AI By Einstein: Use All That Data

Dreamforce 2016 is officially behind us, and Salesforce didn’t miss a beat with the roll out of Einstein. The entire event was based around the launch of the integrated Artificial Intelligence program, which is fully integrated within Salesforce. The foundation of Salesforce is finding ways to connect and engage with the customer. Technology is more…

The True Cost of Bad (And Clean) Data

Bad data runs rampant throughout many organizations, ranging from incorrect information, missing information, inaccurate information and outdated data. This bad data can be more than a thorn in your side — it can actually hinder your business success, and cost you a ton of money. According to this EBiz article, on average, corporate data grows…

100 Consequences of Bad Data Standardization

Bad data impacts all aspects of business from employee morale to lost customers. Working in the data quality space for over 10 years, RingLead has seen its share of bad situations. So in collaboration with customers, partners and employees here at RingLead, we’ve developed a pretty long list of what happens when your data is…

Dreamforce and the Road to Data Quality

Data has been given a lot of attention this year, especially by thought leaders and visionaries at Dreamforce. Although Big Data receives the attention, it’s becoming clear across many industries that Dirty Data is the real big news. If companies want to set themselves up for success in the 2020 marketplace, they better get a handle on how to fix…

4 Steps to Fixing Your Bad Data

Reputational risk is only the tip of the iceberg when it comes to bad data quality. From falsified mortgage applications and bundles of toxic mortgages, to incorrect credit ratings and balance sheets that couldn’t be trusted, the financial crisis is as much about bad data as it is about unfettered greed. And no industry is…

Bad Data Habit

A rising executive, while going over the numbers for tomorrow’s big presentation, notices something odd. She asks her assistant to check it out. He digs in, finds the error (in data supplied by the Widgets Department), corrects her presentation, and sends her an email advising what he’s done. Her presentation is well-received, with that figure…