GAVS Technology

DECEMBER 2, 2020

Co-founder & CIO, Healthcare Too. Is Healthcare Artificial Intelligence The Answer? To help explain the future of healthcare Artificial Intelligence (AI) let’s borrow a few lines from Lewis Carroll’s classic Alice in Wonderland : Alice: Would you tell me, please, which way I ought to go from here? General AI.

Healthcare 52

Healthcare Artificial Intelligence Retail Government 52

Smart Data Collective

JULY 10, 2019

Big data is changing the nature of healthcare. One of the biggest developments was the implementation of the Medical Information Mart for Intensive Care , which took data from 50,000 patients dating back to 2001. Big data will have an even more profound impact in the near future. Most of this data is still unprocessed.

Healthcare 176

Healthcare Big Data Pharmaceutical Digital 176

Smart Data Collective

SEPTEMBER 17, 2020

Data analytics has created new opportunities for employers and workers around the world. However, a growing emphasis on data has also created a slew of challenges as well. One of the biggest issues in healthcare is patient privacy. You can learn some insights from the study Patient Privacy in the Era of Big Data.

Data Analytics 216

Data Analytics Data Analytics Big Data Cybersecurity 216

Smart Data Collective

JANUARY 26, 2021

This is where blending business translation with your big data architecture via the services of a translation company really comes into its own. Using a Translation Company with Your Big Data Strategy. It’s important to build translation considerations into your big data strategy. If it happens, technology can monitor it.

Data Architecture 297

Data Architecture Big Data Documentation Monitoring 297

GAVS Technology

AUGUST 5, 2021

The pandemic accelerated the shift in healthcare towards Telehealth. Telehealth is the IT-enabled augmentation of Healthcare services that aim at substitution of traditional face-to-face mode of patient-provider interaction. Telemonitoring: In this case, a doctor receives health data from a patient, while connected to a biosensor.

Healthcare 52

Healthcare Monitoring Data Mining Documentation 52

Astera

APRIL 28, 2023

Data management can be a daunting task, requiring significant time and resources to collect, process, and analyze large volumes of information. Continuous Data Quality Monitoring According to Gartner , poor data quality cost enterprises an average of $15 million per year.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

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.

Data Quality 52

Data Quality Monitoring Data Modelling Data Warehouse 52

Smart Data Collective

JUNE 19, 2019

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. This technique applies across different industries, including healthcare, service, and manufacturing. Risk Management Applications for Analyzing Big Data.

Big Data 176

Big Data Logistics Monitoring Data Analytics 176

Cprime

JANUARY 23, 2024

– Generative AI significantly enhances operational efficiencies and cost savings across various industries, with a notable impact in sectors like healthcare, marketing, and legal. – Key areas for generative AI value addition in enterprises include programming, data analysis, and customer-facing applications.

Healthcare 52

Healthcare Cybersecurity Government Data Security 52

Data Pine

OCTOBER 21, 2020

Big data has changed the way we manage, analyze, and leverage data across industries. One of the most notable areas where data analytics is making big changes is healthcare. In this article, we’re going to address the need for big data in healthcare and hospital big data: why and how can it help?

Healthcare 145

Healthcare Big Data Data Analytics Data Analytics 145

Astera

NOVEMBER 7, 2023

They facilitate tracking and monitoring of file activities, offering insights into who accessed certain files, when they were accessed, and any modifications made. AS2 is a specific protocol designed for secure business-to-business (B2B) data exchange between trading partners.

Documentation 40

Documentation Monitoring Data Security Digital Transformation 40

Astera

AUGUST 2, 2023

This innovation facilitated seamless data interchange, profoundly impacting a number of business sectors including retail, logistics, and healthcare. The Integration of Modern EDI within End-to-End Data Management Solutions The Need for Comprehensive Data Management Businesses require more than just standalone EDI solutions.

Digital Transformation 52

Digital Transformation Digital E-Commerce Supply Chain 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

In today’s data-driven world, businesses rapidly generate massive amounts of data. Managing this data effectively and timely is critical for decision-making, but how can they make sense of all this data most efficiently? Everyone with the same access level can access the same data to work with.

Data Quality 52

Data Quality Data Security Data Warehouse Monitoring 52

Smart Data Collective

FEBRUARY 2, 2021

Web hosts, for example, should serve as an online business’s first line of defense with essential security features such as access restrictions, network monitoring, SSL encryption, and malware identification and removal services. The expenses of data breach lawsuits are often a lot more than what most small businesses can afford.

Cybersecurity 161

Cybersecurity Healthcare Government Monitoring 161

Astera

OCTOBER 26, 2023

Handling Missing Data: How to Do It: Options include imputation, deletion, or using algorithms that can handle missing values. Examples & Considerations: In a healthcare dataset, missing patient data, such as blood pressure readings, may be imputed using statistical methods to maintain data completeness and integrity.

Data Quality 52

Data Quality Healthcare Retail Visualization 52

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 52

Data Warehouse Healthcare Data Management Data Quality 52

Smart Data Collective

AUGUST 14, 2019

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big Data is Driving Massive Changes in Healthcare.

