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Top 10 Key Features of BI Tools inĀ 2020

FineReport

Some people pay attention to functions and interaction effects, such as data collection, image and video collection, positioning, linkage and drilling on the mobile devices. However, please pay more attention to the security of mobile terminals, and mobile BI must ensure the security of corporate data.

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The Data Behind Tokyo 2020: The Evolution of the Olympic Games

Sisense

From an operational data analytics perspective, I would describe Tokyo 2020 as a coming of age Games,ā€ he says. Data will create a better-connected future. We want to serve these different needs as effectively as possible.ā€. Chrisā€™ passion around this is evident. Iā€™m really quite excited about what can be achieved.ā€.

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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

A data analyst might help an organization better understand how its customers use its product in the present moment, whereas a data scientist might use insights generated from that data analysis to help design a new product that anticipates future customer needs. Data scientist salary.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

sThe recent years have seen a tremendous surge in data generation levels , characterized by the dramatic digital transformation occurring in myriad enterprises across the industrial landscape. The amount of data being generated globally is increasing at rapid rates.

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Top 10 Analytics Trends for 2019

Timo Elliott

Compliance drives true data platform adoption, supported by more flexible data management. As it has been for the last forty years, data collection, preparation, and standardization remain the most challenging aspects of analytics. Traditional analytics focused on structured data flowing from operational systems.

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On the Hunt for Patterns: from Hippocrates to Supercomputers

Ontotext

It aims to solve the challenges that healthcare faces as a result of the heterogeneity and the volume of biomedical data (more than 2ā€™000 exabytes of biomedical data are expected to be produced by 2020). Behind the scenes of linking histopathology data and building a knowledge graph out of it.

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Using Artificial Intelligence to Make Sense of IoT Data

BizAcuity

Data is only useful when it is actionable for which it needs to be supplemented with context and creativity. Traditional methods of analyzing structured data are not designed to efficiently process these large amounts of real-time data that is collected from IoT devices. and constantly report this data to backend.

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