FineReport

JUNE 24, 2021

Data is the key to gaining great insights for most businesses, but it is also one of the biggest obstacles. Originally, Excel has always been the “solution” for various reporting and data needs. All BI software capabilities, functionalities, and features focus on data. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Companies and businesses focus a lot on data collection in order to make sure they can get valuable insights out of it.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time.

Data Governance 142

Data Governance Management Metadata Data Quality 142

erwin

APRIL 18, 2019

Information sold to or by consumer reporting agencies. Under the GDPR, organizations must make any personal data collected from an EU citizen available upon request. CCPA compliance only requires data collected within the last 12 months to be shared upon request. What about access requests? .

Data Governance 81

Data Governance Metadata Data-driven Data Collection 81

Rocket-Powered Data Science

JULY 7, 2019

Such approaches can enable more accurate and faster modeling and analysis of the characteristics and behaviors of a system and can exploit data in intelligent ways to convert them to new capabilities, including decision support systems with the accuracy of full scale modeling, efficient data collection, management, and data mining.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

O'Reilly on Data

DECEMBER 19, 2018

Given the rate at which data is created, data collection has to be automated. How do you do that without dropping data? Given that the results produced by any model will reflect the data used to create the model, how do you ensure your data collection process is fair, representative, and unbiased?

Machine Learning 258

Machine Learning Software Metadata Testing 258

FineReport

FEBRUARY 5, 2020

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.

Metadata 98

Metadata Dashboards Informatics Visualization 98

FineReport

JULY 18, 2022

FineReport is a business intelligence reporting and dashboard software that helps enterprises transform data into value. Key features: It supports connecting to almost all mainstream data sources so that you can analyze data from different sources in just one single report or dashboard. RapidMiner. From RapidMiner.

Forecasting 52

Forecasting Dashboards Visualization Statistics 52

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. Query the data using Athena Athena is a serverless, interactive analytics service built to analyze unstructured, semi-structured, and structured data where it is hosted.

Analytics 97

Analytics IoT Metadata Internet of Things 97

Sisense

JULY 23, 2021

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

Ontotext

MAY 18, 2020

Behind the scenes of linking histopathology data and building a knowledge graph out of it. Together with the other partners, Ontotext will be leveraging text analysis in order to extract structured data from medical records and from annotated images related to histopathology information.

Knowledge Discovery 72

Knowledge Discovery Experimentation Data-driven Metadata 72

Cloudera

JANUARY 11, 2018

. “When decision makers can only see fragments of customer data at a time, it limits their understanding of both individual customers and larger trends across populations of customers and prospects. These companies were able to receive notable benefits from their data collection and aggregation efforts.

Strategy 40

Strategy Data Warehouse Cost-Benefit Marketing 40

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

Domino Data Lab

MARCH 3, 2019

This month, the theme is not specifically about conference summaries; rather, it’s about a set of follow-up surveys from Strata Data attendees. We had big surprises at several turns and have subsequently published a series of reports. Let’s look through some of the insights gained from those reports.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Peter James Thomas

AUGUST 29, 2018

I know that ING consists of many operating areas and has adopted a federated structure with respect to data matters. It depends on the company culture and structure and it needs to fit with the stated objectives of the role as designed. Helping organisations become “data-centric” is a key part of what you do.

Data-driven 61

Data-driven Cost-Benefit Metadata Technology 61