Whether you are deploying a new capability with SAS® or modernizing the tool set that people already use in your organization, change management is a valuable practice. Sharing the news of a change with employees can be a daunting task and is often put off until the last possible second. Organizations frequently underestimate the impact of the change, and the results of that miscalculation can be disastrous. Too often, employees find out about a change just before mandatory training and are expected to embrace it. But change management is far more than training. It is early and frequent communication, an inclusive discussion, encouraging and enabling the development of an individual, and facilitating learning before, during, and long after the change.
This paper not only showcases the importance of change management but also identifies key objectives for a purposeful strategy. We outline our experiences with both successful and not so successful organizational changes. We present best practices for implementing change management strategies and highlighting common gaps. For example, developing and engaging “Change Champions” from the beginning alleviates many headaches and avoids disruptions. Finally, we discuss how the overall company culture can either support or hinder the positive experience change management should be and how to engender support for formal change management in your organization.
Growing Health Analytics Without Hiring new StaffThotWave
Here is today’s roadmap for our discussion
First I’m going to give you my view on healthcare’s problem with data-and that is that it isn’t being used or leveraged. I believe that this is a data literacy problem at its core– a lack of understanding, fear of, or unwillingness to invest in data and analytic strategy.
Second I’m going to talk about a potential solution – creating data champions, something I am very passionate about here at TW
And finally we will finish up with a discussion of what it looks like to enact that solution.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
Growing Health Analytics Without Hiring new StaffThotWave
Here is today’s roadmap for our discussion
First I’m going to give you my view on healthcare’s problem with data-and that is that it isn’t being used or leveraged. I believe that this is a data literacy problem at its core– a lack of understanding, fear of, or unwillingness to invest in data and analytic strategy.
Second I’m going to talk about a potential solution – creating data champions, something I am very passionate about here at TW
And finally we will finish up with a discussion of what it looks like to enact that solution.
Analytics Staffing Models of Health Systems That Compete Well Using DataThotWave
Analytics Staffing Models of Health Systems That Compete Well Using Data
Analytic leaders are facing unprecedented pressure as expectations from the digitization of health drives questions from every corner of the enterprise. Along with the operational and workflow changes that come with digital health, we are seeing greater demand for data to support care transformation, risk contracting and organizational performance.
The time is right to consider how analytics can support organizational strategies and how we can ensure alignment across the organization. As part of the strategic alignment exercise we often see organizations consider how to best deliver advanced analytic capabilities and then ask themselves the question “how should we organize our analytic teams?” Often, an effective way to increase that efficiency, improve morale and achieve economy of scale is to consider changes to how analytics teams are organized.
The most appropriate organizational structure will vary based on the health system size, culture, and analytics (and data) maturity. Should the analytics capabilities be centralized, decentralized, or should we consider an alternative, hybrid staffing model? Should analytics sit under IT or medical leadership?
In our Data4Decisions talk, we will review the common models employed by leaders in healthcare, and describe how they align with business strategy. Further, we will outline common challenges as well as share success secrets via case studies from across the US healthcare landscape. The goal of this presentation is to provide the audience with a strong foundation for understanding the healthcare analytics staffing models used across the industry.
Measuring Success introduces nonprofit professionals to proven techniques on how to move from anecdotal to data-driven decision making and steer your organization to success. Gain insights on how to focus your limited organizational time and energies on the issues that are supported by data instead of anecdotes. Learn techniques for using data to track and measure progress over time, report impact to stakeholders, and manage toward success.
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
This workshop focuses on implementing a successful analytics program in your healthcare organization. You will learn how to assess your organization’s readiness for implementing an analytics program. From the technology capabilities and needs to making sure you have the right skills to make it work, we will build a roadmap that will guide you to analytics success. Armed with your roadmap, you will have a realistic view of the gaps in your capabilities and have accurate implementation timing. This information can be utilized to sell the program to the executives and staff.
This workshop will also cover tips on how to identify and overcome the stumbling blocks you will likely face during implementation and the often overlooked key component critical to your success or failure. Lastly, we will cover how your organization can use analytics as a competitive advantage to increase profitability.
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
The Philosophy, Psychology, and Technology of Data in HealthcareDale Sanders
Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology.
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
Business analytics in healthcare & life scienceSanjay Choubey
Business analytics for Healthcare, Life Science businesses. Trends, Issues, Challenges, process & steps, Business drivers, Market & compliance, Big data and approach to overcome
Case Study “Analytics Strategies to Improve Quality & Outcomes”
Trevor Strome, MSc, PMP
Analytics Lead
WRHA Emergency Program
Assistant Professor, Department of Emergency Medicine
University of Manitoba
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
HR Data Management: The Hard Way vs The Easy WaySage HRMS
The Easy Way to Manage HR. A Human Resources Management System (HRMS) can automate the way you maintain and access both current and historical information about Recruiting, Onboarding, Policy Communication, Compensation, H&W Benefits, Payroll, Training, Performance, Evaluation, Promotion, Retirement, and Leave.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
Data Governance PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Data Governance Powerpoint Presentation Slides. This PPT deck displays twenty five slides with in depth research. Our topic oriented Data Governance Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Data Governance Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Enabling smaller independent publishers to participate in Open Access agreeme...Alicia Wise
Webinar to introduce new tools available to support the automation of Open Access agreements between libraries/consortia and smaller independent publishers.
