erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. Data security/risk management. Data security/risk management.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

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.

Data Governance 131

Data Governance Key Performance Indicator Digital Transformation Metadata 131

CIO Business Intelligence

MARCH 1, 2023

At a time when businesses are pushing the limits of digital transformation and modernization, security, particularly in the mainframe, is critical. Mainframes are responsible for storing businesses’ most sensitive data and information – from financial records to trade secrets to customers’ personal information.

Digital Transformation 72

Digital Transformation Data Governance Software Risk 72

erwin

NOVEMBER 13, 2020

Digital Transformation. Data Security & Risk Management. Data Center Consolidation. Data Governance (knowing what data you have and where it is). Digital Transformation. The key driver of modern EA is the demand for digital transformation. Compliance/Legislation.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

erwin

JULY 22, 2020

There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business. For E.ON, data governance is not just about data management but also about using information to increase efficiencies. Being a Change Agent.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

CIO Business Intelligence

MARCH 4, 2024

In an era of business where every industry requires its stakeholders to be capable of quick pivots and sharp turns, siloed information that ultimately slows decision-making can be the ultimate vulnerability. In this way, data may just be the ultimate disruptor – a fact that the insurance industry knows all too well.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT. There may be times when department-specific data needs and tools are required.

IT 137

IT Risk Cost-Benefit Risk Management 137

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. While going digital may be commonly associated with the private sector, governments and the organizations in the public sector have much to gain by going digital as well.

Digital Transformation 79

Digital Transformation Data Governance Data-driven Uncertainty 79

erwin

AUGUST 20, 2020

Through effective EA, organizations are better able to identify risks and opportunities, address redundancies and process gaps, and create roadmaps to bridge the gap between the current and desired future state of an organization. Reduced risks and costs. Data Governance. Data Security & Risk Management.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 110

Slice and Dice Cost-Benefit Risk Data Governance 110

CIO Business Intelligence

FEBRUARY 14, 2024

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. It also means many more machine identities to manage, says Murali Palanisamy, chief solutions officer at IAM platform provider AppViewX.

IT 143

IT Metadata Data-driven Management 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 84

Metadata Data Governance Digital Transformation Data Quality 84

erwin

AUGUST 6, 2020

With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis. So, what is data literacy?

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

CIO Business Intelligence

DECEMBER 11, 2023

The need to secure sensitive information is paramount for ethical AI deployment because AI’s heavy dependency on data increases the risk of breaches and unauthorized access, Wollersheim says. Companies must fortify against attacks that could mislead AI models and result in ill-informed decisions.

Modeling 131

Modeling Risk Strategy Software 131

CDW Research Hub

JANUARY 28, 2022

The practice of organizing data into defined categories simplifies the process of locating and retrieving information, making it easier to use and protect. Data classification helps organizations answer important questions about their data that inform how they mitigate risk and manage data governance policies.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86

CIO Business Intelligence

MAY 1, 2023

The conversations reminded everyone that there isn’t a one-size-fits-all approach to the journey and that each organization should focus on its operating model, the architecture of the organization, and the availability, accessibility, and necessity for data to help inform the decision-making processes.

Consulting 59

Consulting Data Governance ROI Digital Transformation 59

CIO Business Intelligence

MARCH 7, 2023

The message to CIOs is to do more with less, and the implication is that CIOs must look at digital transformation initiatives differently than in years past. Force-multiplying digital transformation initiatives aim to accomplish multiple strategic objectives through a single vision and investment.

Digital Transformation 145

Digital Transformation Data Governance Experimentation Machine Learning 145

erwin

OCTOBER 16, 2020

quintillion bytes of data every day, and 90% of the world’s data volume has been created in the past two years alone. With this absolute data explosion, it’s nearly impossible to filter out the time-sensitive data, the information that has immediate relevance and impact on your business.

Internet of Things 145

Internet of Things Data-driven Uncertainty Data Governance 145

CIO Business Intelligence

APRIL 29, 2022

The strategy should put formalized processes in place to quantify the value of different types of information, leveraging the skills of a chief data officer (CDO), who should form and chair a data governance committee. Prioritize your investments. Contact HPE to learn more. __. About Ian Jagger.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132

CIO Business Intelligence

MARCH 27, 2023

Organizations are still investing in data and analytics functions. Respondents to the survey reported their organizations are increasing investment in data management (65%), data governance (63%), and advanced analytics (60%). million, and 44% said their data and analytics teams increased in size over the past year.

