Data Analysis

Data Analysis

We provide data analytics services to help businesses gain valuable insights from their data. Our team of data analysts and scientists use advanced analytics techniques to uncover trends, patterns, and actionable insights that drive decision-making.

Data Analysis services for businesses

Data Analytics and Insight are terms closely related to the process of collecting, processing, analyzing, and deriving meaningful information from data in order to make informed decisions and gain a deeper understanding of various aspects of a business, organization, phenomenon.

Data analytics refers to the process of examining raw data to draw conclusions, identify patterns, and make predictions or recommendations. It involves using various techniques and tools to transform large and complex datasets into valuable insights.

Descriptive Analytics

It includes methods like aggregation, data visualization, and basic statistical analysis to present information in a meaningful way.
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Diagnostic Analytics

Diagnostic analytics focuses on understanding why certain events or patterns occurred. It involves digging deeper into data to identify the root causes of specific outcomes.
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Predictive Analytics

Predictive analytics uses historical data to predict future events or outcomes. Machine learning and statistical modeling techniques are often used to build predictive models that can forecast trends and behaviors.
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Prescriptive Analytics

This type of analysis goes beyond prediction and provides recommendations for actions to optimize outcomes. It combines historical data, predictive models, and business rules to suggest the best course of action.
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Data Transformation

This step involves converting and reshaping data to make it suitable for analysis. It can include processes like aggregating data, creating new variables, and formatting data into a consistent structure.
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Statistical Analysis

Using various statistical methods, analysts test hypotheses, identify significant relationships, and quantify the strength of those relationships. This step involves applying appropriate statistical tests to determine whether observed patterns are statistically significant or likely to have occurred by chance.
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Data Collection

Gathering relevant data from various sources, which can include databases, surveys, sensors, spreadsheets, and more.
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Data Cleaning

Raw data often contains errors, inconsistencies, missing values, and outliers. Data cleaning involves identifying and rectifying these issues to ensure the accuracy and reliability of the analysis.
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Why choose services from Globus System Information?

Data analysis is a dynamic process that blends domain knowledge, statistical techniques, and technological tools to transform raw data into valuable insights that can drive informed decision-making across various fields such as business, healthcare, science, social sciences, and more. Data analytics might involve analyzing customer purchase data to understand buying patterns. The insights derived from this analysis could include information about peak sales periods, popular products, and customer demographics.

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We’re happy to answer any questions you may have and help you determine which of our services best fit your needs.

Call us at: +1 713-309-9659
Your benefits:
  • Client-oriented
  • Independent
  • Competent
  • Results-driven
  • Problem-solving
  • Transparent
What happens next?
1

We Schedule a call at your convenience 

2

We do a discovery and consulting meting 

3

We prepare a proposal 

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