Digital Transformation Examples: Three Industries Dominating Digital Transformation

erwin

Digital transformation examples can be found almost anywhere, in almost any industry. Amazon began as a disruptor to brick-and-mortar bookstores, eventually becoming one of the most obvious digital transformation examples as it went on to revolutionize online shopping. As technology continues to disrupt markets, digital transformation is do or die. Digital Transformation in Retail. This is an important data point for marketing strategy.

How a Smart Catalog Tools Streamlines Digital Transformation

DataFloq

Of late, digital transformation initiatives have increased across industries. And, you can expect the trend to gain momentum further.According to IDC, companies will allocate more than 50 per cent of their IT spending to digital transformation initiatives by 2024.

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Business Architecture and Process Modeling for Digital Transformation

erwin

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. This post outlines how business architecture and process modeling come together to facilitate efficient and successful digital transformation efforts. So the business and digital transformation playbook has to be updated.

Constructing A Digital Transformation Strategy: Putting the Data in Digital Transformation

erwin

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Part Two of the Digital Transformation Journey … In our last blog on driving digital transformation , we explored how enterprise architecture (EA) and business process (BP) modeling are pivotal factors in a viable digital transformation strategy.

The Insights Beat: Time To Spring Into Action, Clean Up Your Data, And Make It Blossom!

Forrester Digital Transformation

As the leaves start to grow again and the weather warms up, what better time than now to do some much-needed spring cleaning of your data and insights practices?

What Is Data Governance? (And Why Your Organization Needs It)

erwin

Organizations with a solid understanding of data governance (DG) are better equipped to keep pace with the speed of modern business. In this post, the erwin Experts address: What Is Data Governance? Why Is Data Governance Important? What Is Data Governance?

Digital Transformation In Retail: The Retail Apocalypse

erwin

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. Enabling each of these strategies is data – and lots of it. At its core, this is what digital transformation in retail seeks to achieve.

Data Governance 2.0: The CIO’s Guide to Collaborative Data Governance

erwin

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Creating a Culture of Data Governance. Data Security.

Digital Transformation in Municipal Government: The Hidden Force Powering Smart Cities

erwin

When you think of real-time, data-driven experiences and modern applications to accomplish tasks faster and easier, your local town or city government probably doesn’t come to mind. But municipal government is starting to embrace digital transformation and therefore data governance. Municipal government has never been an area in which to look for tech innovation. Then an odd thing happened – the rest of the world started transforming.

Automating Data Governance

erwin

Automating data governance is key to addressing the exponentially growing volume and variety of data. Data readiness is everything. Whether driving digital experiences, mapping customer journeys, enhancing digital operations, developing digital innovations, finding new ways to interact with customers, or building digital ecosystems or marketplaces – all of this digital transformation is powered by data.

Digital Transformation Examples: How Data Is Transforming the Hospitality Industry

erwin

The rate at which organizations have adopted data-driven strategies means there are a wealth of digital transformation examples for organizations to draw from. By now, you probably recognize this recurring pattern in the discussions about digital transformation: An industry set in its ways slowly moves toward using information technology to create efficiencies, automate processes or help identify new customer or product opportunities.

The What & Why of Data Governance

erwin

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.

Why EA Needs to Be Part of Your Digital Transformation Strategy

erwin

Part three of erwin’s digital transformation blog series. . Enterprise architecture is invaluable for internal business intelligence (but is rarely used for real intelligence), governance (but often has a very narrow focus), management insights (but doesn’t typically provide useful insights), and transformation and planning (ok, now we have something!). Automated data collection and connection is costly and error-prone.

Data Governance Maturity and Tracking Progress

erwin

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. erwin Data Intelligence.

Governing for digital transformation and growth

Cloudera

Ask a CIO where their focus lies and ‘digital transformation’ as well as ‘growth’ will come into the conversation quite quickly. The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer). Both rely virtually entirely on the enterprise leveraging of data.

How Data Governance Supports Analytics

Alation

How do businesses transform raw data into competitive insights? Data analytics. As an organization embraces digital transformation , more data is available to inform decisions. To use that data, decision-makers across the company will need to have access.

Doing Cloud Migration and Data Governance Right the First Time

erwin

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.

What’s the Current State of Data Governance and Automation?

erwin

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.

How Data Governance Protects Sensitive Data

erwin

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.

Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Don’t Fear Artificial Intelligence; Embrace it Through Data Governance

CIO Business Intelligence

As someone who is passionate about the transformative power of technology, it is fascinating to see intelligent computing – in all its various guises – bridge the schism between fantasy and reality. This first article emphasizes data as the ‘foundation-stone’ of AI-based initiatives.

