"Information is not knowledge, knowledge is not understanding, understanding is not judgment, judgme

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"Information is not knowledge, knowledge is not
understanding, understanding is not judgment,
judgment is not wisdom. Howard Gardner
Data Information Focus Group January 26,
2006 1000-1130
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Agenda
Agenda
Welcome Introductions LINC III Data
Center Assess Data Needs The Whole
Student Small Group Activity Report Back
Data Information Focus Group January 26,
2006 1000-1130
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LINC III Focus Areas

• Teaching with Technology

• Learning with Technology

• Family Community Connections

• Data Information

• Infrastructure

• Service Support

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BPS Technology Planning 1996-2009
LINC III
LINC II
LINC I
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Data Center
Our goal is to create a resource that will
transform data into information through the
creation of specific high value structured
reports, reporting processes, and dynamic
analysis tools.
Wisdom

Judgment
Understanding
Knowledge
Information
Data
Bits Bytes
Data Information Focus Group January 26,
2006 1000-1130
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Being Buzz-word compliant
OIIT Word of the Day

D3M Data Driven Decision Making RDBMS (Relational
Database Management Systems) Data Warehouse Data
Repository Data Mart Decision Support Tools

Data Information Focus Group January 26,
2006 1000-1130
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Being Buzz-word compliant
OIIT Word of the Day


Data Center
Data Information Focus Group January 26,
2006 1000-1130
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Data Center
Process

5. Establish data confidentiality data use
policies

1. Develop a strategic plan
3. Conduct Data Quality audits
Data Center
2. Assess data needs
4. Create data dictionaries
Data Information Focus Group January 26,
2006 1000-1130
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Data Center
Assess Data Needs Mopping and Scrubbing

Mopping Mopping (or mapping) data is the
process of locating or identifying where and how
data are stored throughout the respective
organization. This procedure provides the us with
the information required to develop a data plan
surrounding organizational needs, wants, costs,
and desired outcomes. Scrubbing Data
scrubbing pertains to removing erroneous pieces
of information within a data set.

Data Information Focus Group January 26,
2006 1000-1130
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Data Center
Assess Data Needs Data Quality Check
WHAT What data are we looking for? WHO Who
has the data? Who has the best data? Who has (or
should have) access to what data? HOW How do
we best communicate different types of data? How
do we collect data? How should we disseminate
data?
Data Information Focus Group January 26,
2006 1000-1130
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Data Center
Assess Data Needs Data Quality Check
WHAT What data are we looking for? WHO Who
has the data? Who has the best data? Who has (or
should have) access to what data? HOW How do
we best communicate different types of data? How
do we collect data? How should we disseminate
data?
Student demographic data
LIZA
Student (or parent/guardian)
Data Information Focus Group January 26,
2006 1000-1130
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Data Center
The Whole Student
Is the student in an after school program?

How did the student score on the MCAS?
Where does the student live?
How is the student doing in math?
STUDENT
Who is my students teacher?
How many days has the student been present?
Did attendance have anything to do with student
performance?
Data Information Focus Group January 26,
2006 1000-1130
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Data Center
How Types of Retrieval

Static reports Report templates with dynamic
variables Fully dynamic multi-dimensional
queries Direct table views of raw data

Data Information Focus Group January 26,
2006 1000-1130
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Data Center
In Conclusion

Get the right data. Get the data right. Get the
data right away. Get the data the right way.
Get the right data managed the right way.

Data Information Focus Group January 26,
2006 1000-1130
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THANK YOU!
Data Information Focus Group January 26,
2006 1000-1130