Location Data: Why You Need to Know Where Your Customers Are

Location Data: Why You Need to Know Where Your Customers Are

MapAnything deals with location data, letting you know where your customers/prospects are. It’s a different kind of data topic than we’re used to covering on this show, but it’s definitely just as interesting. Listen in as Brian Bachofner, Head of Alliances at MapAnything, shares how location data can transform the way everyday sales reps succeed in their jobs. Don’t have time to listen to the episode now? Click here to download for free and read later!   “It’s about resource allocation, making sure sales reps have the right people in the right… Click To Tweet Think about a day in the life of the sales rep. What things are they dealing with? They’re… Click To...
The State of Data Privacy in Europe vs. the United States

The State of Data Privacy in Europe vs. the United States

Over the last ten years, there’s been much more of a focus on privacy in Europe. In the U.S., CAN-SPAM was the line in the sand and everyone got through that legislation. But in Europe, there are some really draconian measures that have come out. A lot of companies have corporate data policies driven more out of fear than necessity. These are just some of the current differences in privacy and data handling between the U.S. and the UK. In this post, we summarize our recent interview with Karie Burt, VP International at MeritDirect, who explained that difference and others on the Corporate Data Show. Rick A UK client of ours purchased something recently. We produced a file of a few thousands records and either share-filed it or emailed it to them. Either way, there was no password for pickup and it wasn’t a locked sheet or anything. That’s pretty standard data delivery practice in the US. We got a little slap on the hand and basically heard, “What horrendous security practices are these?” Shine some light here. Help the audience understand how to avoid the proverbial faux pas. Karie You’ve committed a cardinal sin there. I’ll come visit you in jail. Seriously, though, there’s been much more of a focus on privacy in Europe. A lot of companies have corporate data policies driven more out of fear than necessity. That’s probably what you tapped into with your client: someone in Legal or Compliance said, “No pushing data around.” It’s indicative of a bigger issue. To my mind there’s become a blurring of business and consumer data. In the...
How Privacy and Data Policies Differ in Europe

How Privacy and Data Policies Differ in Europe

Over the last ten years, there’s been much more of a focus on privacy in Europe. In the U.S., CAN-SPAM was the line in the sand and everyone got through that legislation. But in Europe, there are some really draconian measures that have come out. A lot of companies have corporate data policies driven more out of fear than necessity. These are just some of the current differences in privacy and data handling between the U.S. and the UK. Listen in as Karie Burt, VP International at MeritDirect, explains that and others. “To my mind there’s become a blurring of business and consumer data.” – Karie Burt “I’m all for best practices, but I’m also a businessperson and I’m for helping companies grow.” – Karie...
The Corporate Data Show – Episode 9 – Mark Godley – HG Data

The Corporate Data Show – Episode 9 – Mark Godley – HG Data

When looking for data sets, it can be tempting to choose the company with the biggest boast. If the website claims the company aggregates data from 30 million companies that’s good, right? Well, maybe. But without knowing where that data comes from, or what pieces of information the data provides, that nice big number is actually pretty meaningless. The reality is that data aggregation is a more nuanced matter when you’re looking for information that is both precise and actionable. In this episode, Mark Godley, CRO for HG Data, talks about how the new methodology of data aggregation HG Data created gives their customers a “ridiculously unfair advantage.” “Don’t be caught up in the big data hype; ask critical questions.” – Mark Godley Click To Tweet...
3 Components for Maximum Data Creation

3 Components for Maximum Data Creation

Technology is changing the data game in the corporate world, but not all data is created equal.  In this increasingly new business world, those who thrive competitively via technology must understand the data they’re receiving and how it can be used to their advantage. This week on The Corporate Data Show we talked to Tim Harsch, the Co-Founder and Head of Product at Owler, which is one of the largest competitive data providers and intelligence platforms in existence.   Originally founded as Info Army Inc., Owler recently surpassed half a million users, making them also one of the largest business communities online.   The expansion of the company has led to a data compilation on scope that is growing exponentially.  How are they managing that data?  And how will the company continue to be successful in providing quality data and becoming financially prosperous? Data Creation: A Three-Legged Stool No one wants to sit on a broken stool.  In a digital age where data is shared in fantastic quantities, the wobbly stool of data quality can be even more unstable. The manner in which data is collected, analyzed, and presented is of utmost importance.    Data, it seems, is a living, breathing thing.  How is it created?  Tim says there are primarily three ways that they look at data creation at Owler: 1. The Human Model The most traditional and straightforward method, this is typically a team of in-house analysts that gather and analyze data.  Although the efficiency of collecting and processing mass amounts of data has perhaps surpassed the human element, the in-house team is the beginning and end of the circle...
20% of Your Data Could Be Bad: Here’s How to Fix It

20% of Your Data Could Be Bad: Here’s How to Fix It

When you think about how much bad data can really cost you, it’s important to make sure that your info is deliverable, callable, and emailable. Okay, so, you’ve got a lot of data—and who doesn’t, these days? How can you be sure that the data you’re using is quality, and without spending a ton of resources? Bud Walker, the Vice President of Strategy at Melissa Data, appears on The Corporate Data show today to explain why focusing on active data quality can save and make both time and money (plus he gives tips on how to convince management that this is worth their attention). He answers five essential questions about data quality that can transform the way you think about big data. 1. How can organizations avoid drinking data from a firehose? Well, it’s not the data itself you want to avoid, Walker says. It’s bad or unhygienic data quality that is so damaging across the industry. Lately, organizations have ramped up the amount of data they’re dealing with. As corporations continue to produce and try to accumulate data from pretty much everywhere, that means there’s a lot of initiatives in big data going crazy right now. While customer-related data is Melissa Data’s specialty, it really comes down to data quality, not quantity, when you’re talking about using data efficiently. 2. What are the most problematic errors in data quality right now? All kinds of different business will have different problems, but point of entry problems are a significant area organizations should look to for data quality errors. For example, call centers and sales teams enter the wrong contact...
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