
Information is the oil of the 21st century
and analytics
is the combustion engine

Data Modelling
And Management
We model the data for various uses cases using conceptual, logical, technical, and semantical models…

Business Intelligence
And Data Analytics
Leveraging the Microsoft Power platform, we gain insights and are able to make predictions by analysing the aggregated data…

Data API
Integration
For analytical purposes, your company needs data that can enrich and/or improve your own datasets…

Machine Learning
And AI
Artificial Intelligence is the capability of a computer system to mimic human cognitive functions such as learning and problem-solving…

Data Modelling
and Management
Based on the automated insights into the available data sources within your organisation, we validate the quality and integrity of your data while processing reconciliations.
We setup data dictionaries so that users can interpret and understand the data. We model the data for various use cases using conceptual, logical, technical and semantic models.
We map your data to industry standard models in case you want to offer your data to third parties.
Business Intelligence
and Data Analytics
Collecting data from various internal and external sources such as business applications, third party datasets, data mining, operational data from sensors, etc. requires all kinds of system integrations.
We store your data in different data layers for various purposes (datalakes, data warehouses, sematical models, etc.).
Leveraging the Microsoft Power platform, we gain insights and are able to make predictions by analysing the aggregated data. Adding machine learning we support you with predictions based on certain data characteristics and the application of specific AI modules that can interpret data.


Data Application Programming
Interface [API] Integration
Unlocking Seamless Possibilities: M2-D2 specializes in API services, including integration and creation, building and development of REST APIs, and expert database integration. Enhance your software’s efficiency and connectivity with our cutting-edge API solutions tailored to your unique needs.
For analytics purposes, companies require data that can enrich and/or improve their own datasets.
Think of customer master data, marketing data, credit rating data, exchange rates, vehicle data, geo spatial data, etc.
We enable companies to leverage data from other, external sources, and we build data services for customers that wish to offer REST API-enables data sets to third parties.
Artificial Intelligence
and Machine Learning
Artificial Intelligence is the capability of a computer system to mimic human cognitive functions such as learning and problem solving.
Machine learning is an application of AI which uses mathematical models of data to help a computer learn without direct instruction. Machine learning plays an especially important role in the field of predictive analytics.
We build self-learning models that provide for decision-making capabilities.

News is only the first rough draft of history Nevertheless we love to tell you about our expertise
In the previous blog, we discussed the five stages an organization will go through when embarking on a data journey, in search of the value of its data. In this subsequent blog, we provide you with a brief overview of the typical components that comprise a data analytics platform needed for that. We will refrain […]
Nowadays most organizations do acknowledge the importance of using their data to optimize the way they run their business. With visions of optimized operations, streamlined strategies, and sharper decisions-making, budgets are allocated for the initiation of data analytics projects. On day 1, typically the following questions are raised: What data do you have? What insights […]
In the first part of this blog series, we explained how the color wheel works, based on 12 main colors and the different colour hues, tints, tones and shades. For those who missed this blog, see https://m2-d2.com/en/its-the-colours-stupid-part-1/. In part two of this blog series, we discussed seven common color schemes,. Including some pros and cons […]