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

This can be achieved by utilizing dense storage nodes and implementing fault tolerance and resiliency measures for managing such a large amount of data. How is it possible to manage the data lifecycle, especially for extremely large volumes of unstructured data? Evaluate data across the full lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Cloudera

NOVEMBER 25, 2020

Sample and treatment history data is mostly structured, using analytics engines that use well-known, standard SQL. Interview notes, patient information, and treatment history is a mixed set of semi-structured and unstructured data, often only accessed using proprietary, or less known, techniques and languages.

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Ontotext

FEBRUARY 26, 2024

Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. It compares actual price changes to expected changes based on historical data. Then it presents customizable insights through an interactive dashboard for thorough analysis.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Sisense

FEBRUARY 19, 2020

They will apply a range of methods and solutions in order to drive the greatest impact, with data at the center of their evolution. The best indicator is not the volume of data or the number of dashboards created. Instead, real success is best measured by the adoption of analytics across the organization.

Analytics 83

Analytics Digital Transformation Data-driven Measurement 83

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. The audience of these few reports was limited—a maximum of 20 people from management.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Sisense

FEBRUARY 19, 2020

They will apply a range of methods and solutions in order to drive the greatest impact, with data at the center of their evolution. The best indicator is not the volume of data or the number of dashboards created. Instead, real success is best measured by the adoption of analytics across the organization.

Analytics 52

Analytics Digital Transformation Data-driven Measurement 52

datapine

JUNE 9, 2022

1) What Is A Monitoring Dashboard? 2) Why Do You Need Monitoring Dashboards? 3) Tips For Monitoring Dashboard Design. 4) Monitoring Dashboard Templates. Data monitoring has been changing the business landscape for years now. Enter monitoring dashboards. What Is A Monitoring Dashboard?

Dashboards 143

Dashboards Metrics Visualization Sales 143

datapine

FEBRUARY 22, 2022

This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Businesses deal with massive amounts of data from their users that can be sensitive and needs to be protected. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218