Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

DECEMBER 7, 2023

ETL refers to a process used in data integration and warehousing. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse , or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

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 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

APRIL 28, 2023

Additionally, AI-powered data modeling can improve data accuracy and completeness. For instance, Walmart uses AI-powered smart data modeling techniques to optimize its data warehouse for specific use cases, such as supply chain management and customer analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Astera

DECEMBER 7, 2023

ETL refers to a process used in data warehousing and integration. It gathers data from various sources, transforms it into a consistent format, and then loads it into a target database, data warehouse, or data lake. Extract: Gather data from various sources like databases, files, or web services.

Supply Chain 52

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

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Government: Using regional and administrative level demographic data to guide decision-making.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Tableau

MARCH 9, 2021

Accenture EMEA has been and continues to invest in developing brand-new solutions to serve our mutual customers in banking, manufacturing, healthcare, and communications, and we look forward to continued success in 2021. Congratulations Accenture EMEA! . Technology Partner of the Year: Snowflake. Thank you Snowflake! .

Healthcare 98

Healthcare Data Warehouse Banking Digital 98

Astera

APRIL 9, 2023

The AI template-based approach allows organizations to automate document processing as the captured data becomes part of the data pipelines that feed data into their data warehouse. Once the template is created, it can be reused for future documents with a similar structure and format.

Documentation 52

Documentation Healthcare Banking Finance 52

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

GAVS Technology

NOVEMBER 3, 2020

With rising demands for quality and cost-effective patient care, healthcare providers are focusing on data-driven diagnostics while continuing to utilize their hard-earned human intelligence. In other words, data-driven healthcare is augmenting human intelligence. Srinivasan Sundararajan. 360 Degree View of Patient.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

Tableau

JANUARY 18, 2023

Meet the 2022 Tableau DataDev Ambassadors The 2022 DataDev Ambassador cohort is based around the world, with their expertise spanning across healthcare, technology, finance, and more. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events.

Data Warehouse 91

Data Warehouse Healthcare Visualization Finance 91

Tableau

JANUARY 18, 2023

Meet the 2022 Tableau DataDev Ambassadors The 2022 DataDev Ambassador cohort is based around the world, with their expertise spanning across healthcare, technology, finance, and more. Members of the community can connect with DataDev ambassadors through the DataDev Slack instance and User Groups, but also at any of our DataDev events.

Data Warehouse 83

Data Warehouse Healthcare Visualization Finance 83

Astera

SEPTEMBER 28, 2023

Reverse ETL is a relatively new concept in the field of data engineering and analytics. It’s a data integration process that involves moving data from a data warehouse, data lake, or other analytical storage systems back into operational systems, applications, or databases that are used for day-to-day business operations.

Data Warehouse 52

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

Astera

JUNE 14, 2023

Healthcare Systems: These systems enable healthcare providers to manage patient records, schedule appointments, and process insurance claims. With its intuitive drag-and-drop interface and pre-built connectors, Centerprise makes it easy to integrate and manage data from different sources, regardless of the format and location.

Supply Chain 40

Supply Chain Data Warehouse Financial Analysis Real-time Data 40

Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. It provides multiple security measures for data protection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Juice Analytics

DECEMBER 30, 2019

Dave has over 35 years of experience in project management, healthcare software, extensive information systems and analysis of information systems We asked Dave what he loved about Juice and what exactly made him believe in this company and help to champion Juice to others around the globe.

Data Warehouse 71

Data Warehouse Healthcare Project Management 71

Astera

MARCH 30, 2023

It is an integral aspect of data management within an organization as it enables the stakeholders to access and utilize relevant data sets for analysis, decision making, and other purposes. It involve multiple forms, depending on the requirements and objectives of stakeholders.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52

GAVS Technology

JUNE 2, 2021

While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

AUGUST 3, 2023

The healthcare industry has HIPAA, while the retail industry has EDI standards such as AS2, AS3, and AS4. For example, if you are in the healthcare industry, your EDI platform should be HIPAA compliant and offer solutions such as secure messaging, data encryption, and access controls to ensure that your PHI is protected.

Healthcare 52

Healthcare Data Warehouse Retail Data Security 52

Tableau

MARCH 9, 2021

Accenture EMEA has been and continues to invest in developing brand-new solutions to serve our mutual customers in banking, manufacturing, healthcare, and communications, and we look forward to continued success in 2021. Congratulations Accenture EMEA! Technology Partner of the Year: Snowflake. Thank you Snowflake!

