Smart Data Collective

AUGUST 14, 2019

By definition, big data in health IT applies to electronic datasets so vast and complex that they are nearly impossible to capture, manage, and process with common data management methods or traditional software/hardware. Big data storage.

Healthcare 199

Healthcare Big Data Data Analytics Data Analytics 199

Astera

OCTOBER 18, 2024

Webinar Astera Intelligence: Leveraging AI for Automated Document Processing Process Any Document, From Any Source, In Any Format, Anytime. Monday, 11th November, at 11 AM PT / 2 PM ESTT Are you ready to automate unstructured data management? Automate document processing through streamlined data workflows.

Documentation 59

Documentation Product Management Product Management Data Management 59

Astera

MAY 8, 2024

A business glossary breaks down complex terms into easy-to-understand definitions, ensuring that everyone in the organization, from the newest recruit to the CEO, is on the same page regarding business language. Provide quick access to clear definitions for effective communication in daily operations.

Data Governance 52

Data Governance Government Healthcare Data Quality 52

Analysts Corner

NOVEMBER 24, 2022

It is not uncommon to find conflicting definitions and different sets of responsibilities for a business analyst role in different job descriptions. A skilled business analyst is an asset for an organization. However, there is a lot of confusion as to what a business analyst does, and what his/her roles and responsibilities are.

Data Governance 130

Data Governance Business Analysis Business Analysis Government 130

Analysts Corner

SEPTEMBER 16, 2024

It’s being used to fill in missing data and track trends in cost, security, and even technical debt. LeanIX uses generative AI to streamline enterprise architecture tasks, including querying data and generating documentation Capsifi Jalapeno seems to be more focused on automation and modeling at the moment. Not necessarily.

Enterprise Architecture 130

Enterprise Architecture Monitoring Documentation Innovation 130

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)? Why is Enterprise Data Management Important?

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MAY 30, 2024

Data governance is a process of managing data within an organization, as it defines how data is stored, archived, backed up, protected, and accessed by authorized personnel. Standardized Rules and Regulations It refers to consistent guidelines and procedures for data management throughout an organization.

Data Governance 52

Data Governance Government Data Management Data Quality 52

Astera

DECEMBER 2, 2022

Healthcare data migration involves moving health care data from existing applications and systems, including electronic health record (EHR) systems, to a new destination. Medical data can come from a myriad of sources, including but not limited to: Patient records and healthcare data, comprising demographic and clinical information.

Healthcare 52

Healthcare Documentation Data Quality Data Architecture 52

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.

Data Quality 52

Data Quality Monitoring Artificial Intelligence Government 52

Astera

MAY 9, 2023

Data processing involves transforming raw data into valuable information for businesses. Generally, data scientists process data, which includes collecting, organizing, cleaning, verifying, analyzing, and converting it into readable formats such as graphs or documents. Try it Now!

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 52

Tableau

SEPTEMBER 23, 2021

Unclear change management process: There’s little or no formality around what happens when a data source changes. How should this be documented and communicated? No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to?

Data Governance 101

Data Governance Government Data Quality Change Management 101

Astera

JANUARY 2, 2024

Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place. But what exactly is data management? What Is Data Management? As businesses evolve, so does their data.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Tableau

SEPTEMBER 23, 2021

Unclear change management process: There’s little or no formality around what happens when a data source changes. How should this be documented and communicated? No single source of truth: There may be multiple versions or variations of similar data sets, but which is the trustworthy data set users should default to?

Data Governance 97

Data Governance Government Data Quality Change Management 97

Business Analysis Knowledge Share

APRIL 20, 2023

Data dictionaries are an essential part of managing and organizing data. A data dictionary is a document that contains a list of all the data elements used in a particular system, application, or database. This can save time and reduce errors associated with manual data entry.

Data Quality 52

Data Quality Documentation Business Analysis Business Analysis 52

Astera

JULY 11, 2024

These often lack proper documentation and require specialized knowledge to maintain and update. Example: An inventory management system developed in-house for a manufacturing company. Data Management Legacy systems might not support modern data backup and recovery solutions, increasing the risk of data loss.

IBM Maintenance 40

IBM Maintenance IBM Support IBM cost Supply Chain 40

Juice Analytics

MAY 19, 2021

Where else to get started : Quanthub offers an adaptive educational platform focused on building data skills in your organization. Shared Definitions and Terminology You want everyone in your organization to know what is meant by the data being shared. Link to it when you present data in a dashboard, report, or data story.

