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. Comparing SQL and NoSQL.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

erwin

APRIL 4, 2022

If you’re a long-time erwin ® Data Modeler by Quest ® customer, you might be asking yourself, “What happened to the release naming convention of erwin Data Modeler?” In 2021 erwin Data Modeler released 2021R1. What’s new in erwin Data Modeler R12.0? Google Big Query.

Modeling 52

Modeling Data Processing Data-driven Big Data 52

erwin

APRIL 27, 2022

If you love our products, please vote. Year after year, customers vote Quest® products as their #1 choice in database solutions. This year Quest® (including erwin) is competing in 7 out of 29 product / solution categories: Best CDC Solution (Quest Shareplex). Best Data Governance Solution (erwin Data Intelligence).

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

erwin

AUGUST 13, 2020

M&A, new markets, products and businesses). Customer Engagement : How can we better engage with customers including brand, loyalty, customer acquisition and product strategy? data protection, personal and sensitive data, tax issues and sustainability/carbon emissions)? big data, analytics and insights)?

Enterprise 143

Enterprise Cost-Benefit Uncertainty ROI 143

erwin

MARCH 24, 2020

Disaster recovery is not just an event but an entire process defined as identifying, preventing and restoring a loss of technology involving a high-availability, high-value asset in which services and data are in serious jeopardy. The erwin disaster recovery model answers these questions by capturing and displaying the relevant data.

Modeling 97

Modeling Data Processing Software Finance 97

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. Enhanced : Data managed equally.

Data Governance 128

Data Governance Metadata Cost-Benefit Digital Transformation 128

erwin

NOVEMBER 13, 2020

However, even in “normal times,” business leaders need to understand how to grow, bring new products to market through organic growth or acquisition, identify new trends and opportunities, determine if new opportunities provide a return on investment, etc. Data Security & Risk Management. Data Center Consolidation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

SEPTEMBER 5, 2022

As with part 1 , part 2 ,and part 3 of this data modeling blog series, this blog also stresses that the cloud is not nirvana. Data modeling best practices. So, good relational design as covered in part 1 of this data modeling blog series holds true. Yes, it offers essentially infinitely scalable resources.

Modeling 52

Modeling Cost-Benefit Testing Data-driven 52

erwin

AUGUST 15, 2022

For NoSQL, data lakes, and data lake houses—data modeling of both structured and unstructured data is somewhat novel and thorny. This blog is an introduction to some advanced NoSQL and data lake database design techniques (while avoiding common pitfalls) is noteworthy. A sample data warehousing project.

Data Lake 52

Data Lake Modeling Unstructured Data Data Warehouse 52

erwin

MAY 7, 2020

Although there is some crossover, there are stark differences between data architecture and enterprise architecture (EA). That’s because data architecture is actually an offshoot of enterprise architecture. The difference between data architecture and enterprise architecture can be represented with the Zachman Framework.

Data Architecture 131

Data Architecture Enterprise Modeling Sales 131

erwin

MARCH 14, 2022

And in a far-reaching area like data empowerment, erwin® by Quest® wants to help customers like you be able to use our solutions efficiently and strategically. Ultimately, we want to make sure you can reach your digital transformation goals through data. erwin Data Modeler by Quest.

Digital Transformation 52

Digital Transformation Marketing Modeling Technology 52

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 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

JUNE 7, 2022

Designing databases for data warehouses or data marts is intrinsically much different than designing for traditional OLTP systems. Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Figure 1: Pricing for a 4 TB data warehouse in AWS. Data Modeling.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

erwin

MARCH 5, 2020

Innovation management is about quickly and effectively implementing your organization’s goals through the adoption of innovative ideas, products, processes and business models. Initial data aggregation and collation is completed. Click here to test drive erwin Evolve today. Some (manual) reporting is possible.

Digital Transformation 133

Digital Transformation Enterprise Management Modeling 133

erwin

AUGUST 20, 2020

It provides a visual blueprint, demonstrating the connection between applications, technologies and data to the business functions they support. And thanks to data –our need to store and process it, and the insights it provides – such change is happening faster than ever. Data Governance. Data Security & Risk Management.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

erwin

DECEMBER 10, 2020

When I look back, I should not be surprised that 2020 has been incredibly busy for us here at erwin. However, data is central to our mission, and data is the key to sound decision-making. Reimaging current business models, like moving fitness classes outdoors. At the heart of these medical breakthroughs is data.

Manufacturing 134

Manufacturing Uncertainty Data-driven Consulting 134

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

erwin

SEPTEMBER 26, 2019

The benefits of Data Vault automation from the more abstract – like improving data integrity – to the tangible – such as clearly identifiable savings in cost and time. So Seriously … You Should Automate Your Data Vault. By Danny Sandwell.

