At the Salesforce Connections 2019 conference, they emphasized user experience innovation and optimization throughout the entirety of the conference in direct and indirect ways. Read our major takeaways.
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.
This year’s #datasummit2019 in Boston was all about possibility of what is to come with AI and ML, of how companies can compete with next-level analytics, and of course how data access, control, and quality drive the success of these initiatives. Explore the takeaways and insights!
Last week, Gartner released the new 2019 Magic Quadrant for Data Quality Tools. The report provides an overview of the players in the space and the “key capabilities that organizations need in their tool portfolio, if they are to address the increasing importance and urgency of data quality”.
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.
Bad customer data can be likened to a bad social media gaffe where a brand gets something wrong and all hell breaks loose. The immediacy is felt and negative brand equity is generated. But typical to Twitter, it is instantaneous—and in most cases, the outrage is short-lived. Often, it’s because a business isn’t quite aware of what audiences it is catering to and what they may or may not be interested in hearing.
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.
Cleaning your house is always a good idea. I especially love to clean on rainy days, like the one we’re having in Boston today. It gives you the chance to get rid of and organize all that clutter. Taking the opportunity to enhance your space by getting rid of the junk and allowing the important details to shine will bring a sense of clarity. The same goes for your data! Every data set could use a little sprucing up. Rather than waiting for a rainy day, it’s even better to give your data a regular dose of cleansing. After cleaning up the data in your system, you are open to a whole new world of cost savings and enhanced customer experience.
This year’s AAMVA International Conference (AIC) was held in the “City of Brotherly Love”—Philadelphia, Pennsylvania. As it does each year, the AIC attracted representatives from across the North America who work in the public sector, particularly those that work in the motor vehicle space. The conference, which ran from August 21 – 23, covered many of the most pressing topics currently facing those in the motor vehicle space. There is a major emphasis on improving the customer experience and reducing wait times at department of motor vehicle branches in regions across America. One of the major areas of emphasis comes around the regulations for REAL ID.
Across nearly every industry, data has become a key driver for critical business initiatives. At the same time, data will only add value to your business when it is trustworthy and actionable. That means there should be a robust and reliable data quality management strategy in place that aligns with the needs of your entire organization. The best way to justify the need for investing in a data quality management strategy is to identify the areas in which it will benefit the business as a whole. Here are the top four reasons to invest in data quality management.