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Top 10 Analytics And Business Intelligence Trends For 2020

datapine

The development of business intelligence to analyze and extract value from the countless sources of data that we gather at a high scale, brought alongside a bunch of errors and low-quality reports: the disparity of data sources and data types added some more complexity to the data integration process. 3) Artificial Intelligence.

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Automated Sales Forecasting with Predictive Analytics Making AI Real (Part 4)

Jedox

In today’s organizations, the role of financial controlling or FP&A is not only to provide financial insights so business partners can make better decisions, but it is also to lead the way towards a more mature use of analytics technology including predictive analytics for sales forecasting. Making AI Real (Part 2).

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Reflections on the Data Science Platform Market

Domino Data Lab

Before we get too far into 2019, I wanted to take a brief moment to reflect on some of the changes we’ve seen in the market. In 2018 we saw the “data science platform” market rapidly crystallize into three distinct product segments. They have a forthcoming report on automation-focused platforms this year. Reflections.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

Descriptive analytics uses historical and current data to describe the organization’s present state by identifying trends and patterns. Predictive analytics: What is likely to happen in the future? Prescriptive analytics: What do we need to do? This is the purview of BI.

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7 famous analytics and AI disasters

CIO Business Intelligence

Organizations across every industry have been and continue to invest heavily in data and analytics. But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year.

Analytics 141
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Think Like a Data Scientist: The Importance of Building a Data-Driven Company Culture

Cloudera

Trounce the competition Data and predictive analytical tools are widespread and easily accessible: do you know how your competitors are using them? As early as in a 2018 McKinsey report on the importance of data culture, industry leaders outlined the importance of identifying “data translators” within an organization.

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18 Examples Of Big Data Analytics In Healthcare That Can Save People

datapine

With today’s always-improving technologies, it becomes easier not only to collect such data but also to create comprehensive healthcare reports and convert them into relevant critical insights, that can then be used to provide better care. Then, for example, researchers could access patient biopsy reports from other institutions.

Big Data 364