Precisely

JANUARY 17, 2023

As they do so, access to traditional and modern data sources is required. Poor data quality and information silos tend to emerge as early challenges. Customer data quality, for example, tends to erode very quickly as consumers experience various life changes.

Data Quality 97

Data Quality Machine Learning Machine Learning Data Silos 97

Precisely

SEPTEMBER 8, 2023

For data teams, that often leads to a burgeoning inbox of new projects, as business users throughout the organization strive to discover new insights and find new ways of creating value for the business. In the meantime, data quality and overall data integrity suffer from neglect.

Data Governance 52

Data Governance Data Quality Data Silos Big Data 52

Alation

JULY 6, 2021

Auto-tracked metrics guide governance efforts, based on insights around data quality and profiling. This empowers leaders to see and refine human processes around data. Deeper knowledge of how data is used powers deeper understanding of the data itself. Siloed Data. Silos arise for a range of reasons.

Data Governance 52

Data Governance Data Quality Data Silos Data Profiling 52

Alation

MARCH 28, 2023

A system that recognises certain people as accountable for curating and stewarding data helps ensure all people who access this data can trust it. Central to this is a culture where decisions are made based solely on data, rather than gut feel, seniority, or consensus.

Data Silos 52

Data Silos Cloud Data Data Quality Data Governance 52

Pickl AI

APRIL 14, 2023

Components of a Data Governance Framework A typical Data Governance framework consists of the following: Policies Rules Processes Organizational structures Technologies It also encompasses Data Governance software that will be used to automate the process and manage the governance program.

Data Governance 52

Data Governance Data Quality Analytics Analytics 52