Astera

APRIL 7, 2023

However, managing reams of data—coming from disparate sources such as electronic and medical health records (EHRs/MHRs), CRMs, insurance claims, and health-tracking apps—and deriving meaningful insights is an overwhelming task. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Smart Data Collective

AUGUST 15, 2022

Through the combination of AI and machine learning that gathers and analyzes behavioral, historical, and social data, brands can now better understand their customers. Unlike traditional data management, AI continuously learns and improves using the data it analyzes to anticipate customer behavior. Improved Marketing.

Cybersecurity 244

Cybersecurity Artificial Intelligence Customer Experience Customer Experience 244

Astera

MAY 5, 2023

AI-driven innovations in enterprise data storage are transforming the way financial data is managed and stored, enabling businesses to unlock valuable insights and stay ahead of the competition. AI can also automate data encryption, ensuring that sensitive data is protected both at rest and in transit.

Innovation 40

Innovation Data Management Artificial Intelligence Big Data 40

Smart Data Collective

FEBRUARY 20, 2022

Whether it’s data management, analytics, or scalability, AWS can be the top-notch solution for any SaaS company. Management. With the advancement of technology and more people accessing the internet, data security has become increasingly important. Thank you for taking the time to read this blog post.

Cloud Computing 288

Cloud Computing Artificial Intelligence Monitoring Data Security 288

Astera

JULY 12, 2023

Compliance Monitoring and Risk Mitigation: Automated contract data extraction tools powered by AI can assist in monitoring compliance and mitigating risks. This enables accurate data extraction, even from non-standard contract formats, resulting in a more versatile and comprehensive solution.

Data Management 40

Data Management Documentation Data Quality Monitoring 40

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

Its ability to handle both types of workloads in a unified platform can simplify the overall data management process for your business. Integration of External Data Sources When you need to integrate data from diverse external sources, SQL Server’s PolyBase feature can facilitate the process.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Data Pine

FEBRUARY 9, 2024

4) How to Select Your KPIs 5) Avoid These KPI Mistakes 6) How To Choose A KPI Management Solution 7) KPI Management Examples Fact: 100% of statistics strategically placed at the top of blog posts are a direct result of people studying the dynamics of Key Performance Indicators, or KPIs. What Is KPI Management?

Procurement 88

Procurement Supply Chain Retail Monitoring 88

Astera

MARCH 19, 2024

Implementing security measures to protect data from unauthorized access, breaches, or misuse is crucial for maintaining confidentiality and compliance with regulations. Data Governance Vs. Data Management What’s the difference between data governance and data management?

Data Governance 52

Data Governance Government Data Quality Monitoring 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 18, 2024

Given this reliance, insurance companies must process and manage data effectively to gain valuable insight, mitigate risks, and streamline operations. The Dual Imperative: Upholding Data Quality and Governance Data quality and governance are essential data management components, particularly in the insurance industry.

Data Quality 52

Data Quality Government Data Governance Data Security 52

GAVS Technology

MARCH 18, 2024

This blog captures some of the key discussion points and takeaways from the webinar on ‘ Emerging Risks for Data Protection in Healthcare. ‘ The link to the entire webinar is available at the end of the blog. The webinar was moderated by Shivakumar D, who leads the Data Privacy function at GS Lab | GAVS.

Healthcare 52

Healthcare Cybersecurity Digital Data Security 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

Astera

JANUARY 29, 2024

. “Data privacy is a data discipline that needs to be governed. If the people working on governance handle privacy, they’ll work on identifying where private data lives, understand privacy rules, communicate to data users, and monitor adherence to privacy rules,” Albert adds.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Astera

NOVEMBER 28, 2023

Therefore, it is imperative for your organization to invest in appropriate tools and technologies to streamline the process of building a data pipeline. This blog details how to build a data pipeline effectively step by step, offering insights and best practices for a seamless and efficient development process.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

JANUARY 19, 2024

Mulesoft and Its Key Features MuleSoft provides a unified integration platform for connecting applications, data, and devices on-premises and in the cloud. Built on Java, its Anypoint Platform acts as a comprehensive solution for API management, design, monitoring, and analytics. Key Features: Drag-and-drop user interface.

