The AI Book
    Facebook Twitter Instagram
    The AI BookThe AI Book
    • Home
    • Categories
      • AI Media Processing
      • AI Language processing (NLP)
      • AI Marketing
      • AI Business Applications
    • Guides
    • Contact
    Subscribe
    Facebook Twitter Instagram
    The AI Book
    AI Business Applications

    Create a time series ratio analysis dashboard

    13 June 2023No Comments2 Mins Read

    [ad_1]

    Sponsored post

    Create a time series ratio analysis dashboard

    View sample time series ratio analysis dashboards and learn how to create a web-based, interactive, time series ratio analysis dashboard of your business ratios in four easy steps.

    Whether you’re analyzing growth rate, market share, or debt-to-equity, identify and map positive or negative trends across customers, stores, product SKUs, departments, or sales channels.

    After you have summarized your key ratio data for 12 months, import or paste into the TIME SERIES Outlier and Anomaly Detection Template and click ‘Time Series Boxplot Analysis!’ button. Read 311 Call Center Performance: Rating Service Levels for an example of this time series analysis template applied to call center ratios.

    You’ll automatically see a chart on the Chart tab of the worksheet that summarizes your key ratio trends, so you can visualize the segments that require your attention. Click the Data tab on the worksheet to see how the template analyzed your data and created a chart.

    See the free sample output – TIME SERIES Outlier and Anomaly Detection template for an example of the output you would get using the TIME SERIES Outlier and Anomaly Detection template.

    Analyze and find trends for the key ratios that drive your business. Also, don’t forget to also try the free ratio analysis template available on KDNuggets.

    [ad_2]

    Source link

    Previous ArticleRegister now for the Transform Women in AI Breakfast and nominate leaders for the Women in AI Awards
    Next Article FastAPI and Streamlit: The Python Duo You Should Know About | by Paul Justin | June 2023
    The AI Book

    Related Posts

    AI Business Applications

    An in-depth guide to the Meta LLaMa language model and LlaMa 2

    25 July 2023
    AI Business Applications

    Large language models for multilingual AI-driven virtual assistants

    23 July 2023
    AI Business Applications

    How SAS can help catapult practitioners’ careers

    22 July 2023
    Add A Comment

    Leave A Reply Cancel Reply

    • Privacy Policy
    • Terms and Conditions
    • About Us
    • Contact Form
    © 2025 The AI Book.

    Type above and press Enter to search. Press Esc to cancel.