erwin

JULY 12, 2019

The complexity of regulatory requirements in and of themselves is aggravated by the complexity of the business and data landscapes within most enterprises. Creating and automating a curated enterprise data catalog , complete with physical assets, data models, data movement, data quality and on-demand lineage.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Ontotext

SEPTEMBER 1, 2023

Enterprises worldwide are analyzing Generative AI capabilities and seeking ways to leverage them for a variety of use cases to improve their competitive edge and incorporate automation and efficiency. To avoid this, enterprises should consider: A comprehensive data strategy: to align data and AI initiatives with business objectives.

Risk 52

Risk Modeling Data Quality Data Governance 52

DataRobot Blog

MAY 26, 2022

What are some steps that the modeler/validator must take to evaluate the model and ensure that it is a strong fit for its design objectives? Evaluating ML models for their conceptual soundness requires the validator to assess the quality of the model design and ensure it is fit for its business objective. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Source: Cloudera.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

NOVEMBER 23, 2021

Detach the governance system from systems used to consume data, thereby decreasing its operational relevance. End up spinning out big-bang projects that too often spiral out of control and fail to deliver on business objectives. Organizations don’t need to spend a lot of money to get data governance. Elevates the Experts.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52