IBM Journey to AI blog

MAY 9, 2024

The healthcare industry faces arguably the highest stakes when it comes to data governance. For starters, healthcare organizations constantly encounter vast (and ever-increasing) amounts of highly regulated personal data. healthcare, managing the accuracy, quality and integrity of data is the focus of data governance.

Data Governance 85

Data Governance Data Silos Data Quality Predictive Analytics 85

Dataconomy

SEPTEMBER 4, 2023

Predictive analytics: Predictive analytics leverages historical data and statistical algorithms to make predictions about future events or trends. For example, predictive analytics can be used in financial institutions to predict customer default rates or in e-commerce to forecast product demand.

Analytics 203

Analytics Analytics Big Data Analytics Big Data Analytics 203

Dataconomy

DECEMBER 17, 2024

Example: For a project to optimize supply chain operations, the scope might include creating dashboards for inventory tracking but exclude advanced predictive analytics in the first phase. Define data needs : Specify datasets, attributes, granularity, and update frequency. Key questions to ask: What data sources are required?

Data Quality 91

Data Quality Power BI Data Engineering Data Engineer 91

IBM Journey to AI blog

JUNE 29, 2023

Data integration and automation To ensure seamless data integration, organizations need to invest in data integration and automation tools. These tools enable the extraction, transformation, and loading (ETL) of data from various sources.

Analytics 94

Analytics Analytics Business Intelligence Business Intelligence 94

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike. The Rise of Regulation.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

OCTOBER 10, 2024

Support for Advanced Analytics : Transformed data is ready for use in Advanced Analytics, Machine Learning, and Business Intelligence applications, driving better decision-making. Using data transformation tools is key to staying competitive in a data-driven world, offering both efficiency and reliability.

Data Quality 52

Data Quality AWS Machine Learning Machine Learning 52

phData

APRIL 18, 2023

Snowflake enables organizations to instantaneously scale to meet SLAs with timely delivery of regulatory obligations like SEC Filings, MiFID II, Dodd-Frank, FRTB, or Basel III—all with a single copy of data enabled by data sharing capabilities across various internal departments.

Data Silos 52

Data Silos ETL Clustering Analytics 52