Category: Data

  • You Ask, I Answer: Analytics Reports Tools?

    Julie asks, “How do you put your analytics reports together? Excel, powerpoint, or something else?” As with any questions about tools, the answer is contingent on many factors. – What does the person have? Excel and Powerpoint are nearly ubiquitous, as is a web browser – What has the customer asked for? – What are…

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  • You Ask, I Answer: Email Marketing Tools in 2019

    Roger asks, “If you could only use 3 marketing tools for your email list in marketing campaigns which 3 would you choose?” There’s an easy answer and an answer which will give you a competitive advantage. The easy answer is a solid martech stack – comprehensive web analytics, great marketing automation (which includes email), and…

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  • You Ask, I Answer: How Can Marketers Fix Dirty Data?

    Gini asks, “OK! I have questions! Let’s assume the data is a mess or “dirty”, how can a communicator or marketer figure out what’s missing, where the holes are, or why something isn’t working?” This is a process known as exploratory data analysis (EDA), and it’s a formal discipline within data science. Learn what EDA…

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  • You Ask, I Answer: Marketing Top Data Challenges of the Future

    Aditya asks, “What do you see as the top data challenges facing marketers in the next couple of years?” While it’s difficult to accurately predict anything today, given the rate of technological change, there’s one sea change already underway that marketers are failing at, and will only get worse. Watch the video to learn what…

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  • You Ask, I Answer: How To Make Use of Historical Data and Analytics

    Jim asks, “My organization has years of data stored up. What can we do with it?” Fundamentally, you can take two approaches to your data – making it work for your organization, and then making it work for other organizations. Learn these two approaches and the hierarchy of analytics in this video. Can’t see anything?…

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  • Fun Fact Friday: Feature Engineering

    In this episode, we talk about feature engineering and text, especially social media content. Social media text is often accompanied by very little data, so what can we do to enhance and expand it? That’s feature engineering. Watch the video for details about what kinds of features we can add to social media content to…

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  • Fun Fact Friday: Just How Much Data Is A Zettabyte?

    One of the starting points for my keynote speech on artificial intelligence is that, as a civilization, humanity will create approximately 30 zettabytes of data in 2018 according to IDC. But just how much is a zettabyte? Watch this video to learn what a zettabyte is in Netflix terms, plus other stunning Internet usage facts.…

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  • You Ask, I Answer: How to Choose a Data Science Course

    Sherry asks, “What sets apart a good data science course? What should I look for in the curriculum?” Great question, and an important one in today’s world when companies are offering “crash courses” and “become a data scientist in X weeks”. Would you feel comfortable going to someone who did the “crash course in surgery”…

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  • Win With AI: IBM Cloud Private for Data & Watson Studio

    The IBM Win With AI Summit was a powerful event for IBM Business Partners and AI practitioners. Watch the video to learn what’s new with IBM Watson Studio and the all-new IBM Cloud Private for Data. If you’ve ever wanted one view of your customer or data management with strong governance built in, you’ll want…

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  • #WinWithAI: How To Leverage The Value of Data

    Melissa asks, “How can companies leverage data — their most valuable asset — as a competitive advantage?” As part of the IBM #WinWithAI Summit, this is a critical question. What are the uses of data? Data as the end product, for analytics and insights Data as the source for training machine learning models Data as…

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