Astera

JANUARY 23, 2023

The healthcare industry has evolved tremendously over the past few decades — with technological innovations facilitating its development. Billion by 2026 , showing the crucial role of health data management in the industry. What is Health Data Management ? The global digital health market is expected to reach $456.9

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Domo

JUNE 4, 2024

SAN FRANCISCO – Domo (Nasdaq: DOMO) announced today that it will showcase at Snowflake AI Data Cloud Summit 2024 how Domo’s integration with Snowflake can revolutionize businesses’ data management, optimize their BI architecture and deliver data directly to customers with apps, BI and data science.

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GAVS Technology

SEPTEMBER 22, 2024

See what our AI can do for you… AI-led Services AI led Infrastructure Management Leverage the power of AI to bring 30-40% cost savings on your total cost of IT operations. AI/ML-led Solutions Discover AI-powered innovations, enhancing diagnosis, treatment, and patient care.

Healthcare 52

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Astera

DECEMBER 16, 2022

We met with a number of industry leaders and demonstrated our unified, end-to-end data management platform, Astera Data Stack. Big Data LDN 2022 | Olympia, London. Our team attended Big Data LDN 2022 , the UK’s largest enterprise data and analytics conference. Astera Data Stack version 10.0

Data Warehouse 59

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Astera

OCTOBER 11, 2022

Team Astera recently exhibited its award-winning solutions at the Big Data LDN 2022, UK’s largest enterprise data and analytics conference. Our team met with diverse industry leaders and demonstrated the company’s unified, end-to-end data management platform.

Big Data 52

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Astera

JUNE 6, 2024

Data governance allows businesses to have a smoother transition towards strategic decision making by addressing data quality concerns and enabling effective data usage. Implement Effective Data Governance with Astera Need a one stop solution for all your data management needs?

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Astera

AUGUST 13, 2024

After modernizing and transferring the data, users access features such as interactive visualization, advanced analytics, machine learning, and mobile access through user-friendly interfaces and dashboards. What is Data-First Modernization? It involves a series of steps to upgrade data, tools, and infrastructure.

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Astera

APRIL 10, 2023

From improved claims processing to enhanced underwriting decisions, we’ll show you how this innovative tool is changing the game for insurers. Superior Customer Experience Insurers can use AI-powered data extraction to better understand their customers’ needs and preferences.

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Inflexion Analytics

APRIL 15, 2024

Attendees can look forward to exclusive trainings, demos, real-world success stories, and inspiring talks. Additionally, they can explore how AI can streamline data management processes and unlock real-time insights. >> Add to my agenda << 3. >> Add to my agenda << 4. Spanner: Beyond relational?

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Astera

AUGUST 29, 2024

In fact, a recent study by McKinsey & Company revealed that 80% of companies undertake M&A to drive growth and innovation. Data Integration in M&A is a complex process involving merging different business functions, as it consists of aligning diverse cultures, systems, and processes across two organizations.

Data Governance 52

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Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

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Astera

APRIL 10, 2023

In particular, the adoption of AI-powered document data extraction is driving a paradigm shift in the world of supply chain management, enabling companies to achieve unprecedented levels of efficiency and cost savings. This approach saves time and effort and enables a more efficient extraction process.

Supply Chain 52

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Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In our Event Spotlight series, we cover the biggest industry events helping builders learn about the latest tech, trends, and people innovating in the space. In this piece, we detail the Israeli debut of Periscope Data.

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Astera

JUNE 21, 2024

Businesses must evolve and innovate to stay competitive in the ever-growing market. APIs act as messengers, enabling different software applications to talk to each other and share data. Businesses can create a unified data architecture by integrating applications through API adoption.

Real-time Data 52

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Astera

AUGUST 13, 2024

This shift increases productivity and enhances job satisfaction by empowering employees to contribute meaningfully to strategic initiatives and innovation within the organization. With its no-code interface, Astera allows users to manage their data and automate data-related processes with minimal IT intervention.

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Inflexion Analytics

MAY 22, 2024

Overcoming Challenges: While data analytics and reporting offer numerous benefits, law firms must address challenges such as data quality, security, and skill development to fully harness their potential. Ensuring data integrity through robust governance practices and investing in secure data management systems are paramount.

Data Analytics 52

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Astera

SEPTEMBER 4, 2024

This helps your teams retrieve, understand, manage, and utilize their data assets and stack (spread across domains as data microservices), empowering them to steer data-driven initiatives and innovation. In other words, data mesh lets your teams treat data as a product. What is Data Fabric?

Data Architecture 52

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Astera

APRIL 10, 2023

From improved claims processing to enhanced underwriting decisions, we’ll show you how this innovative tool is changing the game for insurers. Superior Customer Experience Insurers can use AI-powered data extraction to better understand their customers’ needs and preferences.

