Tableau

MAY 11, 2022

If you are tasked with enforcing data management, you can have access to metrics on what data is being used, by whom, and at what frequency to make data source cleanup easier. . Connect and manage disparate data securely. The average enterprise has data in over 800 applications, and just 29% of them are connected.

Data Warehouse 98

Data Warehouse Government Artificial Intelligence Data Discovery 98

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Data integration.

Data Quality 101

Data Quality Government Artificial Intelligence Data Warehouse 101

Tableau

APRIL 18, 2022

Shine a light on who or what is using specific data to speed up collaboration or reduce disruption when changes happen. Data modeling. Leverage semantic layers and physical layers to give you more options for combining data using schemas to fit your analysis. Data preparation. Data integration.

Data Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Astera

JULY 3, 2024

It creates a space for a scalable environment that can handle growing data, making it easier to implement and integrate new technologies. Moreover, a well-designed data architecture enhances data security and compliance by defining clear protocols for data governance.

Data Architecture 40

Data Architecture Data Warehouse Data Governance Government 40

Astera

SEPTEMBER 1, 2023

The significance of data warehousing for insurance cannot be overstated. It forms the bedrock of modern insurance operations, facilitating data-driven insights and streamlined processes to better serve policyholders. The data warehouse has the highest adoption of data solutions, used by 54% of organizations.

Data Warehouse 40

Data Warehouse Data Modelling Data Quality Data Security 40

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Digital 8

Astera

NOVEMBER 30, 2023

With rising data volumes, dynamic modeling requirements, and the need for improved operational efficiency, enterprises must equip themselves with smart solutions for efficient data management and analysis. This is where Data Vault 2.0 It supersedes Data Vault 1.0, What is Data Vault 2.0? Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Actian

OCTOBER 7, 2019

Data hubs also simplify the data governance requirements as the data is persisted at a central location. Data can be transformed and distributed to other endpoints easily, such as cloud data warehouses and analytics BI engines. Data hubs excel at the third-party integration challenge.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

JANUARY 2, 2024

Free Download Here’s what the data management process generally looks like: Gathering Data: The process begins with the collection of raw data from various sources. Once collected, the data needs a home, so it’s stored in databases, data warehouses , or other storage systems, ensuring it’s easily accessible when needed.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

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. It provides multiple security measures for data protection.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. There are several types of NoSQL databases, including document stores (e.g.,

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Actian

OCTOBER 7, 2019

Data hubs also simplify the data governance requirements as the data is persisted at a central location. Data can be transformed and distributed to other endpoints easily, such as cloud data warehouses and analytics BI engines. Data hubs excel at the third-party integration challenge.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

Astera

JUNE 3, 2024

Data warehouses Data warehouses are a specialized type of database designed for a specific purpose: large-scale data analysis. The system determines a user’s role within the organization and their rights for various operations like data retrieval, insertion, updating, and deletion.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

JULY 13, 2023

This process includes moving data from its original locations, transforming and cleaning it as needed, and storing it in a central repository. Data integration can be challenging because data can come from a variety of sources, such as different databases, spreadsheets, and data warehouses.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

JUNE 14, 2023

Ensuring data quality and consistency. Loading/Integration: Establishing a robust data storage system to store all the transformed data. Ensuring data security and privacy. Overcoming these challenges is crucial for utilizing external data effectively and gaining valuable insights.

Procurement 40

Procurement Data Security Monitoring Retail 40

Astera

JUNE 8, 2023

If you’re looking to store large amounts of data securely and access it quickly, then PostgreSQL and Oracle are both great options. Replication and High Availability: PostgreSQL provides built-in replication options for data redundancy and high availability. What Is Oracle?

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

If you’re looking to store large amounts of data securely and access it quickly, then PostgreSQL and Oracle are both great options. Replication and High Availability: PostgreSQL provides built-in replication options for data redundancy and high availability. What Is Oracle?

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

DECEMBER 22, 2022

It’s one of the three core data types, along with structured and semi-structured formats. Examples of unstructured data include call logs, chat transcripts, contracts, and sensor data, as these datasets are not arranged according to a preset data model. This makes managing unstructured data difficult.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

AUGUST 16, 2024

The presence of diverse data assets requires organizations to plan, implement, and validate the source data during migration. Improper planning can lead to data corruption or loss. Data security can be another challenge when migrating unstructured data.

Digital Transformation 52

Digital Transformation Planning Government Cloud Computing 52

Astera

MARCH 28, 2024

Establishing a data catalog is part of a broader data governance strategy, which includes: creating a business glossary, increasing data literacy across the company and data classification. Data Catalog vs. Data Dictionary A common confusion arises when data dictionaries come into the discussion.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MAY 13, 2024

It prepares data for analysis, making it easier to obtain insights into patterns and insights that aren’t observable in isolated data points. Once aggregated, data is generally stored in a data warehouse. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Astera

JANUARY 12, 2024

A solid data architecture is the key to successfully navigating this data surge, enabling effective data storage, management, and utilization. Enterprises should evaluate their requirements to select the right data warehouse framework and gain a competitive advantage.

Data Architecture 52

Data Architecture Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

If the app has simple requirements, basic security, and no plans to modernize its capabilities at a future date, this can be a good 1.0. These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

AUGUST 20, 2024

Its seamless integration into the ERP system eliminates many of the common technical challenges associated with software implementation; unlike other tools that make you customize data models, Jet Reports works directly with the BC data model. This means you get real-time, accurate data without the headaches.

IBM Support 52

IBM Support IBM Maintenance Finance IBM cost 52

Insight Software

MARCH 13, 2024

While Microsoft Dynamics is a powerful platform for managing business processes and data, Dynamics AX users and Dynamics 365 Finance & Supply Chain Management (D365 F&SCM) users are only too aware of how difficult it can be to blend data across multiple sources in the Dynamics environment.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

SEPTEMBER 26, 2023

Their adept problem-solving skills instill confidence in data quality by showcasing the ability to promptly rectify issues. Data Security Strengthening: Users with proper training exhibit a heightened awareness of data security protocols and best practices.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Data Quality 52