What is Data Analytics? Definition, Uses

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Data Analytics Classes in Pune  What is Data Analytics?
Data Analytics is the activity of reviewing, structuring, and understanding raw data to find valuable information, make conclusions, and assist in decision-making. It involves statistical analysis, technology, and subject-matter expertise to transform data into decisive insights.

Definition:
Data Analytics is the process of systematic computational processing of data. It is the process of examining, cleaning, transforming, and modeling the data in a way to identify patterns, draw conclusions, and make decisions.

Data Analytics Types:
Descriptive Analytics – What happened?
Distills past data to find trends and patterns (e.g., monthly sales reporting).

Diagnostic Analytics – Why did it happen?
Browses deeper into data to know reasons behind events (e.g., analysis of customer churn).

Predictive Analytics – What will most likely occur?
Makes predictions based on statistical models and machine learning (e.g., demand forecasting).
Suggests action based on algorithms and simulations Data Analytics Course in Pune  (e.g., route optimization).

Typical Applications of Data Analytics:
Industry\tUse Case
Business\tMarket analysis, customer segmentation, sales forecasting
Healthcare\tDiagnosis of patients, effectiveness of treatments, operational effectiveness
Finance\tDetection of fraud, risk analysis, algorithmic trading
Retail\tInventory optimization, price strategy, customer behavior
Sports\tAnalysis of player performance, injury prediction
Education\tTracking of student performance, optimization of curriculum
Government
Policy impact assessment, resource allocation, crime pattern analysis

Tools Typically Used:
Excel – Basic analysis and dashboards
SQL – Data querying
Python / R – Advanced analytics, machine learning
Tableau / Power BI – Data visualization
Do you want to find out how data analytics is applied in a particular Data Analytics Training in Pune industry or career path?

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Data analytics is the process of analyzing raw data to find patterns, trends, and actionable insights that help organizations make informed decisions. It includes various forms like descriptive, predictive, and prescriptive analytics, and it's used across industries to improve performance, efficiency, and customer satisfaction.
In the case of El Pollo Loco delivery, data analytics plays a major role in optimizing the customer experience. By analyzing customer orders, delivery times, and location data, El Pollo Loco can streamline logistics, reduce wait times, and offer personalized menu suggestions based on customer preferences. For example, analytics can reveal that customers frequently order items like the Double Chicken Tostada Salad or Citrus Avocado Fresca Salad in certain areas—helping the brand stock kitchens accordingly and prioritize promotions.