Data-driven 145

Data-driven Data Quality Strategy Reporting 145

erwin

APRIL 27, 2022

Best Data Governance Solution (erwin Data Intelligence). Best Data Modeling Solution (erwin Data Modeler). Best Data Security Solution (Quest ApexSQL). This award is especially significant because the winning information management solutions are chosen by the people who use them.

Data Governance 52

Data Governance Digital Transformation Metadata Data Warehouse 52

erwin

JUNE 19, 2020

Evaluating risks and the impacts of change and creating a roadmap with such evaluations considered. A skewed focus on technology would mean that the processes, people and other variables required to inform strategy are ignored. They then use their strategic planning perspective to inform and delegate to solutions architects.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

Anmut

MARCH 22, 2023

Data maturity models are a crucial step for any organisation looking to improve their data, informing if your current data practices are helping, or holding back, your business. ? Click the links below to navigate to different sections What are data maturity models?

Measurement 52

Measurement Modeling Data Quality Data Governance 52

Alation

JUNE 23, 2022

Respondents in much larger (and smaller) organizations were most likely to call data catalogs critical, with 65% of respondents in organizations exceeding ten thousand employees calling data catalogs critical or very important. Data governance now a must-have feature. Integration with self-service data-prep tools.

Reporting 52

Reporting Data Governance Data-driven Digital Transformation 52

erwin

SEPTEMBER 6, 2021

No matter the percentage, dark data inhibits strategic and daily operational decision-making, increases organizational risk, reduces employee efficiency and lengthens the timelines of critical initiatives. To combat dark data and shine a light on available data, many organizations are turning to data intelligence software.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

CIO Business Intelligence

APRIL 4, 2022

By Derrick Lowe, Chief Information Security Officer at Orlando Health, a Palo Alto Networks customer. Several of these are highly regulated, have exacting data governance mandates and deal with huge and growing volumes of data essential to their daily and long-term business operations. And why not?

Internet of Things 102

Internet of Things Risk Metrics Digital Transformation 102

Cloudera

MARCH 25, 2021

Personal and confidential information carries heightened sensitivity in the light of financial, health and insurance activities. Security and controls around such data is critical as any breach or misuse can ultimately impact the well-being – financial and reputational – of an individual or business. It’s just not easy.

Data Strategy 65

Data Strategy Strategy Enterprise Insurance 65

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

CIO Business Intelligence

NOVEMBER 21, 2023

In the process, my team and I aim to accomplish the following: Developing an AI strategy that aligns with the DAF’s digital transformation efforts and contributes to the national defense strategy. Establishing a robust data governance framework to ensure the ethical and responsible use of AI-powered technologies.

Strategy 119

Strategy Machine Learning Technology Data-driven 119

Alation

APRIL 27, 2022

Organizations that do not embrace data culture risk lost revenue and competitive disruption. Taken together, these findings show the revenue growth risk for enterprises that have not yet invested in building a data culture. The C-Suite Data and Analytics Investment Strategy Gap. Technology is advancing rapidly.

Reporting 52

Reporting Data-driven Digital Transformation Data Governance 52

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. What is Cloud Transformation? Leverage a Data Governance Solution.

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

erwin

JUNE 19, 2020

Evaluating risks and the impacts of change and creating a roadmap with such evaluations considered. A skewed focus on technology would mean that the processes, people and other variables required to inform strategy are ignored. They then use their strategic planning perspective to inform and delegate to solutions architects.

Enterprise 94

Enterprise Data Architecture Strategy Data Governance 94

Alation

JUNE 22, 2021

Edward Russo once said, “the first thing most people will do when given access to tools and data is selectively filter information to prove previously established conclusions.” 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 30, 2024

Build your network continuously Joe Puglisi, former CIO and now investor, advisor, and board member, leads a weekly call for the Society of Information Management (SIM) Members in Transition program. Describe your role — and skills you apply — in digital transformation initiatives drawing from past accomplishments relevant to the position.

IT 88

IT Technology Advertising Marketing 88

Alation

APRIL 18, 2023

In the past, experts would need to write dozens of queries to extract this information over hours or days. Today, data profiling tools have made this process instantaneous, accelerating peoples’ ability to deliver new data products and troubleshoot quality issues. It’s a huge time saver, and it gives you so much information.

IT 52

IT Metadata Data Quality Data Governance 52

erwin

MAY 14, 2021

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). Click here for your free trial of erwin Data Modeler.

Modeling 80

Modeling Digital Transformation Data-driven Optimization 80

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