Data and analytics leaders

Resources for data science-driven data and analytics leaders.

  • 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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  • How to Navigate the New Data Science and Machine Learning Landscape

    How to Navigate the New Data Science and Machine Learning Landscape

    In this article, we explain how to turn the biggest data science challenges of the moment into business opportunities.

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  • 6 Steps to Jumpstart Machine Learning Using the Resources You Already Have

    6 Steps to Jumpstart Machine Learning Using the Resources You Already Have

    ML has gone from buzzword to business necessity, and implementing it is quickly becoming mandatory. Here are 6 easy steps to follow to get going with the resources you have.

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  • Where’s the ROI? Demonstrating the Value of Data

    Where’s the ROI? Demonstrating the Value of Data

    Leaders must find a way to prove, tangibly, that embracing data and investing in better ways to use it has true value and real ROI.

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  • The Three Skills You Need to Instill in Your Data Science Team

    The Three Skills You Need to Instill in Your Data Science Team

    To succeed in the data science field, you need more than just technical acumen. We reveal the secrets to making your team indispensable.

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  • Using External Data to Future-Proof Your Organization and Ensure Success Today and Tomorrow

    Using External Data to Future-Proof Your Organization and Ensure Success Today and Tomorrow

    If the current economic crisis has shown the business world anything, it’s that no amount of data analysis can prepare you for the event of having the financial market flipping upside down.

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