Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Data Pine

MARCH 31, 2022

For example, if you’re passionate about healthcare reform, you can work as a BI professional who specializes in using data and online BI tools to make hospitals run more smoothly and effectively thanks to healthcare analytics. A data scientist has a similar role as the BI analyst, however, they do different things.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

GAVS Technology

JANUARY 7, 2021

HIE enables electronical movement of clinical information among different healthcare information systems. The goal is to facilitate access to and retrieval of clinical data to provide safer and more timely, efficient, effective, and equitable patient-centered care. This brings us to the important discussion of HIE data models.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. As a result, finance, logistics, healthcare, entertainment media, casino and ecommerce industries witness the most AI implementation and development. These industries accumulate ridiculous amounts of data on a daily basis.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Data Pine

MARCH 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. Business Intelligence And Analytics Examples.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Procurement 105

Data Pine

DECEMBER 28, 2021

Now that we’ve put the misuse of statistics in context, let’s look at various digital age examples of statistics that are misleading across five distinct, but related, spectrums: media and politics, news, advertising, science, and healthcare. 2) Examples of misleading statistics in healthcare. 3) Data fishing.

Digital 145

Digital Healthcare Data Visualization Data Mining 145