The Role Of Data In Enterprise Digital Transformation Initiatives

Anmut

Enterprise digital transformation and data. Most organisations undergoing a digital transformation understand that data is critical, but how many are actually managing data as an asset ? Your data isn’t fit for purpose. Why data assets matter .

The Third Pillar of Data Culture: Data Governance

Alation

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.

Why Data Governance Is Crucial for All Enterprise-Level Businesses

Cloudera

Whether the enterprise uses dozens or hundreds of data sources for multi-function analytics, all organizations can run into data governance issues. Bad data governance practices lead to data breaches, lawsuits, and regulatory fines — and no enterprise is immune. .

Data Governance and Metadata Management: You Can’t Have One Without the Other

erwin

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Cataloging (61%). Data Mapping (53%).

Top 10 Data Governance Predictions for 2019

erwin

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. And then, the European Union’s General Data Protection Regulation (GDPR) took effect , with many organizations scrambling to become compliant. So what’s on the horizon for data governance in the year ahead?

Data Fabrics, Data Meshes and the role of Data Virtualisation

Data Virtualization

The post Data Fabrics, Data Meshes and the role of Data Virtualisation appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

The Rising Need for Data Governance in Healthcare

Alation

Healthcare is changing, and it all comes down to data. Data & analytics represents a major opportunity to tackle these challenges. Indeed, many healthcare organizations today are embracing digital transformation and using data to enhance operations. Lab data.

Cloud Migration and the Importance of Data Governance

erwin

Tackling data-related challenges to keep cloud migration projects on track and optimized. The cloud has many operational and competitive advantages, so cloud-first and other cloud transformation initiatives continue to be among the top data projects organizations are pursuing.

Top 10 Data Governance Trends for 2020: Data’s Real Value Comes Into Focus

erwin

Understanding the data governance trends for the year ahead will give business leaders and data professionals a competitive edge … Happy New Year! Regulatory compliance and data breaches have driven the data governance narrative during the past few years.

Implementing Data Virtualization for the First Time

Data Virtualization

Data virtualization is a powerful data integration and data management approach, but if you are implementing data virtualization for the first time, it helps to know how to overcome some typical challenges.

Top 7 Data Governance and Metadata Management Blog Posts of 2019

erwin

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. The Best Data Governance and Metadata Management Blog Posts of 2019.

3 Steps to Faster Insights in Data Analytics

Data Virtualization

In recent years, we have seen wide adoption of data analytics. Some issues that have been most often cited for this include: Poor data quality: While preparing. However, most organizations continue to find it challenging to quickly yield actionable insights.

The Business Value of Data Virtualization is Time (and Speed)

Data Virtualization

“Technology changes, economic laws do not.” This is one of the most important concepts highlighted in 1994 by Carl Shapiro and Hal R. Varian in their book Information Rules. This simple idea describes the importance of the real effectiveness of.

Top Use Cases for Enterprise Architecture: Architect Everything

erwin

Architect Everything: New use cases for enterprise architecture are increasing enterprise architect’s stock in data-driven business. 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. The Regulatory Rationale for Integrating Data Management & Data Governance.

Enterprise Architecture and Business Process: Common Goals Require Common Tools

erwin

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.

Best Practices for Metadata Management

Alation

Metadata is information about data. Folks who work closely with data, like analysts, data scientists, and IT teams, rely on metadata to give them crucial context for how to use a given asset. Chris Bulock, co-author of Knowledge and Dignity in the Era of “Big Data”.

Data Mapping Tools: What Are the Key Differentiators

erwin

The need for data mapping tools in light of increasing volumes and varieties of data – as well as the velocity at which it must be processed – is growing. Data mapping tools have always been a key asset for any organization looking to leverage data for insights. Isolated units of data are essentially meaningless. By linking data and enabling its categorization in relation to other data units, data mapping provides the context vital for actionable information.

Informatica Continues to Evolve Data Management Platform

David Menninger's Analyst Perspectives

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management.

Data Privacy vs. Data Security: Definition and Comparison

Alation

Is your data protected? Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. So how are data privacy and security distinct? Data security, on the other hand, focuses on unauthorized access to data.

Risk 52

How Metadata Makes Data Meaningful

erwin

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. Managing metadata should not be a sub-goal of data governance.

Why Collaboration Matters in Analytic Processes

David Menninger's Analyst Perspectives

As I continue my evaluation of analytics and data vendors , I have to admit some disappointment at the level of collaborative capabilities some analytics vendors provide. So, what impact does a lack of analytics collaboration have on organizations undergoing digital transformation? business intelligence Analytics Collaboration Data Governance Data Preparation Information Management Data Digital Technology collaborative computing

Integrating SQL and NoSQL into Data Modeling for Greater Business Value: The Latest Release of erwin Data Modeler

erwin

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).