Articles – Data

Proven strategies and tactics to help you stay current.

Designing AI Models to Extract Insights

AI implementations often fail to achieve their intended results because of poor model design. This white paper dives deep into the “design to predict” phase of Harish Krishnamurthy’s framework for securing ROI from AI projects.

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Recent Articles

The Team You Need to Build Ethical AI 

my recent research has centered on the types of professionals who should be on the data team. In this article, I want to share all the roles needed to ensure long-term success for AI and emerging technologies. 

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Top 7 Trends Shaping Data in 2022

Predicting data trends is risky because there is always a chance the future will look vastly different than what we imagine. However, during a recent podcast episode, Claravine CEO Verl Allen and Data Chats Host Chris Richardson discussed some of the trends that could shape data in the coming year. 

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4 Strategies to Improve Data Quality

Why are companies failing to improve their data quality? It’s almost easier to live with the problem than to make the necessary changes. Simply put: The opportunity is the data; the challenge is the data. 

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Dark Data

Finding Answers in Dark Data

Who’s afraid of the dark? Whilst the dark web may have frightening connotations, dark data isn’t nefarious in any way. It’s actually best described using an iceberg analogy.  See, of the masses of data we create, it is estimated that we only actually use around 1% of it. The vast majority of data is unstructured, collected by businesses but then left sitting untouched below the surface. Of course, your gears may already be spinning; if we’re only using 1% of the data, what would happen if we were to use 2%, 10% or 50%? 

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Predictive Analytics

Using Predictive Analytics to Sell Smarter

From a business standpoint, predictive analytics refers to taking aggregated data about a product (or products) and using this data to create new or better solutions. Predictive analytics can also be used to identify risks and opportunities.

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Using AI to Maximize Customer Lifetime Value

80% of your company’s future revenue will come from just 20% of your existing customers. How can you get actionable insights across the customer life cycle to deliver value to your customer and your business? Harish Krishnamurthy explains how in his latest white paper for Pragmatic Data.

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