Scott Taylor – The Data Whisperer shares some BAD DATA IDEAS. These are ideas that I think are bad about data but they're not about bad data. These are not going to work. They are Bad data ideas.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of data value. Part 9 FINDING TRUTH AND MEANING: How do we start to put your data to work? These are use cases or notions or ways people look at using data itself. this are all the things that I've seen that people do with data.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 8 CIRCULATE: Data has to move Data, to have value, has to be in motion. It cannot be stuck in a silo. It can't be held by people in your organization because they want to keep their job. Those days are already over.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 7 COMMUNICATE: You want to be able to communicate cleanly and consistently and master data allows you to do that. Do we speak the same language? Do we understand each other? Do we have common definitions?

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 6 EVALUATE: Once you've built this foundation, then you can start to evaluate. That's where analytics comes in. If you don't have that truth on the bottom, you're not going to get adequate meaning.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 5 INTEROPERATE: Take standardized data and put it into a process that allows your business to scale connect with other entities, connect with other systems, where you can do things seamlessly.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 4 AGGREGATE: Then you begin to aggregate. You want to be able to aggregate all that data up. How do you pull all these things together. Aggregate up to the market level, to the company level, to the category level.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 3 INTEGRATE: - You want to INTEGRATE data. You want to take all these disparate sources of data you have and pull them all together in some way. It could be physically. It could be virtually.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 2 VALIDATE: First thing you do with a relationship is validate it. You want to make sure you've got that validation process in there before you move forward. That's where a lot of data trouble starts.

Scott Taylor – The Data Whisperer covers the 8 ‘Ates of finding data value. Part 1 RELATE: Everybody wants to build relationships. You want to Relate that's what business is all about is building relationships. No relationships. No business Simple equation.

How is Master data still relevant to companies today? Master data is probably the oldest kind of data being this foundational structured list of the things that are most important for an organization. My feeling is Master Data is Macro-Trend agnostic.

Scott Taylor – The Data Whisperer - Data has to move Data, to have value, has to be in motion. It cannot be stuck in a silo. It can't be held by people in your organization because they want to keep their job. Those days are already over.

The classic challenge is: You’ve got multiple departments and systems You've got different regions. You've got different go-to-markets. You've got data from third parties. Multiple systems and workflows create disparate data with different definitions that lack internal standards.

A little holiday fun as The Tech Talk Puppets launch THE 12 DAYS OF DATA MANAGEMENT. Epic, extended Director’s cut versions - Join The CDO (Chief Dog Officer) and his industry Friends as they unveil the DATA PROBLEM that needs to be FIXED.

A little holiday fun as The Tech Talk Puppets launch THE 12 DAYS OF DATA MANAGEMENT. Join The CDO (Chief Dog Officer) and his Friends as each day they unveil the DATA PROBLEM that needs to be FIXED. DAY 1? Is of course, The Data Whisperer,. But WHO WILL BE NEXT? Keep watching, 11 more to come.

MDM can equal? PAIN! It does equal pain. I've been in the space long enough that I've learned people don't use those kind of nice business euphemisms like “we have a challenge” or “we have a hurdle” They talk about physical pain. I'm going to show you what pain looks like.

Master Data is a single source of common business data used across multiple systems, applications, and processes. It's the nouns of the business. Your customers, your vendors, your partners, your prospects, your brands, your services. The things you make, the people you buy from and sell to.

If I had a minute with a CEO and I'm trying to pitch them I wouldn't whine about data quality I’d say we don't have a common definition and a common structure for our customer. There's not a CEO who thinks that they should have better data quality. That’s not what they are thinking about.

The Golden Rule of Data: What you put in is what you come out with. Master data feeds every type of enterprise system. As we say “rubbish in, rubbish out - garbage in, garbage out.” So do upon your data as you would have it do upon you.