, they don’t. We align codes, rules, and dashboards so every decision runs on the same number.

STANDARDIZE

Customers, products, and accounts use the same codes in all your tools. We keep a shared dictionary and check new data against it automatically.

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Reports don’t line up?

Happens when every tool makes its own math... We dig into your data, clean it, and align your systems so the numbers stop arguing and start guiding 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