SlideShare ist ein Scribd-Unternehmen logo
1 von 38
People, process and
technology: managing change
to improve results
DQAsia Pacific
Brian Bailey
Recordkeeping Innovation PL
• Structured ‘versus’
unstructured data
• ‘Databases or documents’
• MIS, BI, DW, & MDM
• DM, RM, EDRMS, ECM
• Metadata management
• Decision support
Current state
From geek to geek
© Recordkeeping Innovation 2010
• Technology-centric not user-
centric
• Information workers don’t
care if content comes from a
database or a DMS
• ‘They don’t get it’ - and why
should they?
• People often don’t prioritise
data quality or record keeping
• Until it all goes wrong
• Need a combined framework
for understanding and
motivating behaviour change
• Need to change
organisational thinking and
people’s behaviours
• Long run quality, governance
and management processes
need to be built into systems
• Make it easier to do it right
thing than to do it wrong
From Geek to Chic?
An example of a more holistic approach: EIM
• Combines BI and ECM
• ECM and BI … only cover part
of the information within an
organization [resulting] in a lack
of available information during
decision making processes,
market analysis or procedure
definition
• EIM [takes] the perspective of
enterprise information strategy,
based on the needs of
information workers
• Wikipedia, accessed 15 April 2010
People Process
Technology Content
Why Record Keeping?
• Working in the field for over 20 years
• Help organisations understand their
business environment (internal,
external, competitive and legislative)
• A risk-based methodology to surface
issues and ownership
• A holistic approach to managing record
keeping responsibilities in organisations
– including data and documents
• Some things to share and some to learn
© Recordkeeping Innovation 2010
Objectives
• Identify an effective model
for human-centred change
• Consider risk-based view of
quality, management and
governance and challenges
• Case studies: An EIM
project to engage a data
business with its data
• Identify some emerging
issues and resources
Case study redaction policy
• Not many organisations
really want their name
associated with data
quality issues
• Though sometimes they
have no choice
Kotter’s model for leading change
Sense of
Urgency
Powerful
Guiding
Coalition
Shared Vision Communicate
Empower
Others
Short Term
Wins
Consolidate Embed
• Based on the factors that
contribute to the failure of
projects
• A sense of urgency driving
a powerful guiding
coalitions united by a
shared vision?
• Or de-prioritised, best
efforts work carried out in
organisational silos?
Building the sense of urgency
• What are the impacts?
–Financial and economic
losses
–Reputational damage
–Inefficiency
–Delays
–Additional, avoidable cost
–Potential injury to staff,
clients
© Recordkeeping Innovation 2010
Compliance burden is increasing
• Environmental standards
– e.g. carbon footprints, building
performance standards
• International financial
regulatory standards
– Sarbanes-Oxley and Basel II
• Few guidelines on ‘what to do’
• Discovery rules and burden of
e-discovery
• Increasing litigation risk© Recordkeeping Innovation 2010
Social security scandal angers Japanese
• In 2007 the Japanese Social
Insurance Agency lost track
of 64m pension claims
worth up to $175 billion
• A 1997 IT system change
integrated multiple
pension numbers into a
single personal identifier:
but the related numbers
were not maintained so
payments couldn’t be
matched to clients
China Daily News, September 2 2007© Recordkeeping Innovation 2010
Social security scandal angers Japanese
• Not just a data management issue
• Many records were kept in paper formats
• Possible embezzlement of funds
• Rampant clerical errors over a long period
• Little awareness and no monitoring of
compliance
© Recordkeeping Innovation 2010
Lessons from the Japanese super scandal
• A recordkeeping system is more than just a
software application
• It is also the policies, procedures, people and business
rules that are used to control and support the application
• Data quality doesn’t exist in a vacuum
Key areas for managing risks
Governance and
culture
Records management
and data integrity
Human dimensions
Information
availability and use
Risk areas
Records management and data integrity
case study
East Anglia research on
climate change
– Raw data on climate change
is not retained
– Accusations of fraud or
selective data use
– Models cannot be verified
or re-produced
– Major reputational impact
on the whole climate
change movement
© Recordkeeping Innovation 2010
Information availability and use case study
Patients’ documents
found in Sydney street
– Private documents
dumped, including bank
details, medical records,
wills
– Breach of Aged Care Act
– Breach of privacy
Information availability and use case study
• Is there a data protection
program?
• Are there standards for
access and use for
contractors and third
parties, such as the police
or regulators?
• Do all staff know the
requirements for protecting
privacy?
• Have they had adequate
training to protect personal
information?
Governance and culture case study
Outsourced printing error
– 42,000 St George account
details were compromised
– Personal account
information was sent to
other customers.
– Salmat apologises to St
George and its customers.
– Privacy is breached
– Opportunity for fraud
© Recordkeeping Innovation 2010
Governance and culture case study
• Risk of breaches while data
is with out-source providers
• Risk that out-source
provider will not cover
liabilities incurred
• Need to provide education
and to define contracts
around data governance
• Ensure processes for
remedial action
© Recordkeeping Innovation 2010
Human dimensions case study
ICAC investigates university
student records
• Alteration of student
results
• No access rules in place
• Metadata not defined
• Records integrity
compromised
© Recordkeeping Innovation 2010
Human dimensions case study
• Are your IT systems
secure?
– Do they create and capture
authentic records which
assign individual
traceability?
– Are security breaches
reported and investigated?
© Recordkeeping Innovation 2010
Change management case study
• Member based and owned
organisation
• Complex operating
environment
• Large data volumes
• Case management
• Commercially sensitive data
• High public profile
• Proprietary RDBMS over 2
decades old
© Recordkeeping Innovation 2010
Engaging a data business with its data
• 20 years of operations - and data -
growth
• Business processes hard coded into
the system
• Data regularly over-written
• Fields had contents and meaning
changed
• Always quicker and cheaper to buy
more storage and increase the
processing power of the system than
