datapine

MAY 29, 2019

In this post, we will explain the definition, connection, and differences between data warehousing and business intelligence , provide a BI architecture diagram that will visually explain the correlation of these terms, and the framework on which they operate. What Is Data Warehousing And Business Intelligence?

Business Intelligence 196

Business Intelligence Data Warehouse Dashboards Visualization 196

FineReport

FEBRUARY 5, 2020

Nowadays, the business intelligence market is heating up. Both the investment community and the IT circle are paying close attention to big data and business intelligence. Metadata management. It also includes some processed data, such as KPI, personal sales, single product sales and other data. In the end.

Metadata 98

Metadata Dashboards Informatics Visualization 98

AWS Big Data

JUNE 14, 2023

We were frustrated by the limitations of our previous business intelligence (BI) solution, which was holding us back from our vision to accelerate data sharing, team collaboration, and security within Amazon. This framework can be described as follows: Findable – Metadata and data should be easy to find for both humans and computers.

Dashboards 78

Dashboards KPI Scorecard Metadata 78

erwin

APRIL 29, 2020

These tools range from enterprise service bus (ESB) products, data integration tools; extract, transform and load (ETL) tools, procedural code, application program interfaces (API)s, file transfer protocol (FTP) processes, and even business intelligence (BI) reports that further aggregate and transform data. Who are the data owners?

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

FineReport

NOVEMBER 17, 2021

It was an American interactive data visualization software company of business intelligence. Tableau : There are specialized modules to manage metadata. Power BI, an open-source alternative to tableau, creates amazing data experiences, with memorable reports personalized with your KPI s and brand. Data Management.

KPI 52

KPI Dashboards Metadata Data Warehouse 52

Rita Sallam

APRIL 2, 2023

We need to balance multiple KPI such as ‘lives affected’ vs. ‘economic impact of the floods’ as well as stay within relevant budgets. Metadata management goes beyond technical metadata and even combining that with business metadata when it infers or anticipates new users of recently introduced data assets.

Optimization 52

Optimization Machine Learning Insurance Risk 52

AWS Big Data

AUGUST 14, 2023

Acts as steering body for the governance of DPPM as a practice (KPI monitoring, maturity assessments, auditing, and so on). Key deliverables include a registry of demand against new or existing data products, including metadata on source systems, attributes, known use cases, proposed data product owners, and suggested organizational priority.

Management 81

Management Risk Measurement Optimization 81