Sisense

JUNE 26, 2019

We have often talked about the single-stack approach to business analytics, and with the complexity of enterprise data, this approach makes even more sense. . You want to make sure you have one place to bring in all your data and do your data modeling. Now Go Hybrid. This is the best of both worlds.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75

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

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

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 Quality 102

Data Quality Government Artificial Intelligence Data Warehouse 102

Sisense

JANUARY 6, 2021

Nasdaq Investor Relations uses Sisense to infuse interactive reporting into its core offering, enabling customers to dissect and manipulate their data in innovative and impressive ways via white-label reports and dashboards. Horsepower under the hood.

Innovation 119

Innovation Visualization Data Visualization Product Management 119

Sisense

MARCH 18, 2019

For starters, we have data in multiple data sources and we didn’t want to refactor our databases and existing workflows just to launch our analytics solution. Added to that, each customer also has slight variations in their data model (variations coming from their single-tenant database) that had to be incorporated into the solution.

Embedded Analytics 71

Embedded Analytics Data Modelling Monitoring Logistics 71

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 Quality 98

Data Quality Government Artificial Intelligence Data Warehouse 98

Whizlabs

APRIL 24, 2021

Components of Power BI include: Power Query which is a tool which combines and enhances data from different sources. . Power Pivot is a data modelling tool offered by Power BI through which you can make models out of your base. . Power View is a tool that specializes in the visualization of your data.

Visualization 98

Visualization Business Intelligence Business Intelligence Information Technology 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

APRIL 7, 2023

For example, by accessing relevant data at the right time, providers can improve patient outcomes through timely treatment, reduce operational costs by focusing more on decision-making, and increase customer satisfaction. In 2020 alone, healthcare data breaches in the U.S. reached 599, seeing a 55% increase from 2019.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Sisense

JULY 6, 2020

Data architecture creates instructions that guide you through the data collection, integration, and transformation processes, as well as data modeling. Data security is also a part of this field. Data Warehousing and BI represent the analytical core of an EDM system.

Data Management 98

Data Management Data Architecture Data Governance Government 98

Astera

MAY 25, 2023

Finally, we’ll discuss why Astera Centerprise is the ultimate tool for managing your data regardless of which database you decide to use. PostgreSQL is an open-source database system that offers extensive data model flexibility. It allows users to have greater control when designing their data model for complex queries.

E-Commerce 52

E-Commerce Data Security Data Modelling Big Data 52

Marutitech

NOVEMBER 13, 2020

Offers declarative data modeling. Offer various functionalities such as deployment settings, app preview, deployment logs, and data models. Robust data security and synchronization. And needless to say, it effortlessly connects with G Suite APIs. Features: Features a drag-and-drop user interface.

Visualization 98

Visualization User Experience Documentation Agile 98

Astera

FEBRUARY 28, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Argon Digital

JUNE 7, 2023

Complex Data Model: Documentum employs a complex data model that can differ significantly from modern content management systems. Security and Compliance: Legacy systems might lack the robust security measures and compliance standards expected in modern software solutions.

Data Modelling 52

Data Modelling Planning Data Security 52

Astera

AUGUST 30, 2024

Data Migrations Made Efficient with ADP Accelerator Astera Data Pipeline Accelerator increases efficiency by 90%. Try our automated, data model-driven solution for fast, seamless, and effortless data migrations. Automate your migration journey with our holistic, data model-driven solution.

Data Governance 52

Data Governance Government Data Quality Documentation 52

Astera

SEPTEMBER 1, 2023

In addition, data warehousing helps improve other data management aspects, including: Data Security: Centralizing data in a data warehouse enables the implementation of robust security measures, ensuring that sensitive information is appropriately protected.

Data Warehouse 40

Data Warehouse Data Modelling Data Quality Data Security 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

APRIL 24, 2024

Many organizations face challenges with inaccurate, inconsistent, or outdated data affecting insights and decision-making processes. The data governance framework enhances the quality and reliability of the organization’s data. Assessing Data Security a.

Data Governance 52

Data Governance Government Data Architecture Data Quality 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

These systems can be part of the company’s internal workings or external players, each with its own unique data models and formats. ETL (Extract, Transform, Load) process : The ETL process extracts data from source systems to transform it into a standardized and consistent format, and then delivers it to the data warehouse.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

NOVEMBER 1, 2023

Faster Decision-Making: Quick access to comprehensive and reliable data in a data warehouse streamlines decision-making processes, which enables financial organizations to respond rapidly to market changes and customer needs.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Actian

OCTOBER 7, 2019

IT staff are challenged to implement them quickly, integrate them into enterprise data models and ensure the frictionless flow of information while simultaneously maintaining data security and integrity. Data hubs excel at the third-party integration challenge.

Data Warehouse 10

Data Warehouse Government Data Governance Agile 10

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

Astera

SEPTEMBER 20, 2024

NoSQL Databases: NoSQL databases are designed to handle large volumes of unstructured or semi-structured data. Unlike relational databases, they do not rely on a fixed schema, providing more flexibility in data modeling. This global presence ensures consistent and efficient data retrieval regardless of location.

Data Warehouse 40

Data Warehouse Cloud Computing E-Commerce Documentation 40

Astera

JANUARY 2, 2024

Data Governance Data governance provides strategic oversight and a framework to ensure that data is treated as a valuable asset and managed in a way that aligns with organizational goals and industry best practices. It ensures data quality, consistency, and compliance with regulations.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 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

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

Actian

NOVEMBER 26, 2019

This leaves IT departments with the challenge of accepting the disparate nature of data sources and somehow figuring out how to aggregate and reconcile them into a unified data model and data warehouse solution. Data Connections and Hybrid Operating Environments – Each Has Their Management Challenges.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Digital 8

Astera

MAY 21, 2024

They’re the blueprint that defines how a database stores and organizes data, its components’ relationships, and its response to queries. Database schemas are vital for the data modeling process. Well-designed database schemas help you maintain data integrity and improve your database’s effectiveness.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Whizlabs

APRIL 26, 2021

Power Map- It is enabled for the users to create streamlined 3D visualizations of the obtained data or insights. Power Pivot- This app is dedicated to the creation of separate data models for making the data more insightful. Conclusion.

Visualization 52

Visualization Data Security Data Modelling Business Intelligence 52

Actian

OCTOBER 7, 2019

IT staff are challenged to implement them quickly, integrate them into enterprise data models and ensure the frictionless flow of information while simultaneously maintaining data security and integrity. Data hubs excel at the third-party integration challenge.

Data Warehouse 40

Data Warehouse Government Data Governance Agile 40

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

JANUARY 24, 2024

If your Reverse ETL tool prioritizes sync reliability and robustness, you can rest easy knowing that your data will be synchronized regardless of any technical difficulties or other issues that may arise. Also look for data protection measures such as encryption for optimum security.

Data Warehouse 52

Data Warehouse Data Quality Data Management Data Security 52

Astera

AUGUST 16, 2024

If organizations don’t refactor their data access and governance during the migration, users can find it difficult to access data, which can lead to a loss of productivity. Data security can be another challenge when migrating unstructured data. Integration Issues Modern data stacks have numerous integrations.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Domo

OCTOBER 22, 2021

Such an offering can also simplify and integrate data management on a massive scale—whether that data lives on premises or in cloud environments—and be used to develop an enterprise-wide data modeling process.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 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