Data Administration (166363268)

7/29/2019 Data Administration (166363268)

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Educause 2009

Data Administration

Constituent Group

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



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



Layoffs

Harvard

Stanford

Arizona State

Yale

WashingtonUniversity of Chicago

11/5/2009 Educause DASIG Constituent Group 3



Budgets Cut

Frozen Salaries

Research Reduced




Aren’t we here to talk about

Data Management ???




All the President’s Men

(1976)

Robert Redford

Hal Holbrook




Use Data Management

to

Follow the Money !!!!!




Data Management can

contribute to the bottom lineby …..

• Cost Savings

• Cost Avoidance




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 ?




Data Management

Data Management comprises all

the disciplines related to

managing data as a valuableresource.

Wikipedia




Data Management

Data Management is thedevelopment and execution of

architectures, policies, practices,and procedures that properlymanage the full data lifecycle needs

of an enterprise.

DAMA




So what are some of these

practices, procedures, andpolicies ?




Metadata Management

• Data About Data

•

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

• Promotes consistency, quality, standardization




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




Data Classification

• Valuable to prevent compromises

•

Guides usage of data

• Directs reporting and BI

• Encryption, archiving, removable storage




Data Integration

• Data from system of record needed somewhereelse

• Do you want that data moved somewhere else ?

• Consistency /integrity once it leaves the source

system

• Reporting across systems




Data Integration

•

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

• SOA/Web Services




Traditional Feed Approach

• Proven

• Can be accomplished in many technologies

• Can result in many, many feeds

• Each one is hand crafted• Timing issues




SOA/Web Services

• Limited number

• Real time or “batch”

• Don’t have to hand craft every time

• Granularity of data

• Security

• Technology




Data Governance

The discipline embodies a convergence of dataquality, data management, business processmanagement, and risk management

surrounding the handling of data in anorganization. Through data governance,organizations are looking to exercise positivecontrol over the processes and methods used

by their data stewards to handle data.Wikipedia




Data Governance

• Who has Data Governance bodies in place ?

• What types of activities do those groups

undertake ?




Master Data Management

• Data items used by multiple applications

•

Codes• Department numbers

• Building identifiers

• Class identifiers




Why Should I Manage Master Data ?

• Provides data consistency

•

IPEDS reporting• I-9

• Dept of Homeland Security

• Business Intelligence




Data Archiving

• Email

•

Legal records

• Institutional records

• Research data




Data Archiving

• Where is it, and what is it ?

•

How to search archives ?

• How to access archives ?

• Volume




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




Ediscovery

• Zubulake v. UBS Warburg LLC

•

Court found that defendant deleted emailsand/or failed to produce files

• Adverse inference jury instructions given

•

Plaintiff awarded $29.2 Million




Ediscovery

• Coleman Holdings Inc. v. Morgan Stanley

•

Defendant failed to disclose and process numerousbackup tapes until late in the proceedings

• Adverse inference jury instructions given, reversing theburden of proof

•Jury verdict for plaintiff in the amount of $1.5 Billion

• Court awarded $15 Million in fines for failing to complywith discovery obligations




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




Ediscovery

• Know what you have

•

Backups• Archives

• Files

•Databases

• Optical media




Data Management

Following the Money

to

Cost Savings

&Cost Avoidance




Almost the Final Slide

•

Plug DASIG

• Listhost




Mike Fary

Enterprise Data Architect

University of Chicago

[email protected]


Data Administration (166363268)

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