Whitepapers/ebooks

  • Ventana Research Viewpoint: Better Insights with External Data

    Ventana Research Viewpoint: Better Insights with External Data

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  • The Definitive Guide to External Data for Fintech

    The Definitive Guide to External Data for Fintech

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  • The Business Value and Benefits of External Data Platforms

    The Business Value and Benefits of External Data Platforms

    External data platforms enable organizations to automatically discover and use thousands of relevant external data signals to improve analytics and machine learning programs.

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  • Rethinking Data Acquisition With Explorium

    Rethinking Data Acquisition With Explorium

    Explore our resource Rethinking Data Acquisition with Explorium. Without the right technology - and the right data - many analytics and ML projects never get off the ground.

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  • Explorium 2021State of External Data Acquisition

    Explorium 2021State of External Data Acquisition

    What is your external data acquisition strategy? If you’d like to know how you compare with other organizations in the pursuit of the most relevant 3rd-party data, then don’t miss our latest research.

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  • 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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  • The Most Common Errors in ML Projects and How to Avoid Them

    The Most Common Errors in ML Projects and How to Avoid Them

    In this whitepaper, we cover some of the most common errors in ML initiatives, and best practices to avoid them

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  • 2020 Data Science Review (and What to Expect in 2021)

    2020 Data Science Review (and What to Expect in 2021)

    In this 2020 wrap-up, we polled our in-house experts, drawing together their tips and insights for the end of the year and for what's to come in 2021.

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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 brand new guide, you’ll discover the key business benefits of switching to a data science platform, whether to buy or build your own, and top tips for calculating your TCO.

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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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  • Part One - Making Sense of Data: Auditing, Discovery, and Acquisition

    Part One - Making Sense of Data: Auditing, Discovery, and Acquisition

    Do you have enough data to get the insights you need? And if not, how can you fill the gaps? In part one of this series, we dive deep into auditing, discovery, and acquisition.

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  • Part Two - Making Sense of Data Prep: ETL, Wrangling, and Data Enrichment

    Part Two - Making Sense of Data Prep: ETL, Wrangling, and Data Enrichment

    In part two of our series, we cover ETL, data wrangling, and data enrichment so you can ensure your data is ready to give you the insights you need.

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  • Part Three - Making Sense of Deployment: Feature Engineering, Training, Testing, and Monitoring

    Part Three - Making Sense of Deployment: Feature Engineering, Training, Testing, and Monitoring

    Part three of our series gets technical with an in-depth look at the best ways to split your data for training, different testing methodologies, feature engineering, and monitoring.

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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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  • Making Alternative Credit Scores the Norm: How to Create a New Scoring Model

    Making Alternative Credit Scores the Norm: How to Create a New Scoring Model

    The current credit scoring model is outdated and in need of an upgrade. Read how to go about building a smarter, more accurate credit scoring model - and the data you need to do so.

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  • Taking Control of Your Data: An Essential Guide for Marketers

    Taking Control of Your Data: An Essential Guide for Marketers

    How can marketers leverage all their data for better predictive insights? It’s all about knowing what you need, how it can help, and the right platforms and tools that can help achieve your goals.

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  • Where's the Weakest Link? Understanding Risk in Supply Networks

    Where's the Weakest Link? Understanding Risk in Supply Networks

    In our interconnected, globalized world, it’s harder and harder to track the weak spots in your supply chain. That’s why we created this handy guide to understanding and mitigating supply chain risk.

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  • AI is Making BI Obsolete, and Machine Learning is Leading the Way

    AI is Making BI Obsolete, and Machine Learning is Leading the Way

    Why are we still hung up on BI? It’s time to embrace a paradigm that empowers us to make smarter, better predictions using real data with machine learning.

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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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  • 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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