erwin

OCTOBER 31, 2019

Do you know where your data is? What data you have? Add to the mix the potential for a data breach followed by non-compliance, reputational damage and financial penalties and a real horror story could unfold. s Information Commissioner’s Office had levied against both Facebook and Equifax for their data breaches.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

Alation

NOVEMBER 17, 2022

But what does it mean for an organisation to be truly data-driven? What foundation needs to be in place at the start, and what journey does an organisation need to embrace to benefit from the forensic insights their data can reveal? This requires: Data is embedded into the processes of the organisation.

Data-driven 52

Data-driven Cost-Benefit Business Objectives Technology 52

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

CIO Business Intelligence

JANUARY 24, 2024

Organizations can’t afford to mess up their data strategies, because too much is at stake in the digital economy. How enterprises gather, store, cleanse, access, and secure their data can be a major factor in their ability to meet corporate goals. Here are some data strategy mistakes IT leaders would be wise to avoid.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

erwin

DECEMBER 3, 2020

As the amount of data grows exponentially, organizations turn to data intelligence to reach deeper conclusions about driving revenue, achieving regulatory compliance and accomplishing other strategic objectives. It’s no secret that data has grown in volume, variety and velocity, with 2.5 Hyper-competition. Market expansion.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance.

Data Governance 40

Data Governance ROI Risk Management Metadata 40

erwin

AUGUST 6, 2020

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. So, what is data literacy? What Is Data Literacy? Data Literacy Definition.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Alation

JULY 15, 2022

Data ethics is both an imperative and an opportunity. New regulations covering data privacy and other ethical concerns require that enterprises govern internal data processes according to these new laws. I asked attendees: How often do you think about data ethics? What does data ethics mean to you?

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. EA should be commonplace in data security planning.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

JUNE 26, 2020

If you’re serious about a data-driven strategy , you’re going to need a data catalog. Organizations need a data catalog because it enables them to create a seamless way for employees to access and consume data and business assets in an organized manner. Three Types of Metadata in a Data Catalog.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

Cloudera

AUGUST 3, 2021

In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Accurate demand forecasting can’t rely upon last year’s data based upon dated consumer preferences, lifestyle and demand patterns that just don’t exist today – the world has changed. Improve Visibility within Supply Chains.

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Alation

OCTOBER 26, 2021

Today’s best-performing organizations embrace data for strategic decision-making. Because of the criticality of the data they deal with, we think that finance teams should lead the enterprise adoption of data and analytics solutions. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

FEBRUARY 14, 2024

Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with. Data due diligence Generative AI especially has particular implications for data security, Mann says.

IT 143

IT Metadata Data-driven Management 143

Cloudera

SEPTEMBER 15, 2022

Cloudera Contributor: Mark Ramsey, PhD ~ Globally Recognized Chief Data Officer. July brings summer vacations, holiday gatherings, and for the first time in two years, the return of the Massachusetts Institute of Technology (MIT) Chief Data Officer symposium as an in-person event. Luke: What is a modern data platform?

Data Lake 82

Data Lake Data Architecture Data-driven Data Warehouse 82

Alation

MARCH 8, 2022

When a data analyst exclaims, “I’ll just do it myself!”, They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. Business users gain a complete understanding of the available data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

Alation

JUNE 22, 2021

Of the three pillars of data culture, data literacy is the most challenging to achieve, since it requires broad up-skilling across the organization and, sometimes, fighting human nature itself. According to Gartner, poor data literacy is ranked as the second-biggest internal roadblock to the success of the chief data officer (CDO).

Data Governance 64

Data Governance Data-driven Metadata Visualization 64

CIO Business Intelligence

APRIL 19, 2022

It has just become very topical due to a changing geopolitical landscape and new regulations that affect control of data. In practice, this is all about data: where does it reside, where is it flowing, and who has control over it? These questions are critical for a modern data economy, where data means power.

Metadata 59

Metadata Risk Data-driven Strategy 59

Anmut

APRIL 6, 2023

Data is becoming an increasingly important driver of business success, and organisations are recognising the need to manage and leverage their data effectively. However, achieving a high level of data maturity can be a challenging journey. What is a Data Maturity Assessment? How do you do a Data Maturity Assessment?

Cost-Benefit 52

Cost-Benefit Data Quality Data Governance Measurement 52

erwin

MAY 14, 2021

compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

Alation

SEPTEMBER 21, 2021

When we work with data, we know where we are starting from, often with a destination in mind, but the path we take is not always the fastest because we may not have all the necessary intelligence to optimize our route. Not only is the data distributed, diverse, and dynamic, but so are the people working with data.

Metadata 52

Metadata Testing Recreation/Entertainment Data-driven 52

Ontotext

MARCH 8, 2023

Gartner predicts that graph technologies will be used in 80% of data and analytics innovations by 2025, up from 10% in 2021. Use Case #1: Customer 360 / Enterprise 360 Customer data is typically spread across multiple applications, departments, and regions. Several factors are driving the adoption of knowledge graphs. million users.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

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

Domino Data Lab

JULY 22, 2019

Paco Nathan presented, “Data Science, Past & Future” , at Rev. At Rev’s “ Data Science, Past & Future” , Paco Nathan covered contextual insight into some common impactful themes over the decades that also provided a “lens” help data scientists, researchers, and leaders consider the future.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Cloudera

NOVEMBER 2, 2021

Becoming a data-driven organization is not exactly getting any easier. Businesses are flooded with ever more data. Although it is true that more data enables more insight, the effort needed to separate the wheat from the chaff grows exponentially. Data governance: three steps to success.

Data Governance 96

Data Governance Data-driven Data Processing Risk 96

Alation

MAY 12, 2022

Or, rather, every successful company these days is run with a bias toward technology and data, especially in the manufacturing industry. technologies, manufacturers must deploy the right technologies and, most importantly, leverage the resulting data to make better, faster decisions. All personas access and use data appropriately, and.

Manufacturing 52

Manufacturing Data Governance Cost-Benefit IoT 52

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

erwin

APRIL 4, 2019

A strong data governance framework is central to the success of any data-driven organization because it ensures this valuable asset is properly maintained, protected and maximized. Let’s assume you have some form of data governance operation with some strengths to build on and some weaknesses to correct.

Data Governance 75

Data Governance Data Quality Risk Management Data-driven 75

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. Yes, definitely! The last 10+ years or so have seen Insurance become as data-driven as any vertical industry.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Cloudera

MARCH 14, 2023

Data leaders will be able to simplify and accelerate the development and deployment of data pipelines, saving time and money by enabling true self service. It is no secret that data leaders are under immense pressure. Data quality issue? Good luck auditing data lineage and definitions where policies were never enforced.

Cost-Benefit 79

Cost-Benefit Data-driven Risk Data Governance 79

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. And what must organizations overcome to succeed at cloud data warehousing ? What Are the Biggest Drivers of Cloud Data Warehousing?

Data Warehouse 69

Data Warehouse Cost-Benefit Data Governance Data-driven 69

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. However, most organizations don’t use all the data at their disposal to reach deeper conclusions about how to drive revenue, achieve regulatory compliance or accomplish other strategic objectives. Quite simply, metadata is data about data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

APRIL 14, 2022

Moving data to the cloud can bring immense operational benefits. However, the sheer volume and complexity of today’s enterprise data can cause downstream headaches for data users. Semantics, context, and how data is tracked and used mean even more as you stretch to reach post-migration goals. Data pipeline orchestration.

Metadata 59

Metadata Data Governance Modeling Data-driven 59