Rolling Out a
Data Warehouse
Communication, Coordination
and Collaboration for
Successful Implementation
Presentation Overview
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Background
Communication
Collaboration
Coordination
Implementation Plan
Data Warehouse Tour of Reports
Summary with Q & A
LCPS Background
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66 schools (Elementary, Middle, Intermediate
and High) plus
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1 alternative school
1 technology center
1 academy of science
50,500 students
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Average annual increase between 1996 and 2006
4.2%
Projected increase of 7.1% or 3,379 students for
FY07
LCPS Background
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Growth
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Teacher Mobility
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678 New Licensed Positions (2006)
15.3% Growth from 2005-2006 (3764 to 4442)
12% (estimate) (Attrition, retirement, change
schools) (436 of 3637)
Administration Mobility
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12% (8 of 66 Principals New to Schools – 2006)
Key questions…
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What is the vision?
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Who is the audience?
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Assess current status
Develop a shared meaning/vision among all
stakeholders
Get a long term commitment
Incremental change using appropriate leverage
points
Audience and leverage points change as
implementation expands
What will be different as a result of a data
warehouse?
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Manage expectations
Create personal value
Means to Communicate
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Pre-Launch Data Summit
Bi-weekly updates
Web Site
Email Blasts
Newsletter (Print and e-newsletter)
Brochures
Meetings
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Communicate “Division” Value
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How will the data warehouse help schools to serve
students more effectively?
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How will the data warehouse help schools
improve?
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Identify strengths and weaknesses
Tie directly into the School Improvement Planning
process
How will the data warehouse save schools time?
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One source with reports pertinent to their school (20002006)
Communicate “School” Value
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How will the data warehouse help staff to serve
students more effectively?
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How will the data warehouse help staff to be better
leaders and teachers?
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Assist in program evaluation and intervention
Include data as evidence during discussions regarding
teaching and learning
How will the data warehouse save staff time?
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Ability to disaggregate data using common filters
Communicate “Personal”
Value
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How will the data warehouse help me to serve my
students more effectively?
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How will the data warehouse help me to be a
better leader and teacher?
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Multiple data points highlight strengths and weaknesses
Provide a common foundation to discuss student
performance
How will the data warehouse save me time?
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No more walking to the office to get the “cum” folder
Framing an approach to data
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What data best informs our improvement
planning?
What data best informs our instructional practice?
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How can this data best be analyzed and organized?
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How do we find the time to make data a valuable
tool for our planning and decision-making?
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Do I have all of the data I need to make an informed
decision?
Key Understandings About
Data-Driven Decision-Making
1. Data for Accountability and Data for Continuous
Improvement are NOT the same.
ACCOUNTABILITY
STATEWIDE
HIGH-STAKES
TESTING
RESPONSIBILITY
DISTRICT
BENCHMARK
TESTING &
CHAPTER
TESTS
STATIC
LONG-RANGE
IMPROVEMENT
PLANNING
CLASSROOM
OBSERVATIONS,
ASSESSMENTS &
STUDENT WORK
DYNAMIC
SHORT-TERM
PLANNING &
INTERVENTION
IMMEDIATE
INTERVENTION
Key Understandings About
Data-Driven Decision-Making
2. Data mean different things to different people,
because the kinds of decisions
they make are different.
Key Understandings About
Data-Driven Decision-Making
3. Data have no meaning in and of itself.
Key Understandings About
Data-Driven Decision-Making
4. It is not the data that is important;
it is the discussion about the data
that is important.
Key Understandings About
Data-Driven Decision-Making
5. Strong instructional leaders build a culture for
using data on a routine basis.
Collaboration
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Administration
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School Staff
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Central Office and School-Based
Staff Development
Information Technology Support (AIT, DIT, ITS and TRT)
Principals
Instructional Staff
Establish Data Teams
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Common Tools
Common Language
Common Goals
Coordination
DW Development Team
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Instruction
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Research Office
ITS
Staff Development
Curriculum and Instruction
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DIT
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IBM
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Pupil Services
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SIS Office
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Business and Finance
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AIT
Principals
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Elementary (3)
Middle/Intermediate (2)
High (5)
Star Base Team
Server and Network Support Team
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Database Development
Report Development
Document Development
Project Management
Hardware/Software Support
School-Based
Data Team Traits
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Questioner
Problem Posing
Precise Thinker
Anticipatory
Egalitarian
Inspirational
Influential
Networker
Computer Literate
Action Oriented
Personable
• Professional
• Inquisitive
• Respected By Admin and
Teachers
• Effective Communicator
• Analytical Thinker
• Visionary
• Patient with All Questions
• Positive
Data Team Responsibilities
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Educate staff on appropriate data use
Access DW and generate reports
Meet w/school level committees
Monitor SIP data reports
Train staff to access and generate reports
Build assessment and data literacy capacity within school
School level communication
Recognition and celebration
Liaison with support systems needs
Data Warehouse Tour
LCPS Warehouse Login
A data warehouse solution should
provide…
• Improved data integration, accessibility and service
for all users through coordinated planning, design,
development and deployment of technology solutions
• Improved collaboration among staff with end-users
regarding system-wide technology and data policies
through
• Coordinated needs assessment from the classroom
level to central administration
• Annual audit of data, hardware, software and
networks
“Keeping the Main Thing the Main Thing”
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Data becomes accessible throughout the system with mission
appropriate access
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Efficient management of data systems leads to better data
analysis by administrators and teachers
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Easy access to data helps teachers make informed decisions
about instruction based on student learning
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Data analysis can promote a better alignment between
curriculum and professional development
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Improved efficiency
learning
improved services
improved
Through a data warehouse
solution…
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LCPS will realize benefits for students,
teachers and administrators
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Improved access to information and data that can
inform decisions regarding instruction, curriculum
and assessment
Improved timeliness of data analysis at the local
level to better inform decisions
Improved distribution of data for decision making
at the classroom, building and district levels
Question and Answer
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Contact Information
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Stephan Knobloch, Research Supervisor
Loudoun County Public Schools
21000 Education Court
Ashburn, VA 20148
571-252-1484
sknobloc@loudoun.k12.va.us