CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee. Prioritize your investments.

Digital Transformation 129

Digital Transformation Strategy Data-driven Data Strategy 129

Alation

MAY 31, 2023

The state of data governance is evolving as organizations recognize the significance of managing and protecting their data. With stricter regulations and greater demand for data-driven insights, effective data governance frameworks are critical. What is a data architect?

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

AWS Big Data

JUNE 29, 2023

With Amazon Redshift, you can analyze your data to derive holistic insights about your business and your customers. In many organizations, one or multiple Amazon Redshift data warehouses run daily for data and analytics purposes.

Data Warehouse 60

Data Warehouse Dashboards Testing Visualization 60

Jim Harris

JANUARY 1, 2016

No matter how uncomfortable these discussions may be at times, they are essential to evaluating the potential ROI of data quality improvements, defining data quality standards, and most importantly, providing a working definition of success. Six blog posts related to Inebriate : Why isn’t our data quality worse?

Data Quality 61

Data Quality Data Governance Cost-Benefit ROI 61

Alation

JULY 28, 2022

The cloud is no longer synonymous with risk. There was a time when most CIOs would never consider putting their crown jewels — AKA customer data and associated analytics — into the cloud. What Are the Biggest Drivers of Cloud Data Warehousing? I am not interested in owning that risk internally.” They need a plan.

Data Warehouse 69

Data Warehouse Cost-Benefit Data-driven Data Governance 69

Alation

APRIL 14, 2022

Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. This is why, when data moves, it’s imperative for organizations to prioritize data discovery. Data discovery is also critical for data governance , which, when ineffective, can actually hinder organizational growth.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

erwin

OCTOBER 24, 2019

. • Harvesting data – Automate the collection of metadata from various data management silos and consolidate it into a single source. Structuring and deploying data sources – Connect physical metadata to specific data models, business terms, definitions and reusable design standards.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Cloudera

NOVEMBER 18, 2020

The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. It hosts over 150 big data analytics sandboxes across the region with over 200 users utilizing the sandbox for data discovery. Data Champions . Winner: OVO.

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

Andrew White

JANUARY 9, 2022

Most of D&A concerns and activities are done within EA in the Info/Data architecture domain/phases. Much of the analytics architecture takes place at the solution architecture level since we should be looking at business process and decision design. – Data (and analytics) governance remains a challenge.

Analytics 64

Analytics Measurement Data-driven Modeling 64

erwin

APRIL 16, 2024

The data mesh framework In the dynamic landscape of data management, the search for agility, scalability, and efficiency has led organizations to explore new, innovative approaches. One such innovation gaining traction is the data mesh framework. This empowers individual teams to own and manage their data.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Alation

OCTOBER 12, 2021

Like many, the team at Cbus wanted to use data to more effectively drive the business. “Finding the right data was a real challenge,” recalls John Gilbert, Data Governance Manager. There are inconsistent definitions and inconsistent metrics, and a lack of trust in the data used in the metrics.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

AWS Big Data

DECEMBER 21, 2023

Overview of solution As a data-driven company, smava relies on the AWS Cloud to power their analytics use cases. smava ingests data from various external and internal data sources into a landing stage on the data lake based on Amazon Simple Storage Service (Amazon S3).

Data Lake 93

Data Lake Data Warehouse B2B Data-driven 93