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

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Octopai

APRIL 19, 2021

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. Additionally, the BI team will have trouble pinpointing the cause of errors, leading to inaccurate reports. TDWI – David Loshin.

Metadata 52

Metadata Management Business Intelligence Data Governance 52

CIO Business Intelligence

APRIL 29, 2022

The data-first transformation journey can appear to be a lengthy one, but it’s possible to break it down into steps that are easier to digest and can help speed you along the pathway to achieving a modern, data-first organization. Key features of data-first leaders. 5x more likely to be highly resilient in terms of data loss.

Digital Transformation 118

Digital Transformation Strategy Data-driven Data Strategy 118

IBM Big Data Hub

JULY 13, 2023

When we talk about data integrity, we’re referring to the overarching completeness, accuracy, consistency, accessibility, and security of an organization’s data. Together, these factors determine the reliability of the organization’s data. Data quality Data quality is essentially the measure of data integrity.

Data Quality 63

Data Quality Data Integration Metadata Cost-Benefit 63

Cloudera

JUNE 29, 2023

To improve the way they model and manage risk, institutions must modernize their data management and data governance practices. Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs.

Data Architecture 88

Data Architecture Risk Management Risk Management 88

Peter James Thomas

OCTOBER 30, 2018

Most of the time, the article does nothing more than to reflect the continuing confusion about whether or not organisations need CDOs and – assuming that they do – what their remit should be and who they should report to [4]. It may be to build a new (or a first) Data Architecture. It may be to improve Data Quality.

Marketing 51

Marketing Strategy Data Architecture Data Strategy 51

CIO Business Intelligence

FEBRUARY 20, 2023

To earn this cert, candidates should know how to maintain and modify Sales Cloud and Service Cloud applications; manage users, data, and security; and construct dashboards, reports, and workflows. The certification emphasizes testing, governance, and integration with external systems within an organization’s infrastructure.

Consulting 62

Consulting B2B Cost-Benefit Sales 62

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 megabytes of data every second?

Big Data 52

Big Data Data Analytics Management Unstructured Data 52

AWS Big Data

MARCH 26, 2024

Without C360, businesses face missed opportunities, inaccurate reports, and disjointed customer experiences, leading to customer churn. 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.

Data Strategy 69

Data Strategy Strategy Data Warehouse Prescriptive Analytics 69

erwin

OCTOBER 24, 2019

As a result, the applications and initiatives that depend on a solid data infrastructure may be compromised, leading to faulty analysis and insights. Metadata Is the Heart of Data Intelligence. Organizations then can take a data-driven approach to business transformation , speed to insights, and risk management.

Metadata 104

Metadata Management Data-driven Data Architecture 104

Peter James Thomas

MAY 3, 2019

Collation of Data to provide Information. This area includes what is often described as “traditional” reporting [3] , Dashboards and analysis facilities. Control of Data to ensure it is Fit-for-Purpose. Data Architecture / Infrastructure. I will start at the top left and work across and then down.

Strategy 55

Strategy Data Architecture Data Quality Data Strategy 55

CIO Business Intelligence

FEBRUARY 28, 2024

Even in its infancy, gen AI has become an accepted course of action and application, and the most common use cases include automation of IT processes, security and threat detection, supply chain intelligence, and automating customer service and network processes, according to a report released by IBM in January.

IT 116

IT Consulting Modeling Enterprise 116

Andrew White

JANUARY 9, 2022

First, how we measure emissions and carbon footprint is about data design and policy. For example I would argue that most organizations that report their carbon footrest are not doing it consistently and nor are they doing it correctly. We have a lot of data literacy material published and we annually update our must-have roles work.

Analytics 64

Analytics Measurement Modeling Data-driven 64

Alation

JANUARY 25, 2022

In a practical sense, a modern data catalog should capture a broad array of metadata that also serves a broader array of consumers. In concrete terms, that includes metadata for a broad array of asset classes, such as BI reports, business metrics, business terms, domains, functional business processes, and more.

Metadata 52

Metadata IT Metrics Data-driven 52

Peter James Thomas

AUGUST 2, 2019

Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment. Data Federation. Data Function. Data Model. Data Operating Model. Master Data – additional definition (contributor: Scott Taylor ).

Analytics 69

Analytics Data Analytics Data Architecture Statistics 69

CIO Business Intelligence

NOVEMBER 7, 2023

But what exactly is involved in breaking down data silos? Centralized reporting boosts data value For more than a decade, pediatric health system Phoenix Children’s has operated a data warehouse containing more than 120 separate data systems, providing the ability to connect data from disparate systems.

Data Warehouse 140

Data Warehouse Digital Transformation Data-driven Reporting 140

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 59

Data Architecture Data Lake Machine Learning Data Governance 59

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. AWS services like AWS Lake Formation in conjunction with Atlan help govern data access and policies.

Data-driven 96

Data-driven Data Lake Data Quality Data Governance 96

DataKitchen

JANUARY 23, 2023

Data lineage can also be used for compliance, auditing, and data governance purposes. DataOps Observability Five on data lineage: Data lineage traces data’s origin, history, and movement through various processing, storage, and analysis stages. What is missing in data lineage?

Testing 130

Testing Data Governance Data Quality Data-driven 130

BI-Survey

FEBRUARY 6, 2020

Modernizing and optimizing enterprise reporting – or classical BI – has not been such a priority for many of today’s organizations, even though it constitutes the backbone of information supply for decision support. Technological innovations and their increasing proliferation are shaping enterprise reporting and BI.

Reporting 59

Reporting Optimization Enterprise Data Quality 59

CIO Business Intelligence

JANUARY 20, 2023

In particular, companies that were leaders at using data and analytics had three times higher improvement in revenues, were nearly three times more likely to report shorter times to market for new products and services, and were over twice as likely to report improvement in customer satisfaction, profits, and operational efficiency.

Data Lake 128

Data Lake Data-driven Finance Data Architecture 128

Alation

OCTOBER 12, 2021

In enterprises especially, which typically collect vast amounts of data, analysts often struggle to find, understand, and trust data for analytics reporting. Immense volume leads to data silos, and a holistic view of the business becomes more difficult to achieve. Implementing adaptive, active data governance.

Strategy 52

Strategy Enterprise Analytics Data Governance 52