dispose of redundant data
Ensuring records and data integrity
• Lost data:
– Massive exercise in re-validating information
– Risk of losing key clients due to delays
– Loss of ‘face’ as a competent administrator
• Contracts kept in un-locked clerical staff desks
• Major business processes were un-documented
• Business decisions based on ‘gut feel’, not data
• Forecasts were largely guess-work
• Staff kept all the access rights ever granted so
could access and over-write data
Information availability and use
• Incomplete data stores
– Members erroneously contacted about other member’s
matters
• Too much inaccessible data
– No way to prove decisions right
– Member queries could mean going through 20 years of data
– Forced to accommodate member assertions
– Open to accusations of unfairness or worse
• System - slow and prone to crashing
– Data arrived late causing missed deadlines
– Staff often either idle or working overtime
– Whole departments had to work late to finalise their business
processes
– Batch processes ran into the next work day
– Simple changes took a long time
Human Dimensions
• Lack of fraud controls. The staff
were honest but:
– Hard to show due diligence
– Too much manual checking of data
– Staff bored and increasingly de-
skilled
– Too many errors getting through
– Errors caused member complaints
– Resources diverted to customer
service and marketing!
• Long-timer staff did things data
entry their way and were allowed a
lot of latitude, creating disaffection
and confusion
© Recordkeeping Innovation 2010
Governance and culture
• Lack of trustworthy data so
hard to provide management
oversight and control
• Failure to assign responsibility
when something went wrong
• Trouble maintaining
accountability standards and
safeguards when upgrading
technology – no confidence
the system could be upgraded
- or even replaced
Ensuring records and data integrity
• CEO co-opted department heads and subject matter experts to engage in a firm-
wide transformation program:
– Communicated with staff every step of the way
– Wins communicated through briefings and team meetings
• Data stewards appointed, trained and asked to stand up for their constituency
• Client brought in to collaborate on data solutions and develop shared terminology
• Implemented a business classification scheme to create a shared view of the
company
• Got people to move data from hard and personal *share* drives into common
repositories
• Incorporated the new rules into the performance management system, through
position descriptions and the twice yearly review process
• New staff inducted in records and information management policies and
procedures
© Recordkeeping Innovation 2010
Information Availability and Use
• Made and enforced clear rules for records access and
use
• Developed clearance authorisation for exceptional
cases, e.g. auditor requests, police investigations of
third parties
• Monitored records security regularly
• Developed procedures for security breaches
• Tested the security system
• Developed and promoted a privacy protection plan
• Developed business continuity and disaster recovery
plans
© Recordkeeping Innovation 2010
Governance and culture
• Established action plans for
when things went wrong
• Developed problem
identification and escalation
processes for problems and
complaints
• Developed an accountability
matrix identifying who needed
to take what action and when
• Organised lessons learnt
processes
• Reviewed risk management
procedures for contractors and
outsourcing providers
© Recordkeeping Innovation 2010
Overcoming the Challenges
© Recordkeeping Innovation 2010
Sense of
Urgency
Powerful
Guiding
Coalition
Shared Vision Communicate
Empower
Others
Short Term
Wins
Consolidate Embed
Focus areas:
• Deliver better outcomes
for the organisation
• Protect stakeholder and
share-holder interests
• Identify, prevent, mitigate
or effectively constrain
threats to an acceptable
level
• Minimise potential losses
• Make informed decisions
about exploiting
opportunities for re-use of
information and assets
So, from geek to chic?
• Not quite but many wins – and a few losses
– Some people were very unsure about becoming empowered
– Some blossomed, others were happy to take on a more technical role
– Some left!
• Almost universally people were happy with the increasingly explicit
operating environment
• Various activities and tools were undertaken to consolidate embed
these changes :
– Better pre-validation of data on receipt
– Data checking and validation steps added at field and process level
– Daily ‘huddles’ of key staff to identify emerging issues,
– An online issues tracker to codify and communicate known problems
– Wikis of previously undocumented expertise
– Better on the job training
– Cross functional teams including IT people
• An unresolved challenge: digital preservation and continuity
Jeff Rothenberg, senior computer scientist at RAND Corp
Digital information lasts forever, or five
years - whichever comes first
Data Continuity Case Study
Australian State Government Agency
• Complex operating environment
• High public profile
• Sensitive data
• Numerous databases
• Case management system integrated with TRIM for
documents and email records
• Looking for a record keeping strategy for data
© Recordkeeping Innovation 2010
Data Continuity Case Study (cont)
Options Included
• Treat the application layer as a whole as a record
• Take slices of the application layer of the database as a record,
using one of two techniques:
– Identifying transactions within the application layer of the database as
the record
– Capturing what the user sees (at various points) is the record
Recommended Solution
• To use a combination of the above as the record
© Recordkeeping Innovation 2010
Resources
• Australasian Digital Recordkeeping Initiative (ADRI)
– Promotes a single Australasian approach to digital public
recordkeeping across all jurisdictions and provides a space for
communication and information sharing between the members
• NSW Standard on digital recordkeeping
– Sets out the minimum compliance requirements for NSW public
offices for defining their digital records, digital recordkeeping
system functionality and the creation and management of
recordkeeping metadata for digital records
• Archives New Zealand (e.g. Digital Recordkeeping System
Standard Exposure Draft)
– New Zealand have adopted ADRI and more and the exposure is
well worth a read in terms of forming the kind of framework
discussed today
© Recordkeeping Innovation 2010
Questions
Brian Bailey
Recordkeeping Innovation
Mobile 0402 115563
www.records.com.au
b.bailey@records.com.au
http://www.linkedin.com/in/brianbailey001