Master Data Management 59

Master Data Management Documentation Data Requirement Data Management 59

Astera

APRIL 24, 2024

It helps establish policies, assign roles and responsibilities, and maintain data quality and security in compliance with relevant regulatory standards. The framework, therefore, provides detailed documentation about the organization’s data architecture, which is necessary to govern its data assets.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

JUNE 4, 2024

Key Features of Data Catalog Inventory of All Data Assets The data catalog encompasses structured data (e.g., relational databases), semi-structured data (e.g., JSON, XML), and even unstructured data (e.g., text documents, images, and videos).

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Sisense

AUGUST 21, 2020

In a similar way, the forthcoming “Explanations” feature provides users with possible drivers of the movements in the data automatically, using knowledge graphs to go beyond the boundaries of their charts. Trend 5: Augmented data management.

Data Modelling 112

Data Modelling Supply Chain Decision Modelling Visualization 112

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 Does a Data Catalog Work? How to Build a Data Catalog?

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

JULY 8, 2024

These tools typically offer features for: Designing and building APIs: Define API endpoints, data models, request/response structures, and authentication mechanisms. Documentation generation: Automatically generate clear and comprehensive API documentation for developers integrating with API.

Documentation 52

Documentation Monitoring Visualization Government 52

Astera

JUNE 3, 2024

So, whether you’re checking the weather on your phone, making an online purchase, or even reading this blog, you’re accessing data stored in a database, highlighting their importance in modern data management. These databases are suitable for managing semi-structured or unstructured data.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

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

OCTOBER 31, 2023

Enhancing Data Consumption Data preparation makes data more consumable by providing metadata and documentation that ensure transparency and usability. It also shares data through APIs, web services, files, or databases, making it accessible to diverse users and applications. Consistency. Timeliness.

Data Quality 52

Data Quality Documentation Data Warehouse Data Governance 52

Astera

AUGUST 29, 2024

It involves: Assessing the Data Landscape: Identifying and documenting data sets, sources, systems, formats, and quality across both organizations. Assessment includes understanding data ownership, usage, and dependencies. Governance policies include developing data quality standards and metrics. Request a Demo

Data Governance 52

Data Governance Data Warehouse Data Quality Government 52

MindsMapped

JULY 21, 2020

Discovery workshops must define scope, epics, features, Definition Of Ready , Definition Of Done , solution architecture, and foundational solution design. We need to ensure the solution is well understood, documented, delivers on prioritized requirements, and ultimately approved by the business.

Requirements Gathering 54

Requirements Gathering Vision Agile Documentation 54

Astera

MAY 14, 2024

Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Examples include actions (such as data cleaning steps), tools used, tests performed, and lineage (data source).

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

JUNE 12, 2024

Data Governance Data lineage, data provenance , and data governance are all crucial concepts in data management, but they address different aspects of handling data. Data Governance establishes framework, policies, and processes for managing data assets within an organization.

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Data Pine

JANUARY 6, 2022

Through the art of streamlined visual communication, data dashboards permit businesses to engage in real-time and informed decision-making and are key instruments in data interpretation. First of all, let’s find a definition to understand what lies behind data interpretation meaning.

Visualization 98

Visualization Data Visualization Digital Monitoring 98

Astera

NOVEMBER 1, 2023

Regulatory Landscape and Compliance Requirements in Financial Services Data governance and compliance are related but distinct concepts. Organizations must navigate regulations related to data privacy, data protection, information security, and reporting standards.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

AUGUST 30, 2024

Access our solution virtually and instantly 5 Best Practices for a Successful On-Premise to Cloud Migration The success of your migration will depend on your expected outcomes, so there’s no definitive guide for it. Once the migration is complete, you can verify data integrity by conducting a data validation check.

Data Governance 52

Data Governance Government Data Quality Documentation 52

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

What is Data Integration? Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Data Pine

JANUARY 24, 2021

Additionally, you want to clarify these questions regarding data analysis now or as soon as possible – which will make your future business intelligence much clearer. If there are extreme discrepancies, there is something clearly wrong, but if the results turn accurate, then you have established a healthy data-environment.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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. The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Whizlabs

JUNE 8, 2021

You will initially need the skills of a data architect who will be designing the entire framework of data management for your organization. Following that, you will need data engineers to build that designed framework and bring the data pipelines into action for deriving business value out of collected data.

Big Data 52

Big Data Monitoring Data Analytics Data Analytics 52

Astera

FEBRUARY 27, 2024

The data warehouse schema sets the rules, defining the structure with tables, columns, keys, and relationships. It doesn’t just store data but also metadata like data definitions, sources, lineage, and quality insights. It also simplifies data management and maintenance, reducing the risk of errors and conflicts.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52