Astera

JUNE 14, 2023

Legal Documents: Contracts, licensing agreements, service-level agreements (SLA), and non-disclosure agreements (NDA) are some of the most common legal documents that businesses extract data from. Healthcare Records: These include medical documents, such as electronic health records (EHR), prescription records, and lab reports, among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Astera

OCTOBER 25, 2023

Data transformation is a process that can help them overcome these challenges by changing the structure and format of raw data to make it more suitable for analysis. This improves data quality and facilitates analysis, enabling them to leverage more effectively in decision making.

Data Quality 52

Data Quality Supply Chain Healthcare Planning 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Data Warehouse Real-time Data 52

Astera

DECEMBER 7, 2023

Healthcare Data Management In healthcare, ETL batch processing is used to aggregate patient records, medical histories, treatment data, and diagnostics from diverse sources. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

Supply Chain E-Commerce Real-time Data Data Warehouse 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

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. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

MAY 25, 2023

Big Data Security: Protecting Your Valuable Assets In today’s digital age, we generate an unprecedented amount of data every day through our interactions with various technologies. The sheer volume, velocity, and variety of big data make it difficult to manage and extract meaningful insights from. How is big data secured?

Big Data 40

Big Data Data Security Monitoring Data Quality 40

Astera

JANUARY 12, 2024

It ensures that data from different departments, like patient records, lab results, and billing, can be securely collected and accessed when needed. Selecting the right data architecture depends on the specific needs of a business. Use Cases Choosing between a Data Vault and a Data Mesh often depends on specific use cases.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

APRIL 29, 2024

Data transformation can also be used to create new attributes within the dataset. Example: A healthcare data analyst leverages mathematical expressions to create new features like Body Mass Index (BMI) through existing features like height and weight. Agility : Quickly adapt to changing data requirements with flexible tools.

Big Data 52

Big Data Retail Healthcare Finance 52