More than Solutions

Data Engineering solutions for startup
and enterprises

  • Data engineering is a set of operations aimed at creating interfaces and mechanisms for the flow and access of information. It takes dedicated specialists – data engineers – to maintain data so that it remains available and usable by others. In short, data engineers set up and operate the organization’s data infrastructure preparing it for further analysis by data analysts and scientists.

  • Data Scraping

    • Data scraping, also known as web scraping, is the process of importing information from a website into a spreadsheet or local file saved on your computer. It’s one of the most efficient ways to get data from the web, and in some cases to channel that data to another website

    Data Processing

    • Data processing starts with data in its raw form and converts it into a more readable format (graphs, documents, etc.), giving it the form and context necessary to be interpreted by computers and utilized by employees throughout an organization.

    Data Analysis

    • Data Analysis is the process of systematically applying statistical and/or logical techniques to describe and illustrate, condense and recap, and evaluate data. According to Shamoo and Resnik (2003) various analytic procedures “provide a way of drawing inductive inferences from data and distinguishing the signal (the phenomenon of interest) from the noise (statistical fluctuations) present in the data”

    Data Visualization

    • Data visualization provides a quick and effective way to communicate information in a universal manner using visual information. The practice can also help businesses identify which factors affect customer behavior; pinpoint areas that need to be improved or need more attention; make data more memorable for stakeholders; understand when and where to place specific products; and predict sales volumes.

    Data Syncing

    • Data synchronization ensures accurate, secure, compliant data and successful team and customer experiences. It assures congruence between each source of data and its different endpoints. As data comes in, it is cleaned, checked for errors, duplication, and consistency before being put to use. Local synchronization involves devices and computers that are next to each other, while remote synchronization takes place over a mobile network.

    Our Work Process

    Simple & clean work process


    Frame the Problem

    Without the proper framing, there is no certainty about the appropriate focus on the right issue.


    Collect the Data

    Procedure of collecting, measuring and analyzing accurate insights for research using standard validated techniques.


    Process the Data

    It is a process when data is colleted and translated into usable information and converts it into a more readable format.


    Industries we are transforming

    • Trasportation & Logistics

    • Media & Entertainment

    • Travel & Hospitality

    • Financials & Banking