Intelek Collector facilita herramientas intuitivas que permiten a cualquier equipo traer los datos de cualquier fuente a su entorno analítico.
Today's companies accumulate very diverse tools and technologies, thus being their data stored in very diverse systems, based on different storage technologies. All these data sources can be classified into mainly five types, for which different data capture techniques will be used.
Today's organizations are used to using different management software developed by third parties, for which it is not possible to access the databases that support the software. It is very common for these softwares to have an interface to access the data programmatically, that is, an API. Each software has its own different API, with completely different rules to access the data, which makes the development of data collection programs for each of these APIs very expensive.
Intelek Collector allows you to:
Import data from the cloud software you use: ERP, CRM, eCommerce, and many more.
Automatic scaling to synchronize data with big data volumes and frequencies.
Flexibility to adapt to new and unusual specific software APIs.
It is common for organizations to have custom-developed software, each one with its respective database and independent of the others. This poses a problem to build a centralized data warehouse, since it is necessary to connect to several data sources of very different natures and in separate locations. Intelek Collector allows you to:
Import data that resides in a local database, be it MySQL, Oracle, PostgreSQL, Microsoft SQL Server, or other database systems.
Connecting to databases on a local network or in the cloud.
Sometimes you have valuable information contained in PDF documents, often the result of scanning physical documents, or you may have images with valuable content in their text, or even in graphic elements contained in the image. Intelek Collector allows you to:
Extract valuable information from PDF files or scanned documents.
Extract tables from PDF files, such as an invoice, a delivery note, among others.
Extract text from images (.png, .jpg).
Extract information from the objects that appear in the images.
Data found on the web pages of your competitors and other online sites can be very valuable for decision making. This data can be captured in a periodic or on-demand basis, and thus feed your data warehouse to:
Perform analytics by enriching your data.
Monitor changes in competitor data.
Compare the data of your competitors with that of your company.
Sometimes the most useful data for decision-making is not available, and it is not possible to extract it from the web either. In these situations it may be interesting to acquire this information from private data providers for a price adapted to the needs of the project to help us:
Know how certain behaviors of citizens affect your business. For example, the changes in food consumption of the population in the summer or during Christmas.
Identify events that most affect the operation of your business. For example, the impact of weather in product distribution logistics.
Automate market studies that contextualize your business.
¿Te gustaría tener en un tu entorno analítico la información que puedes ver en una web? Tanto puede ser un supermercado, un Marketplace de plazas hoteleras o de apartamentos o tu proveedor logístico.
Tenemos tecnología que nos permite descargar y estructurar la información de cualquier página web de forma segura y responsable.
Ponte en contacto con nosotros para analizar tu caso y ver cómo podemos ayudarte.
Create multiple sync tasks from the sources you have enabled.
As many tasks for the same data source as you want.
Select the entities you are interested in downloading in the process.
Choose the database or datalake where to store the data of each task.
Define the execution interval with crontabs.
With the Data Collector monitoring module you will be able to check at all times the status of the data collection tasks, including:
Volume of data downloaded.
Date and time of the last data acquisition.
Date and time of the next data collection scheduled task.
Data preparation and cleansing tasks scheduled after the collection task (and expected completion time).
Statistics of the CPU consumption of each data collector task.
Monitoring of errors in the execution of processes.
Insights on the volume of data downloaded over time.
Estamos encantados de convertir tus necesidades en oportunidades de crecimiento basadas en datos para tu empresa.
Data Manager
Intelek Compute
Data infrastructure
Data preparation