Data and analytics leaders

Resources for data science-driven data and analytics leaders.

  • 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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  • 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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  • 3 Use Cases Data Leaders Must Implement Today

    3 Use Cases Data Leaders Must Implement Today

    From understanding your own business to better predicting uncertain conditions around you, these are just a few ways data leaders can use external data for better business decisions.

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  • Why Data Marketplaces Are the Future of the Data Economy

    Why Data Marketplaces Are the Future of the Data Economy

    Data marketplaces make the lives of data scientists looking for machine learning datasets much easier. Read how.

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  • How Our COVID-19 Signals Give Businesses Better Decision-Making Capabilities

    How Our COVID-19 Signals Give Businesses Better Decision-Making Capabilities

    With ML models rendered useless, we built an entirely new set of COVID-19 signals in our platform that let organizations understand their risk derived from the current pandemic.

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  • How Data and Analytics Leaders Can Avoid Roadblocks to Data Acquisition

    How Data and Analytics Leaders Can Avoid Roadblocks to Data Acquisition

    Data acquisition is a long and time-consuming process that many data and analytics leaders don't have time for. How can you streamline it for a major impact?

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