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The Data Practitioners Group (DPG) was established in 2025 by Principal/Founder Mary Anne Hopper.  Our mission is to support our clients in their Data Strategy or Data Governance journey by meeting them where they are from both a maturity and budget perspective.  Our tiered service guides are designed to do just that.  How do you know if DPG can help you?  Take a look below and if any of the quotes sound familiar in your organization, then the answer is Yes!

 

Sound familiar?

DPG Data Strategy Framework

DPG Data Strategy Framework

What Users Say

Why Users Say It

What Users Want

  • “we need Rosetta Stone for our data”

  • “the most time-consuming part is to find what you’re looking for”​

Users spend a lot of their time trying to understand data on their own or relying on others to interpret meaning for them. 

Metadata

  • Common definitions

  • Data catalog

  • Data dictionary

  • “not knowing something exists is a greater liability than not using what is available”

  • “wait, where did this data come from?”

  • “if I need the data, so and so can whip me up a SQL query”

There are very few people with the ‘know how’ and the tools to access data.  Users find it easier to maintain their own data sets instead of accessing a common repository or trying to find someone to help them.

Data Access

  • Availability

  • Accessibility

  • Ease of use

  • “depending on which query you run you get a different answer”

  • “the place we pull the data from doesn’t balance to itself”

Users expend manual effort to resolve data discrepancies across data sources.

Data Trust

  • Consistency

  • Reliability

  • Automation 

  • “we don’t really know who does that”

  • “…screaming into the void hoping the right person answers you back”

Users do not know who to contact when there are data related questions. 

Data Ownership

  • Process definition

  • Go-to person

  • Usage guidelines

  • “the most time consuming part is to find what you’re looking for”

  • “it’s a new Governor by the time we the answer”

  • “need to unlock the creativity of the bright people in our organization”

As users become more data aware, they spend more time hunting, finding, waiting, or defending their outputs than actually interpreting what the data is telling them.

Data Analytics

  • Contextual

  • Relevant

  • Timely

  • Repeatable

  • “we are duplicating a lot of information”

  • “I’m living in spreadsheet hell”

  • “I should be able to run my reports”

Users grow frustrated with ballooning and undocumented data ecosystems that can make identifying, provisioning, storing, and integrating data somewhere in between difficult and impossible.

Data Architecture

  • Unfragmented data

  • Common platform

  • Standards

  • Scalable solution(s)

  • Repeatability

  • “we have a culture of independence and resistance”

  • “we have departments where all they do is protect themselves against bad data”

Users are tired of not knowing who to call and when to call resulting in repeated efforts and multiple data sets with oftentimes differing results.

Culture

  • Break silos

  • Transparency

  • Communication

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