Remove Customer Experience Remove Data Visualization Remove Government Remove KPI
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What Can You Expect From Today’s Customer Analytics Landscape?

Indicative

Experts predict the Customer Analytics market will top $24 billion by 2025. That growth is driven by a common difficulty facing many of today’s businesses—mountains of data and no way for non-technical people to make sense of it. That’s where Customer Analytics comes in. Who are my best customers?

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How AI is Lowering the Barrier to Entry for BI and Analytics

Birst BI

According to Gartner, more than 3,000 CIOs ranked Business Intelligence (BI) and Analytics as the top differentiating technology for their organizations. If BI and Analytics is such a game-changer, then why is the average adoption rate in organizations only 32%? On Jan 29, Birst will introduce Smart Analytics powered by Coleman AI.

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How to get product and analytics teams at large companies working together in lockstep

Mixpanel

This experience reminded me a lot of my work as an analytics leader at AT&T. Hear me out: In my role, I’m tasked with working stride-for-stride with the product teams across our large company to arm them with the data insights needed to improve their products. What does data democratization look like?

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How to get product and analytics teams at large companies working together in lock-step

Mixpanel

This experience reminded me a lot of my work as an analytics leader at AT&T. Hear me out: In my role, I’m tasked with working stride-for-stride with the product teams across our large company to arm them with the data insights needed to improve their products. What does data democratization look like?

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What AI Means to a Data Scientist

Birst BI

How many times have you wished for more hours in the day so you can complete more tasks? A key goal of AI or machine learning automation is to have machines complete tasks for you, freeing up time so you can focus on the more complex, higher-value tasks. The Outsourcing of Data Science Functions. Source: Gartner (April 2018).

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Data-Science Observability For Executives

The Product Coalition

Why does management need to observe data-science-related KPIs? Observability for data-science (DS) is a new and emerging field, which is sometimes mentioned in tandem with MLOps or AIOps. New offerings are being developed by young startups to address the lack of monitoring and alerts for everything data-science.

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How to get product and analytics teams at large companies working together in lockstep

Mixpanel

This experience reminded me a lot of my work as an analytics leader at AT&T. Hear me out: In my role, I’m tasked with working stride-for-stride with the product teams across our large company to arm them with the data insights needed to improve their products. What does data democratization look like?