Astera

FEBRUARY 1, 2024

Data modeling is the process of structuring and organizing data so that it’s readable by machines and actionable for organizations. In this article, we’ll explore the concept of data modeling, including its importance, types , and best practices. What is a Data Model?

Data Modelling 40

Data Modelling Retail Documentation Visualization 40

Sisense

APRIL 16, 2019

A trend now recognized by Gartner in their 2018 Critical Capabilities for Analytics and Business Intelligence Platforms report, more and more organizations see the value in providing their customers with analytics. Typically Best for: Tenants with identical data models and dashboard requirements. What’s The Right Choice?

Embedded Analytics 74

Embedded Analytics Data Modelling Data Security Change Management 74

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively.

Agile 52

Agile Data Warehouse Data Quality Government 52

Sisense

OCTOBER 28, 2019

We all want to make things that leave a mark, no matter if it’s in our personal lives or in business. This desire absolutely weighs heavily on the minds of the people who work with business intelligence and analytics platforms. Gerimedica empowers healthcare providers by embedding analytics into its product.

Healthcare 63

Healthcare Embedded Analytics Data Discovery Government 63

Data Pine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Astera

JUNE 8, 2023

Data Integrity and Concurrency Control: Oracle ensures data integrity through constraints, triggers, and advanced concurrency control techniques. Data Analytics and Business Intelligence: Oracle supports powerful data analytics and business intelligence, enabling robust analysis, reporting, and decision-making.

Documentation 52

Documentation Cloud Computing Data Security Data Warehouse 52

Bridging the Gap

MARCH 9, 2023

A business analyst in this type of role will use techniques such as business process analysis to understand the business workflow and the problem to be solved. And they’ll use a variety of data modeling techniques to define how information is stored and flows through various systems.

Skillset 98

Skillset Business Analysis Business Analysis Project Management 98

Astera

APRIL 7, 2023

In the world of medical services, large volumes of healthcare data are generated every day. Currently, around 30% of the world’s data is produced by the healthcare industry and this percentage is expected to reach 35% by 2025. The sheer amount of health-related data presents countless opportunities.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Astera

MAY 13, 2024

Government: Using regional and administrative level demographic data to guide decision-making. Healthcare: Reviewing patient data by medical condition/diagnosis, department, and hospital. Some of these features include reporting tools, dashboards, and data modeling.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Sisense

JULY 8, 2020

Analytics and data are changing every facet of our world. In The State of Analytics and BI , we expand on our original research, keeping you ahead of the curve on the world of analytics, data, and business intelligence. This is a big win for taking the pressure off our professional services team.”.

Enterprise Innovation 107

Enterprise Innovation Innovation Healthcare Data Modelling 107

Data Pine

DECEMBER 28, 2021

In the digital age, these capabilities are only further enhanced and harnessed through the implementation of advanced technology and business intelligence software. Statistics are infamous for their ability and potential to exist as misleading and bad data. 2) Examples of misleading statistics in healthcare.

Digital 145

Digital Healthcare Data Visualization Data Mining 145

Astera

APRIL 24, 2024

Business analysts, data scientists, IT professionals, and decision-makers across various industries rely on data aggregation tools to gather and analyze data. Essentially, any organization aiming to leverage data for competitive advantage will benefit from data aggregation tools.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Insight Software

MAY 1, 2023

Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. Embedded Analytics Definition Embedded analytics are the integration of analytics content and capabilities within applications, such as business process applications (e.g., that gathers data from many sources.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

SEPTEMBER 26, 2023

She previously held roles at Vista Equity Partners and served as SVP of Business Operations at Mediaocean. Peter van Tiggelen, CFO, FE fundinfo: Joining FE fundinfo in February 2022, van Tiggelen oversees finance, legal, and business intelligence.

IBM Support 52

IBM Support Finance IBM cost Supply Chain 52