Healthcare 194

Healthcare Big Data Data Analytics Data Analytics 194

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. You need to monitor your business performance and derive actionable insights. Still unsure?

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Astera

MAY 19, 2023

The Evolution of Data Storage and the Rise of AI Data storage has come a long way since the mid-20th century when punch cards and magnetic tapes were the primary storage options. One significant impact of AI is the shift from a reactive to a proactive approach for storage management.

Predictive Analytics 40

Predictive Analytics E-Commerce Artificial Intelligence Innovation 40

Astera

FEBRUARY 14, 2024

Data Vault 101: Your Guide to Adaptable and Scalable Data Warehousing As businesses deal with larger and more diverse volumes of data, managing that data has become increasingly difficult. These examples show the high level of flexibility and adaptability provided by data vault.

Data Warehouse 52

Data Warehouse Data Modelling Agile Data Quality 52

Astera

JANUARY 23, 2024

Data quality is upheld, and compliance policies ensure accurate and reliable information is delivered to decision-makers, fostering trust in the BI outputs. The Role of Information Marts in BI Imagine a hypothetical healthcare organization, CareOrg, providing care to a vast patient community.

Agile 52

Agile Data Warehouse Data Quality Government 52

Astera

JUNE 13, 2023

Data Streaming For real-time or streaming data, they employs techniques to process data as it flows in, allowing for immediate analysis, monitoring, or alerting. Stream processing platforms handle the continuous flow of data, enabling real-time insights. ETL processes are often used for batch processing scenarios.

E-Commerce 52

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

Data Pine

APRIL 14, 2022

When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. After all, these are some pretty massive industries with many examples of big data analytics, and the rise of business intelligence software is answering what data management needs.

Big Data 97

Big Data Healthcare Customer Experience Customer Experience 97

Astera

APRIL 4, 2024

Implementing Security Measures: Enforcing encryption and monitoring to protect sensitive information. Platforms can standardize product information and monitor data quality, which enhances customer trust, minimizes returns, and drives competitiveness.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

APRIL 19, 2024

Data governance and data quality are closely related, but different concepts. The major difference lies in their respective objectives within an organization’s data management framework. Data quality is primarily concerned with the data’s condition.

Data Governance 52

Data Governance Data Quality Government Monitoring 52

Astera

APRIL 24, 2024

Lack of Accountability and Ownership It emphasizes accountability by defining roles and responsibilities and assigning data stewards, owners, and custodians to oversee data management practices and enforce governance policies effectively. It automates repetitive tasks, streamlines workflows, and improves operational efficiency.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

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. It would be easier to implement decentralized HIE using blockchain.

Healthcare 52

Healthcare Data Modelling Data Mining Government 52

Astera

DECEMBER 7, 2023

IoT Data Processing : Handling and analyzing data from sensors or connected devices as it arrives. Real-time Analytics : Making immediate business decisions based on the most current data. Log Monitoring : Analyzing logs in real-time to identify issues or anomalies.

Supply Chain 52

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

Astera

DECEMBER 7, 2023

IoT Data Processing : Handling and analyzing data from sensors or connected devices as it arrives. Real-time Analytics : Making immediate business decisions based on the most current data. Log Monitoring : Analyzing logs in real-time to identify issues or anomalies.

Supply Chain 52

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

Astera

MARCH 11, 2024

According to a recent Gartner survey, 85% of enterprises now use cloud-based data warehouses like Snowflake for their analytics needs. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

NOVEMBER 28, 2023

Importance of Data Pipelines Data pipelines are essential for the smooth, automated, and reliable management of data throughout its lifecycle. They enable organizations to derive maximum value from their data assets. Real-time Ingestion: In this method, data is processed immediately as it arrives.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

APRIL 3, 2024

It’s not just about fixing errors—the framework goes beyond cleaning data as it emphasizes preventing data quality issues throughout the data lifecycle. A data quality management framework is an important pillar of the overall data strategy and should be treated as such for effective data management.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

GAVS Technology

FEBRUARY 3, 2021

Going beyond, Blockchain will also play a major role in the Identity and Credentialing of healthcare professionals involved, as well as the Consent Management of the patients who will be administered the vaccine. This solution has a much larger scope for extending to various healthcare use cases. Advantages of The Solution.

Supply Chain 52

Supply Chain Pharmaceutical Healthcare Data Mining 52

Astera

MARCH 28, 2024

Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion. Both data catalog and data dictionary serve essential roles in data management. How to Build a Data Catalog? Creating a catalog involves multiple important steps.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Argon Digital

SEPTEMBER 7, 2023

These robust tools connect your organization, typically through cloud-based platforms, providing an interconnected and user-friendly portal for managing and storing a wide array of data types. These versatile ECM tools guide users and organizations through the entire journey of file and document management.

Documentation 52

Documentation Government Healthcare Monitoring 52

Astera

APRIL 3, 2023

Better Decision-Making Sharing data across departments enables organizations to gain a comprehensive view of their business, identify trends, and make data-driven decisions. Increased Revenue Economically speaking, data sharing reduces costs by eliminating redundancy. They can pool their knowledge and share a single copy.

Innovation 52

Innovation Healthcare Data Security Retail 52