Data Visualization

Ersys Tech's Consumer Analytics Team helps clients find solutions to all their data-based queries and helps them take informed decisions for their business.  Our Consumer Analytics team leverages the expertise and knowledge gained from multiple platforms, data analysis strategies and client environments to ensure that you, as a client, get most out of your connect with us.  

All of these best practices are followed to ensure stability across different potential systems in data visualization, to avoid bottlenecks due to certain data requirements, and to achieve the best possible solutions. This makes it easy for customers to understand what is being communicated to them in the form of an infographic.

Our Consumer Analytics Team works using agile methodology manner, keeping tabs of what is happening and how are they progressing with work.   

• Conversation with client, understanding their needs and assess the requirements. The team is assigned to understand the requirements, scopes of the client’s needs.

• Extracting from diverse sources and thereby data munging with the acquired data. Thereby, proceeds with ETL (Extract, Transform & Load), wherein data is fetched, collected from various channels, the data is studied, organized, analyzed carefully, cleaned, transformed, and finally loading this cleaned data into a secure cloud storage.

• Visualize the data using global best practices like color, labels, formatting etc. Once the data is loaded, catering the infographics displayed based on best practices like design principles and using elements like shape, color, size, labelling, ordering, comparison etc., based upon client requirements.  

• Uncover notable findings & insights or patterns from the data. When visuals are being built, team incorporates the tasks of discovering disparate data relationships within data to uncover important information, in a creative manner highlights notable findings/insights/patterns in the data that are relevant to business.

• Communicate the findings with stakeholders & incorporate feedbacks. Data visuals are then interpreted and communicated to the stakeholders in the form of a story supported by numbers, continually incorporating feedbacks from them. Alongside, the possible risks, impediments and required actions items to proceed will be highlighted by respective members.

•  Save time when analyzing and interpreting data.
•  Understanding data faster and more thoroughly.
•  Share analysis easily.
•  Optimize decision-making process from a data-driven perspective.
•  Discover new viewpoints.
•  Elimination of silos.