Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

CIO Business Intelligence

MARCH 7, 2024

Remember, AI has been around for a long time, and the definition makes a difference. If you have a digital transformation office , you likely have used AI in several facets of a program. I’ve heard of companies creating a separate set of policies for every transformative technology.

Digital Transformation 72

Digital Transformation Machine Learning Risk Testing 72

erwin

DECEMBER 3, 2020

Being able to integrate all data touchpoints, including erwin DM for data modeling, Denodo for data visualization, and Jira for ticketing, has been key. Using erwin DI, customers are powering comprehensive data governance initiatives, cloud migration and other massive digital transformation projects.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

Andrew White

DECEMBER 4, 2019

I argued that one vendors’ book on data quality was really about data governance; I argued that another vendors’ marketing message was totally upside down; and I argued that some approaches to achieving single source of truth were different from traditional approaches.

Digital Transformation 64

Digital Transformation Data Integration Data Quality Data Warehouse 64

CIO Business Intelligence

APRIL 29, 2022

Data has rights and sovereignty. Data Lifecycle Management: Implementing the processes and technologies required to support scalable and cost-effective management, retention, and protection. Data Security: Achieving authentication, access control, and encryption without negatively impacting productivity. About Ian Jagger.

Digital Transformation 111

Digital Transformation Strategy Data-driven Data Strategy 111

CIO Business Intelligence

MAY 15, 2024

First, there are new license types that are only open source under a very loose definition of the term. You can overwhelm the infrastructure with requests so the model won’t,” says Elena Sügis, senior data scientist and capability lead at Nortal, a global digital transformation consultancy.

Modeling 130

Modeling Risk Software Enterprise 130

Alation

JULY 15, 2022

Data as an Insight: Operational Improvement. The mandate: Financial services businesses must meet extensive regulatory requirements, which demand full governance including: Data ownership, definitions, agreed-upon data quality rules and results, and lineage (BCBS239, CCAR, etc.).

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

Alation

JUNE 14, 2021

We discuss how they are running the business of IT and cover subjects like digital transformation, business/IT alignment, IT leadership, and leading innovation. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

CIO Business Intelligence

JANUARY 23, 2024

Regardless of where organizations are in their digital transformation, CIOs must provide their board of directors, executive committees, and employees definitions of successful outcomes and measurable key performance indicators (KPIs). As a result, outcome-based metrics should be your guide.

Measurement 125

Measurement Digital Transformation KPI Metrics 125

Alation

FEBRUARY 13, 2020

A Data Catalog is a collection of metadata, combined with data management and search tools, that helps analysts and other data users to find the data that they need, serves as an inventory of available data, and provides information to evaluate fitness data for intended uses.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Data governance has no standard definition.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

CIO Business Intelligence

JUNE 14, 2022

The mission also sets forward a target of 50% of high-priority data quality issues to be resolved within a period defined by a cross-government framework. A system that unlocks digital transformation. The same bodies are also failing to attract top digital talent. Secure, efficient, and sustainable technology.

Strategy 92

Strategy IT Digital Transformation Data Processing 92

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage). Map data flows.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

DECEMBER 4, 2023

For organizations embarking on a digital transformation , it’s crucial to visualize how an ERP system will integrate with every aspect of a business’ operations. During this phase, the platform is configured to meet specific business requirements and core data migration begins.

Testing 72

Testing Consulting Digital Transformation Cost-Benefit 72

Ontotext

FEBRUARY 19, 2020

Although there is still no single, universally accepted definition, there have been various attempts at it – such as in Towards a Definition of Knowledge Graphs. Clean your data to ensure data quality. Correct any data quality issues to make the data most applicable to your task.

Modeling 90

Modeling Knowledge Discovery Data Quality Visualization 90

Jedox

NOVEMBER 17, 2022

Manual, repetitive tasks being replaced by automated processes is definitely not new, but the impact of this on the accounting field leveraged through Artificial Intelligence (AI) and Machine Learning (ML) is still relatively new. Skill #1: Automating processes for the right reasons. As technology evolves, so must CPAs.

Finance 77

Finance Cost-Benefit Forecasting Reporting 77

Alation

MARCH 21, 2023

Having been in business for over 50 years, ARC had accumulated a massive amount of data that was stored in siloed, on-premises servers across its 7 business domains. Using Alation, ARC automated the data curation and cataloging process. “So

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

Grooper

AUGUST 19, 2019

ISL is also the foundation for the process of transforming data into wisdom and successful master data management. Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. ISL helps today's business leaders understand how data answers business questions.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

erwin

MARCH 14, 2019

Because of GDPR, organizations that may not have fully leveraged data mapping for proactive data-driven initiatives (e.g., analysis) are now adopting data mapping tools with compliance in mind. Arguably, GDPR’s implementation can be viewed as an opportunity – a catalyst for digital transformation.

Metadata 81

Metadata Data Governance Digital Transformation Data-driven 81

Alation

DECEMBER 14, 2021

But by partnering with a professional consultant in data quality management systems, forward-thinking enterprises gain a significant competitive edge over their competitors. Let’s start with some simple definitions. What is cloud-native? Alation’s Cloud-Native Systems.

Cost-Benefit 52

Cost-Benefit Data Processing Optimization Consulting 52

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. How to Define Data Governance.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52

DataKitchen

JUNE 24, 2021

We needed to get the data from a centralized place into their hands so that they could get in the game of digital transformation.”. ” So I became focused on how to get data and analytic teams to be successful. Their definition of DataOps was that we do some automation and check a record count.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

AWS Big Data

AUGUST 14, 2023

Some principles for the management of data mesh evolution, and the evaluation of data products against organizational goals, are explored later in this post. Data products vs. data definitions The following figure illustrates how data definitions are defined and inherited throughout the lineage of data products.

Management 78

Management Risk Measurement Optimization 78

Alation

AUGUST 26, 2021

Data intelligence has thus evolved to answer these questions, and today supports a range of use cases. Examples of Data Intelligence use cases include: Data governance. Cloud Transformation. Cloud Data Migration. Digital Transformation. Data Intelligence and Data Governance.

Metadata 64

Metadata Data Governance Dashboards Software 64