2 datasets found
  1. Credit card dataset for visualization

    • kaggle.com
    Updated Sep 30, 2023
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    Peachji (2023). Credit card dataset for visualization [Dataset]. https://www.kaggle.com/datasets/peachji/credit-card-dataset
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 30, 2023
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Peachji
    License

    https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

    Description

    This dataset had adapted from 'Credit Card Churn Prediction: https://www.kaggle.com/datasets/anwarsan/credit-card-bank-churn ' for visualization in our university project. We have modified customer information, spending behavior, and also added revenue targets.

    Scenario 🕶️ In 2019, the marketing team launched a campaign to attract millennial customers (born 1980-1996) with the goal of increasing revenue and enhancing the brand's appeal to a younger audience.
    As the BI team, your task is to create a dashboard for users. 1. The Vice President of Sales wants to view the performance of the credit business. 2. The marketing team is interested in understanding customer segments and customer spending to measure Customer Lifetime Value (CLV) and Marketing Cost per Acquired Customer (MCAC).

    ⚠️Note: This is just a suggestion to guide the creation of the dashboard

    Example in Tableau

    Executive summary https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10099382%2F508a2d2d89dabdfd368743f86c2a71e1%2Fexecutive%20overview.JPG?generation=1696110593484137&alt=media" alt=""> Customer behavior https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10099382%2F1e4a1f62a25eab3c6707d002243894c7%2Fcustomer_behaviour.JPG?generation=1696110689732332&alt=media" alt="">

  2. Visual Analytics Market by End-user and Geography - Forecast and Analysis...

    • technavio.com
    pdf
    Updated Sep 16, 2021
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    Technavio (2021). Visual Analytics Market by End-user and Geography - Forecast and Analysis 2021-2025 [Dataset]. https://www.technavio.com/report/visual-analytics-market-industry-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 16, 2021
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2020 - 2025
    Description

    Snapshot img

    The visual analytics market has the potential to grow by USD 4.39 billion during 2021-2025, and the market’s growth momentum will accelerate at a CAGR of 11.32%.

    This visual analytics market research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches. Furthermore, this report extensively covers market segmentation by end-user (BFSI, CPG and retail, healthcare, manufacturing, and others) and geography (North America, APAC, Europe, MEA, and South America). The visual analytics market report also offers information on several market vendors, including Altair Engineering Inc., Alteryx Inc., Arcadia Data Inc., Datameer Inc., International Business Machines Corp., Microsoft Corp., QlikTech international AB, SAP SE, SAS Institute Inc., and Tableau Software LLC among others.

    What will the Visual Analytics Market Size be in 2021?

    Browse TOC and LoE with selected illustrations and example pages of Visual Analytics Market

    Get Your FREE Sample Now!

    Visual Analytics Market: Key Drivers and Trends

    The growing availability and complexity of data are notably driving the visual analytics market growth, although factors such as data privacy and security concerns may impede market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the visual analytics industry. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

          The growing availability and complexity of data will fuel the growth of the visual analytics market size.
          The availability of a large volume of data and rapidly growing data complexity in organizations are the major drivers for the development of various intelligence-based data analysis techniques.
          Intelligent techniques involving technologies such as ML and AI can help companies retrieve the huge amount of complex data in a useful manner and use that data to enhance their services and business processes. This, in turn, is expected to drive the growth of the market for visual analytics.
    
    
    
    
          The increased dependency on Internet for critical operations will drive the visual analytics market growth during the forecast period.
          E-commerce vendors are posting advertisements on search engines and other websites to attract several customers. This will increase the demand for visual analytics to help e-commerce vendors track customers, analyze customer behavior, and ensure proper decision-making.
          With the rising popularity and use of e-commerce, the number of digital media advertisements by e-commerce vendors is expected to increase, which will drive the growth of the market during the forecast period.
    

    This visual analytics market analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2021-2025.

    Who are the Major Visual Analytics Market Vendors?

    The report analyzes the market’s competitive landscape and offers information on several market vendors, including:

    Altair Engineering Inc.
    Alteryx Inc.
    Arcadia Data Inc.
    Datameer Inc.
    International Business Machines Corp.
    Microsoft Corp.
    QlikTech international AB
    SAP SE
    SAS Institute Inc.
    Tableau Software LLC
    

    This statistical study of the visual analytics market encompasses successful business strategies deployed by the key vendors. The visual analytics market is fragmented and the vendors are deploying growth strategies such as providing customized solutions to compete in the market.

    To make the most of the opportunities and recover from post COVID-19 impact, market vendors should focus more on the growth prospects in the fast-growing segments, while maintaining their positions in the slow-growing segments.

    The visual analytics market forecast report offers in-depth insights into key vendor profiles. The profiles include information on the production, sustainability, and prospects of the leading companies.

    Which are the Key Regions for Visual Analytics Market?

    For more insights on the market share of various regions Request for a FREE sample now!

    35% of the market’s growth will originate from North America during the forecast period. The US is a key market for visual analytics in North America. Market growth in this region will be faster than the growth of the market in Europe, MEA, and South America.

    This market research report entails detailed information on the competitive intelligence, marketing gaps, and regional opportunities in store for vendors, which will assist in creating efficient business plans.

    What are the Revenue-generating End-user Segments in the Visual Analy

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Share
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TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Peachji (2023). Credit card dataset for visualization [Dataset]. https://www.kaggle.com/datasets/peachji/credit-card-dataset
Organization logo

Credit card dataset for visualization

This dataset is suitable for data visualization!

Explore at:
CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
Dataset updated
Sep 30, 2023
Dataset provided by
Kagglehttp://kaggle.com/
Authors
Peachji
License

https://cdla.io/permissive-1-0/https://cdla.io/permissive-1-0/

Description

This dataset had adapted from 'Credit Card Churn Prediction: https://www.kaggle.com/datasets/anwarsan/credit-card-bank-churn ' for visualization in our university project. We have modified customer information, spending behavior, and also added revenue targets.

Scenario 🕶️ In 2019, the marketing team launched a campaign to attract millennial customers (born 1980-1996) with the goal of increasing revenue and enhancing the brand's appeal to a younger audience.
As the BI team, your task is to create a dashboard for users. 1. The Vice President of Sales wants to view the performance of the credit business. 2. The marketing team is interested in understanding customer segments and customer spending to measure Customer Lifetime Value (CLV) and Marketing Cost per Acquired Customer (MCAC).

⚠️Note: This is just a suggestion to guide the creation of the dashboard

Example in Tableau

Executive summary https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10099382%2F508a2d2d89dabdfd368743f86c2a71e1%2Fexecutive%20overview.JPG?generation=1696110593484137&alt=media" alt=""> Customer behavior https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F10099382%2F1e4a1f62a25eab3c6707d002243894c7%2Fcustomer_behaviour.JPG?generation=1696110689732332&alt=media" alt="">

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