Cloudera

AUGUST 21, 2021

Data enables better informed critical decisions, such as what new markets to expand in and how to do so. It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Customer retention goes hand in hand with customer acquisition in a successful growth strategy.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Jet Global

OCTOBER 7, 2020

For organizations considering a move to Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), or for those in the early stages of an implementation project, defining a clear strategy for curating data is a key to developing a comprehensive approach to reporting and analytics. What Are Data Entities?

Data Warehouse 90

Data Warehouse OLAP Reporting Finance 90

Jet Global

FEBRUARY 20, 2024

As inflation and possible economic stagnation continue to be at the forefront of business leaders’ minds, implementing a digital transformation strategy is a growing way to combat those concerns. 80% of data scientists say they spend 60-80% of their time on data integration instead of actual analysis.

Operational Reporting 52

Operational Reporting Reporting Digital Transformation Optimization 52

Jet Global

FEBRUARY 5, 2024

Data insights that drive business processes: Reduce your carbon emissions with operational reporting software that supports advanced analytics, flexibility, and understanding across your organization through analytical insights from footprint data.

Optimization 52

Optimization Operational Reporting Manufacturing Reporting 52

DataKitchen

MAY 10, 2021

Below we will illustrate the practices and technologies that enable data observability using the DataKitchen DataOps Platform which is specifically built to ease and accelerate the implementation of DataOps data observability. You and your data team can accomplish the same thing at your organization. Tie tests to alerts.

Testing 214

Testing Manufacturing Data Quality Statistics 214

Domino Data Lab

APRIL 3, 2019

The longer answer is that in the context of machine learning use cases, strong assumptions about data integrity lead to brittle solutions overall. Instead, we must build robust ML models which take into account inherent limitations in our data and embrace the responsibility for the outcomes. There are models everywhere.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

MARCH 22, 2022

To companies entrenched in decades-old business and IT processes, data fiefdoms, and legacy systems, the task may seem insurmountable. Develop a strategy to liberate data . Set up unified data governance rules and processes. With data integration comes a requirement for centralized, unified data governance and security.

Analytics 96

Analytics Key Performance Indicator Data Warehouse Data-driven 96