The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. For example, accurate data processing for ATMs or online banking. Predictive Analytics.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

OCTOBER 30, 2019

It can be annual reports, monthly sales reports, accounting reports , reports requested by management exploring a specific issue, reports requested by the government showing a company’s compliance with regulations, progress reports, and feasibility studies. Historically, creating these business data reports was time and resource-intensive.

Visualization 51

Visualization Retail Data Visualization Government 51

Astera

OCTOBER 27, 2023

What’s more, they come with access control features to ensure that the data required for BI is only visible to the relevant personnel. Interestingly, even though multiple employees may be accessing the data warehouse simultaneously, data integrity remains intact.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

OCTOBER 19, 2023

An agile tool that can easily adopt various data architecture types and integrate with different providers will increase the efficiency of data workflows and ensure that data-driven insights can be derived from all relevant sources. Adaptability is another important requirement.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

NOVEMBER 1, 2023

A data warehouse may be the better choice if the business has vast amounts of data that require complex analysis. Data warehouses are designed to handle large volumes of data and support advanced analytics, which is why they are ideal for organizations with extensive historical data requiring in-depth analysis.

Data Warehouse 40

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

Astera

JANUARY 23, 2024

Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. Traditional data warehouses with predefined data models and schemas are rigid, making it difficult to adapt to evolving data requirements.

Agile 52

Agile Data Warehouse Data Quality Government 52

Insight Software

MAY 1, 2023

Content creators want a managed experience where they can query governed data sources, create dashboards and reports, and share what they’ve created with colleagues. Data analysts need a self-directed experience. They start with a blank canvas and connect to their own data sources. Web Services Included are REST APIs.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52