AWS Big Data

JANUARY 31, 2023

Data governance is the collection of policies, processes, and systems that organizations use to ensure the quality and appropriate handling of their data throughout its lifecycle for the purpose of generating business value.

Data Lake 78

Data Lake Data Governance Data Architecture Machine Learning 78

CIO Business Intelligence

MAY 2, 2022

Mason, highly skilled in using data to inform transformational changes in a business, will share insights about leading data projects as well as field questions in a live discussion with attendees. Travelers Senior Vice President and Chief Data and Analytics Officer Mano Mannoochahr will discuss creating a data-first culture.

Advertising 98

Advertising Data Governance Insurance Strategy 98

Anmut

APRIL 6, 2023

By regularly conducting data maturity assessments, you can catch potential issues early and make proactive changes to supercharge your business’s success. Cost savings By identifying areas where data management processes can be optimised, organisations can reduce costs associated with data management and analysis.

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

CIO Business Intelligence

APRIL 29, 2022

Data-first leaders are: 11x more likely to beat revenue goals by more than 10 percent. 5x more likely to be highly resilient in terms of data loss. 4x more likely to have high job satisfaction among both developers and data scientists. Create a CXO-driven data strategy.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

Octopai

APRIL 19, 2021

BI teams will have a better handle on their data’s history, its current status, and any changes it may have undergone. Without organized metadata management, the validity of a company’s data is compromised and they won’t achieve adequate compliance, data governance, or generate correct insights.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

AWS Big Data

APRIL 19, 2023

Independent data products often only have value if you can connect them, join them, and correlate them to create a higher order data product that creates additional insights. A modern data architecture is critical in order to become a data-driven organization.

Technology 78

Technology Data-driven Machine Learning Sales 78

AWS Big Data

MARCH 10, 2023

They enable transactions on top of data lakes and can simplify data storage, management, ingestion, and processing. These transactional data lakes combine features from both the data lake and the data warehouse. One important aspect to a successful data strategy for any organization is data governance.

Data Lake 98

Data Lake Sales Data Warehouse Snapshot 98

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

Peter James Thomas

OCTOBER 30, 2018

Prelude… I recently came across an article in Marketing Week with the clickbait-worthy headline of Why the rise of the chief data officer will be short-lived (their choice of capitalisation). This may purely be focused on cultural aspects of how an organisation records, shares and otherwise uses data.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

AWS Big Data

APRIL 24, 2023

It allows you to access diverse data sources, build business intelligence dashboards, build AI and machine learning (ML) models to provide customized customer experiences, and accelerate the curation of new datasets for consumption by adopting a modern data architecture or data mesh architecture.

Data Lake 76

Data Lake Data Governance Cost-Benefit Machine Learning 76

AWS Big Data

MARCH 26, 2024

In this post, we discuss how you can use purpose-built AWS services to create an end-to-end data strategy for C360 to unify and govern customer data that address these challenges. We recommend building your data strategy around five pillars of C360, as shown in the following figure.

Data Strategy 66

Data Strategy Strategy Data Warehouse Prescriptive Analytics 66

TDAN

JULY 19, 2022

In reference to the prior column on enterprise data management and high level lego framework, this column reviews in detail the foundational layer of Organization Mission, Level 1. These six lego blocks […].

Strategy 52

Strategy Enterprise Management Modeling 52

Anmut

MARCH 24, 2022

After decades in the background, data is currently king of the business world. Visionary companies like Google and Amazon are renowned for figuring out the transformational power of data, using data-driven business models to achieve extraordinary success. Understand the root cause of your biggest data challenges.

ROI 52

ROI Measurement Data-driven Data Transformation 52

TDAN

JUNE 21, 2022

Twenty-five years ago today, I published the first issue of The Data Administration Newsletter. It only took a few months to recognize that there was an audience for an “online” publication focused on data administration. […].

Publishing 78

Publishing Data Quality Data Architecture IT 78

CIO Business Intelligence

NOVEMBER 29, 2022

A sea of complexity For years, data ecosystems have gotten more complex due to discrete (and not necessarily strategic) data-platform decisions aimed at addressing new projects, use cases, or initiatives. Layering technology on the overall data architecture introduces more complexity.

Data Architecture 111

Data Architecture Data Integration IoT Strategy 111

TDAN

FEBRUARY 18, 2020

Welcome to DAMA Corner, a source of information for data management professionals here in TDAN.com, the industry leading publication for people interested in learning about data administration and data management disciplines and best practices.

Management 59

Management Data Architecture Data Strategy Data Governance 59

Sisense

JULY 6, 2020

Like any complex system, your company’s EDM system is made up of a multitude of smaller subsystems, each of which has a specific role in creating the final data products. These subsystems each play a vital part in your overall EDM program, but three that we’ll give special attention to are data governance, architecture, and warehousing.

Enterprise 98

Enterprise Management Data Architecture Strategy 98

Peter James Thomas

MAY 3, 2019

The objective here is to use a variety of techniques to tease out findings from available data (both internal and external) that go beyond the explicit purpose for which it was captured. Control of Data to ensure it is Fit-for-Purpose. Data Architecture / Infrastructure. Data Operating Model / Organisation Design.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

TDAN

AUGUST 20, 2019

We hope your Data Management career and programs are progressing well. If you have issues, please refer to DAMA.org for references, as well as the DAMA Data Management Body of Knowledge (DMBok). Good day from DAMA International. You can purchase the DMBoK at your favorite book source or via website link.

Management 40

Management Data Quality Data Architecture Data Governance 40

Jen Stirrup

MARCH 29, 2023

What does a sound, intelligent data foundation give you? It can give business-oriented data strategy for business leaders to help drive better business decisions and ROI. It can also increase productivity by enabling the business to find the data they need when the business teams need it. Why is this interesting?

Metadata 120

Metadata Data Warehouse Data Integration Business Intelligence 120

IBM Big Data Hub

AUGUST 4, 2023

Data democratization instead refers to the simplification of all processes related to data, from storage architecture to data management to data security. It also requires an organization-wide data governance approach, from adopting new types of employee training to creating new policies for data storage.

Data Architecture 65

Data Architecture Data Lake Machine Learning Data Governance 65

AWS Big Data

FEBRUARY 27, 2024

Machine learning analytics – Various business units, such as Servicing, Lending, Sales & Marketing, Finance, and Credit Risk, use machine learning analytics, which run on top of the dimensional model within the data lake and data warehouse. This enables data-driven decision-making across the organization.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

AWS Big Data

JULY 14, 2023

In this post, we discuss how the Amazon Finance Automation team used AWS Lake Formation and the AWS Glue Data Catalog to build a data mesh architecture that simplified data governance at scale and provided seamless data access for analytics, AI, and machine learning (ML) use cases.

Finance 79

Finance Metadata Big Data Recreation/Entertainment 79

Alation

OCTOBER 12, 2021

Enterprise data analytics enables businesses to answer questions like these. It empowers analysts to model scenarios, forecast change, and predict impact of real or imagined events. Having a data analytics strategy is a key to delivering answers to these questions and enabling data to drive the success of your business.

Strategy 52

Strategy Enterprise Analytics Data Governance 52

Cloudera

FEBRUARY 22, 2021

The Cloudera Data Platform (CDP) represents a paradigm shift in modern data architecture by addressing all existing and future analytical needs. Cloudera Data Catalog (part of SDX) replaces data governance tools to facilitate centralized data governance (data cataloging, data searching / lineage, tracking of data issues etc. ).

Cost-Benefit 77

Cost-Benefit Data Warehouse Data Processing Data Governance 77