Denver DataMan Blog

By: Steve | On: 4/11/2018

In the article, “Top 4 Things Sales Leaders Should Prioritize Before Speaking to CRM Vendors,” Gartner's Tim Stafford explains what companies should be looking for when aligning with a CRM consultant.  

By: Steve | On: 4/9/2018

One of the challenges that all CRM administrators have is how do you manage duplicates. In today's world data comes from many sources. Multiple people are entering data which can include emails, physical addresses, and phone numbers can be temporary. Information on individuals and companies is often intensely duplicated, similar but not a duplicate, and more, making deduplication a virtual nightmare. 

By: Steve | On: 4/1/2018

GDPR is the European Union's General Data Protection Regulation and it has impacts for many businesses that collect data from citizens of the EU.  The enforcement of GDPR starts 25 May 2018 or May 25, 2018, for us Americans.  

By: Steve | On: 4/1/2018

You do not have to look far to see examples of data breaches where data on the Internet is exfiltrated. Just last week Under Armour admitted to a large attack and as I am writing this, details are coming out about an attack on Saks Fifth Avenue, Lord & Taylor stores.

By: Steve | On: 3/23/2018

Everyone in business has data. We collect data on our customers, our products, our support and much more.  Often the data that we want to use and understand is in disparate sources making it hard to create reports and connections.  These connections are often what can drive innovation and growth. 

There are lots of services on the Internet and tools that companies like Denver DataMan build to bring data together.  But the questions is always, why can I not just see this data in the tools I use?

Data Schema IconThe challenge is that data comes in lots of different shapes, sizes, and organizational patterns, or as we geeks call it, schemas.  If I want to compare data from two sources, I need to make sure I am comparing the same attributes. Hence, a new schema must be born that can account for the data that I am comparing. For example, if one source has data separated by hours and another by days, I will combine the hours so that they can be shown as days.  

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