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Top Predictive Analytics Software for Data Blending

7 predictive analytics software ranked by rating, review volume and listing quality.

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Between them, the 7 predictive analytics software on this page cover data mining (6), benchmarking (6), modeling & simulation (4) and data visualization (4). 7 of them have written a profile you can read before you get in touch.

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  1. SAS Enterprise Miner logo

    SAS Enterprise Miner

    Modeling & Simulation · Data Mining · Data Visualization

    SAS Enterprise Miner is a data mining product from SAS. It helps businesses build models that describe or predict outcomes, and it belongs to the vendor's broader analytics and…

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  2. Retention Science logo

    Retention Science

    Data Mining · AI/Machine Learning · Demand Forecasting

    Retention Science is a marketing automation platform for ecommerce.

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  3. Striim logo

    Striim

    Ad Hoc Reports · Match & Merge · Key Performance Indicators

    Striim is a data integration and streaming platform that combines change data capture, stream analytics and visualisation.

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  4. Tercept Unified Analytics logo

    Tercept Unified Analytics

    Trend / Problem Indicators · Ad Hoc Reports · Match & Merge

    Tercept Unified Analytics collects monetisation and marketing data from many sources and organises it into a single dashboard for digital publishers.

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  5. KNIME Analytics Platform logo

    KNIME Analytics Platform

    Modeling & Simulation · Data Mining · AI/Machine Learning

    KNIME Analytics Platform is a data science tool built around visual workflows.

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  6. MicroStrategy Enterprise Analytics logo

    MicroStrategy Enterprise Analytics

    Trend / Problem Indicators · Modeling & Simulation · Ad Hoc Reports

    MicroStrategy Enterprise Analytics is a business intelligence platform for organisations that need reporting and analytics at scale.

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  7. Maroon.ai logo

    Maroon.ai

    Modeling & Simulation · Data Mining · AI/Machine Learning

    Maroon.ai is a software-as-a-service product for demand generation and revenue teams. It uses predictive analytics to work out which buyers fit and what they need.

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