Weitere ähnliche Inhalte

Was ist angesagt?

EDRMS Pre implementation project plan
EDRMS Pre implementation project planEDRMS Pre implementation project plan
EDRMS Pre implementation project planDonna_Maree_Findlay
 
Mike2.0 Information Governance Overview
Mike2.0 Information Governance OverviewMike2.0 Information Governance Overview
Mike2.0 Information Governance Overviewsean.mcclowry
 
Guidebook To Long-Term Retention Part 1: Challenges And Effective Approaches
Guidebook To Long-Term Retention Part 1: Challenges And Effective ApproachesGuidebook To Long-Term Retention Part 1: Challenges And Effective Approaches
Guidebook To Long-Term Retention Part 1: Challenges And Effective ApproachesIron Mountain
 
Lessons in Information Governance
Lessons in Information GovernanceLessons in Information Governance
Lessons in Information GovernanceJohn Newton
 
Solving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareSolving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareDelphix
 
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...Nick Inglis
 
Valuing Information Management and IT Architecture
Valuing Information Management and IT ArchitectureValuing Information Management and IT Architecture
Valuing Information Management and IT ArchitectureGoutama Bachtiar
 
Information governance presentation
Information governance   presentationInformation governance   presentation
Information governance presentationIgor Swann
 
Planning Information Governance and Litigation Readiness
Planning Information Governance and Litigation ReadinessPlanning Information Governance and Litigation Readiness
Planning Information Governance and Litigation ReadinessRich Medina
 
Sask 3.0 Summit Pci dss presentation Bashir Fancy
Sask 3.0 Summit  Pci dss presentation   Bashir FancySask 3.0 Summit  Pci dss presentation   Bashir Fancy
Sask 3.0 Summit Pci dss presentation Bashir FancySaskSummit
 
Healthcare intel it 443835 443835
Healthcare intel it 443835 443835Healthcare intel it 443835 443835
Healthcare intel it 443835 443835Liberteks
 
Disaster Recovery and Business Continuity for Your Clinical and Safety Systems
Disaster Recovery and Business Continuity for Your Clinical and Safety SystemsDisaster Recovery and Business Continuity for Your Clinical and Safety Systems
Disaster Recovery and Business Continuity for Your Clinical and Safety SystemsPerficient, Inc.
 
What Are you Waiting For? Remediate your File Shares and Govern your Informat...
What Are you Waiting For? Remediate your File Shares and Govern your Informat...What Are you Waiting For? Remediate your File Shares and Govern your Informat...
What Are you Waiting For? Remediate your File Shares and Govern your Informat...Everteam
 
Data Quality as a Business Success Factor
Data Quality as a Business Success FactorData Quality as a Business Success Factor
Data Quality as a Business Success FactorBoris Otto
 
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF aqel aqel
 

Was ist angesagt? (20)

EDRMS Pre implementation project plan
EDRMS Pre implementation project planEDRMS Pre implementation project plan
EDRMS Pre implementation project plan
 
Mike2.0 Information Governance Overview
Mike2.0 Information Governance OverviewMike2.0 Information Governance Overview
Mike2.0 Information Governance Overview
 
Guidebook To Long-Term Retention Part 1: Challenges And Effective Approaches
Guidebook To Long-Term Retention Part 1: Challenges And Effective ApproachesGuidebook To Long-Term Retention Part 1: Challenges And Effective Approaches
Guidebook To Long-Term Retention Part 1: Challenges And Effective Approaches
 
Lessons in Information Governance
Lessons in Information GovernanceLessons in Information Governance
Lessons in Information Governance
 
Solving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for HealthcareSolving the Data Management Challenge for Healthcare
Solving the Data Management Challenge for Healthcare
 
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...
Learning From IG Experts In Healthcare & Beyond: How To Start An Information ...
 
