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HOW DATA ANALYSIS CONSULTING SERVICES WILL SHAPE YOUR BUSINESS

Data analysis is the process of systematically applying a statistical/logical approach to describe and illustrate, abridge and evaluate data. When you consult someone in order to get your data analyzed the whole process is termed as data analytic consulting and when provided as a service is known as data analysis consulting services. Structured, semi-structured and unstructured data give way to data analysis. Data analysis can use external sources like social media, market data, and syndicated research, creating tremendous opportunities for insight. Data analysis can be used in various sectors, like population density checking, by using readily available data as a source of reference.

Data analytics have another way of representation known as visual analytics. This is a graphical way of representing data in a structured way. It has emerged as the fastest way to understand data and transform information into action. The combination of automated analysis techniques with interactive visualization tools can be used to effectively understand complex data and further help in reasoning about the data and using the data to make right decisions.

Before starting to analyze a set of data you need to prepare the data. The four most effective practices before analyzing a set of data:

  • Connect to all the data - It is very critical to collect all the data that is relevant to take key business decisions. With today’s continued innovation, it’s no longer necessary to have all the data at one place. The new best practice is to access data wherever it is residing, whether an on-premise warehouse or in the cloud.
  • Blend the data together – Blending multiple into one single, complete form needs to be carried out before working with it.
  • Choosing metrics and tools that are relevant – Be highly selective while choosing metrics and tools to contribute towards the objective.
  • Utilize better visualization - Visual representation is always preferred over spreadsheets and number based tables. Using multiple colors and types of visualization will help make the user understand the objective of and share a complete picture of the research.

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