educause 2009 data administration constituent group november 5th, 2009

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Data Administration Constituent Group November 5th, 2009 11/5/2009 1 Educause DASIG Constituent Group

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Educause 2009 Data Administration Constituent Group November 5th, 2009. 23 states report higher unemployment in September Worst recession in three decades Endowments lose billions Grant funding cut. Layoffs Harvard Stanford Arizona State Yale - PowerPoint PPT Presentation

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Page 1: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Educause 2009

Data Administration Constituent Group

November 5th, 200911/5/2009 1Educause DASIG Constituent Group

Page 2: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

23 states report higher unemployment in September

Worst recession in three decades

Endowments lose billions

Grant funding cut

11/5/2009 Educause DASIG Constituent Group 2

Page 3: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Layoffs

Harvard Stanford Arizona State Yale Washington University of Chicago

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Page 4: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Budgets Cut

Frozen Salaries

Research Reduced

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Page 5: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Aren’t we here to talk about

Data Management ???

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Page 6: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

All the President’s Men (1976)

Robert Redford

Hal Holbrook

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Page 7: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Use Data Management to

Follow the Money !!!!!

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Page 8: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Management can contribute to the bottom line

by …..

• Cost Savings

• Cost Avoidance

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Page 9: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Questions

• How many of you are engaged in a full time data management role ?

• How many of you full time data managers have other responsibilities besides data management ?

• How many of you are in roles that require data management assistance ?

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Page 10: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Management Data Management comprises all

the disciplines related to managing data as a valuable resource.

Wikipedia

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Page 11: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Management Data Management is the development

and execution of architectures, policies, practices, and procedures that properly manage the full data lifecycle needs of an enterprise.

DAMA

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Page 12: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

So what are some of these practices, procedures, and

policies ?

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Page 13: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Metadata Management

• Data About Data

• Knowing where your data is …• … And everything about it

• Promotes consistency, quality, standardization

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Page 14: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Classification

• Classify data by sensitivity

• HIPAA , FERPA , SSN’s, Personal Privacy, etc.

• Develop policies for various levels of classification

• Develop guidelines for usage and security

• Develop training in use of the data

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Page 15: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Classification

• Valuable to prevent compromises

• Guides usage of data

• Directs reporting and BI

• Encryption, archiving, removable storage

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Page 16: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Integration

• Data from system of record needed somewhere else

• Do you want that data moved somewhere else ?

• Consistency /integrity once it leaves the source system

• Reporting across systems

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Page 17: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Integration

• Traditional Feed Approach– Extract, ship it somewhere, load it up

• SOA/Web Services

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Page 18: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Traditional Feed Approach

• Proven• Can be accomplished in many technologies

• Can result in many, many feeds• Each one is hand crafted• Timing issues

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Page 19: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

SOA/Web Services

• Limited number • Real time or “batch”• Don’t have to hand craft every time

• Granularity of data• Security • Technology 11/5/2009 Educause DASIG Constituent Group 19

Page 20: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Governance

The discipline embodies a convergence of data quality, data management, business process management, and risk management surrounding the handling of data in an organization. Through data governance, organizations are looking to exercise positive control over the processes and methods used by their data stewards to handle data. Wikipedia

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Page 21: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Governance

• Who has Data Governance bodies in place ?

• What types of activities do those groups undertake ?

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Page 22: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Master Data Management

• Data items used by multiple applications

• Codes • Department numbers• Building identifiers• Class identifiers

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Page 23: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Why Should I Manage Master Data ?

• Provides data consistency

• IPEDS reporting• I-9• Dept of Homeland Security• Business Intelligence

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Page 24: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Archiving

• Email

• Legal records

• Institutional records

• Research data

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Page 25: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Archiving

• Where is it, and what is it ?

• How to search archives ?

• How to access archives ?

• Volume

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Page 26: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Ediscovery

• Discovery and securing of electronic information

• Required by some form of litigation or criminal proceedings

• Court ordered• Email, IM chats, documents, databases, logs,

web sites, other forms of electronic data• May also require associated metadata

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Page 27: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Ediscovery

• Zubulake v. UBS Warburg LLC

• Court found that defendant deleted emails and/or failed to produce files

• Adverse inference jury instructions given• Plaintiff awarded $29.2 Million

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Page 28: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Ediscovery

• Coleman Holdings Inc. v. Morgan Stanley

• Defendant failed to disclose and process numerous backup tapes until late in the proceedings

• Adverse inference jury instructions given, reversing the burden of proof

• Jury verdict for plaintiff in the amount of $1.5 Billion• Court awarded $15 Million in fines for failing to comply

with discovery obligations

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Page 29: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Ediscovery

• Talk to your legal department• Make info handling routines routine and

consistent• Keep a trail – DOCUMENT IT !!!!!• Avoid spoilation– The deliberate or negligent destruction,

withholding, or hiding of evidence when an investigation or litigation is under way

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Page 30: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Ediscovery

• Know what you have

• Backups• Archives• Files• Databases• Optical media

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Page 31: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Data Management

Following the Money to

Cost Savings &

Cost Avoidance 11/5/2009 Educause DASIG Constituent Group 31

Page 32: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Almost the Final Slide

• Plug DASIG

• Listhost

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Page 33: Educause 2009 Data Administration  Constituent Group  November 5th, 2009

Mike FaryEnterprise Data ArchitectUniversity of [email protected]

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