We at EDQ kicked off June by attending the Data Governance and Information Quality (DGIQ) Conference in sunny San Diego, California. Read what we took away from the event and see what trends the data experts are seeing and talking about!
The 2019 Collibra Data Citizen event was pulsing with excitement. It exceeded over 600 attendees and even required an extra day to fit in all the topics that the Collibra community wanted to address. The message of the event was clear: governance has a long-term future within organizations.
Ninety-five percent of organizations see impacts in their organization from poor data quality. This statistic is just one of many findings that our annual 2019 Global data management research report unearthed.
Digital transformation is the modern-day Gold Rush. To reach new markets and grow revenue, business leaders across industries are flocking to embrace new technology and digital processes. And it’s no wonder why! The digital economy offers a myriad of benefits to businesses and consumers alike. While consumers can expect mobile-optimized and personalized experiences, businesses will appreciate having better insight for decision-making and product innovation. However, digital transformation also brings its own set of challenges, from external regulatory hurdles to internal technology limitations.
Last week, I had the privilege of attending the 2018 MIT CDOIQ Symposium in Cambridge, Mass. The event brings together data practitioners and business leaders from a variety of sector to advance the professional development of Chief Data Officers. Throughout the three days of workshops and classroom-style lectures, attendees were treated to a rich agenda with topics ranging from regulation to artificial intelligence. While I wish I could have attended all of the sessions, I wanted to share some common themes from the workshops I did attend.
Last week, myself and members of the Experian team attended the MDM and Data Governance Summit in Chicago. The main topics of this conference were MDM (Master Data Management) and DG (Data Governance), although at many times, it was difficult to tell the difference. MDM and DG are starting to meld together as one topic, with MDM being the data repository for all (or as much as possible) corporate data, and DG being the documentation and “GPS” for navigating the data (in this case, GPS means “Gain Perspective Simply”.
Data governance refers to the set of processes to ensure data meets precise standards and business rules as it is entered into a system. Data governance enables businesses to exert control over the management of data assets. This encompasses the people, process, and technology that is required to make data fit for its intended purpose.
Last week, I, along with two other members of the Experian team, took our talents to sunny San Diego to soak up some knowledge and spread some insight at the Enterprise Data World (EDW) conference. The conference was packed with some of the best and brightest representatives from organizations across the U.S. and around the globe.
Data lineage charts the full life cycle of data: the path from its creation through consumption, and everything that happens along the way. For organizations interested in achieving strong data management programs, data lineage is a key component. It provides a more granular view of your data, allowing you to gain insights from the ways in which data is manipulated and transformed from collection to application.
Think of classic combinations: peanut butter and jelly, summer and beach days, mornings and coffee. Though the components that comprise these pairings do just fine on their own, they are somewhat incomplete without the other. That’s how you should think of data governance and data quality.