Software Alternatives, Accelerators & Startups

KPI Dashboard in Excel VS Dataiku

Compare KPI Dashboard in Excel VS Dataiku and see what are their differences

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KPI Dashboard in Excel logo KPI Dashboard in Excel

Professional Management KPI Dashboard. Includes trend charts, past year/target comparisons, monthly & cumulative analysis in performance dashboard.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • KPI Dashboard in Excel Landing page
    Landing page //
    2023-08-02
  • Dataiku Landing page
    Landing page //
    2023-08-17

Dataiku

Release Date
2013 January
Startup details
Country
United States
State
New York
City
New York
Founder(s)
Clément Stenac
Employees
500 - 999

KPI Dashboard in Excel features and specs

  • Cost-Effective
    Using Excel for a KPI dashboard is generally cost-effective as it often utilizes existing software without the need for additional purchases or subscriptions.
  • Familiar Interface
    Many users are familiar with Excel, which reduces the learning curve and training costs associated with using the tool for creating KPI dashboards.
  • Customizable
    Excel provides a high degree of customization, allowing users to tailor the dashboard to fit specific business requirements and visual preferences.
  • Data Connectivity
    Excel can connect to various data sources and integrates well with other tools in the Microsoft Office suite, facilitating efficient data management.
  • Flexibility
    Excel offers flexibility for a wide range of analytical tasks, enabling users to build complex models and calculations as needed.

Possible disadvantages of KPI Dashboard in Excel

  • Scalability Issues
    Excel can struggle with scalability, particularly when handling large datasets or when multiple users need to collaborate simultaneously.
  • Performance Limitations
    Large or complex spreadsheets may impact performance, leading to slow load times and potential crashes.
  • Manual Data Entry
    Dashboards in Excel often require manual data entry which can lead to errors and consume significant time, reducing efficiency.
  • Limited Automation
    Excel offers limited options for automation, which means repetitive tasks may still need manual handling unless additional programming (via VBA) is implemented.
  • Security Concerns
    Excel files can pose security risks if not properly protected, as sensitive data might be easily accessed or altered by unauthorized users.

Dataiku features and specs

  • User-Friendly Interface
    Dataiku offers an intuitive and easy-to-navigate visual interface that allows users of all technical backgrounds to create, manage, and deploy data projects without needing extensive coding knowledge.
  • Collaborative Environment
    The platform supports collaborative work, enabling data scientists, engineers, and analysts to work together on the same projects seamlessly, sharing insights and models easily.
  • End-to-End Workflow
    Dataiku provides tools that cover the entire data pipeline, from data preparation and cleaning to model building, deployment, and monitoring, making it a comprehensive solution for data teams.
  • Integrations and Extensibility
    The platform integrates with many data storage systems, machine learning libraries, and cloud services, allowing users to leverage existing tools and infrastructure.
  • Automation Capabilities
    Dataiku offers automation features such as scheduling, automation scenarios, and machine learning model monitoring, which can significantly enhance productivity and efficiency.
  • Rich Documentation and Support
    Dataiku provides extensive documentation, tutorials, and a strong support community to help users navigate the platform and troubleshoot issues.

Possible disadvantages of Dataiku

  • Pricing
    Dataiku can be expensive, particularly for small businesses and startups. The cost may be a barrier to entry for organizations with limited budgets.
  • Resource Intensive
    The platform can be resource-hungry, requiring significant computing power, which may necessitate additional investments in hardware or cloud services.
  • Learning Curve for Advanced Features
    Although the basic interface is user-friendly, mastering advanced features and customizations can require a steep learning curve and significant training.
  • Limited Offline Capabilities
    Dataiku relies heavily on cloud services for many of its functionalities. This dependence might be restrictive in environments with limited or no internet access.
  • Custom Model Flexibility
    While Dataiku supports many machine learning frameworks, the process of integrating custom or niche models can be cumbersome compared to using those frameworks directly.
  • Dependency on Ecosystem
    The seamless experience of Dataiku often relies on the broader cloud and data ecosystem. Changes or issues in integrated services can impact its performance and reliability.

KPI Dashboard in Excel videos

How To... Create a Basic KPI Dashboard in Excel 2010

More videos:

  • Review - Build a KPI Dashboard in Excel - Sales Scorecard Template

Dataiku videos

AutoML with Dataiku: And End-to-End Demo

More videos:

  • Review - Dataiku: For Everyone in the Data-Powered Organization
  • Tutorial - Dataiku DSS Tutorial 101: Your very first steps

Category Popularity

0-100% (relative to KPI Dashboard in Excel and Dataiku)
Data Dashboard
100 100%
0% 0
Data Science And Machine Learning
Office & Productivity
100 100%
0% 0
Data Science Tools
0 0%
100% 100

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Reviews

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Dataiku Reviews

15 data science tools to consider using in 2021
Some platforms are also available in free open source or community editions -- examples include Dataiku and H2O. Knime combines an open source analytics platform with a commercial Knime Server software package that supports team-based collaboration and workflow automation, deployment and management.
The 16 Best Data Science and Machine Learning Platforms for 2021
Description: Dataiku offers an advanced analytics solution that allows organizations to create their own data tools. The company’s flagship product features a team-based user interface for both data analysts and data scientists. Dataiku’s unified framework for development and deployment provides immediate access to all the features needed to design data tools from scratch....

What are some alternatives?

When comparing KPI Dashboard in Excel and Dataiku, you can also consider the following products

Kutools for Excel - A handy Microsoft Excel add-ins collection to free you from time-consuming operations.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Excel Dashboard School - Free Excel add-ins and tools on Excel Dashboard School. Boost your work productivity and save your time! No trials, 100% power!

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

UpSlide - UpSlide helps you produce high-quality reports and presentations faster in PowerPoint, Excel and Word. Save up to 12h each month with just a few clicks!

NumPy - NumPy is the fundamental package for scientific computing with Python