Astera

APRIL 28, 2023

With the ever-increasing volume of data generated and collected by companies, manual data management practices are no longer effective. This is where intelligent systems come in. They can improve their performance and optimize their behavior over time through machine learning and other techniques.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

The BAWorld

NOVEMBER 22, 2021

Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data Cleaning. Data Modeling. Conceptual Data Model (CDM) : Independent of any solution or technology, represents how the business perceives its information. . Uniqueness.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Marutitech

DECEMBER 17, 2021

Manual forecasting of data requires hours of labor work with highly professional analysts to draw out accurate outputs. That’s why LSTM RNN is the preferable algorithm for predictive models like time-series or data like audio, video, etc. Most Popular Predictive Analytics Techniques .

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Marutitech

OCTOBER 8, 2021

You can creatively use advanced artificial intelligence and machine learning tools for doing research and draw out the analysis. If your business requires the polarity precisions, then you can classify your polarity categories into the following parts: Very positive . Very Negative . Emotion Detection.

Monitoring 98

Monitoring Documentation Logistics Customer Experience 98

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

SEPTEMBER 20, 2023

Data Extraction Once you have your data sources in mind, you’ll need to devise an efficient data extraction plan to pull data from each source. Modern organizations use advanced data extraction tools to access and retrieve relevant information. They are also referred to as data integration strategies or methods.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52

Astera

SEPTEMBER 20, 2023

Data Extraction Once you have your data sources in mind, you’ll need to devise an efficient data extraction plan to pull data from each source. Modern organizations use advanced data extraction tools to access and retrieve relevant information. They are also referred to as data integration strategies or methods.

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52