Data Warehouse 108

Data Warehouse Cost-Benefit Data Integration Modeling 108

erwin

JUNE 8, 2020

Our customers are in search of creative and sustainable ways to increase their speed to insights for digital transformation, infrastructure modernization and cloud migration and many of them are looking to implement the Snowflake Cloud Data Platform. Let me know your thoughts on the new erwin/Snowflake partnership. Well, we think so.

Management 52

Management Metadata Data Lake Digital Transformation 52

erwin

APRIL 16, 2020

Our team here at erwin takes great pride in this distinction because customer feedback has always shaped our products and services. The solutions work in tandem to automate the processes involved in harvesting, integrating, activating and governing enterprise data according to business requirements.

Metadata 52

Metadata Management Data Governance Digital Transformation 52

erwin

JULY 11, 2019

At a fundamental level, digital transformation is about further synthesizing an organization’s operations and technology, so involving business architecture and process modeling is a best practice organizations cannot ignore. Business Process Modeling: The First Step to Giving Customers What They Expect. Data usage.

Digital Transformation 106

Digital Transformation Modeling Data Governance Visualization 106

erwin

OCTOBER 17, 2019

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. It helps model, manage and transform mission-critical value streams across industries, as well as identify sensitive information. Data security/risk management. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

SEPTEMBER 29, 2021

The ability to make rapid business decisions to remain competitive hinges on data – access to it and the means to derive useful insights from it. While that goal sounds straightforward, modern enterprises are facing challenges in achieving it because so much data is inaccessible, poorly understood or completely unknown.

Digital Transformation 52

Digital Transformation Data Governance Cost-Benefit Data-driven 52

erwin

DECEMBER 19, 2019

Data has been the driving force of the decade. Many organizations have tried and failed to become truly “data-driven,” and many organizations will continue to do so. 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

MAY 14, 2020

Kanban derives from the just-in-time manufacturing methods that revolutionized manufacturing by focusing on what is needed to achieve a particular result and integrating the supply chain to maximize production. Enterprise Models: Creation and visualization of complex models for strategy, processes, applications, technologies and data.

Enterprise 93

Enterprise Visualization Manufacturing ROI 93

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

erwin

OCTOBER 18, 2019

erwin positioned as a Leader in Gartner’s “2019 Magic Quadrant for Metadata Management Solutions”. We were excited to announce earlier today that erwin was named as a Leader in the @Gartner _inc “2019 Magic Quadrant for Metadata Management Solutions.”. GET THE REPORT NOW.

Metadata 63

Metadata Management Reporting Marketing 63

erwin

NOVEMBER 6, 2019

erwin released its State of Data Governance Report in February 2018, just a few months before the General Data Protection Regulation (GDPR) took effect. Download Free GDPR Guide | Step By Step Guide to Data Governance for GDPR?. How to automate data mapping. The Role of Data Automation. We wonder why.

Metadata 102

Metadata Data Governance Management Cost-Benefit 102

erwin

APRIL 25, 2019

Data governance is one area where business and IT never seemed to establish ownership. Early attempts at data governance treated the idea as a game of volleyball, passing ownership back and forth, with one team responsible for storing data and running applications, and one responsible for using the data for business outcomes.

Enterprise 94

Enterprise Digital Transformation Data Governance Business Intelligence 94

erwin

JANUARY 7, 2021

Our predictions for 2021 are rooted in what we’ve learned from the past year and the relevance of data in getting us to where we are and where we need to go. Historically, moving legacy data to the cloud hasn’t been easy or fast. However, that definition is too narrow in terms of AI’s relation to data governance.

Metadata 98

Metadata Data Governance Internet of Things IoT 98

erwin

MAY 6, 2020

In these times of great uncertainty and massive disruption, is your enterprise data helping you drive better business outcomes? The COVID-19 pandemic has forced organizations to tactically adjust their business models, work practices and revenue projections for the short term. Turning Data Into a Source of Truth & Regeneration.

Cost-Benefit 94

Cost-Benefit Data Governance Uncertainty Data-driven 94

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Top 7 Data Governance, GDPR and Big Data Blogs and News Sources from Around the Web.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

erwin

MAY 9, 2019

In the race to collect and analyze data, provide superior customer experiences, and manage resources, new technologies always interest IT and business leaders. Before they enter production, organizations need to test and pilot their projects to help answer some important questions: How do these technologies disrupt?

Technology 75

Technology Enterprise Management Internet of Things 75

erwin

JUNE 11, 2020

What Is Data Intelligence? Data Intelligence is the analysis of multifaceted data to be used by companies to improve products and services offered and better support investments and business strategies in place. Data intelligence can encompass both internal and external business data and information.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

CIO Business Intelligence

NOVEMBER 23, 2022

Benefits of enterprise architecture There are several benefits to enterprise architecture , including resiliency and adaptability, managing supply chain disruptions, staff recruitment and retention, improved product and service delivery, and tracking data and APIs. Data warehouse. Data modeling. Microsoft Azure.

Enterprise 127

Enterprise Cost-Benefit Digital Transformation Strategy 127

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90