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Three Emerging Analytics Products Derived from Value-driven Data Innovation and Insights Discovery in the Enterprise

Rocket-Powered Data Science

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

Big data technology used to be a luxury for small business owners. It helps companies operate more efficiently, tap larger markets of customers, and solve some of their most complex challenges. In 2023, big data Is no longer a luxury. However, there are even more important benefits of using big data during a bad economy.

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Uncertainties: Statistical, Representational, Interventional

The Unofficial Google Data Science Blog

by AMIR NAJMI & MUKUND SUNDARARAJAN Data science is about decision making under uncertainty. Some of that uncertainty is the result of statistical inference, i.e., using a finite sample of observations for estimation. But there are other kinds of uncertainty, at least as important, that are not statistical in nature.

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Businesses Discover the Importance of Merging Analytics and Content Marketing

Smart Data Collective

Data is the backbone of effective digital marketing, and content is not just king; it is the entire royal family. When you combine both, you get one of the most formidable and effective marketing strategies ever. Below, we highlight how qualitative and quantitative data can improve our marketing strategy.

Marketing 131
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The New GTM Playbook: 18 Ways to Future-Proof Your Sales Team

Economic uncertainty. Go-to-market teams of every size, in every industry, are grappling with these challenges firsthand. We’ve developed an entirely new way for GTM leaders to identify and execute proven, data-driven strategies that drive revenue. Increasingly discerning buyers. More meetings. Intensifying competition.

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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Third, any commitment to a disruptive technology (including data-intensive and AI implementations) must start with a business strategy. Those F’s are: Fragility, Friction, and FUD (Fear, Uncertainty, Doubt). These changes may include requirements drift, data drift, model drift, or concept drift.

Strategy 289
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Why Construction Businesses Should Track KPIs to Conquer Economic Uncertainty

Jet Global

However, the construction industry includes a plethora of non-financial data points to track – are projects being delivered on time? How deeply will projects be impacted by market instability, skills shortages, and supply chain delays? Globally, construction is projected to grow substantially. trillion worldwide by 2030.