erwin

APRIL 16, 2021

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. Data Governance Is Business Transformation. Predictability.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

JANUARY 30, 2020

I’m excited to share the results of our new study with Dataversity that examines how data governance attitudes and practices continue to evolve. Defining Data Governance: What Is Data Governance? . 1 reason to implement data governance. Most have only data governance operations.

Data Governance 145

Data Governance Metadata Cost-Benefit Digital Transformation 145

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. And as you make this transition, you need to understand what data you have, know where it is located, and govern it along the way. Then you must bulk load the legacy data.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

erwin

JANUARY 17, 2020

What is Data Modeling? Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

erwin

NOVEMBER 28, 2019

Enterprise architecture tools are becoming more important than ever. The International Enterprise Architecture Institute (IEAI) defines enterprise architecture (EA) as “the analysis and documentation of an enterprise in its current and future states from an integrated strategy, business and technology perspective.”.

Enterprise 145

Enterprise Data-driven Data Governance Digital Transformation 145

Cloudera

FEBRUARY 23, 2022

In the mean-time, digital transformation has been accelerating both as a means to respond to the pandemic, and as a mechanism to drive costs down further, allowing for margin growth. In addition to that, the march of network virtualisation combined with the cloudification of IT have driven further changes in operations.

Data-driven 92

Data-driven Advertising IoT Digital Transformation 92

erwin

NOVEMBER 13, 2020

The business challenges facing organizations today emphasize the value of enterprise architecture (EA) , so the future of EA is closer than you think. See also: What Is Enterprise Architecture? . Digital Transformation. Data Security & Risk Management. Data Center Consolidation. Digital Transformation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

bridgei2i

JULY 16, 2021

The digital transformation journeys of enterprises have been fraught with different challenges since the early 2000s. However, the emergence of AI and its synergies with evolving technologies such as cloud computing, IoT, and big data analytics, have brought enterprises to a tipping point in their journeys.

Enterprise 98

Enterprise Digital Transformation IoT Data-driven 98

CIO Business Intelligence

APRIL 29, 2022

This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives. Establishing a Data Foundation. Software development, once solely the domain of human programmers, is now increasingly the by-product of data being carefully selected, ingested, and analysed by machine learning (ML) systems in a recurrent cycle.

Data Governance 145

Data Governance IT Risk Data Lake 145

erwin

DECEMBER 19, 2019

Data has been the driving force of the decade. Digital pioneers like Amazon, Netflix and Uber account for some of the most extreme market disruption their respective industries have faced. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so.

Metadata 75

Metadata Data Governance Management Digital Transformation 75

erwin

FEBRUARY 14, 2019

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. ROI doesn’t meet expectations, the customer experience isn’t quite right , and data gets exposed or mishandled.

Digital Transformation 75

Digital Transformation Data Governance Data-driven ROI 75

CIO Business Intelligence

MAY 16, 2024

Digital transformation is a gradual journey, and for many CIOs, becoming more data-driven hinges on how sustainability practices are systematically adopted. Business plans are focused on digital and sustainable transformation to bring us closer to the goal of a data-driven company,” says its CIO, Stefano Biondini.

Digital Transformation 87

Digital Transformation Data-driven Cost-Benefit Management 87

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. As enterprise architecture has evolved, so to have the use cases for enterprise architecture. Top 7 Use Cases for Enterprise Architecture. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

AUGUST 20, 2020

Enterprise architecture (EA) is a strategic planning initiative that helps align business and IT. It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. In this post: What Is Enterprise Architecture? Benefits of Enterprise Architecture.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

FEBRUARY 21, 2019

Much like the hospitality industry , digital transformation in retail has been a huge driver of change. ” This is arguably the result of the degree of digital transformation in retail that we’ve seen in recent years. But digital transformation in retail has seen the map change.

Digital Transformation 69

Digital Transformation Risk Data Governance Sales 69

CIO Business Intelligence

MAY 7, 2024

Chief data officers have a lot to think about these days. Chief among them, they must ensure responsible, compliant use of their organizations’ data in the face of increasingly complex regulatory environments across the globe. At the end of the day, it’s all the company’s data or the consumer’s data,” he adds.

