Jet Global

FEBRUARY 5, 2019

It’s hard to answer that question because, truth be told, you don’t know you’re using bad data until it’s too late. . states that about 40 percent of enterprise data is either inaccurate, incomplete, or unavailable. Because bad data is the reason behind poor analytics. . Top 5 Warning Signs of Bad Data. Ted Friedman.

Data Quality 69

Data Quality Data Warehouse Business Intelligence Data Governance 69

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 . Another option is a data warehouse, which stores processed and refined data. Intel® Technologies Move Analytics Forward.

Analytics 115

Analytics Key Performance Indicator Data Warehouse Data-driven 115

Octopai

DECEMBER 12, 2021

Metadata management tools help you understand a data asset’s current status, history, and context, and discover how best to use it for the benefit of your organization. Metadata Management is a Strategic Data Imperative Learn why in our white paper which dives deep into the topic Download the White Paper.

Metadata 93

Metadata Management Data Quality Data Governance 93

Jet Global

JANUARY 17, 2019

This will give your data the accurate and dependable foundation for analytics, allowing you to make meaningful decisions from the right data. How MDM Can Prepare Your Data for BI. While your Dynamics ERP system does a great job at collecting data, you should always have a strategy in place to manage it all.

Business Intelligence 75

Business Intelligence Management Data Warehouse Data Governance 75

Alation

JANUARY 25, 2022

And leaders are recognizing the value of a strong data foundation. Indeed, the foundation of your data architecture and strategy – and thus your business strategy – begins with choosing the best data catalog to support your business. But how do you go about selecting the right data catalog?

Metadata 52

Metadata IT Metrics Data-driven 52

CIO Business Intelligence

JANUARY 20, 2023

Blocking the move to a more AI-centric infrastructure, the survey noted, are concerns about cost and strategy plus overly complex existing data environments and infrastructure. 2] Foundational considerations include compute power, memory architecture as well as data processing, storage, and security.

Analytics 137

Analytics Key Performance Indicator Unstructured Data IoT 137