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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

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Top 10 Analytics And Business Intelligence Buzzwords For 2020

datapine

Predictive & Prescriptive Analytics. Predictive Analytics: What could happen? We mentioned predictive analytics in our business intelligence trends article and we will stress it here as well since we find it extremely important for 2020. The commercial use of predictive analytics is a relatively new thing.

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Biggest Trends in Data Visualization Taking Shape in 2022

Smart Data Collective

As we have already said, the challenge for companies is to extract value from data, and to do so it is necessary to have the best visualization tools. Over time, it is true that artificial intelligence and deep learning models will be help process these massive amounts of data (in fact, this is already being done in some fields).

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Straumann Group is transforming dentistry with data, AI

CIO Business Intelligence

Hence the drive to provide ML as a service to the Data & Tech team’s internal customers. All they would have to do is just build their model and run with it,” he says. For that, he relied on a defensive and offensive metaphor for his data strategy. For now, it operates under a centralized “hub and spokes” model.

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Create an end-to-end data strategy for Customer 360 on AWS

AWS Big Data

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data.

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Turn Data Into Business Intelligence With a Modern Data Platform

CDW Research Hub

They also aren’t built to integrate new technologies such as artificial intelligence and deep learning tools, which can move business to continuous intelligence and from predictive to prescriptive analytics. Another critical step is to create a framework to integrate your data. Easy Access with a Secure Foundation.

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises. Start a trial.