Valuing Information Management and IT Architecture
Valuing Information Management and IT ArchitectureValuing Information Management and IT Architecture
Valuing Information Management and IT Architecture
 
Information governance presentation
Information governance   presentationInformation governance   presentation
Information governance presentation
 
Data Governance
Data GovernanceData Governance
Data Governance
 
Information Governance
Information GovernanceInformation Governance
Information Governance
 
Record Management
Record ManagementRecord Management
Record Management
 
Principles of Holistic Information Governance
Principles of Holistic Information GovernancePrinciples of Holistic Information Governance
Principles of Holistic Information Governance
 
Planning Information Governance and Litigation Readiness
Planning Information Governance and Litigation ReadinessPlanning Information Governance and Litigation Readiness
Planning Information Governance and Litigation Readiness
 
Sask 3.0 Summit Pci dss presentation Bashir Fancy
Sask 3.0 Summit  Pci dss presentation   Bashir FancySask 3.0 Summit  Pci dss presentation   Bashir Fancy
Sask 3.0 Summit Pci dss presentation Bashir Fancy
 
Healthcare intel it 443835 443835
Healthcare intel it 443835 443835Healthcare intel it 443835 443835
Healthcare intel it 443835 443835
 
Disaster Recovery and Business Continuity for Your Clinical and Safety Systems
Disaster Recovery and Business Continuity for Your Clinical and Safety SystemsDisaster Recovery and Business Continuity for Your Clinical and Safety Systems
Disaster Recovery and Business Continuity for Your Clinical and Safety Systems
 
What Are you Waiting For? Remediate your File Shares and Govern your Informat...
What Are you Waiting For? Remediate your File Shares and Govern your Informat...What Are you Waiting For? Remediate your File Shares and Govern your Informat...
What Are you Waiting For? Remediate your File Shares and Govern your Informat...
 
1+ a strategy for the post merger network
1+  a strategy for the post merger network1+  a strategy for the post merger network
1+ a strategy for the post merger network
 
Data Quality as a Business Success Factor
Data Quality as a Business Success FactorData Quality as a Business Success Factor
Data Quality as a Business Success Factor
 
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF
COBIT Approach to Maintain Healthy Cyber Security Status Using NIST - CSF
 

Andere mochten auch

Babymoov and Electrosmog: our recommendations and philosophy
Babymoov and Electrosmog: our recommendations and philosophyBabymoov and Electrosmog: our recommendations and philosophy
Babymoov and Electrosmog: our recommendations and philosophyRomu
 
EMC 3130/2130 Lecture Seven - Platforms
EMC 3130/2130 Lecture Seven - PlatformsEMC 3130/2130 Lecture Seven - Platforms
EMC 3130/2130 Lecture Seven - PlatformsEdward Bowen
 
EMC 3150 Camera Lecture - Body
EMC 3150 Camera Lecture - BodyEMC 3150 Camera Lecture - Body
EMC 3150 Camera Lecture - BodyEdward Bowen
 
Breast Thermography /Digital Infrared Analysis of the Breast
Breast Thermography /Digital Infrared Analysis of the BreastBreast Thermography /Digital Infrared Analysis of the Breast
Breast Thermography /Digital Infrared Analysis of the BreastEnrique Martín del Campo Mena
 
Lxp storage iSCSI Best Practice
Lxp storage iSCSI Best PracticeLxp storage iSCSI Best Practice
Lxp storage iSCSI Best Practicecmegroz
 
Data Visualization & Data Driven Online Sales
Data Visualization & Data Driven Online SalesData Visualization & Data Driven Online Sales
Data Visualization & Data Driven Online SalesGabriella Janni Albemark
 
Ground Suggestions
Ground SuggestionsGround Suggestions
Ground SuggestionsEMC-DE
 
2014 Globant's Sustainability Report (English)
2014 Globant's Sustainability Report (English)2014 Globant's Sustainability Report (English)
2014 Globant's Sustainability Report (English)Globant
 
Alliances: The control-trust dilemma
Alliances: The control-trust dilemmaAlliances: The control-trust dilemma
Alliances: The control-trust dilemmaArd-Pieter de Man
 
EMC 3150 - Camera Lecture - The Lens
EMC 3150 - Camera Lecture - The LensEMC 3150 - Camera Lecture - The Lens
EMC 3150 - Camera Lecture - The LensEdward Bowen
 
Pharmaceutical Solutions Brochure
Pharmaceutical Solutions BrochurePharmaceutical Solutions Brochure
Pharmaceutical Solutions Brochurecmurtagh
 
Norfolk FET Visit (Enlisted brief)
Norfolk FET Visit (Enlisted brief)Norfolk FET Visit (Enlisted brief)
Norfolk FET Visit (Enlisted brief)Glenn Mallo
 
EMC 2410 Lecture 7 Radio Techniques
EMC 2410 Lecture 7 Radio Techniques EMC 2410 Lecture 7 Radio Techniques
EMC 2410 Lecture 7 Radio Techniques Edward Bowen
 
