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Data analytics refers to the process of examining, cleaning, transforming, and modeling data with the goal of discovering useful information, drawing conclusions, and supporting decision-making. It involves various techniques and tools to analyze data sets to uncover patterns, correlations, trends, and insights.
We provide your company with BI tools, to access your own data and present it with various analysis.
Here are some of the data analytics:
Data Collection:
- Gathering data from various sources such as databases, spreadsheets, sensors, social media, and more.
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Data Cleaning:
- Ensuring the data is accurate, complete, and free of errors or inconsistencies. This involves handling missing values, outliers, and duplicate records.
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Data Transformation:
- Converting data into a suitable format or structure for analysis. This may include normalization, aggregation, and feature engineering.
Exploratory Data Analysis (EDA):
- Using statistical methods and visualization techniques to explore the data and understand its main characteristics. This helps in identifying patterns, anomalies, and initial insights.
Statistical Analysis:
- Applying statistical tests and models to analyze relationships within the data and validate hypotheses. This includes techniques such as regression analysis, hypothesis testing, and ANOVA.
Data Visualization:
- Creating charts, graphs, and dashboards to visually represent data and analysis results. This makes it easier to communicate findings and insights to stakeholders.
Predictive Analytics:
- Using machine learning and statistical models to predict future outcomes based on historical data. Common techniques include regression models, decision trees, and neural networks.