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Introhive VS Dataiku

Compare Introhive VS Dataiku and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Introhive logo Introhive

CRMs are only as accurate as the data they contain. Promises of success and ease of use are left incomplete due to inaccurate data and the time required to manually input records.

Dataiku logo Dataiku

Dataiku is the developer of DSS, the integrated development platform for data professionals to turn raw data into predictions.
  • Introhive Landing page
    Landing page //
    2023-10-07

Introhive is a sales enablement and sales collaboration tool that updates vital customer and employee related sales data straight into your CRM. Introhive compiles all your online collaboration with particular sales prospects, via email, social media etc., and in turn inputs this information to the contacts profile to analyze sales success over an extended period of time. Introhive data findings are then presented to you in a graph to show the exact relationship your enterprise has with clients and prospects.

  • Dataiku Landing page
    Landing page //
    2023-08-17

Introhive videos

+ Add

Introhive | Day in the Life of a Business Development Professional

More videos:

  • Review - Briefing 5P 2020 | Harnessing relationship intelligence to drive revenue, with Introhive

Dataiku videos

+ Add

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 Introhive and Dataiku)

Introhive

Dataiku

Sales Tools
100 100%
Sales Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
CRM
100 100%
CRM
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Introhive and Dataiku

Introhive Reviews

We have no reviews of Introhive yet.
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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.
Source: searchbusinessanalytics.techtarget.com
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....
Source: solutionsreview.com

What are some alternatives?

When comparing Introhive and Dataiku, you can also consider the following products

RingLead - RingLead offers a complete end-to-end suite of products to clean, protect, and enhance company and contact information.

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

WinPure Clean & Match - WinPure Clean & Match is the worlds best data cleansing & data matching software for sophisticated matching, cleansing and deduplication.

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

Microsoft Data Quality Services - Data Quality

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

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