EMC 2410 Lecture 9 Radio After Television
EMC 2410 Lecture 9 Radio After TelevisionEMC 2410 Lecture 9 Radio After Television
EMC 2410 Lecture 9 Radio After TelevisionEdward Bowen
 
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...Creating a Scalable and Extensible On-Demand Customer Communications Manageme...
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...Cognizant
 
Singin+++in+the+rain
Singin+++in+the+rainSingin+++in+the+rain
Singin+++in+the+rainDewi Purwati
 

Andere mochten auch (20)

Babymoov and Electrosmog: our recommendations and philosophy
Babymoov and Electrosmog: our recommendations and philosophyBabymoov and Electrosmog: our recommendations and philosophy
Babymoov and Electrosmog: our recommendations and philosophy
 
EMC 3130/2130 Lecture Seven - Platforms
EMC 3130/2130 Lecture Seven - PlatformsEMC 3130/2130 Lecture Seven - Platforms
EMC 3130/2130 Lecture Seven - Platforms
 
EMC 3150 Camera Lecture - Body
EMC 3150 Camera Lecture - BodyEMC 3150 Camera Lecture - Body
EMC 3150 Camera Lecture - Body
 
TCF15 Program Book
TCF15 Program BookTCF15 Program Book
TCF15 Program Book
 
Breast Thermography /Digital Infrared Analysis of the Breast
Breast Thermography /Digital Infrared Analysis of the BreastBreast Thermography /Digital Infrared Analysis of the Breast
Breast Thermography /Digital Infrared Analysis of the Breast
 
Lxp storage iSCSI Best Practice
Lxp storage iSCSI Best PracticeLxp storage iSCSI Best Practice
Lxp storage iSCSI Best Practice
 
Data Visualization & Data Driven Online Sales
Data Visualization & Data Driven Online SalesData Visualization & Data Driven Online Sales
Data Visualization & Data Driven Online Sales
 
Ground Suggestions
Ground SuggestionsGround Suggestions
Ground Suggestions
 
2014 Globant's Sustainability Report (English)
2014 Globant's Sustainability Report (English)2014 Globant's Sustainability Report (English)
2014 Globant's Sustainability Report (English)
 
Alliances: The control-trust dilemma
Alliances: The control-trust dilemmaAlliances: The control-trust dilemma
Alliances: The control-trust dilemma
 
EMC 3150 - Camera Lecture - The Lens
EMC 3150 - Camera Lecture - The LensEMC 3150 - Camera Lecture - The Lens
EMC 3150 - Camera Lecture - The Lens
 
Ronnie Oomen (EMC)
Ronnie Oomen (EMC)Ronnie Oomen (EMC)
Ronnie Oomen (EMC)
 
Pharmaceutical Solutions Brochure
Pharmaceutical Solutions BrochurePharmaceutical Solutions Brochure
Pharmaceutical Solutions Brochure
 
Norfolk FET Visit (Enlisted brief)
Norfolk FET Visit (Enlisted brief)Norfolk FET Visit (Enlisted brief)
Norfolk FET Visit (Enlisted brief)
 
EMC 2410 Lecture 7 Radio Techniques
EMC 2410 Lecture 7 Radio Techniques EMC 2410 Lecture 7 Radio Techniques
EMC 2410 Lecture 7 Radio Techniques
 
emcnow-q408[1]
emcnow-q408[1]emcnow-q408[1]
emcnow-q408[1]
 
EMC 2410 Lecture 9 Radio After Television
EMC 2410 Lecture 9 Radio After TelevisionEMC 2410 Lecture 9 Radio After Television
EMC 2410 Lecture 9 Radio After Television
 
EDI 2009 Controlling E-Discovery Costs through Records Management
EDI 2009 Controlling E-Discovery Costs through Records ManagementEDI 2009 Controlling E-Discovery Costs through Records Management
EDI 2009 Controlling E-Discovery Costs through Records Management
 
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...Creating a Scalable and Extensible On-Demand Customer Communications Manageme...
Creating a Scalable and Extensible On-Demand Customer Communications Manageme...
 
Singin+++in+the+rain
Singin+++in+the+rainSingin+++in+the+rain
Singin+++in+the+rain
 

Ähnlich wie Managing change through people, process and technology

Stop the madness - Never doubt the quality of BI again using Data Governance
Stop the madness - Never doubt the quality of BI again using Data GovernanceStop the madness - Never doubt the quality of BI again using Data Governance
Stop the madness - Never doubt the quality of BI again using Data GovernanceMary Levins, PMP
 
Cor concepts information governance-protection-of-personal-information-act-popi
Cor concepts information governance-protection-of-personal-information-act-popiCor concepts information governance-protection-of-personal-information-act-popi
Cor concepts information governance-protection-of-personal-information-act-popiRobust Marketing & Consulting (Pty) Ltd
 
20-MOD 8 Self and Work Management-20-07-2023.ppt
20-MOD 8 Self and Work Management-20-07-2023.ppt20-MOD 8 Self and Work Management-20-07-2023.ppt
20-MOD 8 Self and Work Management-20-07-2023.pptabhichowdary16
 
Data governance - An Insight
Data governance - An InsightData governance - An Insight
Data governance - An InsightVivek Mohan
 
