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Outliers

Intended audience: END-USERS DATA SCIENCE DEVELOPERS

AO Easy Answers: 4.3

Overview

Outliers are data points that do not follow the trend of the rest of the data. This insight identifies the points that stand out.

Purpose

Identify anomalies that significantly deviate from the general pattern in sales or marketing data.

Business Example

Detecting unusual spikes or drops in product sales to understand and address potential issues or opportunities.

Scenario

A retail company wants to identify abnormal spikes or drops in the sales of a particular product. These outliers could be due to various factors such as a sudden change in consumer preferences, inventory issues, or an error in promotional campaigns.

Results

By detecting these outliers, the company can investigate the cause of unusual sales patterns. This can help in addressing potential problems, such as correcting inventory levels or adjusting marketing strategies. Alternatively, if the outlier is positive (like a sudden sales spike), the company can identify what drove the success and apply similar strategies to other products.

Data Sample

Date

Product_Sales

Inventory_Levels

Marketing_Spend

2023-01-01 00:00:00

209.9342831

569.9677718

932.4821725

2023-01-02 00:00:00

197.234714

546.2316841

985.5481329

2023-01-03 00:00:00

212.9537708

502.9815185

920.7580079

2023-01-04 00:00:00

230.4605971

467.6531611

969.203847

2023-01-05 00:00:00

195.3169325

534.9111657

810.6385333

2023-01-06 00:00:00

195.3172609

519.6742693

1021.329371

2023-01-07 00:00:00

231.5842563

544.759661

1000.120548

2023-01-08 00:00:00

215.3486946

531.7585901

918.2911369

2023-01-09 00:00:00

190.6105123

552.4776358

1065.924567

Infographics Insight

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Full Story Insight

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End User Configuration - using Easy Answers solution

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