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Aperigae’s Approach for Geospatial Big Data Analytics

Geodata owned, created or use by institutions, organizations, companies, NGOs and even individuals is expanding at exponential rates to become big data.


Geodata owned, created or use by institutions, organizations, companies, NGOs and even individuals is expanding at exponential rates to become big data. Big data is both a business advantage and on the other hand a mass and headache. The owners of big data expect useful information for efficiency, risks, change in customer behaviors from the experts (companies) on big data analytics. In case both parties miss the fact that the big data analytics processes are handled without domain experts and the findings are evaluated without the dynamics and mehhanism of the analysed phenomena, the results and findings would mis-lead.

 

Aperigae provides consultancy, service and research for the big data, geo-referencable big data and geospatial big data created every moment to meet demands for using big data for better business decisions and operations. In order to get useful and fit for purpose type of outcomes, Aperigae employs state-of-the-art technology and most importantly experts (data scientists) having domain knowledge, expertiese, experience on cloud computing, data analytics as testing and quality assurance processes for the particular field.

 

Aperigae’s approach comprises cretaing a team which can communicate in a transparent and fully understood communication channel, the processes are quality-checked and proved on the way through the lifecycle of the task, using several techniques to prevent over-estimated results. The Aperigae Team will always contain minimum of the following four SME;

  • Project manager, and institutional, enterprise, organizational analyst
  • computer science,
  • spatial statistics and spatial data mining,
  • geoinformatics (GIS , remote sensing, cartographic visualization and geodesy)
  • Expert(s) fort he particular domain.