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...Browne Jacobson LLP
 
Information Strategy: Updating the IT Strategy for Information, Insights and ...
Information Strategy: Updating the IT Strategy for Information, Insights and ...Information Strategy: Updating the IT Strategy for Information, Insights and ...
Information Strategy: Updating the IT Strategy for Information, Insights and ...Jamal_Shah
 
Big data
Big dataBig data
Big dataRiya
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?DLT Solutions
 
Group 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptxGroup 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptxsalutiontechnology
 
Getting Data Quality Right
Getting Data Quality RightGetting Data Quality Right
Getting Data Quality RightDATAVERSITY
 
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Health Catalyst
 
Securing big data (july 2012)
Securing big data (july 2012)Securing big data (july 2012)
Securing big data (july 2012)Marc Vael
 
Building Rules for Data Governance
Building Rules for Data GovernanceBuilding Rules for Data Governance
Building Rules for Data GovernancePrecisely
 
Fate of the Chief Data Officer
Fate of the Chief Data OfficerFate of the Chief Data Officer
Fate of the Chief Data OfficerTamarah Usher
 
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...Health Catalyst
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxmuflehaljarrah
 
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMA
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMAOAUG 05-2009-MDM-1683-A Fiteni CPA, CMA
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMAAlex Fiteni
 

Ähnlich wie Managing change through people, process and technology (20)

Stop the madness - Never doubt the quality of BI again using Data Governance
Stop the madness - Never doubt the quality of BI again using Data GovernanceStop the madness - Never doubt the quality of BI again using Data Governance
Stop the madness - Never doubt the quality of BI again using Data Governance
 
Cor concepts information governance-protection-of-personal-information-act-popi
Cor concepts information governance-protection-of-personal-information-act-popiCor concepts information governance-protection-of-personal-information-act-popi
Cor concepts information governance-protection-of-personal-information-act-popi
 
20-MOD 8 Self and Work Management-20-07-2023.ppt
20-MOD 8 Self and Work Management-20-07-2023.ppt20-MOD 8 Self and Work Management-20-07-2023.ppt
20-MOD 8 Self and Work Management-20-07-2023.ppt
 
Data governance - An Insight
Data governance - An InsightData governance - An Insight
Data governance - An Insight
 
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...
Education law conferences, March 2018, Keynote 2 - 10 steps in 10 weeks to GD...
 
Information Strategy: Updating the IT Strategy for Information, Insights and ...
Information Strategy: Updating the IT Strategy for Information, Insights and ...Information Strategy: Updating the IT Strategy for Information, Insights and ...
Information Strategy: Updating the IT Strategy for Information, Insights and ...
 
Big data
Big dataBig data
Big data
 
Is Your Agency Data Challenged?
Is Your Agency Data Challenged?Is Your Agency Data Challenged?
Is Your Agency Data Challenged?
 
Group 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptxGroup 2 Handling and Processing of big data.pptx
Group 2 Handling and Processing of big data.pptx
 
Getting Data Quality Right
Getting Data Quality RightGetting Data Quality Right
Getting Data Quality Right
 
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...
Part 2 - 20 Years in Healthcare Analytics & Data Warehousing: What did we lea...
 
Securing big data (july 2012)
Securing big data (july 2012)Securing big data (july 2012)
Securing big data (july 2012)
 
RowanDay2.pptx
RowanDay2.pptxRowanDay2.pptx
RowanDay2.pptx
 
Building Rules for Data Governance
Building Rules for Data GovernanceBuilding Rules for Data Governance
Building Rules for Data Governance
 
Lesson2.pptx
Lesson2.pptxLesson2.pptx
Lesson2.pptx
 
Fate of the Chief Data Officer
Fate of the Chief Data OfficerFate of the Chief Data Officer
Fate of the Chief Data Officer
 
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...
20 Years in Healthcare Analytics & Data Warehousing: What did we learn? What'...
 
David Reeve - UKAD 2016 forum
David Reeve - UKAD 2016 forumDavid Reeve - UKAD 2016 forum
David Reeve - UKAD 2016 forum
 
BIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptxBIG DATA CHAPTER 2 IN DSS.pptx
BIG DATA CHAPTER 2 IN DSS.pptx
 
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMA
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMAOAUG 05-2009-MDM-1683-A Fiteni CPA, CMA
OAUG 05-2009-MDM-1683-A Fiteni CPA, CMA
 

