DATA SCIENCE AND FORECASTING

Understand your data.
Anticipate what’s next.

We analyse business data and develop forecasting models to support decisions. Our work draws on project experience in agriculture and information technology.

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Data analysis · Failure prediction · Meteorological forecasting

Meteorological observation station in a cultivated field
OBSERVE · ANALYSE · FORECAST
SECTOR EXPERIENCE

Data analysis · Anomaly analysis · Forecasting

OUR EXPERTISE

Connect your data with business decisions.

From the structure of the data to the purpose of the model, we define the work around your business needs.

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Data analysis

We examine data sources, patterns and relationships to create an understandable foundation for business decisions.

Data assessment · Analysis · Decision support
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Anomaly analysis and failure prediction

We examine unusual behaviour in device data and work on models for failure prediction.

Device data · Anomaly analysis · Prediction
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Meteorological forecasting

We develop forecasting models from meteorological data and assess forecasting needs alongside the conditions of the data.

Meteorological data · Modelling · Forecasting
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FROM DATA TO INSIGHT

From your business problem to the model’s purpose.

A model’s value starts with the decision it supports. We consider device behaviour and weather data alongside the prediction target and evaluation method.

  • Data sources and suitability
  • Prediction target and horizon
  • Evaluation criteria
Our modelling expertise
MODELLING APPROACHSchematic illustration

From signals to failure insight.

Failure predictionWe analyse unusual patterns in device behaviour and assess them for predictive modelling. Schematic illustration.Device behaviourTime →
  • Device signal
  • Anomaly pattern
  1. Device data
  2. Anomaly analysis
  3. Failure insight
We analyse unusual patterns in device behaviour and assess them for predictive modelling.

SELECTED WORK

Experience grounded in real problems.

Two focus areas from our data analysis and forecasting work.

Sensor attached to an electric motor for vibration measurement

DEVICE DATA

Failure prediction from anomaly data.

We have carried out failure prediction work using device anomaly data. This experience forms part of our expertise in analysing device behaviour and developing predictive models.

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Approaching weather front and distant rainfall over a coastal plain

METEOROLOGICAL DATA

Developing forecasts from meteorological data.

We have developed meteorological forecasting models. This work in data interpretation and forecasting accompanies our project experience in agriculture and information technology.

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SECTOR EXPERIENCE

An approach that understands the business context.

We apply our experience in agriculture and IT to the data and decision needs of each project.

Aerial view of olive tree rows and cultivated land

Agriculture

We bring our agriculture project experience to new work by considering the available data and the decisions the business needs to make together.

Sector context · Data assessment · Modelling scope
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Data centre aisle with orderly server cabinets

Information technology

In IT projects, we consider data structure, analytical needs and the relationship with existing systems within one framework.

Data sources · Analytical needs · System context
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HOW WE WORK

Clear scope. A measurable approach.

We consider the problem, the data and the evaluation method within one framework.

  1. Needs and scope

    Agree the business problem, expected output and boundaries of the project.

  2. Data assessment

    Examine data sources, quality and suitability for the work.

  3. Model and evaluation

    Build the analytical or predictive approach and assess it against agreed criteria.

  4. Delivery and next steps

    Clarify the outputs, intended use and any further work together.

COMPANY

Technical expertise. Focused on your business.

Korvuslab is a technology company developing data analysis and forecasting models for businesses.

  • IT
  • Software
  • Electronics
Meet Korvuslab

Our work in agriculture and information technology addresses concrete business problems through data. Failure prediction using device anomaly data and meteorological forecasting are two important areas of our project experience.

Our multidisciplinary approach brings together IT, software and electronics. We consider where data comes from, the purpose of the model and the conditions in which its outputs will be used.

STARTING A PROJECT

Before the first conversation.

Where do we start a data project?

First, we identify the business decision you want to support. Then we assess available data sources, expected outputs and the scope of the work together.

What data is needed for failure prediction?

We have worked with device anomaly data. For a new project, existing device records, the prediction target and data suitability are assessed together; this determines whether the data is sufficient.

How is meteorological forecasting scoped?

We consider the target variable, forecast horizon and available meteorological data together. Model scope and evaluation criteria are agreed for each project.

WORK WITH US

Let’s assess your data and objectives together.

Share your analysis or forecasting needs. We can discuss the available data, technical scope and expected output together.

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