IBM Support 52

IBM Support IBM cost IBM Maintenance Data Warehouse 52

Astera

APRIL 4, 2024

Implementing Security Measures: Enforcing encryption and monitoring to protect sensitive information. Here are some real-world scenarios where each approach is effectively implemented: Data Governance: E-commerce Quality Assurance: In e-commerce, data governance ensures product quality consistency.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

JANUARY 1, 2024

Python Data Pipeline Frameworks Python data pipeline frameworks are specialized tools that streamline the process of building, deploying, and managing data pipelines. These frameworks provide pre-built functionalities that can handle task scheduling, dependency management, error handling, and monitoring.

Monitoring 52

Monitoring Data Quality Visualization Data Warehouse 52

Astera

JANUARY 1, 2024

Python Data Pipeline Frameworks Python data pipeline frameworks are specialized tools that streamline the process of building, deploying, and managing data pipelines. These frameworks provide pre-built functionalities that can handle task scheduling, dependency management, error handling, and monitoring.

Monitoring 52

Monitoring Data Quality Visualization Data Warehouse 52

Astera

APRIL 29, 2024

In short, a data governance strategy includes the following: Establishing principles, policies, and procedures for data management. Aligning the overarching data strategy. Ensuring ongoing monitoring and adaptation. Who is responsible for various data governance roles?

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

APRIL 24, 2024

They gather, process, and analyze data from diverse sources. From handling modest data processing tasks to managing large and complex datasets, these tools bolster an organization’s data infrastructure. What are Data Aggregation Tools? At its core, Astera boasts a potent ETL engine that automates data integration.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 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

Astera

APRIL 24, 2024

Data ingestion is important in collecting and transferring data from various sources to storage or processing systems. In this blog, we compare the best data ingestion tools available in the market in 2024. What is Data Ingestion? Below is a list of some of the best data ingestion solutions and their key features.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 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

AUGUST 8, 2023

Using these tools, you can easily automate your data quality measures and ensure you consistently get reliable insights. Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

FEBRUARY 28, 2024

In other words, a data warehouse is organized around specific topics or domains, such as customers, products, or sales; it integrates data from different sources and formats, and tracks changes in data over time. Encryption, data masking, authentication, authorization, and auditing are your arsenal.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

It provides a single source of truth, ensuring that users access the same and latest version of the data. It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Metadata describes the structure, meaning, origin, and data usage.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MAY 13, 2024

Then, you can leverage it to gain a holistic perspective on your operations and market trends, design effective risk management practices, and make more informed decisions overall. This blog offers an in-depth look at data aggregation to help you understand what it is, how it works, and how it benefits your business when done right.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Domo

NOVEMBER 4, 2021

In my 20 years working with data, I have often pushed my teams to “manage our data work like a website.” I mean that we need to monitor how data is being used, who is engaging with our data, how often they are engaging with our data, and then be prepared to field the many questions that are sure to follow.

Government 59

Government Monitoring Data Governance Data Management 59

Astera

OCTOBER 12, 2023

Let’s review the top 7 data validation tools to help you choose the solution that best suits your business needs. Top 7 Data Validation Tools Astera Informatica Talend Datameer Alteryx Data Ladder Ataccama One 1. Astera Astera is an enterprise-grade, unified data management solution with advanced data validation features.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

NOVEMBER 1, 2023

As the financial services sector grapples with an ever-expanding volume of data and increasingly stringent compliance demands, the need for a holistic approach to data governance is undeniable. Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

OCTOBER 20, 2022

The traditional ‘mining and refining’ techniques fall short when it comes to efficiently managing data, so modern enterprises are embracing automated data processing to simplify data management. IDC predicts that 80 percent of the world’s data will be unstructured by 2025. [v] ii] [link].

Cloud Computing 52

Cloud Computing Healthcare Big Data Data Management 52

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

ElegantJ BI

OCTOBER 31, 2022

Real time and cached data management. Anomaly Monitoring and Alerts. ‘As What-If Analysis to test pricing, budget and cost information. GeoMap support with interactive maps. Out-of-the-Box Mobile BI tools for access from anywhere. Personalized alerts. R Integration for all with no programming experience required.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

Astera

MAY 31, 2024

Analysts use data analytics to create detailed reports and dashboards that help businesses monitor key performance indicators (KPIs) and make data-driven decisions. Data analytics is typically more straightforward and less complex than data science, as it does not involve advanced machine learning algorithms or model building.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Smart Data Collective

AUGUST 5, 2021

And, finally, if the amount of data exceeds on certain occasions, the storage may run out of memory. This means that the process would die in the middle of the final writes, making consumers distinctly read the input data frames. from Spark 2.4. . Using Delta Lake and Spark 3.0,

Cybersecurity 358

Cybersecurity Monitoring Big Data Data Management 358

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