Domo

MARCH 1, 2021

Data for Persuasion Data literacy is critical to making data work in a way that drives better decisions and processes across your business. Demystifying Data Science in Domo Whether you are a data science rookie or a seasoned pro, you can use it to empower decision-making at your organization.

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Cprime

JANUARY 30, 2024

Future of AI in Healthcare FAQs addressed in this article: How is AI transforming healthcare diagnostics? How does AI improve healthcare accessibility? How is AI enhancing operational efficiency in healthcare? What is the significance of AI in healthcare data security?

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GAVS Technology

AUGUST 31, 2021

Each interaction within the healthcare system generates critical patient data that needs to be available across hospitals, practices, or clinics. Consequently, the industry witnessed a surge in the amount of patient data collected and stored. HIMSS and Interoperability. HIMSS classifies interoperability into four levels.

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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.

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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.

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GAVS Technology

SEPTEMBER 22, 2024

YOU) AI represents a revolutionary amplification of your healthcare ecosystem harnessing the transformative power of AI. AI-driven Cybersecurity Secure your ecosystems: from patient data to medical devices, cloud to identity, with AI-powered Zero Trust protection.

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Sisense

APRIL 10, 2020

As COVID-19 continues to spread, healthcare groups and companies of all kinds are under pressure to provide care in the face of increasing demand. Healthy Data is your window into how data is helping these organizations address this crisis. Specific challenges involved with data related to the Coronavirus.

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Astera

JUNE 5, 2024

Streaming ETL is a modern approach to extracting, transforming, and loading (ETL) that processes and moves data from source to destination in real-time. It relies on real-time data pipelines that process events as they occur. Events refer to various individual pieces of information within the data stream.

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Whizlabs

APRIL 19, 2021

Michelle Bailey – GVP/GM & IDC Research Fellow at IDC, Speaker at Leading Industry Events. Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. She is a frequent speaker at Leading Industry Events. Follow Chelsea L.

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Astera

FEBRUARY 2, 2024

Some common examples include: Online Registration Forms: Educational institutions, conferences, and events often use online registration forms to collect participant information. Form processing can automate data extraction like names, addresses, and contact details.

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Domo

SEPTEMBER 11, 2019

Last month I traveled to San Diego with several other Domo solution consultants for the annual Gartner Catalyst Conference , a four-day event for tech professionals interested in learning more about the trends and topics at the forefront of IT. It’s a great primer for anyone contemplating going down this increasingly popular road.

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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. Considering cloud-first data management?

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Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. Data scientists use ML and deep learning to grasp the semantics and context of language, which traditional data analytics cannot achieve.

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The BAWorld

MAY 28, 2024

The BFSI market is expected to employ over 55 million people globally by 2025 ( Source: Deloitte ) Data Management and Security: BFSI institutions engage and keep the different kinds of personal and financial data where the IT industry implements cybersecurity measures, secure data storage, and faster data processing systems to ease performance.

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Astera

DECEMBER 7, 2023

By processing data as it streams in, organizations can derive timely insights, react promptly to events, and make data-driven decisions based on the most up-to-date information. This includes generating reports, audits, and regulatory submissions from diverse data sources.

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Astera

DECEMBER 7, 2023

By processing data as it streams in, organizations can derive timely insights, react promptly to events, and make data-driven decisions based on the most up-to-date information. This includes generating reports, audits, and regulatory submissions from diverse data sources.

Supply Chain 52

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Astera

AUGUST 13, 2024

For instance, automating data entry into a static form using RPA can improve efficiency, but it won’t address underlying process inefficiencies like redundant data sources or manual approvals. Business process automation (BPA) is another strategy enabling event-based automation. Who Uses Process Orchestration?

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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.

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Astera

SEPTEMBER 20, 2024

A cloud database operates within the expansive infrastructure of providers like AWS, Microsoft Azure, or Google Cloud, utilizing their global network of data centers equipped with high-performance servers and storage systems. Data is distributed across these centers to ensure redundancy and maintain high availability.

