DATA & ANALYTICS
DATA & ANALYTICS
Digital Transformation
Digital transformation is driven by DATA that defines its value.
S2E uses cutting-edge technology platforms, AI and a solid database to make our customers’ growth competitive and profitable.
We help create a long-term “data culture”. This is the first step towards a truly “data-driven” company.
Digital transformation is the process and strategy of using technology to change how companies operate and deliver customer service.
At the heart of this change lies an opportunity. Regardless of size or industry, every organisation is increasingly relying on data-driven insights to adopt a winning strategy and operate more efficiently, delivering greater customer value.
We can help your company start on the path to digital transformation.
We co-create and innovate with you, we provide the most suitable technologies, resources, and customised growth paths.
QUANTIAS
QuantiaS is S2E’s Business Unit dedicated to Data Management and covers everything connected to data management, making it a valuable company resource. Data represents a vast resource and opportunity for any enterprise, and QuantiaS’s mission is to maximise this value.
QuantiaS is a reference centre made up of a team of specialists with 20 years of data experience, with expertise in Big Data Management, Data Warehouse Modernisation and Artificial Intelligence (AI).
Experienced solutions architects and a proficient relashionships with the vendors allow us to recommend the right solution with the right vendor.
Branch in Israel. To support tech scouting we are present in Tel Aviv to be more effective in discovering new startups and solutions that will be on the market in the coming years.
We believe that person-led approach is the key to build high professional teams. Talents are nurtured through training path, certifications and coaching.
Our teams are high specialized on our entire offer.
We are proud to launch the Industrial research program which will involve 12/15 Millions € over the next two years. 50% for Data Solutions initiatives, 30% for Digital Transformation, 20% for Cybersecurity.
Thanks to R&D initiative we have the opportunity to prototype intelligent agents based on real time data processing, advanced analytics and machine learning algorithms.
The industrial research will lead us to be more present on our traditional markets as finance and insurance and new ones such as the pharmaceuticals and healthcare market.
OBSERVABILITY
Observability means the ability to observe the behaviour of an enterprise system by controlling its outputs. This allows us to provide customers with KPIs to monitor their systems so that they can act quickly if there is a problem.
Beyond the monitoring, there is the Observability. We can evaluate the performance of complex systems using a non-intrusive approach to correlate and measure IT events originating from the system in a way that is valuable to the business.
By combining user experience, application performance and infrastructure metrics, we can compute the KPI for the entire IT ecosystem and detect unexpected phenomena using ML algorithms.
- An event log is an immutable, timestamped record of discrete events that happened over time. Event logs in general come in three forms but are fundamentally the same: a timestamp and a payload of some context;
- Metrics are a numeric representation of data measured over intervals of time. Metrics can harness the power of mathematical modeling and prediction to derive knowledge of the behavior of a system over intervals of time in the present and future;
- A trace is a representation of a series of causally related distributed events that encode the end-to-end request flow through a distributed system.
- Monitoring & Alerting
- Log Management
- Trace & Troubleshooting
- Reporting
- Real time dashboarding
- Predictive/prescriptive issue remediation
- SLA management
- Capacity planning
LAKEHOUSE
High-performance computing is rapidly moving beyond the historical fields of large research centers to enter the business world.
Thanks to big data and cloud native architectures we design a new class of data warehouse (DWH).
The Lakehouse combine the prerogatives of DWH in a context of infrastructural scaling and intelligent cost.
Modernisation of DWH (on-site or in the cloud) by applying the new Data Lakehouse approach. With Data Lakehouse it is possible to enable users to analyse structured and unstructured data for the application of Data Science and Machine Learning algorithms or create Dashboards and Reports.
ADVANCED ANALYTICS
Advanced Analytics are the key ingredient to inject intelligents in our solutions and go beyond traditional business intelligence tools.
Advanced analytics tools include: machine learning, complex event processing, multivariate statistics, simulation, forecasting visualization, etc.
BIG DATA MANAGEMENT
The solid experience on big data models allow us to propose architectures to manage the complexity of the systems and the business.
We are able to propose the right data fabric that can reduce data management efforts by up to 70%.
It is the ability to analyse and process data in real or near-real time, extracting useful information that is used extensively in IoT systems, for example.
Thanks to cloud native systems and the ability to process complex events in real time, we support digital transformation and help to reduce the technological gaps related to legacy systems.
GAIA
Artificial Intelligence Purchasing Management (GAIA) is S2E’s software that uses artificial intelligence algorithms in pharmacy reordering automation, providing immediate inventory reduction and significantly improving shop margins.
Today, automation and artificial intelligence are the drivers of pharmacy evolution. Technology has become part of everyday life, changing traditional practices and opening up new areas of profitability. There are currently more than 200 Italian pharmacies that have installed the GAIA solution.
Artificial intelligence enters the pharmacy.
PARTNERSHIP
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