erwin

MARCH 30, 2020

As a result, the data may be compromised, rendering faulty analyses and insights. To marry the epidemiological data to the population data it will require a tremendous amount of data intelligence about the: Source of the data; Currency of the data; Quality of the data; and.

Metadata 122

Metadata IT Data Governance Data Quality 122

Octopai

JANUARY 21, 2020

So you see, OLAP Cube gives BI users capabilities to visualize, total up, and analyze data in multiple dimensions. Then, when the manager or C-Suite calls for a report, the cube information is already there, stored and there’s no need to add or search for the data lineage either. Why is Data Lineage Key to Your Enterprise?

OLAP 56

OLAP Metadata Online Analytical Processing Data Quality 56

DataKitchen

FEBRUARY 21, 2023

Errors have caused the company’s leaders to lose confidence in the data products their team produces. His team often delivers late and manages 70 disjointed independent weekly jobs to ingest, transform, visualize, and deliver results to his customers.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

DataKitchen

MAY 10, 2021

A robust process checks source data and work-in-progress at each processing step along the way to polished visualizations, charts, and graphs. Figure 1: The process of transforming raw data into actionable business intelligence is a manufacturing process. See our white paper, “ A Guide to DataOps Tests ,” for more information.

Testing 214

Testing Manufacturing Data Quality Statistics 214

CDW Research Hub

NOVEMBER 29, 2021

The CompTIA IoT Advisory Council recently published a white paper called The Six Layers of an IoT Solution guide, which breaks down these layers and provides overarching guidance on IoT security to give IT solution practitioners more holistic knowledge of IoT solutions. Layer 5: Data management.

IoT 89

IoT Cost-Benefit Internet of Things ROI 89