SciTransfer
Organization

SDG CONSULTING ITALIA SPA

Milan consulting firm with applied mathematics expertise, active in EU training networks on big data optimization and multivariate analysis.

Innovation consultancydigitalITNo active H2020 projectsThin data (2/5)
H2020 projects
2
As coordinator
0
Total EC funding
Unique partners
24
What they do

Their core work

SDG Consulting Italia is a Milan-based private consulting firm that engages with EU research training networks as an industry partner, providing applied business and data analytics context to academic consortia. In practice, their H2020 participation reflects the MSCA-ITN model: private companies join large training networks to offer industrial secondments and real-world problem environments for early-stage researchers. Their technical interests center on advanced mathematical methods — distributed optimization, large-scale linear algebra, and statistical approaches to high-dimensional data — suggesting an internal analytics or quantitative consulting practice. They function as a bridge between applied corporate data challenges and academic mathematical research.

Core expertise

What they specialise in

Big data applied mathematicsprimary
1 project

BIGMATH (2018-2022) lists their keywords as distributed optimization, large-scale linear algebra, model reduction, and non-convex optimization — the core toolkit of industrial mathematical modeling.

Multivariate statistical analysissecondary
2 projects

Participation in AMVA4NewPhysics (2015-2019) placed them in a consortium focused on advanced multi-variate analysis for LHC physics data, indicating experience with high-dimensional statistical methods.

Industry-academia knowledge transfer via MSCA training networksprimary
2 projects

Both projects are MSCA-ITN schemes, a funding type where private firms serve as industry training hosts — their consistent presence signals this as an intentional institutional role.

Evolution & trajectory

How they've shifted over time

Early focus
High-energy physics data analysis
Recent focus
Big data mathematical optimization

Their first project (AMVA4NewPhysics, 2015–2019) was domain-specific: multivariate analysis for particle physics data from CERN's LHC, a highly specialized context. The second project (BIGMATH, 2018–2022) marks a clear pivot toward general-purpose mathematical frameworks — distributed optimization, statistical geometric methods, network science — applicable across many industries. The trajectory runs from niche scientific data analysis toward broadly deployable applied mathematics, which is the more commercially scalable direction for a consulting firm.

They are moving toward general-purpose quantitative methods — optimization, large-scale algebra, statistical learning — that are directly transferable to industrial analytics and data-intensive consulting mandates.

Collaboration profile

How they like to work

Role: third_party_expertReach: European12 countries collaborated

SDG Consulting never led an H2020 project — they appear exclusively as partner or third-party participant, consistent with how consulting firms typically engage in MSCA training networks. Despite only two projects, they built a network of 24 partners across 12 countries, which reflects the inherently large consortium structure of MSCA-ITN schemes rather than their own network-building activity. Working with them means joining a team where they fill the industry anchor role, not the scientific coordination role.

24 unique consortium partners across 12 countries — an unusually broad footprint for just two projects, inherited from the large pan-European MSCA training network format. No single geographic cluster is evident from the available data.

Why partner with them

What sets them apart

SDG Consulting is one of the few Italian private companies to participate in MSCA training networks focused on advanced mathematics, making them a rare combination of consulting practice and quantitative research engagement. For a consortium builder, they offer an Italian private-sector anchor with documented exposure to big data mathematics and physics analytics — useful when a network needs credible industry secondment hosts rather than just academic nodes. Their value is less about generating publishable science and more about grounding mathematical research in real applied problems.

Notable projects

Highlights from their portfolio

  • BIGMATH
    Their only full beneficiary role, and the project most tightly aligned with their apparent core competence — bringing industrial big data challenges to a mathematics training network covering optimization, model reduction, and statistical learning.
  • AMVA4NewPhysics
    Unusual participation for a consulting firm — embedding into a particle physics data analysis network (LHC/CERN context) signals genuine quantitative depth beyond standard management consulting.
Cross-sector capabilities
Financial risk modeling and quantitative analyticsIndustrial process optimization and operations researchScientific computing and simulation support
Analysis note: Only 2 projects, both MSCA training networks with no EC funding reported — typical for third-party/partner roles in ITN schemes where industry hosts receive no direct EC payment. No website available. The firm's actual consulting practice is not described in CORDIS data; all expertise inferences are derived solely from project keywords and funding scheme type. Profile should be treated as indicative, not definitive.