The big-data explosion is driving a shift away from gut-based decision making. Marketing, in particular, is feeling the pressure to embrace new data-driven customer intelligence capabilities.
Marketers working 70-80 hours a week is not a great thing to hear.
But the requirement for them to have such a large amount of work time causes problems in the data selection and filtering.
Hence many marketers flunk the big data test
Slides from tutorial at EDW 2017 in Atlanta, GA on Implementing Agile Data Governance. Discusses how to write and add governance stories into existing Agile projects.
How To Improve Profitability & Outperform Your Competition: the Guide to Data...A.J. Riedel
Find out how adopting data-driven decision-making can reduce your risk of making costly marketing and product mistakes and improve your product sell-through in this free E-Book.
This workshop focuses on implementing a successful analytics program in your healthcare organization. You will learn how to assess your organization’s readiness for implementing an analytics program. From the technology capabilities and needs to making sure you have the right skills to make it work, we will build a roadmap that will guide you to analytics success. Armed with your roadmap, you will have a realistic view of the gaps in your capabilities and have accurate implementation timing. This information can be utilized to sell the program to the executives and staff.
This workshop will also cover tips on how to identify and overcome the stumbling blocks you will likely face during implementation and the often overlooked key component critical to your success or failure. Lastly, we will cover how your organization can use analytics as a competitive advantage to increase profitability.
Bundled Payment Changes: Learn What’s New and How to SucceedHealth Catalyst
In January, CMS announced the Bundled Payment for Care Improvement Advanced “BPCI Advanced” program, initiating renewed interest in a total cost of care payment model for specific episodes of care. Regardless of your organization’s current decision to participate, it’s important to understand how bundled payment programs have the ability to significantly decrease your internal costs, broaden your revenue opportunities, and improve patient outcomes across specific populations. The Center for Medicare and Medicaid Innovation’s newest iteration of bundled payments provides another tightly-defined program that allows organizations to scale Population Health Management. Best practice suggests that tactical interventions to assess clinical variation, implement strategic care redesign programs, and to adjust care management-facilitated patient stratification models are important to be successful with bundled payments – so knowing how to implement them is crucial. One organization’s savings is another’s income and without making overhead allocation changes, bundled payments may reduce revenue that has been critically important to maintain hospital profitability. Join this webinar to learn:
* What is new with bundled payments.
* The ramifications bundles can have across organizations.
* Leveraging data and strategic analysis to identify opportunities for bundled payment success.
* Operationalizing successful care program tactics to be successful in bundled payment contracts.
The Philosophy, Psychology, and Technology of Data in HealthcareDale Sanders
Over-application of data and analytics in healthcare is alienating clinicians and, for the most part, not bending the cost-quality curves. This lecture spends 60% of the time on the softer issues, 40% on the technology.
IBM Healthcare Business Analytics solutions including Cognos, TM1 and SPSS. How healthcare challenges are met and costs are optimized through the use of Data Visualizations, Performance Management, and Predictive Analytics.
Business analytics in healthcare & life scienceSanjay Choubey
Business analytics for Healthcare, Life Science businesses. Trends, Issues, Challenges, process & steps, Business drivers, Market & compliance, Big data and approach to overcome
Case Study “Analytics Strategies to Improve Quality & Outcomes”
Trevor Strome, MSc, PMP
Analytics Lead
WRHA Emergency Program
Assistant Professor, Department of Emergency Medicine
University of Manitoba
iHT2 case studies and presentations illustrate challenges, successes and various factors in the outcomes of numerous types of health IT implementations. They are interactive and dynamic sessions providing opportunity for dialogue, debate and exchanging ideas and best practices. This session will be presented by a thought leader in the provider, payer or government space.
HR Data Management: The Hard Way vs The Easy WaySage HRMS
The Easy Way to Manage HR. A Human Resources Management System (HRMS) can automate the way you maintain and access both current and historical information about Recruiting, Onboarding, Policy Communication, Compensation, H&W Benefits, Payroll, Training, Performance, Evaluation, Promotion, Retirement, and Leave.
COVID-19 has had a wide-ranging impact on the economy. Chisel Analytics surveyed over 100 leaders in analytics for their perspectives and the adjustments they're making in response.