Data Strategy 131

Data Strategy Data-driven Data Quality Strategy 131

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. In the era of data-driven business, such perspective is critical. Collaborate with all stakeholders on innovation and transformation initiatives. Retain organizational knowledge.

Enterprise 77

Enterprise Data-driven Data Governance Digital Transformation 77

CIO Business Intelligence

AUGUST 22, 2023

If digital transformation is a journey, when does it end? This is a question I am asked often by IT leaders who prefer slowing down the pace of transformation and technology innovation. Another study of 4,000 global organizations found that only 44% had a high digital maturity.

Digital Transformation 98

Digital Transformation Data-driven Cost-Benefit Strategy 98

Jen Stirrup

NOVEMBER 15, 2022

Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. It is such a fundamental question.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

erwin

NOVEMBER 21, 2019

As enterprise architectures become more complex, enterprise architecture tools are becoming more important than ever. In the era of data-driven business, such perspective is critical. Data-Driven Business Transformation: Using data as a transformational tool to succeed in the digital age.

Enterprise 72

Enterprise Data-driven Data Governance Digital Transformation 72

Cloudera

MARCH 25, 2021

Data privacy is an increasingly complex and contentious topic. The appropriate use of data and transparency to the potential uses of the data are at the center of debate amongst the largest Big Tech companies. . It won’t matter if you can collect social media data or geo location data, images, etc.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. The investment thesis was we could dramatically change the value of the company by becoming a true cloud and subscription-driven company. Today, we’re a $1.6

Modeling 115

Modeling Management IT Metrics 115

erwin

NOVEMBER 19, 2020

This recognition affirms our efforts in developing an integrated platform for enterprise modeling and data intelligence to support data governance, digital transformation and any other effort that relies on data for favorable outcomes.

Metadata 98

Metadata Management Digital Transformation Data Governance 98

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story. Who are the data owners?

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

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 New products and services.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

erwin

SEPTEMBER 6, 2021

In a recent global intelligence survey of 1,300 IT, business and executive leaders, more than half estimated that “dark data” comprised 55% or more of their organization’s data – that’s data that is uncaptured, unknown and unused within the organization. Data governance teams.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

Ontotext

MAY 16, 2024

There is a confluence of activity – including generative AI models, digital twins, and shared ledger capabilities – that are having a profound impact on enterprises. Why do enterprises need Graph COE? This is designed to identify business priorities and must be aligned with the data from initial use cases.

Enterprise 52

Enterprise Data-driven Cost-Benefit Digital Transformation 52

CIO Business Intelligence

MARCH 27, 2023

Chief data and analytics officers (CDAOs) are poised to be of increasing strategic importance to their organizations, but many are struggling to make headway, according to data presented last week by Gartner at the Gartner Data & Analytics Summit 2023. Organizations are still investing in data and analytics functions.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

Jet Global

SEPTEMBER 29, 2021

The Importance of Data-Driven Finance Leaders. As the economic landscape rapidly changes, the roles of CFOs and Finance leaders have transformed into those of strategists and innovators. How Finance Leaders Use Data to Support Decision-Making. So, how data-driven is your team?

Data-driven 52

Data-driven Finance Data Collection Metrics 52

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

Cloudera

SEPTEMBER 29, 2021

Digital transformation has been talked about for many years, but the pandemic has accelerated the digital transformation journeys for many enterprises. This has made it imperative for governments to leverage digital technologies to become more agile and innovative and better serve their citizens. .

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

Cloudera

AUGUST 3, 2021

Consider that e-commerce’s acceleration due to the pandemic saw retailers’ digital sales penetration realize 10 years of growth in just the first three months of 2020 alone. . In summary, predicting future supply chain demands using last year’s data, just doesn’t work. Digital Transformation is not without Risk.

Analytics 109

Analytics Digital Transformation Risk Forecasting 109

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

CIO Business Intelligence

JUNE 22, 2022

To this end, 170 countries have already laid out detailed national digital strategies to drive economic digital transformation. And some industries — notably, the transport, finance, and education sectors — have expedited digital transformation based on ICT networks and the cloud.

Digital Transformation 100

Digital Transformation Technology Data-driven Finance 100