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The BAWorld

NOVEMBER 8, 2024

Data is a crucial asset for any industry, including finance, healthcare, social media, energy, retail, real estate, and manufacturing, hence understanding how to evaluate it is crucial. But the data itself would be meaningless, unstructured, and unfiltered.

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Astera

JUNE 13, 2023

It leverages stream processing frameworks like Apache Kafka to process all data in real time, simplifying the pipeline architecture and reducing latency. Event-driven Pipelines Event-driven data pipelines leverage events to trigger data processing and propagate changes across the pipeline. Find out How

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Astera

MAY 6, 2024

Data mining goes beyond simple analysis—leveraging extensive data processing and complex mathematical algorithms to detect underlying trends or calculate the probability of future events. What Are Data Mining Tools? Data mining tools aid early diagnosis, drug discovery, and patient management.

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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.

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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. Try Astera for free for 14 days and optimize your ETL.

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Marutitech

JANUARY 29, 2021

Appian also excels at reporting and provides the required tools to report any of the data captured in the request. This data is then exported to Excel and used for data management. One can report data in various ways, such as a pdf, charts, graphs, or a grid format. 3. Ease Of Low-Code App Development .

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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?

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Astera

SEPTEMBER 28, 2023

Use Cases It supports diverse use cases, including data integration, data migration, and event processing. It is specifically used for preparing data for analytics, reporting, and business intelligence. Data Quality Maintaining data quality is not always a requirement.

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Astera

AUGUST 5, 2024

The aim is to provide a clear understanding of what has happened in the past by transforming raw data into meaningful summaries and visualizations. Predictive Analysis : Predictive analysis goes further by using historical data to forecast future events. Therefore, investing in comprehensive data management solutions is crucial.

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Astera

FEBRUARY 1, 2024

Identifying Entities The initial step of the data modeling process is to pinpoint the components or main objects, called entities. E ntities are representations of actual objects, concepts, or events found in the data set which needs model ing. These could be tangible things like customers or abstract concepts like transactions.

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Smart Data Collective

FEBRUARY 2, 2021

Data breaches threaten legal action. Depending on the type of information an organization keeps, serious legal ramifications can be threatened in the event of a breach. This is especially true and more serious for financial and healthcare businesses handling extremely confidential information.

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GAVS Technology

MAY 7, 2021

Democratization of AI in Healthcare. Healthcare is often cited as an area that AI can help immensely. The democratization of AI in healthcare, which is being driven by cloud technologies, is leading to greater access and more predictive work in patient monitoring and smarter reactive responses to health issues. Emotion APIs.

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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. It has a collapse command feature.

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Analysts Corner

NOVEMBER 18, 2024

From healthcare to entertainment, this technology is reshaping how content is generated and consumed. For instance, in the healthcare sector , generative AI helps create personalized treatment plans. By analyzing vast amounts of patient data, it can recommend tailored strategies that may lead to better outcomes.

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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.

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Insight Software

MARCH 25, 2024

A hospital key performance indicator ( KPI ) is a quantifiable measure that monitors the quality of healthcare provided by the hospital and measures the overall success of the business. Providing quality healthcare must remain the number one goal for any hospital. What is a Hospital KPI and Why is it Important?

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Insight Software

JUNE 25, 2023

A hospital key performance indicator (KPI) is a quantifiable measure that monitors the quality of healthcare provided by the hospital and measures the overall success of the business. Providing quality healthcare must remain the number one goal for any hospital. What is a Hospital KPI and Why is it Important?

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Insight Software

MAY 9, 2024

Technologies used for data storage include relational databases, columnar stores, or distributed storage systems like Hadoop or cloud-based data storage. Organizations can use data pipelines to support real-time data analysis for operational intelligence. This leads to better decision-making and improved outcomes.

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