FineReport

FEBRUARY 5, 2020

Overall, as users’ data sources become more extensive, their preferences for BI are changing. They prefer self-service development, interactive dashboards, and self-service data exploration. To put it bluntly, users increasingly want to do their own data analysis without having to find support from the IT department.

Metadata 98

Metadata Dashboards Informatics Visualization 98

CIO Business Intelligence

JUNE 14, 2023

Admittedly, it’s still pretty difficult to visualize this difference. Additionally, it is vital to be able to execute computing operations on the 1000+ PB within a multi-parallel processing distributed system, considering that the data remains dynamic, constantly undergoing updates, deletions, movements, and growth.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

AUGUST 16, 2021

CDF-PC enables Apache NiFi users to run their existing data flows on a managed, auto-scaling platform with a streamlined way to deploy NiFi data flows and a central monitoring dashboard making it easier than ever before to operate NiFi data flows at scale in the public cloud. and later).

Dashboards 116

Dashboards Metrics KPI Data-driven 116

Sisense

AUGUST 21, 2020

One result is that systems become much more intuitive: Users can take advantage of the “Simply Ask” feature to check “what are my sales next two months” and receive chatbot messages with projected visualizations and suggestions for further exploration routes. Trend 2: Decline of the dashboard. It’s visual, it’s spoken, it’s audible.

Analytics 112

Analytics Machine Learning Dashboards Visualization 112

Ontotext

FEBRUARY 26, 2024

Further, RED’s underlying model can be visually extended and customized to complex extraction and classification tasks. RED’s focus on news content serves a pivotal function: identifying, extracting, and structuring data on events, parties involved, and subsequent impacts. Here’s how our tool makes it work.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Domino Data Lab

JANUARY 21, 2021

While these tools are extremely useful for creating polished, reusable, visual dashboards for presenting data-driven insights, they are far less flexible in their ability to produce the information required to form the basis of a predictive modeling task. Data visualization blog posts are a dime a dozen.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

erwin

JUNE 27, 2019

Additional challenges, such as increasing regulatory pressures – from the General Data Protection Regulation (GDPR) to the Health Insurance Privacy and Portability Act (HIPPA) – and growing stores of unstructured data also underscore the increasing importance of a data modeling tool.

Measurement 81

Measurement Modeling Unstructured Data Metadata 81

Cloudera

SEPTEMBER 6, 2018

It supports a variety of storage engines that can handle raw files, structured data (tables), and unstructured data. It also supports a number of frameworks that can process data in parallel, in batch or in streams, in a variety of languages. Entity Resolution and Data Enrichment. riskCanvas. Entity Risk Scoring.

Machine Learning 40

Machine Learning Risk Big Data Unstructured Data 40

Cloudera

APRIL 1, 2024

We scored the highest in hybrid, intercloud, and multi-cloud capabilities because we are the only vendor in the market with a true hybrid data platform that can run on any cloud including private cloud to deliver a seamless, unified experience for all data, wherever it lies.

Unstructured Data 100

Unstructured Data Cost-Benefit Metadata Machine Learning 100