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

CIO Business Intelligence

JUNE 28, 2022

And then there is the rise of privacy concerns around so much data being collected in the first place. Following are some of the dark secrets that make data management such a challenge for so many enterprises. Unstructured data is difficult to analyze. Even structured data is often unstructured.

Management 138

Management Internet of Things Statistics Data-driven 138

Timo Elliott

JANUARY 22, 2019

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.

Analytics 96

Analytics Machine Learning Unstructured Data Business Intelligence 96

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

FineReport

JUNE 24, 2021

Originally, Excel has always been the “solution” for various reporting and data needs. However, along with the diffusion of digital technology, the amount of data is getting larger and larger, and data collection and cleaning work have become more and more time-consuming. Data preparation and data processing.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

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

IBM Big Data Hub

AUGUST 28, 2023

Information retrieval The first step in the text-mining workflow is information retrieval, which requires data scientists to gather relevant textual data from various sources (e.g., The data collection process should be tailored to the specific objectives of the analysis. positive, negative or neutral).

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

FineReport

MARCH 7, 2024

However, due to regulatory controls on sensitive data like phone numbers and technical challenges in cross-platform integration of Internet and mobile reporting data, our current matching rates are relatively low, reaching around 20% in ideal scenarios, excluding telecom data. Firstly, we establish a list of filtering criteria.

Dashboards 52

Dashboards Reporting Advertising Statistics 52

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52