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Analytics Insights and Careers at the Speed of Data

Rocket-Powered Data Science

One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT). This article quotes an older market projection (from 2019) , which estimated “the global industrial IoT market could reach $14.2

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Predictive Analytics on Small Data

Smarten

A vast amount of data, classified and grouped, running analytics to predict what will be the next event that one or more elements of the group will take. Predictive analytics like this allows pushing of right products to e-commerce shoppers. So no new approaches here. That sounds outrageously simple, and it is.

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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. Kaiser Permanente streamlines operations.

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Seven Steps to Success for Predictive Analytics in Financial Services

Birst BI

Remember when you began your career and the prospect of retirement was an event in the distant future? An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Business users will also perform data analytics within business intelligence (BI) platforms for insight into current market conditions or probable decision-making outcomes. Many functions of data analytics—such as making predictions—are built on machine learning algorithms and models that are developed by data scientists.

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The Power of Graph Databases, Linked Data, and Graph Algorithms

Rocket-Powered Data Science

Entities are the nodes in the graph — these can be people, events, objects, concepts, or places. Consider this marketing attribution use case: person A sees the marketing campaign, person A talks about it on their social media account, person B is connected to person A and sees the comment, and subsequently person B buys the product.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Digital marketing and services firm Clearlink uses a DSS system to help its managers pinpoint which agents need extra help. These models are used to establish relationships between events and factors related to that event. Analytics, Data Science ERP dashboards. These systems help managers monitor performance indicators.