Astera

OCTOBER 23, 2024

Healthcare data is set to soar, with projections showing that it will grow from 2,300 exabytes in 2020 to an impressive 10,800 exabytes by 2025. To put that in perspective, that’s like having enough data to fill over 2.5 Tasks that consume hours—like data entry and document sorting—can be completed in seconds.

Healthcare 52

Healthcare Documentation Digital Data Automation 52

Astera

APRIL 3, 2023

Data entry in healthcare is extremely common for one major reason: the number of documents – patient information, medical records, insurance forms, billing forms, lab reports, prescriptions, consent forms, medical charts, and that’s just the beginning. For the same reason, it is also vital that data is entered in a timely manner.

Healthcare 52

Healthcare Documentation Data Quality Planning 52

Data Pine

DECEMBER 11, 2019

Since it is often easy to lose track of what really matters when so many KPIs have to be monitored, an online reporting tool will safely keep an eye on your data and anticipate any fluctuation and change – and alert you when it veers off course. How will AI improve SaaS in 2020?

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Marutitech

DECEMBER 17, 2021

This process is beneficial when you have large data sets and wish to implement personalized plans. . For instance, a predictive model for the healthcare sector consists of patients divided into three clusters by the predictive algorithm. Monitor models and measure the business results.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

MAY 6, 2024

Whether it’s choosing the right marketing strategy, pricing a product, or managing supply chains, data mining impacts businesses in various ways: Finance : Banks use predictive models to assess credit risk, detect fraudulent transactions, and optimize investment portfolios. Can handle large volumes of data.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

SEPTEMBER 28, 2023

Full Extraction This extracts all data from the source system in one go. For example, a full extraction would mean pulling all customer records if you’re extracting data from your customer database. You can use this method when y ou need to keep stakeholders informed about updates or events related to a data set.

Data Warehouse 52

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