2019 Data Governance Data-driven Digital Transformation 
CIO Business Intelligence
MAY 10, 2023
My team and I are very proud of our transformation that started in 2019,” she says. “My My team and I are very proud of our transformation that started in 2019,” she says. When I joined, there was a lot of silo data everywhere throughout the organization, and everyone was doing their own reporting.
erwin
JUNE 14, 2019
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. Digital Transformation in Retail.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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.
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.
Cloudera
MARCH 3, 2022
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. . Everyone Fails Data Governance.
erwin
FEBRUARY 21, 2019
Much like the hospitality industry , digital transformation in retail has been a huge driver of change. Coming into 2019, consumers are in control when it comes to retail. ” This is arguably the result of the degree of digital transformation in retail that we’ve seen in recent years. Choices are abundant.
erwin
NOVEMBER 28, 2019
In the era of data-driven business, such perspective is critical. EA also enables a better understanding of change, or impact analysis – which is essential considering the agile, data-driven landscape and its state of flux. Related content: 2019 Gartner Magic Quadrant for Metadata Management Solutions.
Expert insights. Personalized for you.
115 
Let's personalize your content