Managing change through people, process and technology

  • 1. People, process and technology: managing change to improve results DQAsia Pacific Brian Bailey Recordkeeping Innovation PL
  • 2. • Structured ‘versus’ unstructured data • ‘Databases or documents’ • MIS, BI, DW, & MDM • DM, RM, EDRMS, ECM • Metadata management • Decision support Current state
  • 3. From geek to geek © Recordkeeping Innovation 2010 • Technology-centric not user- centric • Information workers don’t care if content comes from a database or a DMS • ‘They don’t get it’ - and why should they? • People often don’t prioritise data quality or record keeping • Until it all goes wrong
  • 4. • Need a combined framework for understanding and motivating behaviour change • Need to change organisational thinking and people’s behaviours • Long run quality, governance and management processes need to be built into systems • Make it easier to do it right thing than to do it wrong From Geek to Chic?
  • 5. An example of a more holistic approach: EIM • Combines BI and ECM • ECM and BI … only cover part of the information within an organization [resulting] in a lack of available information during decision making processes, market analysis or procedure definition • EIM [takes] the perspective of enterprise information strategy, based on the needs of information workers • Wikipedia, accessed 15 April 2010 People Process Technology Content
  • 6. Why Record Keeping? • Working in the field for over 20 years • Help organisations understand their business environment (internal, external, competitive and legislative) • A risk-based methodology to surface issues and ownership • A holistic approach to managing record keeping responsibilities in organisations – including data and documents • Some things to share and some to learn
  • 7. © Recordkeeping Innovation 2010 Objectives • Identify an effective model for human-centred change • Consider risk-based view of quality, management and governance and challenges • Case studies: An EIM project to engage a data business with its data • Identify some emerging issues and resources
  • 8. Case study redaction policy • Not many organisations really want their name associated with data quality issues • Though sometimes they have no choice
  • 9. Kotter’s model for leading change Sense of Urgency Powerful Guiding Coalition Shared Vision Communicate Empower Others Short Term Wins Consolidate Embed • Based on the factors that contribute to the failure of projects • A sense of urgency driving a powerful guiding coalitions united by a shared vision? • Or de-prioritised, best efforts work carried out in organisational silos?
  • 10. Building the sense of urgency • What are the impacts? –Financial and economic losses –Reputational damage –Inefficiency –Delays –Additional, avoidable cost –Potential injury to staff, clients © Recordkeeping Innovation 2010
  • 11. Compliance burden is increasing • Environmental standards – e.g. carbon footprints, building performance standards • International financial regulatory standards – Sarbanes-Oxley and Basel II • Few guidelines on ‘what to do’ • Discovery rules and burden of e-discovery • Increasing litigation risk© Recordkeeping Innovation 2010
  • 12. Social security scandal angers Japanese • In 2007 the Japanese Social Insurance Agency lost track of 64m pension claims worth up to $175 billion • A 1997 IT system change integrated multiple pension numbers into a single personal identifier: but the related numbers were not maintained so payments couldn’t be matched to clients China Daily News, September 2 2007© Recordkeeping Innovation 2010
  • 13. Social security scandal angers Japanese • Not just a data management issue • Many records were kept in paper formats • Possible embezzlement of funds • Rampant clerical errors over a long period • Little awareness and no monitoring of compliance © Recordkeeping Innovation 2010
  • 14. Lessons from the Japanese super scandal • A recordkeeping system is more than just a software application • It is also the policies, procedures, people and business rules that are used to control and support the application • Data quality doesn’t exist in a vacuum
  • 15. Key areas for managing risks Governance and culture Records management and data integrity Human dimensions Information availability and use Risk areas
  • 16. Records management and data integrity case study East Anglia research on climate change – Raw data on climate change is not retained – Accusations of fraud or selective data use – Models cannot be verified or re-produced – Major reputational impact on the whole climate change movement © Recordkeeping Innovation 2010
  • 17. Information availability and use case study Patients’ documents found in Sydney street – Private documents dumped, including bank details, medical records, wills – Breach of Aged Care Act – Breach of privacy
  • 18. Information availability and use case study • Is there a data protection program? • Are there standards for access and use for contractors and third parties, such as the police or regulators? • Do all staff know the requirements for protecting privacy? • Have they had adequate training to protect personal information?
  • 19. Governance and culture case study Outsourced printing error – 42,000 St George account details were compromised – Personal account information was sent to other customers. – Salmat apologises to St George and its customers. – Privacy is breached – Opportunity for fraud © Recordkeeping Innovation 2010
  • 20. Governance and culture case study • Risk of breaches while data is with out-source providers • Risk that out-source provider will not cover liabilities incurred • Need to provide education and to define contracts around data governance • Ensure processes for remedial action © Recordkeeping Innovation 2010
  • 21. Human dimensions case study ICAC investigates university student records • Alteration of student results • No access rules in place • Metadata not defined • Records integrity compromised © Recordkeeping Innovation 2010
  • 22. Human dimensions case study • Are your IT systems secure? – Do they create and capture authentic records which assign individual traceability? – Are security breaches reported and investigated? © Recordkeeping Innovation 2010
  • 23. Change management case study • Member based and owned organisation • Complex operating environment • Large data volumes • Case management • Commercially sensitive data • High public profile • Proprietary RDBMS over 2 decades old © Recordkeeping Innovation 2010
  • 24. Engaging a data business with its data • 20 years of operations - and data - growth • Business processes hard coded into the system • Data regularly over-written • Fields had contents and meaning changed • Always quicker and cheaper to buy more storage and increase the processing power of the system than dispose of redundant data
