Data cleansing

In today’s uncertain retail environment maximizing customer satisfaction requires anticipating the challenges customers may face. When you validate your addresses, you are making things right. By having accurate shipping addresses, you can avoid bad outcomes that result in lost goods.

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!

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.

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.

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. 

This past week I attended the Northern California Assessors Conference (NCAA) in South Lake Tahoe, CA. This conference provided an opportunity to network with county assessors across the region and understand opportunities to maximize success. 

In the ever-increasing pace of today’s business environment, everyone is looking for ways to maximize the outcomes of their efforts and create more efficient processes. And more and more, organizations are looking to data to be the fuel that accelerates their business. According to our 2018 global data management benchmark report, 99 percent of businesses believe being data-driven gives their organization a competitive advantage. They believe that advantage includes better insight for decision making (57%), more efficient business practices (57%), and better customer relationships (56%). The thing is, though, that being data-driven only provides these benefits when the data driving the strategy is high-quality and accurate.

Business leaders today are using data to power all sorts of initiatives, from uncovering revenue opportunities to complying with regulations. More and more, data is becoming a mission-critical asset that many argue should be tracked on a balance sheet. In fact, nearly all of the C-level executives in our 2018 global data management benchmark report (95%) believe that data is an integral part of forming their business strategy—a sentiment that has increased by 15 percent over the prior year.

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.

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.