Dataversity

DECEMBER 11, 2023

Organizations learned a valuable lesson in 2023: It isn’t sufficient to rely on securing data once it has landed in a cloud data warehouse or analytical store. As a result, data owners are highly motivated to explore technologies in 2024 that can protect data from the moment it begins its journey in the source systems.

Data Governance 278

Data Governance Government Data Warehouse Data Quality 278

Dataversity

MAY 28, 2024

Most enterprises today store and process vast amounts of data from various sources within a centralized repository known as a data warehouse or data lake, where they can analyze it with advanced analytics tools to generate critical business insights.

Data Warehouse 130

Data Warehouse Data Architecture Data Security Cybersecurity 130

Domo

JULY 23, 2024

Despite advancements in data engineering and predictive modeling, chief information officers (CIOs) face the tough challenge of making data accessible and breaking down silos that hinder progress. This fragmentation creates “BI breadlines,” where data requests pile up and slow down progress.

Data Warehouse 52

Data Warehouse Data Security Data Architecture Government 52

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

ElegantJ BI

SEPTEMBER 30, 2021

When a business enters the domain of data management, it is easy to get lost in a flurry of promises, brochures, demos and the promise of the future. In this article, we will present the factors and considerations involved in choosing the right data management solution for your business. Data Volume, Transformation and Location.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Sisense

JULY 14, 2019

If you just felt your heartbeat quicken thinking about all the data your company produces, ingests, and connects to every day, then you won’t like this next one: What are you doing to keep that data safe? Data security is one of the defining issues of the age of AI and Big Data. Empowering Admins.

Data Security 75

Data Security Data Modelling Documentation Cybersecurity 75

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. Data strategy and management roadmap: Effective management and utilization of information has become a critical success factor for organizations.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

JANUARY 29, 2024

As we approach Data Privacy Day on January 28th, it’s crucial to recognize the significance of enterprise data privacy in our increasingly digital world. Data privacy is a fundamental aspect that businesses, especially those dealing with vast amounts of data, must ensure to protect sensitive information.

Government 145

Government Data Warehouse Data Governance Artificial Intelligence 145

Analysts Corner

OCTOBER 26, 2023

Mastering Business Intelligence: Comprehensive Guide to Concepts, Components, Techniques, and Examples Introduction to Business Intelligence In today’s data-driven business environment, organizations must leverage the power of data to drive decision-making and improve overall performance. What is Business Intelligence?

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

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

Actian

JULY 26, 2019

So, you have made the business case to modernize your data warehouse. But how do you effectively go about choosing the right data warehouse to migrate to? Should you stay with your existing traditional data warehouse provider as they try to convince you to stay on-premise with their latest appliance?

Data Warehouse 40

Data Warehouse Government Predictive Analytics Banking 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

Smart Data Collective

JANUARY 22, 2020

The movement towards cloud technologies is perceived as an undoubtedly positive trend that facilitates all aspects of human interaction with information systems. Although cloud computing today is no longer a new technology, issues of ensuring data security represents a relevant point for users worldwide. Data Security.

Cloud Computing 147

Cloud Computing Data Security Data Warehouse Documentation 147

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

Astera

FEBRUARY 9, 2024

Data Quality : Credit institutions should have internally established quality and reliability standards on data (historical, current, and forward-looking information) used as model inputs. Astera’s Data Destinations can be critical in setting up the credit risk assessment pipelines. Transformation features.

Banking 52

Banking Data Warehouse Data Quality Data Security 52

BizAcuity

AUGUST 1, 2022

Popular companies that leverage JasperSoft enterprise BI suite include Lufthansa Systems, Iron Mountain, and DATA Inc. Data Security. Good: Self-service capability, ability to work with big data, users can build their own data mart or warehouse. Source: [link] ]. Source: [link] ]. TIBCO JasperSoft Features.

