Data Analytics, Data Warehouse and Healthcare

The Benefits of Using a Data Warehouse for Healthcare Data Management

Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

Data Warehouse

Data Warehouse Healthcare Data Management Data Quality

Data Science vs Data Analytics: Key Differences

Astera

MAY 31, 2024

Data Science vs. Data Analytics Organizations increasingly use data to gain a competitive edge. Two key disciplines have emerged at the forefront of this approach: data science vs data analytics. In contrast, data science enables you to create data-driven algorithms to forecast future outcomes.

Data Analytics

Data Analytics Data Analytics Data Warehouse Healthcare

How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

APRIL 8, 2020

Dating back to the 1970s, the data warehousing market emerged when computer scientist Bill Inmon first coined the term ‘data warehouse’. Created as on-premise servers, the early data warehouses were built to perform on just a gigabyte scale. The post How Will The Cloud Impact Data Warehousing Technologies?

Data Warehouse

Data Warehouse Big Data Business Intelligence Business Intelligence

What is Data Analytics?

The BAWorld

OCTOBER 8, 2020

This article is going to describe the concepts of data analytics to answer the question – What is Data Analytics? You can read more articles by clicking on the Data Science/Analytics. What is Data Analytics? Uses and Examples of Data Analytics.

Data Analytics

Data Analytics Data Analytics Retail Data Warehouse

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and…

Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence

Business Intelligence Business Intelligence Supply Chain Data Mining

Snowflake ETL Tools: Top 7 Options to Consider in 2024

Astera

MARCH 11, 2024

It eliminates the need for complex infrastructure management, resulting in streamlined operations. According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. What are Snowflake ETL Tools? Snowflake ETL tools are not a specific category of ETL tools.

Data Warehouse

Data Warehouse Documentation Monitoring Data Quality

The Future of AI in Data Warehousing: Trends and Predictions

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce

E-Commerce Supply Chain Artificial Intelligence Data Warehouse

What is ETL? – Extract, Transform, Load Explained

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse

Data Warehouse Data Quality Real-time Data E-Commerce

Data Profiling: Types, Techniques and Best Practices

Astera

NOVEMBER 27, 2023

It’s a method used to diagnose the data’s health by thoroughly examining its structure, content, and relationships. It ensures that the data is accurate, consistent, and unique before it’s used for ETL and data analytics. It can also highlight patterns, rules, and trends within the data.

Data Mining

Data Mining Data Quality Data Governance Business Intelligence

Incredible Data Statistics, Facts, and Trends (Updated for 2022)

Astera

OCTOBER 20, 2022

Here are some data statistics to put things into perspective: The total enterprise data volume is expected to reach 02 petabytes by the end of 2022 , which represents a 42.2 Organizations are projected to spend 212 billion US dollars on data center systems in 2022. [ii]. Industry-Specific Data Statistics.

Cloud Computing

Cloud Computing Healthcare Big Data Data Management

Best Data Mining Tools in 2024

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. These tools enhance financial stability and customer satisfaction.

Data Mining

Data Mining Supply Chain Data Quality Visualization

Actian 2020 Predictions: 4 Data Trends for Analytics

Actian

DECEMBER 18, 2019

These are extremely data-intensive use cases that are also reliant on data from new sources like SaaS apps, and via myriad integrations in the cloud. Hybrid (a combined cloud and on-premises approach) will be a part of the analytics roadmap for many enterprises in 2020 and beyond.

Data Warehouse

Data Warehouse Customer Experience Customer Experience Innovation

PostgreSQL Vs. Oracle: What’s the Difference?

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation

Documentation Cloud Computing Data Security Data Warehouse

PostgreSQL Vs. Oracle: What’s the Difference?

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation

Documentation Cloud Computing Data Security Data Warehouse

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Pine

MARCH 31, 2022

With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. This could involve anything from learning SQL to buying some textbooks on data warehouses. Business Intelligence Job Roles.

Business Intelligence

Business Intelligence Business Intelligence Data Visualization Visualization

Data Discovery: From Finance to Healthcare

Insight Software

JULY 6, 2022

Data discovery, also known as data analysis for business users, is one of the top business intelligence trends for 2022. Let’s take a look at how industries like yours are making use of data analytics tools to find patterns and derive insights from data. Compliance: Standards are a constant and global.

Data Discovery

Data Discovery Finance Healthcare IBM Expert

What is a Data Pipeline?

Insight Software

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.

IBM Maintenance

IBM Maintenance Data Warehouse IBM Support Real-time Data

What Is Embedded Analytics?

Insight Software

MAY 1, 2023

By Industry Businesses from many industries use embedded analytics to make sense of their data. In a recent study by Mordor Intelligence , financial services, IT/telecom, and healthcare were tagged as leading industries in the use of embedded analytics. Healthcare is forecasted for significant growth in the near future.

Embedded Analytics

Embedded Analytics IBM Support IBM Maintenance IBM cost

Business Analysis Digest

The Benefits of Using a Data Warehouse for Healthcare Data Management

Data Science vs Data Analytics: Key Differences

Trending Sources

How Will The Cloud Impact Data Warehousing Technologies?

What is Data Analytics?

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and…

Snowflake ETL Tools: Top 7 Options to Consider in 2024

The Future of AI in Data Warehousing: Trends and Predictions

What is ETL? – Extract, Transform, Load Explained

Data Profiling: Types, Techniques and Best Practices

Incredible Data Statistics, Facts, and Trends (Updated for 2022)

Best Data Mining Tools in 2024

Actian 2020 Predictions: 4 Data Trends for Analytics

PostgreSQL Vs. Oracle: What’s the Difference?

PostgreSQL Vs. Oracle: What’s the Difference?

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

Data Discovery: From Finance to Healthcare

What is a Data Pipeline?

What Is Embedded Analytics?

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