Healthcare 52

Healthcare Data Warehouse Banking Digital 52

Astera

JUNE 14, 2023

The ultimate goal is to convert unstructured data into structured data that can be easily housed in data warehouses or relational databases for various business intelligence (BI) initiatives. Healthcare Obtaining accurate healthcare data is especially important as it can impact patient outcomes.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Sisense

APRIL 1, 2020

Our reality has changed — from WFH and social isolation to tele-everything and healthcare capacity challenges, to mass reductions of flights and ever-shifting supply chains. I’ve met a healthcare company that is learning to optimize capacity and advance resource planning. They need nimble decision-making tools and empowered data teams.

Supply Chain 52

Supply Chain Healthcare Cybersecurity Data Warehouse 52

Astera

MARCH 28, 2024

A data catalog works by collecting, organizing, and providing access to metadata about an organization’s data assets. Here’s how it typically operates: Data Ingestion : Metadata from various sources, such as databases, data warehouses , data lakes, and files, is ingested into it.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Business Analysis Knowledge Share

OCTOBER 27, 2023

This may involve data from internal systems, external sources, or third-party data providers. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake. Data integration ensures that all necessary information is readily available for analysis.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Domo

DECEMBER 9, 2020

But how can you connect data from all the disparate systems in your stack without duplicating it—and still allow advanced transformations, permissioning, and writeback to your source systems? With Domo’s federated data model , you can query data from your existing data lakes and warehouses without moving or duplicating the data in Domo.

Data Warehouse 98

Data Warehouse IBM cost IBM Maintenance Healthcare 98

Astera

APRIL 3, 2024

Ensure Only Healthy Data Reaches Your Data Warehouse Learn More What are the components of a data quality framework? These are important elements or building blocks that come together to create a system that ensures your data is trustworthy and useful.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Astera

APRIL 23, 2024

Data that meets the requirements set by the organization is considered high-quality—it serves its intended purpose and helps in informed decision-making. Such a detailed dataset is maintained by trained data quality analysts, which is important for better decision-making and patient care. million annually due to low-quality data.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Astera

NOVEMBER 27, 2023

Types of Data Profiling Data profiling can be classified into three primary types: Structure Discovery: This process focuses on identifying the organization and metadata of data, such as tables, columns, and data types. This certifies that the data is consistent and formatted properly.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Astera

MARCH 31, 2023

However, to establish a single source of truth, enterprises have to combine data from different sources, which is often tedious and time consuming. Because this data is in different formats, transforming it and improving its quality is of prime importance before loading it into a data warehouse.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Astera

JUNE 13, 2023

Stream processing platforms handle the continuous flow of data, enabling real-time insights. Data Storage Once processed, data needs to be stored in appropriate repositories for further usage, such as data warehouses, data marts, operational databases, or cloud-based storage solutions.

E-Commerce 52

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

The BAWorld

OCTOBER 8, 2020

Cleaning involves handling null values, outliers, duplicate values, synchronizing data to correct formats and much more. Data can be stored in a data warehouse or any other system suitable to the business. The post What is Data Analytics? appeared first on The BAWorld - A Techcanvass Blog.

Data Analytics 59

Data Analytics Data Analytics Retail Data Warehouse 59

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. The low-code/no-code movement has come to many areas and functions that historically supported analytics, such as data integration and ETL.

Data Warehouse 40

Data Warehouse Customer Experience Customer Experience Innovation 40

Astera

OCTOBER 20, 2022

[viii] Data analytics offers advantages for organizations of all sizes, including risk mitigation and fraud detection, optimizing business processes, improving customer experiences, and more. Industry-Specific Data Statistics. The healthcare analytics market is estimated to be valued at US$ 32.7 billion by 2030. [xi].

Cloud Computing 52

Cloud Computing Healthcare Big Data Data Management 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. These tools enhance financial stability and customer satisfaction.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

JUNE 8, 2023

Oracle Oracle is beloved by many, because of its ability to process high volumes of data very quickly. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

Oracle Oracle is beloved by many, because of its ability to process high volumes of data very quickly. Because of its scalability, it’s often used in corporate data warehouses and cloud computing applications.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52