ElegantJ BI

SEPTEMBER 30, 2021

Datawarehouses (DWH) typically serve the entire organization and may have several Data Marts combined within the DWH to serve individual business units or departments (see Data Marts below for more information). Suitable For: Large volumes of data, integration of data sources, data sources do not change often.

Data Management 130

Data Management Data Warehouse Government Data Governance 130

Juice Analytics

MARCH 11, 2021

.” -- Jessica Livingston, co-founder of Y Combinator With data products the core question of your user is: What information or insights will let you make better decisions and perform better in your job? Look for those unique situations where indecision, ignorance, or lack of information are blocking smart actions.

Product Management 128

Product Management Product Management Vision Healthcare 128

GAVS Technology

NOVEMBER 5, 2024

Data Loss Prevention (DLP) is a critical security strategy designed to ensure that sensitive or essential information is not transmitted outside the organization’s network. These strategies incorporate a range of tools and software solutions that provide administrative control over the secure transfer of data across networks.

Cybersecurity 52

Cybersecurity Healthcare Monitoring Data Security 52

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

Astera

AUGUST 15, 2023

This holds especially true in the mortgage industry, where highly confidential and personal information is exchanged between multiple parties, including financial institutions, mortgage lenders, borrowers, and government agencies.

Finance 52

Finance Data Security Customer Experience Customer Experience 52

Insight Software

DECEMBER 19, 2019

As one of the first cloud-based ERPs, Oracle’s NetSuite introduced a modern and efficient way to manage operational and financial data. This advance had a significant effect on improving business cycles and easily delivering information to more users. In NetSuite’s case, its applications are separated from the data at the data center.

Finance 59

Finance Real-time Data Data Security Data Requirement 59

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

MARCH 20, 2024

They need a dependable enterprise data management system—a combination of frameworks, programs, platforms, software, and tools—to use data to their advantage. Download this whitepaper and create an end-to-end data management strategy for your business. Data Quality Management Not all data is created equal.

Data Management 52

Data Management Master Data Management Data Quality Data Warehouse 52

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 19, 2024

Establishing guidelines for accessing and using data ensures it is utilized appropriately and ethically. Is the data accurate and reliable? Implementing measures to maintain data integrity ensures that the data is accurate, consistent, and trustworthy. Is the data secure?

Data Governance 52

Data Governance Government Data Quality Monitoring 52

Cprime

NOVEMBER 28, 2023

With their data securely residing in the Cloud and meticulously prepared for any government audits, Code42 is well positioned for the future. The transition has not only met stringent requirements but also allows Code42 to leverage the many benefits of Cloud, such as increased efficiency, collaboration, and scalability.

User Experience 52

User Experience Government Data Security Customer Experience 52

Astera

MAY 25, 2023

MySQL is written in C and C++, it uses Structured Query Language (SQL) to interact with databases and can handle large volumes of data. It’s used by organizations to store information and manipulate data through queries. You can use a SQL server to add, delete or update records, or query the data stored inside it.

Data Warehouse 52

Data Warehouse Data Requirement Finance Data Security 52

Astera

NOVEMBER 1, 2023

Banks, credit unions, insurance companies, investment companies, and various types of modern financial institutions rely on a finance data warehouse to make informed business decisions. This data about customers, financial products, transactions, and market trends often comes in different formats and is stored in separate systems.

Data Warehouse 52

Data Warehouse Finance Data Quality Banking 52

Astera

OCTOBER 19, 2023

Built-in connectivity for these sources allows for easier data extraction and integration, as users will be able to retrieve complex data with only a few clicks. Data Security Data security and privacy checks protect sensitive data from unauthorized access, theft, or manipulation. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

NOVEMBER 28, 2023

These could be to enable real-time analytics, facilitate machine learning models, or ensure data synchronization across systems. Consider the specific data requirements, the frequency of data updates, and the desired speed of data processing and analysis.

Data Warehouse 52

Data Warehouse Monitoring Data Security Healthcare 52

Astera

MAY 21, 2024

Physical Schema A physical schema is the most elaborate of all three schemas, providing the most detailed description of data and its objects — such as tables, columns, views, and indexes. Unlike a logical schema, a physical one offers technical and contextual information. “Date Dimension” contains information on dates.

Documentation 52

Documentation Data Modelling Visualization Data Requirement 52

Astera

APRIL 29, 2024

Why is a Data Governance Strategy Needed? IDC predicts that by 2025, the worldwide volume of data is expected to expand by 163 zettabytes, covering information across physical systems, devices, and clouds. Processing and managing such a large amount of data requires an effective data governance strategy.

Data Governance 52

Data Governance Government IBM Maintenance Data Quality 52

Astera

OCTOBER 12, 2023

Data Preparation: Talend allows users to prepare the data, apply quality checks, such as uniqueness and format validation, and monitor the data’s health via Talend Trust Score. Datameer Datameer is a data preparation and transformation solution that converts raw data into a usable format for analysis.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

NOVEMBER 1, 2023

Finally, the transformed data is loaded into the data warehouse for easy accessibility and analysis. A data warehouse enhances the reliability and accuracy of its information through data cleansing, integration, and standardization. Why Use a Data Warehouse?

Data Warehouse 40

Data Warehouse Real-time Data E-Commerce Data Governance 40

Astera

AUGUST 16, 2024

Lack of Planning Lack of planning around data migration can cost organizations time, resources, and, most importantly, competitive advantage. 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.

Planning 52

Planning Digital Transformation Government Cloud Computing 52

Astera

SEPTEMBER 20, 2023

Additionally, you’ll need to plan your data integration project to ensure data accuracy and timeliness throughout the integration process. Overcoming these challenges often involves using specialized data integration tools that streamline the process and provide a unified, reliable dataset for informed decision-making and analysis.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Additionally, you’ll need to plan your data integration project to ensure data accuracy and timeliness throughout the integration process. Overcoming these challenges often involves using specialized data integration tools that streamline the process and provide a unified, reliable dataset for informed decision-making and analysis.

Data Warehouse 52

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

Astera

JUNE 14, 2023

Once the text is identified, the software uses NLP algorithms to interpret it and extract the necessary data. NLP algorithms analyze the text for patterns and structures, which allow it to identify key pieces of information such as the invoice number, date, amount, and vendor details.

Documentation 40

Documentation Digital Banking Data Security 40

Astera

APRIL 24, 2024

As data variety and volumes grow, extracting insights from data has become increasingly formidable. Processing this information is beyond traditional data processing tools. Automated data aggregation tools offer a spectrum of capabilities that can overcome these challenges.

IBM Support 52

IBM Support IBM cost IBM Maintenance Visualization 52

Astera

JANUARY 12, 2024

Data volume continues to soar, growing at an annual rate of 19.2%. This means organizations must look for ways to efficiently manage and leverage this wealth of information for valuable insights. 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

Aggregated views of information may come from a department, function, or entire organization. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. Who Uses Embedded Analytics?

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52