A Guide for Data Teams

Everything Data-Related in
1 Place

Enhance Collaboration on
Data Projects

While spreadsheets have carved out their place in the data toolkit, they easily become cumbersome and challenging to deal with when working on large datasets. Enter: Dataiku. This guidebook will show why it's a great tool for doing much of what you do in Excel (like cleaning, preparing, and analyzing data), except on larger, more complex datasets.

Accelerate Beyond Excel With Dataiku Today

62% of Organizations Face Significant Challenges Due to Spreadsheet Errors

In April 2024, Dataiku and Cognizant surveyed 200 senior analytics and IT leaders globally, revealing that 62% faced significant issues due to spreadsheet errors.

Dataiku offers a transformative solution, empowering teams to efficiently manage and analyze data at scale, thereby enhancing decision-making and organizational success. Our guide offers practical solutions for dataset integration and common data challenges, along with a helpful mapping of typical Excel functions to Dataiku, streamlining the transition for new platform users.

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How Dataiku Can Breach the
Limitations of Spreadsheets

Enhance Your Analysis With Advanced Tools

From Excel to Dataiku

Explore how Dataiku simplifies the transition from Excel, providing powerful tools for efficient data management and analysis without the complexity of traditional spreadsheet methods.

See p. 7

Unique Dataiku Capabilities

Go beyond Excel's constraints with Dataiku, leveraging advanced project navigation, detailed recipe summaries, and powerful data parsing and geographic processing tools to enhance your analytical capabilities.

See p. 32

Use Cases for Analysts

Learn how Dataiku simplifies dataset integration and preparation, enabling analysts to efficiently navigate complex data landscapes and collaborate seamlessly across diverse datasets.
See p. 36

“When I entered the tech space for advanced analytics and AI, I always felt a little bit hamstrung by not being a really proficient Python or SQL coder. And so when I first was introduced to Dataiku 4 years ago...I felt like this is what I’ve been missing. It’s robust, it’s intuitive like Excel, but I can do the complicated things I know how to do to some extent in Excel but on large datasets in a way that scales.”

Christina Hsiao
Product Marketing Director, Dataiku
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Move From Excel to Dataiku Now