IBM Support 130

IBM Support IBM cost IBM Maintenance Big Data 130

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. 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.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Smart Data Collective

FEBRUARY 20, 2022

DAM takes it a step further by logging all user actions, including views of confidential information. For instance, extensive access control is one of the features that emerged in the course of DAM evolution, allowing you to find out who viewed specific data. Stopping insiders in their tracks.

Monitoring 299

Monitoring E-Commerce Data Warehouse Data Security 299

Astera

MARCH 30, 2023

It is an integral aspect of data management within an organization as it enables the stakeholders to access and utilize relevant data sets for analysis, decision making, and other purposes. It involve multiple forms, depending on the requirements and objectives of stakeholders.

Data Quality 52

Data Quality Data Warehouse Data Security Finance 52

Astera

NOVEMBER 30, 2023

Building upon the strengths of its predecessor, Data Vault 2.0 elevates data warehouse automation by introducing enhanced scalability, agility, and adaptability. It’s designed to efficiently handle and process vast volumes of diverse data, providing a unified and organized view of information. vs Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

OCTOBER 16, 2023

Data migration centralizes this dispersed data, making it easier to manage, access, and analyze. Compliance and Security: Organizations must comply with data protection regulations and ensure data security. Matillion Stitch Hevo Data 1.

Data Warehouse 40

Data Warehouse Data Quality Data Security Visualization 40

Astera

JUNE 3, 2024

Database definition A database is a structured collection of data designed to store, manage, and retrieve information. In a database, also denoted as DB, data is normally arranged within tables, defined by rows and columns, like a spreadsheet layout that facilitates data organization.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

NOVEMBER 28, 2023

For instance, they can extract data from various sources like online sales, in-store sales, and customer feedback. They can then transform that data into a unified format, and load it into a data warehouse. Facilitating Real-Time Analytics: Modern data pipelines allow businesses to analyze data as it is generated.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Sisense

APRIL 26, 2020

A data’s “structure” refers to a particular way of organizing and storing it in a database or warehouse so that it can be accessed and analyzed. Different types of information are more suited to being stored in a structured or unstructured format. Structured vs unstructured data.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Enforces data quality standards through transformations and cleansing as part of the integration process. Use Cases Use cases include data lakes and data warehouses for storage and initial processing. Use cases include creating data warehouses, data marts, and consolidated data views for analytics and reporting.

Data Warehouse 52

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

Astera

JUNE 6, 2023

These architectures are designed to handle massive datasets by utilizing distributed computing frameworks like Apache Hadoop and Apache Spark, along with employing parallel processing and data partitioning techniques. ETL architectures ensure data integrity and enable organizations to derive valuable insights for decision-making.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Astera

JULY 13, 2023

Without a systematic approach to data preparation of these diverse data sets, valuable insights can easily slip through the cracks, hindering the company’s ability to make informed decisions. That is where data integration and data consolidation come in.

Data Warehouse 40

Data Warehouse Data Quality Data Governance Master Data Management 40

Astera

APRIL 3, 2023

While this wealth of data can help uncover valuable insights and trends that help businesses make better decisions and become more agile, it can also be a problem. Data silos are a common issue, where data is stored in isolated repositories that are incompatible with one another.

IBM Maintenance 52

IBM Maintenance IBM cost Data Security IBM Support 52

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

ElegantJ BI

AUGUST 10, 2016

The need to up-to-date, integrated information and analytical data is crucial to the success of the organization and certainly to the accountants, auditors, financial investment professionals and finance managers in any enterprise. Assure data security for proprietary information, personal user data, customer data, etc.

Data Governance 100

Data Governance Government Finance Business Intelligence 100

Sisense

JUNE 26, 2019

You need to find the right data sets, clean them up, and test out interoperability. But you also need to deliver comprehensible insights, make changes on the fly, and continue to deliver the most up-to-date information from the latest data available. Enterprise companies usually have legacy systems that contain important data.

Data Warehouse 75

Data Warehouse Data Modelling Big Data Monitoring 75