DATA PROFESSIONAL SERVICES

Tailored data services that build the foundation for analytics and AI.

Our data projects and services

World Map
Europe
USA
Africa

11

Countries

45+

Data Projects

130000+

Consultation Hours

Technologies

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Our Focus

Data Intelligence

Our Foundation

Data Strategy
AI is only as reliable as the data beneath it. We build that foundation first.

Our process:

Data Strategy

We focus on the five phases of Data Intelligence:

1. PLANNING & DIRECTION

Refine your data landscape to enable digitalization.

2. DATA COLLECTION

3. DATA PROCESSING

4. ANALYSIS & MODELLING

5. INTELLIGENCE DISSEMINATION

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our Services

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Advisory

Advisory
Data Quality
Data Quality

We assist an organization to improve their data quality. High-quality data is essential for effective decision- making, analytics, and business operations.Our services can include conducting a data quality assessment, cleaning and standardizing data, automating data quality checks, establishing master data management, and regularly auditing and monitoring data.

Data Governance
Data Governance

We assist an organization with improving their data governance. Our data governance services include managing the availability, usability, integrity, and security of data in an organization.It involves defining policies, roles, standards, and procedures to ensure that data is effectively managed and used responsibly.Proper data governance is critical for achieving compliance, enhancing data quality, and fostering trust in data - driven decision - making.

Data Stategy Roadmap
Data Stategy Roadmap

Our data strategy roadmap will align an organization's data initiatives with its broader business goals.We assist an organization by creating a structured path for managing, analyzing, and leveraging their data effectively.

Analytics

Analytics

Data Engineering

Data Engineering

Software Development

Software Development

Case Study

Azure Data Warehouse

Modernization Use Case
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The Company
A multinational manufacturing organization
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The Business Challenge
The organisation is struggling to report sales figures, which are sourced from various sites where a proprietary application is used as an ERP. The need is to consolidate all the information into a data lake and data warehouse for reporting, while also being ready for an eminent change/adoption of a new ERP system
The Solution Icon
The Solution
A proposal and design was put forward to start adopting a cloud based architecture of a full modern data analytics platform on Azure. This can be implemented in short agile sprints, whilst adhering to best practices within an over-arching architecture design.
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Value Proposition
Cloud provisioning allows the project to start virtually immediately. The immediate needs can be met in 2 short agile phases and the client will already see value from phase one in a matter of weeks / months. The long term architecture and design principles also imply that the future is assured, as the client grows the analytics platform into maturity
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Technologies Used
Azure provisioned:

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