  • 25. Ensuring records and data integrity • Lost data: – Massive exercise in re-validating information – Risk of losing key clients due to delays – Loss of ‘face’ as a competent administrator • Contracts kept in un-locked clerical staff desks • Major business processes were un-documented • Business decisions based on ‘gut feel’, not data • Forecasts were largely guess-work • Staff kept all the access rights ever granted so could access and over-write data
  • 26. Information availability and use • Incomplete data stores – Members erroneously contacted about other member’s matters • Too much inaccessible data – No way to prove decisions right – Member queries could mean going through 20 years of data – Forced to accommodate member assertions – Open to accusations of unfairness or worse • System - slow and prone to crashing – Data arrived late causing missed deadlines – Staff often either idle or working overtime – Whole departments had to work late to finalise their business processes – Batch processes ran into the next work day – Simple changes took a long time
  • 27. Human Dimensions • Lack of fraud controls. The staff were honest but: – Hard to show due diligence – Too much manual checking of data – Staff bored and increasingly de- skilled – Too many errors getting through – Errors caused member complaints – Resources diverted to customer service and marketing! • Long-timer staff did things data entry their way and were allowed a lot of latitude, creating disaffection and confusion © Recordkeeping Innovation 2010
  • 28. Governance and culture • Lack of trustworthy data so hard to provide management oversight and control • Failure to assign responsibility when something went wrong • Trouble maintaining accountability standards and safeguards when upgrading technology – no confidence the system could be upgraded - or even replaced
  • 29. Ensuring records and data integrity • CEO co-opted department heads and subject matter experts to engage in a firm- wide transformation program: – Communicated with staff every step of the way – Wins communicated through briefings and team meetings • Data stewards appointed, trained and asked to stand up for their constituency • Client brought in to collaborate on data solutions and develop shared terminology • Implemented a business classification scheme to create a shared view of the company • Got people to move data from hard and personal *share* drives into common repositories • Incorporated the new rules into the performance management system, through position descriptions and the twice yearly review process • New staff inducted in records and information management policies and procedures © Recordkeeping Innovation 2010
  • 30. Information Availability and Use • Made and enforced clear rules for records access and use • Developed clearance authorisation for exceptional cases, e.g. auditor requests, police investigations of third parties • Monitored records security regularly • Developed procedures for security breaches • Tested the security system • Developed and promoted a privacy protection plan • Developed business continuity and disaster recovery plans © Recordkeeping Innovation 2010
  • 31. Governance and culture • Established action plans for when things went wrong • Developed problem identification and escalation processes for problems and complaints • Developed an accountability matrix identifying who needed to take what action and when • Organised lessons learnt processes • Reviewed risk management procedures for contractors and outsourcing providers © Recordkeeping Innovation 2010
  • 32. Overcoming the Challenges © Recordkeeping Innovation 2010 Sense of Urgency Powerful Guiding Coalition Shared Vision Communicate Empower Others Short Term Wins Consolidate Embed Focus areas: • Deliver better outcomes for the organisation • Protect stakeholder and share-holder interests • Identify, prevent, mitigate or effectively constrain threats to an acceptable level • Minimise potential losses • Make informed decisions about exploiting opportunities for re-use of information and assets
  • 33. So, from geek to chic? • Not quite but many wins – and a few losses – Some people were very unsure about becoming empowered – Some blossomed, others were happy to take on a more technical role – Some left! • Almost universally people were happy with the increasingly explicit operating environment • Various activities and tools were undertaken to consolidate embed these changes : – Better pre-validation of data on receipt – Data checking and validation steps added at field and process level – Daily ‘huddles’ of key staff to identify emerging issues, – An online issues tracker to codify and communicate known problems – Wikis of previously undocumented expertise – Better on the job training – Cross functional teams including IT people • An unresolved challenge: digital preservation and continuity
  • 34. Jeff Rothenberg, senior computer scientist at RAND Corp Digital information lasts forever, or five years - whichever comes first
  • 35. Data Continuity Case Study Australian State Government Agency • Complex operating environment • High public profile • Sensitive data • Numerous databases • Case management system integrated with TRIM for documents and email records • Looking for a record keeping strategy for data © Recordkeeping Innovation 2010
  • 36. Data Continuity Case Study (cont) Options Included • Treat the application layer as a whole as a record • Take slices of the application layer of the database as a record, using one of two techniques: – Identifying transactions within the application layer of the database as the record – Capturing what the user sees (at various points) is the record Recommended Solution • To use a combination of the above as the record © Recordkeeping Innovation 2010
  • 37. Resources • Australasian Digital Recordkeeping Initiative (ADRI) – Promotes a single Australasian approach to digital public recordkeeping across all jurisdictions and provides a space for communication and information sharing between the members • NSW Standard on digital recordkeeping – Sets out the minimum compliance requirements for NSW public offices for defining their digital records, digital recordkeeping system functionality and the creation and management of recordkeeping metadata for digital records • Archives New Zealand (e.g. Digital Recordkeeping System Standard Exposure Draft) – New Zealand have adopted ADRI and more and the exposure is well worth a read in terms of forming the kind of framework discussed today © Recordkeeping Innovation 2010
  • 38. Questions Brian Bailey Recordkeeping Innovation Mobile 0402 115563 www.records.com.au b.bailey@records.com.au http://www.linkedin.com/in/brianbailey001