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Have flexible guidelines
Best practices work because the companies
make them work
– What works for one may not work for you
Practices have to also fit into your financing
and organizational philosophies
– Is it your goal or your practice that is wrong?
Take what works and build on it
– Motivation, organization, funding
Can’t run to second while you are still
standing on first
Have a set of guiding principles
– General processes that set the path
– May be fine tuned within parameters
Align and direct resources
– ETL, Modeling, and Applications should all
consider the total picture
Put funding where it matters
– What project funds integration?
– What project funds data quality?
Need to have cooperation and integration
– Still inconsistent and unrelated
– Each group has little interest in other groups
– Consistent, relationships remain intact, reusable
– Shared service levels and prioritization
Shared outlook creates Friendship
– Are your metrics shared across IT and Business
– Do your business users take ownership of the
data in the warehouse?
It is almost always easier
but rarely is it right thing to
Every obstacle is an opportunity
– Value of action
– Service level agreements
– Business definition consistency
– Determining Ownership
– Business case development
– Prioritization of development
Mom always said “don’t play ball in the
Understanding the consequences are
Plan for the known, even if not immediate
– “Baby-proof” your data warehouse
– Look for where time and cost accumulate
Growth always happens, are you ready?
– Capacity, performance, expectations
Have rules and enforce them,
Sometimes you have to say NO
You get the behavior that you tolerate
– Implies workload
– Implies management
– What is missing?
– Why is the old system still used.
Where is the right place for work
– Extracts are a red flag
– ETL vs. ELT, Analytics heavy lifting
ElHi and beyond
– Teradata works differently
– Define and forget
– Is your training being enforced with efforts
– Lunch and learns, workshops, and others
– Need business education as well
– Understanding the data
Metrics, Measure, Modify
– Do your metrics reflect your priorities?
– Do your metrics align across functions?
– Are your metrics visible by all?
– Do the measurements reflect timeliness
– What behavior do you want to see?
– What rewards and communications are in use?
If you want responsibility,
you also must have
Ownership changes everything
Data Definitions and quality
– Not just consistent but also accurate
– If it is wrong, what happens to your actions
Value of performance
– When do you know, when can you know?
– What actions change with time?
Where to put your next dollar
– What data enhances your decisions?
– How can you get others to join in?
What do you want to be?
Data Warehouse Roadmap
– What comes next
– What can be leveraged elsewhere?
Application, Data, and Systems
– Plan is not just about data
– What goal are you trying to reach?
Priorities lead decisions, and actions
– Governance, not regulation
– How to get self service
Realize that you
have to let go…
but you never stop
being a parent