Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. Incomplete or inaccurate data can lead to incorrect conclusions and decisions.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

APRIL 24, 2024

What is a Data Governance Framework? A data governance framework is a structured way of managing and controlling the use of data in an organization. It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

APRIL 29, 2024

An effective data governance strategy is crucial to manage and oversee data effectively, especially as data becomes more critical and technologies evolve. What is a Data Governance Strategy? A data governance strategy is a comprehensive framework that outlines how data is named, stored, and processed.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

APRIL 4, 2024

However, according to a survey, up to 68% of data within an enterprise remains unused, representing an untapped resource for driving business growth. One way of unlocking this potential lies in two critical concepts: data governance and information governance.

Data Governance 52

Data Governance Government E-Commerce Data Quality 52

Astera

MAY 25, 2023

That’s how it can feel when trying to grapple with the complexity of managing data on the cloud-native Snowflake platform. They range from managing data quality and ensuring data security to managing costs, improving performance, and ensuring the platform can meet future needs. So, let’s get started!

Data Quality 52

Data Quality Government Data Governance Monitoring 52

Astera

FEBRUARY 28, 2024

Given the generally complex nature of the data warehouse architecture, there are certain data warehouse best practices that focus on performance optimization, data governance and security, scalability and future-proofing, and continuous monitoring and improvement.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

MARCH 19, 2024

Data governance refers to the strategic management of data within an organization. It involves developing and enforcing policies, procedures, and standards to ensure data is consistently available, accurate, secure, and compliant throughout its lifecycle. Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Astera

JUNE 6, 2023

Technology Selection: Choose suitable tools and technologies based on data volume, processing needs, compatibility, and cloud options. Data Flow and Integration Design: Design the overall data flow and integration processes, including sequencing, transformation rules, and data governance policies.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Whizlabs

JUNE 29, 2021

Azure IoT Suite provides many alternatives for the connection and monitoring of devices and the provision of analytics and telemetry services. The Azure Redis Cache is a managed variant of the Redis data structure server. Azure Search provides managed search services based on OData. Estimating The Growth.

Cloud Computing 98

Cloud Computing Data Security Data Governance Government 98

Astera

MAY 4, 2023

Similarly, in the European Union, the General Data Protection Regulation (GDPR) requires that businesses ensure the lawful, fair, and transparent processing of personal data. There are also several industry-specific regulations that may apply to the use of AI-based document processing.

Documentation 40

Documentation Artificial Intelligence Data Security Monitoring 40

Astera

MAY 9, 2023

In such a scenario, it becomes imperative for businesses to follow well-defined guidelines to make sense of the data. That is where data governance and data management come into play. Let’s look at what exactly the two are and what the differences are between data governance vs. data management.

Data Governance 52

Data Governance Government Data Management Data Security 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

Astera

MAY 13, 2024

Consolidating, summarized data from wide-ranging sources ensures you aren’t considering just one perspective in your analysis. Performance Monitoring Data aggregation facilitates you in monitoring key performance indicators (KPIs) more effectively.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MARCH 20, 2024

This article covers everything about enterprise data management, including its definition, components, comparison with master data management, benefits, and best practices. What Is Enterprise Data Management (EDM)? Data breaches and regulatory compliance are also growing concerns.

Data Management 52

Data Management Master Data Management Data Warehouse Government 52

Domo

MAY 24, 2023

Continuous model optimization —Businesses can keep perfecting model performance through constant tracking and monitoring. Easy deployment —Businesses can easily deploy AI models into low-code and no-code data experiences. Businesses get all the benefits of AI while adhering to strict data governance standards.

Innovation 98

Innovation Artificial Intelligence Government Data Governance 98

Astera

JANUARY 2, 2024

When data is organized and accessible, different departments can work cohesively, sharing insights and working towards common goals. Data Governance vs Data Management One of the key points to remember is that data governance and data management are not the same concepts—they are more different than similar.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

AUGUST 8, 2023

Reusable Scripts: Astera streamlines data preparation with efficient, reusable scripts across workflows, promoting automation, efficiency, and consistency. Data Security and Compliance: The tool has security and compliance features, safeguarding your data and ensuring adherence to relevant regulations.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. As a result, RBAC simplifies data security management and minimizes the risks of data breaches and leaks.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

NOVEMBER 28, 2023

Promoting Data Governance: Data pipelines ensure that data is handled in a way that complies with internal policies and external regulations. For example, in insurance, data pipelines manage sensitive policyholder data during claim processing.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

FEBRUARY 27, 2024

It also simplifies data management and maintenance, reducing the risk of errors and conflicts. Performance Optimization Boosting the speed and efficiency of data warehouse operations is the key to unleashing its full potential. As a result, RBAC simplifies data security management and minimizes the risks of data breaches and leaks.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

OCTOBER 12, 2023

million to the US government when their lack of proper screening mechanisms led to 500 PayPal transactions worth $44,000, violating sanctions against Iran, Cuba, and Sudan. Data Preparation: Informatica allows users to profile, standardize, and validate the data by using pre-built rules and accelerators.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

JULY 13, 2023

Master Data Management (MDM) Master data management is a process of creating a single, authoritative source of data for business-critical information, such as customer or product data. One of the key benefits of MDM is that it can help to improve data quality and reduce errors.

Data Warehouse 40

Data Warehouse Data Governance Data Quality Master Data Management 40

Clarasys

JANUARY 5, 2022

In this blog, Aneesha Harindran explores the topic of data ethics that has been brought to light during the pandemic. In these times of epidemiological crises, governments have taken emergency measures to collect, use and share population data in order to support the medical community – track, trace and eradicate COVID-19.

Government 52

Government Artificial Intelligence Data Governance Innovation 52

Astera

NOVEMBER 13, 2023

For instance, marketing teams can use data from EDWs to analyze customer behavior and optimize campaigns, while finance can monitor financial performance and HR can track workforce metrics, all contributing to informed, cross-functional decision-making.

Data Warehouse 52

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

ElegantJ BI

JANUARY 8, 2016

Myth #2: True Self-Serve BI Tools Will Compromise Data Governance Data Anarchy exists because the enterprise does not have a manageable method of achieving data security while allowing for dynamic user access. With ElegantJ BI, you can make your developers AND business users happy!

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

ElegantJ BI

JANUARY 8, 2016

Myth #2: True Self-Serve BI Tools Will Compromise Data Governance. Data Anarchy exists because the enterprise does not have a manageable method of achieving data security while allowing for dynamic user access. Performance Management takes more than static displays and monitoring of gauges on an exotic dashboard.

Data Governance 130

Data Governance Business Intelligence Business Intelligence Government 130

Astera

APRIL 24, 2024

At its core, Astera boasts a potent ETL engine that automates data integration. Additionally, the platform’s customizable automation enhances efficiency by scheduling tasks and providing real-time monitoring to address integration errors quickly. These features streamline data integration, ensuring users enjoy uninterrupted data flow.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52