CIO Business Intelligence

MARCH 21, 2022

What is a data scientist? Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. Data scientist salary. Semi-structured data falls between the two.

Unstructured Data 132

Unstructured Data Data Analytics Analytics Structured Data 132

FineReport

FEBRUARY 5, 2020

Based on the study of the evaluation criteria of Gartner Magic Quadrant for analytics and Business Intelligence Platforms, I have summarized top 10 key features of BI tools for your reference. Overall, as users’ data sources become more extensive, their preferences for BI are changing. Analytics dashboards.

Metadata 98

Metadata Dashboards Informatics Visualization 98

Sisense

JULY 23, 2021

All of this data is integral to learning and knowledge management.“While While data and analytics are nothing new to the Olympics — they’ve been used in some form or another for many, many years — what is new is the importance of using data to manage the evolving changing models for delivery of the Games,” Chris says. >>>Infused

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Timo Elliott

JANUARY 22, 2019

2019 is the year that analytics technology starts delivering what users have been dreaming about for over forty years — easy, natural access to reliable business information. We’ve reached the third great wave of analytics, after semantic-layer business intelligence platforms in the 90s and data discovery in the 2000s.

Analytics 96

Analytics Machine Learning Unstructured Data Digital Transformation 96

Smart Data Collective

APRIL 8, 2020

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.

Technology 135

Technology Data Warehouse Big Data Machine Learning 135

Ontotext

MAY 18, 2020

ExaMode, an acronym for Extreme-scale Analytics via Multimodal Ontology Discovery & Enhancement, is a project funded by the European Union, H2020 programme. Behind the scenes of linking histopathology data and building a knowledge graph out of it. There are four types of data sources that the team will work with.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

BizAcuity

MARCH 1, 2019

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.

IoT 56

IoT Internet of Things Big Data Data-driven 56