Data and analytics leaders

Resources for data science-driven data and analytics leaders.

  • Optimize Your Analytics — Why You Need a Data Acquisition Strategy

    Optimize Your Analytics — Why You Need a Data Acquisition Strategy

    It’s no secret that external data can transform organizations’ data science and advanced analytics, but finding it is easier said than done. See how a data acquisition strategy helps

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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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  • 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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  • Solution Insight: Augmented Data Discovery by Explorium

    Solution Insight: Augmented Data Discovery by Explorium

    This solution insight gives you a complete overview of augmented data discovery using the Explorium data science platform.

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  • Webinar: Find and Use the Data You Need With Augmented Data Discovery46:39

    Webinar: Find and Use the Data You Need With Augmented Data Discovery

    In this on-demand webinar, learn how you can use Explorium for augmented data discovery and connect to the data you need for better business insights.

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  • How To Include Data Science Platforms in Your 2021 Budget

    How To Include Data Science Platforms in Your 2021 Budget

    In this article, we explain how to know if you need a data science platform, how to approach questions of costs and savings, and what to consider when calculating your TCO.

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  • Solution Insight: How Explorium Fits Into The Data Workflow

    Solution Insight: How Explorium Fits Into The Data Workflow

    Learn how Explorium fits into every part of the data workflow for machine learning for streamlined data discovery and enrichment.

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  • The Guide to External Data for Better User Experiences in Financial Services

    The Guide to External Data for Better User Experiences in Financial Services

    Are your KYC processes streamlined enough to get the answers you need, fast? Or are valuable customers dropping off before you get the chance to onboard them?

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  • 4 Ways To Know If You’re Using the Right Data Preparation Tools

    4 Ways To Know If You’re Using the Right Data Preparation Tools

    In this blog post, we look at the key questions you need to ask to make sure you’re using the data preparation tools you really need.

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  • Building the Dream Team: Who Should Be Part of Your Data Science Organization?

    Building the Dream Team: Who Should Be Part of Your Data Science Organization?

    Creating a data science team is about so much more than tracking down the right job titles or developing the right algorithms. Find out the key roles you need to build a rock star data science team.

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  • How to Use Data to Position Your Company For Tomorrow

    How to Use Data to Position Your Company For Tomorrow

    In this article, we explain how CDOs and Data Leaders can use data science to help all parts of the business stay ahead of the curve.

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  • What Is Augmented Data Discovery with Explorium?

    What Is Augmented Data Discovery with Explorium?

    With so much data in your own stores, it’s tempting to think you have all you need to start producing great predictive insights. This might be The post What Is Augmented Data Discovery with...

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  • Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?

    Start Small and Scale Smart: Do You Need a Data Science Team, Platform, or Service?

    There’s no one way to start using data science. This guide walks you through the pros and cons of each approach and discusses how to allocate your budget efficiently.

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  • Turning Data from a Cost Center into an Asset

    Turning Data from a Cost Center into an Asset

    Many organizations see data acquisition and management as a business expense. You may hear questions like, what does it cost to collect and capture this data? The post Turning Data from a Cost...

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  • How Will Data Privacy Look in The Future?

    How Will Data Privacy Look in The Future?

    Data privacy continues to be a major hurdle for risk officers. In this article, we explain how the global increase in data surveillance creates short term opportunities but long term risks.

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  • How to Deploy and Future-Proof Your Models: From Theory to Production

    How to Deploy and Future-Proof Your Models: From Theory to Production

    It’s no secret that while most organizations understand the importance of machine learning, most initiatives never make it off the ground. Follow this guide to guarantee you make it to production.

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  • Reframing the Connection Between Data Science and Automation

    Reframing the Connection Between Data Science and Automation

    Automation and data science are a match made in heaven. It's up to data leaders to understand how to introduce it to their teams in the right way.

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  • Asking the Right Questions: How Machine Learning Improves Your Insights

    Asking the Right Questions: How Machine Learning Improves Your Insights

    In this article, we explain how the data science revolution is all about asking questions that get precise answers for the future.

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