Our software
Loamics is the software editor that democratizes access to data to facilitate its use. Our main objectives are to guarantee our customers the sovereignty over their data. We give them the assurance of a good governance whatever their operational configuration. Our product Loamics suite allows an efficient industrialization of your data thanks to a remarkably high level of interoperability of its functionalities.
Our master data management platform
Loamics suite has strengths that are unmatched by the competition. Processing is performed on a dynamic basis with a high level of interoperability. This results in a high ROI in terms of time and tool total cost ownership. Loamics suite is immediately accessible and unlimited. The integration of our modules is fast and non-intrusive to your existing cloud instance and applications.
The price of the Suite is fixed, it is not based on the number of connected users and the amount of data collected, stored and processed. Finally, the training of your IT team is accessible and fast. The large number of use cases we have already encountered allows us to provide personalized answers to your specific problems in the shortest possible time.
DataCollect
It is the module dedicated to the collection and management of raw data. This can be done in real time regardless of the volume involved. All types of formats are accepted. The data can be structured or unstructured and is then transformed into a homogeneous whole. This enriched raw information is then immediately exploitable and ready to be visualized.
The metadata generated during the collection gives them valuable attributes that can be used by machine learning. The collection allows a first quantitative and qualitative analysis of the acquired data, which allows to fine-tune the ingestion pipelines. Moreover, we must not lose sight of the fact that the performance of machine learning models depends essentially on the quality of the data with which they have been trained.
DataCollect does not perform any transformation of the data during its harvesting in real time or not. After collection, it is therefore possible to store a large volume of input data in real time, such as files in their entirety, regardless of their size. The downstream modules will process this data to transform it into information. The processes used by DataCollect are optimized for feeding machine learning models. They allow the creation of very large data sets that are not affected by transformation biases.
Extract, Load and Transform
ELT (Extract/Load/Tansform) also extracts data from one or more remote sources, but then loads it into the target data warehouse without format change.
In an ELT process, the data transformation takes place within the target database. ELT requires fewer remote sources, but rather only their raw, unprepared data.
Loamics suite software is constantly evolving in terms of technology:
We are currently strengthening its multi-cloud capabilities based on ELT, which is a trend and a strong demand from the market. Other technological avenues are being followed by our experts. These include cloud virtualization, increased security of customer data and widespread use of AI. The arrival of competition in a sector where we were virtually alone is pushing us to accelerate our recruitment, to adapt our pricing policy for our offerings and to maintain our technological lead.