Data and analytics leaders
Resources for data science-driven data and analytics leaders.
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Read nowOptimize 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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Read the blogBias 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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Read the blogThe “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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Read the blogA 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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Read the blogBest 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
This solution insight gives you a complete overview of augmented data discovery using the Explorium data science platform.
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46:39Watch videoWebinar: 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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Read the blogHow 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
Learn how Explorium fits into every part of the data workflow for machine learning for streamlined data discovery and enrichment.
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Read nowThe 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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Read the blog4 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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Read nowBuilding 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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Read the blogHow 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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Read the blogWhat 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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Read nowStart 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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Read the blogTurning 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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Read the blogHow 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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Read nowHow 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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Read the blogReframing 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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Read the blogAsking 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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