Software Development Details


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Data Analysis

Whenever we take any decision in our day-to-day life is by thinking about what happened last time or what will happen by choosing that particular decision. This is nothing but analysing our past or future and making decisions based on it. For that, we gather memories of our past or dreams of our future. So that is nothing but data analysis. Now same thing analyst does for business purposes, is called Data Analysis.

we offer data analysis services that precisely cater to the specific requirements of the client. We have extensive experience of working with global clients and understanding to their complex requirements, we are capable of processing any requests.

To grow your business some time you all need is analysis. We provide a data analyst who collects, cleans, and interprets data sets in order to answer a question or solve a problem. During the process of data analysis, analysts use wide variety of tools.

Data analysis services allow businesses to get their data collected, processed, and presented to them in the form of actionable insights while avoiding investments in the development and administration of an analytics solution.

Areas of analysis:

  • Financials
  • Brands and products
  • Supply chain
  • Assets
  • Manufacturing
  • HR
  • Customers

Types of data analysis

  • Descriptive
  • Diagnostic
  • Predictive
  • Prescriptive

We set up productive cooperation in the course of which data analysts achieve data completeness and correct interpretation due to obtaining information from both data sources and people.

We deliver the pre-built reports and dashboard for different business users on a predefined schedule. We provide a self-service analytics platform with secure role-based access. For data security we store the data within highly secured clouds.

We have experience in working with high-level executives, and our team has experience in providing advanced data analysis services. We are the one-stop shop for data management. We implement a data management program to help to manage the corporate data.

Data quality standards that we target

  • Consistency
  • Timeless
  • Uniqueness
  • Accuracy
  • Completeness
  • Auditability

Tools we used for data analysis

  • Microsoft Excel
  • Google Sheets
  • SQL
  • Tableau
  • R or Python
  • SAS
  • Microsoft Power BI
  • Jupyter Notebooks

Our Offerings:

Data Quality Audit: Thrymr performs a quality inspection that ensures you are using the right data and helps to optimize the entire data analysis process

Data Cleaning: Thrymr detects and removes inaccurate records and replaces them with correct data

Extreme Observations Analysis: Thrymr takes a closer look at outlying data points to assess how relevant they are

Missing Observations Analysis: Thrymr assesses missing variables, calculates the potential impact and helps you fix the problem if it exists within your data

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