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”.
After running email campaigns, performance metrics start flowing in. There is a gratifying feeling in seeing open rates and click-through engagement. But there are other metrics that indicate the success, or even lack of success, of your email campaigns; yes, I am talking about bounce rates. High bounce rates are the bane of any email marketer’s existence, but they are very common.
So, how you can reduce bounce backs and see better ROI from your email marketing campaigns? The answer may be simpler than you think.
Pride is celebrated across the United States, and across the world, for the entire month of June. Here at Experian, we celebrate diversity and inclusion 365 days a year. Our promise to diversity and inclusion resonates beyond just a mission statement—it’s something we as an organization live out every day. Grace Jakubowski, an Account Manager at Experian, said: “Diversity and inclusion in the workplace is about creating an environment where a person can bring their whole self to work—Experian does that.” This June, we joined in on the celebrations, showing our pride at every one of our offices throughout the United States. All of our offices had different activities, gatherings, and networking opportunities to celebrate the month of Pride for members and supporters of the LGBTQ community.
Have you ever launched an email campaign only to find out that most of your emails never even made it to the intended target due to soft or hard bounces? Have you ever spent a large amount of your budget on syndicated content and then come to find out that your target audience is from a database that was collected from tradeshows and POS systems where a consumer’s email is captured with no verification? How can you determine if those email addresses were correctly captured? Whether the information was wrong at point of capture, or became outdated, these issues ultimately contribute to your company’s email reputation.
As mobile devices continue their rise to prominence, organizations in every industry are clamoring to find ways to optimize the mobile experience for their customers. At this point, a positive mobile experience has become virtually synonymous with a positive customer experience. Simply designing an app or making your website mobile responsive is a great place to start, but how do you continue to optimize the experience from there? A good mobile experience is all about making it as simple and frictionless as possible. And that’s where data quality can truly help.
Data is now at the heart of the digital transformations occurring across the economy and building an advanced data analytics team is one of the keys to competitive advantage. Whether you plan to simply disrupt your own industry or expand into an adjacent segment, data is the key to unlocking opportunity. Data has become a critical corporate asset, and business leaders want to capitalize on the information they hold. But its value is tied to how it’s analysed and by whom. One dataset may be of little value, while another may contain the key to launching a new product line or cracking a challenging marketing question. One might affect only a small percentage of a company’s revenue, while another could reveal an opportunity for significant future growth. How do firms find out? Analytics.
So you convinced your business leadership that investing in a data governance program is in the best interest of the company. Now what? While embarking on a data governance program is an exciting time for any enterprise data management team, it can also be a big undertaking. With little example to follow, those beginning a data governance program, and even those who have implemented one recently, would be wise to follow industry best practices and learn from some of the cautionary tales out there. Knowing what works, and what doesn’t will help you get your program stood up faster and with greater efficiency. Here are the data governance best practices that we saw throughout the 2018 Data Governance and Information Quality (DGIQ) conference:
This past week I had the pleasure of representing Experian along with three of my colleagues in Chicago at IRCE (Internet Retailer Conference + Exhibition). The show ran the full gamut of the world of online retail with Ecommerce industry leaders representing many large online retailers as well as small retailers looking to embrace the next step.
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.
It’s no secret that the quality of your data matters. Your organization’s data is not some mysterious entity that exists only in the realm of technology and analytics, but is in fact a competitive differentiator increasingly used to influence broader business decisions around things like operations and marketing.