Client profile
Producers across the value chain, from hatcheries and grow‑out farms to aquafeed, ingredient and additive suppliers, seeking to maximise the insights and value extracted from their data records.
Challenge
Aquaculture operations generate vast amounts of data every day, often spread across multiple tables and time resolutions: feed intake records, feed specs, biomass estimates, environmental parameters, mortality logs, treatments and handling records, growth curves and in the case of RAS, biofilter and water quality related data. Turning this information into clear operational insights, understanding why observed performance diverges, and using it to support better production decisions requires more than dashboards: it requires consistent data structuring, clearly defined KPI, and data grouping that reflects how each production system actually operates.
Solution
SPAROS provides results‑oriented data analysis services, combining nutritional expertise, statistical analysis and validated modelling engines. In recent services, this approach has been applied both to (i) baseline performance characterisation across multiple years, strains, densities, sites and (ii) targeted investigation of specific feeding strategy variants under commercial conditions.
Impact
The service offers a deeper understanding of the key drivers of performance, enabling decisions with greater confidence, lower risk and more predictable outcomes. Whether supporting RAS operators seeking tighter process control, salmon producers optimising feeding strategies in critical phases, or feed and additive companies requiring robust analyses to strengthen technical positioning, the focus remains the same: better‑informed decisions supported by evidence and practical insight.
While many companies already explore their internal datasets, combining them with SPAROS’ expertise and analytical methodologies often unlocks additional value, especially in a field where data complexity is high and analytical possibilities are virtually endless.
Baseline performance diagnostic strategy
The SPAROS workflow begins by consolidating and cleaning data from multiple sources, ensuring consistent structure and comparability across cycles, sites and production phases. This is followed by a structured KPI‑driven analysis covering growth, feed intake, conversion efficiency and survival, segmented by the factors that are relevant to our clients. In baseline analysis services, common grouping dimensions include site, strain or supplier, production year, feed energy and protein per weight range, and stocking density.
Our services frequently reveal patterns that are otherwise hidden in day‑to‑day operations: structural performance differences between sites, heterogeneous groups within the same system, variations linked to feed composition, or clear relationships between environmental variables (e.g. temperature), intake and growth. It is not uncommon to observe bimodal growth distributions within a given site, suggesting that performance clusters into distinct sub‑groups rather than following a single homogeneous pattern: a signal that typically triggers deeper investigation to find the explaining factors.
Targeted data analysis
Each service is unique and targeted to answer the questions our clients aim to address. In recent work focused on evaluating feeding strategy variants under commercial conditions, SPAROS complemented the performance data analysis with nutritional-based modelling. This approach made it possible to compare strategies isolating the nutritional effects from the confounding events present in the production dataset, such as health related. Results are delivered with clear, actionable recommendations for technical teams.
To look at your data through new lenses and reveal insights that may otherwise remain hidden, talk to us about developing a tailored analysis that complements and strengthens your technical team.
