Data Analysis

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We offer services in data analysis, prediction and modelling.

Data Analyis - aalta-lab.com

We can work with data from different domains and sources, e.g. remote sensing, IoT, satellite data, R&D lab data, production line data, web scraped data...

Data Analysis - What we offer - aalta-lab.com

What we offer

  • Services in data analytics/AI
  • Work with data from different domains and sources, e.g. remote sensing, IoT, satellite data, R&D lab data, production line data, web scraped data
  • 30+ experts in different areas

Problems

Many teams have a lot of data. However, they might not have enough resources, missing some specific know-how from data analytics or AI in order to analyse the data and extract all the information that would allow them to close all projects or even to accept new ones

Solution

We provide the missing know-how and can take over some tasks. We help you with custom data analytics and AI/ML solutions. Depending on your problem, we can perform the analyses, develop models and implement the solution according to your needs.

Result

You will be able to get and close more projects, including those that require AI/ML methods. Your team will acquire additional know-how and improve its overall quality

We offer the following services

Software prototyping and algorithm development
Data visualization
Dataset validation
Machine learning algorithms
Simple Database setup
Simple Frontend/User interface

The combined knowledge of our team covers the following

  • Preprocessing of data,
  • web scraping,
  • logistic flow analysis,
  • optimisation processes for business,
  • optimisation of warehouse logistics,
  • forecasting of in-delivery and returns,
  • machine learning,
  • data analysis and modelling,
  • data management,
  • dashboard development and automation,
  • fraud detection,
  • interactive maps,
  • data warehousing techniques,
  • analytical and strategic insights,
  • A/B testing,
  • ETL/ELT,
  • Cloud Data Platforms (AWS, GCP),
  • statistical techniques,
  • predictive modelling,
  • time series forecasting,
  • Natural Language Processing (NLP),
  • Big Data Analytics (Hadoop/Spark),
  • Business Intelligence and Visualisation,
  • model implementation,
  • experimental data testing and posterior analyses,
  • image processing,
  • and many more...

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