Explorium Blog

  • Why External Data Platforms Are The Next Step for Alternative Data Seekers

    Why External Data Platforms Are The Next Step for Alternative Data Seekers

    As organizations move from data analytics to data science, their data needs evolve, too. Without data, there is no machine learning (ML). But we’re not talking The post Why External Data Platforms...

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  • How to Find and Onboard External Data Without the Headaches

    How to Find and Onboard External Data Without the Headaches

    “External data sources are helping businesses personalize marketing offers, improve HR decisions, gain new revenue streams by launching new products or services, enhance risk visibility and The...

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  • Seeking Context, Organizations Struggle With Fragmented External Data Market

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  • Explorium Launches Signal Studio - Complete External Data Enrichment for Brand New Business Breakthroughs

    Explorium Launches Signal Studio - Complete External Data Enrichment for Brand New Business Breakthroughs

    Whatever your business challenge, you’ll need data you can rely on to solve it.  It’s highly unlikely that the data you have in-house offers the scope The post Explorium Launches Signal Studio -...

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  • Why Do You Need a Data Acquisition Strategy?

    Why Do You Need a Data Acquisition Strategy?

    Here’s a question: does your organization have all the information it could ever need to succeed? I’ve yet to meet a business leader whose answer to The post Why Do You Need a Data Acquisition...

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  • Decisions, Decisions: A Quick Guide to Classification Algorithms and How to Choose the Right One

    Decisions, Decisions: A Quick Guide to Classification Algorithms and How to Choose the Right One

    We explain when to pick clustering, decision trees or linear regression algorithms for your machine learning project. The post Decisions, Decisions: A Quick Guide...

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  • Harnessing the power of external data - McKinsey Digital

    Harnessing the power of external data - McKinsey Digital

    By Mohammed Aaser, Chief Data Officer at McKinsey and Doug McElhaney, Partner at McKinsey

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  • How to Get Started with Data Science in Marketing

    How to Get Started with Data Science in Marketing

    We guide you through the all-important first steps you need for a successful data science in marketing strategy.

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  • Needle in a Haystack — How Signal Studio Upgrades your Data Discovery

    Needle in a Haystack — How Signal Studio Upgrades your Data Discovery

    Data acquisition is crucial for your organization's success, but it's not always easy to find. See how Explorium's Signal Studio can help.

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  • Bias or Variance? How Each Affects Your Model and Why You Should Care

    Bias or Variance? How Each Affects Your Model and Why You Should Care

    We explain the difference between machine learning bias and variance, why it’s so hard to fix both at once, and how they can impact your model.

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  • The “IT” Factor: Why Alternative Data is Key to ML Marketing Automation

    The “IT” Factor: Why Alternative Data is Key to ML Marketing Automation

    In this post, we explain data acquisition strategies, why your machine learning project depends on it, and how to plan for your team. The post The “IT” Factor: Why Alternative...

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  • A Brief Introduction to Predictive Model Deployment

    A Brief Introduction to Predictive Model Deployment

    In this blog post, we share our top tips for effective predictive model deployment from training and testing to keeping your ML models fresh.

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  • 2021 Will Be an Inflection Point for Data Science and Fintech

    2021 Will Be an Inflection Point for Data Science and Fintech

    Fintech is growing, but it will need to embrace data science and alternative data to get ahead. Explorium's Dedy Kredo breaks down why. The post 2021 Will Be an Inflection Point for...

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  • ECommerce is Pushing Forward in 2021, and ML is The Way

    ECommerce is Pushing Forward in 2021, and ML is The Way

    Join Gali Michaeli, Explorium's Head of Customer Success for EMEA, as she explores what's in store for eCommerce and Data science in 2021. The post ECommerce is...

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  • What is Feature Engineering?

    What is Feature Engineering?

    What is feature engineering, and why should you automate it? In this blog post, we answer these questions and more.

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  • Best of the Best: Our Top 10 Blog Posts of 2020

    Best of the Best: Our Top 10 Blog Posts of 2020

    Before we turn the page on 2020, let’s look back at our top ten blogs of the year that was.

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  • Looking Back and Predicting 2021: Q&A With Shai Yanovski

    Looking Back and Predicting 2021: Q&A With Shai Yanovski

    Shai Yanovski, Explorium’s VP of Data and Data Science, walks us through the year that was, his biggest surprises, and what he sees for machine learning and data science heading into 2021.

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  • The Data Science Buzzwords and Acronyms That Defined 2020

    The Data Science Buzzwords and Acronyms That Defined 2020

    In the spirit of the new year, let’s take a look back at all the acronyms, buzzwords, and terms that dominated data science in 2020.

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  • How Data Science Evolved in 2020: Q&A With Jon Shepherd

    How Data Science Evolved in 2020: Q&A With Jon Shepherd

    In this Q&A with our VP of Enterprise Sales, Jon Shepherd, we break down all of data science trends from 2020 and how they'll impact businesses in 2021.

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  • The Need for Better External Data Discovery in 2021

    The Need for Better External Data Discovery in 2021

    Read what our CEO, Maor Shlomo, learned in 2020 and why he believes that 2021 will be the ear external data discovery takes center stage.

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