Domo

APRIL 17, 2024

Connectors take the data stored in separate places (Google, Marketo, Spotify, and Zoom, in this example) and funnel it into Domo, where you can put the data to work. Ali Losa is a database administrator at Regions Bank, and she uses Domo to manage her marketing team’s data.

Banking 129

Banking Data Quality Visualization 129

Astera

MAY 20, 2024

Who created this data? This information helps ensure data quality, transparency, and accountability. This knowledge is particularly valuable in highly regulated industries, such as healthcare or banking, where data trust is essential for compliance. Why is Data Provenance Important?

Data Governance 52

Data Governance Healthcare Government Data Quality 52

Astera

MAY 6, 2024

Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., – Data visualization and simple pattern recognition. Simplifying data visualization and basic analysis. Data mining tools help organizations solve problems, predict trends, mitigate risks, reduce costs, and discover new opportunities.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Argon Digital

OCTOBER 24, 2023

For example, these technologies can analyze market conditions, corporate financial data, and global economic indicators to provide investment suggestions. Hedge funds and investment banks use these insights to make strategic investment decisions, manage risks, and achieve competitive returns.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

The BAWorld

MAY 14, 2024

Key skills for data analyst: Python/R language SQL Excel (pivoting, formulas etc) Machine Learning Statistics Data Mining PowerBI / Tableau / QlikView Problem-Solving Critical Thinking Communication Domain knowledge like finance, e-commerce, banking, healthcare, Insurance etc 6.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Astera

OCTOBER 30, 2023

It allows you to cross-reference, refine, and weave together data from multiple sources to make a unified whole. Elevate Your Data Quality, Zero-Coding Required View Demo Data Enrichment Techniques So how does data enrichment really work? AI-powered auto mapper to easily map your data from sources to destinations.

E-Commerce 40

E-Commerce Talent Acquisition Healthcare Data Quality 40

The BAWorld

APRIL 21, 2021

Data is extracted from an online transaction processing (OLTP) database and other sources, transformed to match the data warehouse schema, and loaded into the target (data warehouse/data hub/data lake) database during the ETL process. The basic process of ETL can be visualized as shown below: Extraction.

Data Warehouse 52

Data Warehouse Data Visualization Business Intelligence Business Intelligence 52