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Astera

FEBRUARY 27, 2024

Also, the high volume of patient registration forms amplifies the inefficiency of manual data extraction processes. Additionally, manual data extraction limits the scalability of healthcare systems. As the demand for healthcare services grows, efficient, scalable data management solutions become increasingly important.

Healthcare 52

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Astera

FEBRUARY 27, 2024

Also, the high volume of patient registration forms amplifies the inefficiency of manual data extraction processes. Additionally, manual data extraction limits the scalability of healthcare systems. As the demand for healthcare services grows, efficient, scalable data management solutions become increasingly important.

Healthcare 52

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Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. Astera offers a comprehensive set of data quality features to ensure data accuracy, reliability, and completeness.

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Astera

AUGUST 15, 2024

One such scenario involves organizational data scattered across multiple storage locations. In such instances, each department’s data often ends up siloed and largely unusable by other teams. This displacement weakens data management and utilization. The solution for this lies in data orchestration.

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Astera

APRIL 27, 2023

The modern data stack has revolutionized the way organizations approach data management, enabling them to harness the power of data for informed decision-making and strategic planning. These tools should allow you to automate your data pipeline and should make data management easy.

Data Warehouse 52

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Astera

JANUARY 1, 2024

Both these concepts emphasize the fact that data is not just a chaotic mess but a well-organized and reliable asset for your organization. Think of data governance as the rulebook for data management. Data-Driven Culture: Fostering a data-driven culture is an integral aspect of ensuring data quality.

Data Quality 52

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Astera

JANUARY 1, 2024

Both these concepts emphasize the fact that data is not just a chaotic mess but a well-organized and reliable asset for your organization. Think of data governance as the rulebook for data management. Data-Driven Culture: Fostering a data-driven culture is an integral aspect of ensuring data quality.

Data Quality 52

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Astera

MARCH 11, 2024

Snowflake has restructured the data warehousing scenario with its cloud-based architecture. Businesses can easily scale their data storage and processing capabilities with this innovative approach. Unsurprisingly, businesses are already adopting Snowflake ETL tools to streamline their data management processes.

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Cprime

AUGUST 17, 2023

Larger organizations will often manage multiple federated CMDBs integrated into a single system. ITSM powered by Jira Service Management provides innovative native tools specially designed to help IT teams leverage these best practices. Allowing the CMDB to become outdated severely reduces its value.

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Astera

JULY 11, 2024

Innovation Stagnation Relying on outdated technology can hinder an organization’s ability to adopt new technologies and processes, limiting innovation and competitive advantage. Data Management Legacy systems might not support modern data backup and recovery solutions, increasing the risk of data loss.

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Insight Software

DECEMBER 23, 2020

In the end, ERP customers should (at least theoretically) arrive at a place where their software systems are delivering greater value to the organization by enabling higher efficiency, stronger operational control, and innovation. At the same time, you may not want to lose the ability to report against historical data.

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Astera

APRIL 27, 2023

Lowered Cost of Data Operations Instead of maintaining in-house data storage solutions, businesses can save money and resources by outsourcing data management to DaaS providers. In addition, DaaS providers implement security measures such as access control, TFA, and platform firewalls to harden data security.

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Astera

MAY 24, 2023

The Digital Revolution in Healthcare: Understanding Automated Medical Record Data Extraction Automated medical record data extraction is a software-driven process that automatically extracts relevant data from medical records and enters it into electronic health records (EHRs) or other systems.

Healthcare 40

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Data Pine

FEBRUARY 9, 2024

Reduce the time needed to collect and analyze KPI data by automating processes. Enable you to integrate custom data connectors to have all your information in one central place. To squeeze the maximum value from your KPI data management activities, it’s essential to work with the right online data analysis tools for the job.

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Astera

MAY 8, 2024

When everyone adheres to standardized terminology, it minimizes data interpretation and usage discrepancies. Moreover, a well-defined glossary supports effective data governance practices by establishing guidelines for data management, access controls, and compliance with regulatory requirements.

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Astera

JULY 10, 2024

Data Management Basic data management capabilities. Advanced data analytics and reporting features. Simplified partner management with unified connections. Innovation and Updates Slower to adopt new technologies. Also compliant, with frequent updates to meet new standards.

Documentation 52

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Astera

NOVEMBER 1, 2023

Businesses rely heavily on various technologies to manage and analyze their growing amounts of data. Data warehouses and databases are two key technologies that play a crucial role in data management. It is important to understand the goals and objectives of the data management system.

Data Warehouse 40

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Astera

AUGUST 30, 2024

This inherent redundancy allows for quicker data recovery, facilitating business continuity. That’s why 48% of businesses store their most essential data on the cloud. Innovation and competitive advantage Data migration from on-premise to cloud lets your company innovate and gain a competitive advantage.

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Astera

MAY 4, 2023

As AI technology continues to evolve and mature, its integration into business intelligence and analytics unlocks new opportunities for growth and innovation. Without proper data management, companies struggle to access and use data required for AI implementation, which can lead to poor results or even failure.

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