CIO Business Intelligence

MAY 8, 2024

In the age of big data, where information is generated at an unprecedented rate, the ability to integrate and manage diverse data sources has become a critical business imperative. Traditional data integration methods are often cumbersome, time-consuming, and unable to keep up with the rapidly evolving data landscape.

Data Integration 101

Data Integration IoT Cost-Benefit Machine Learning 101

CIO Business Intelligence

DECEMBER 20, 2024

Shared data assets, such as product catalogs, fiscal calendar dimensions, and KPI definitions, require a common vocabulary to help avoid disputes during analysis. Curate the data. Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures.

Data Architecture 121

Data Architecture Management Consulting Internet of Things 121

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

AWS Big Data

JULY 29, 2024

This ensures that each change is tracked and reversible, enhancing data governance and auditability. History and versioning : Iceberg’s versioning feature captures every change in table metadata as immutable snapshots, facilitating data integrity, historical views, and rollbacks.

Metadata 126

Metadata Snapshot Data Lake Metrics 126

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. Success factors for data governance.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

Cloudera

AUGUST 21, 2021

Cloudera’s customers in the financial services industry have realized greater business efficiencies and positive outcomes as they harness the value of their data to achieve growth across their organizations. Data enables better informed critical decisions, such as what new markets to expand in and how to do so.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

FineReport

APRIL 21, 2024

The increasing adoption of cloud-based technologies is resulting in the migration of BI tools to SaaS platforms, marking a pivotal shift towards cloud-based data analysis. However, SaaS BI tools address this challenge by offering user-friendly interfaces that simplify the process of data preparation, modeling, and analysis.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52