Data Governance PowerPoint Presentation Slides SlideTeam
Presenting this set of slides with name - Data Governance Powerpoint Presentation Slides. This PPT deck displays twenty five slides with in depth research. Our topic oriented Data Governance Powerpoint Presentation Slides deck is a helpful tool to plan, prepare, document and analyse the topic with a clear approach. We provide a ready to use deck with all sorts of relevant topics subtopics templates, charts and graphs, overviews, analysis templates. Outline all the important aspects without any hassle. It showcases of all kind of editable templates infographs for an inclusive and comprehensive Data Governance Powerpoint Presentation Slides. Professionals, managers, individual and team involved in any company organization from any field can use them as per requirement.
Enabling smaller independent publishers to participate in Open Access agreeme...Alicia Wise
Webinar to introduce new tools available to support the automation of Open Access agreements between libraries/consortia and smaller independent publishers.
The big-data explosion is driving a shift away from gut-based decision making. Marketing, in particular, is feeling the pressure to embrace new data-driven customer intelligence capabilities.
Marketers working 70-80 hours a week is not a great thing to hear.
But the requirement for them to have such a large amount of work time causes problems in the data selection and filtering.
Hence many marketers flunk the big data test
Slides from tutorial at EDW 2017 in Atlanta, GA on Implementing Agile Data Governance. Discusses how to write and add governance stories into existing Agile projects.
In this webinar, Build Consulting expert Peter Mirus explains how to build a technology roadmap that will guide your organization to a successful future.
Peter draws on years of experience consulting with nonprofits on technology projects to give you practical steps to implement quickly.
Don’t miss this chance to learn how your organization can create a technology roadmap that is right for you.
As with all our webinars, this presentation is appropriate for an audience of varied IT experience.
Innovative approach for reporting and analysis to reduced analytical and IT resources at world's largest bank amidst chaotic, seismic change. Deploying information set (content) delivery with flexible, interactive analysis tools (in this case QlikView from QlikTech). Walk through tips of how business analyst survived and succeeded. National Center for Database Marketing Client X Client Case Study Presentation. NCDM presentation December 2008.
DataOps: Nine steps to transform your data science impact Strata London May 18Harvinder Atwal
According to Forrester Research, only 22% of companies are currently seeing a significant return from data science expenditures. Most data science implementations are high-cost IT projects, local applications that are not built to scale for production workflows, or laptop decision support projects that never impact customers. Despite this high failure rate, we keep hearing the same mantra and solutions over and over again. Everybody talks about how to create models, but not many people talk about getting them into production where they can impact customers.
Harvinder Atwal offers an entertaining and practical introduction to DataOps, a new and independent approach to delivering data science value at scale, used at companies like Facebook, Uber, LinkedIn, Twitter, and eBay. The key to adding value through DataOps is to adapt and borrow principles from Agile, Lean, and DevOps. However, DataOps is not just about shipping working machine learning models; it starts with better alignment of data science with the rest of the organization and its goals. Harvinder shares experience-based solutions for increasing your velocity of value creation, including Agile prioritization and collaboration, new operational processes for an end-to-end data lifecycle, developer principles for data scientists, cloud solution architectures to reduce data friction, self-service tools giving data scientists freedom from bottlenecks, and more. The DataOps methodology will enable you to eliminate daily barriers, putting your data scientists in control of delivering ever-faster cutting-edge innovation for your organization and customers.
Digital Workplace Case Study: How the Municipality of Duffel successfully swi...Patrick Van Renterghem
In 6 months time, the Gemeente/Municipality of Duffel has come quite close to transform into a forceful, digital local government thanks to the help of Synergics
Integrating Digital Marketing AnalyticsDaniel Shea
Digital analytics is complicated! Advanced analytics (data science & predictive modeling) are needed to extract the most knowledge. But how? Here is a framework and some tips from my experience peeking through the curtain.
Your take-away from the IT Service Management (ITSM) presentation are:
• A clear understanding of PM practices used in the implementation of ITSM
• Planning tips to successfully deliver an ITSM process improvement project
• Marketing ideas to socialize the message to the organization
• Testing techniques to achieve organic improvements along the way
• Ways to achieve buy-in from stakeholders
DGIQ - Case Studies_ Applications of Data Governance in the Enterprise (Final...Enterprise Knowledge
Thomas Mitrevski, Senior Data Management and Governance Consultant and
Lulit Tesfaye, Partner and Vice President of Knowledge and Data Services
presented “Case Studies: Applications of Data Governance in the Enterprise” on December 6th, 2023 at DGIQ in Washington D.C.
In this presentation, Thomas and Lulit detailed their experiences developing strategies for multiple enterprise-scale data initiatives and provided an understanding of common data governance and maturity needs. Thomas and Lulit based their talk on real-world examples and case studies and provided the audience with examples of achieving buy-in to invest in governance tools and processes, as well as the expected return on investment (ROI).
Check out the presentation below to learn:
How Leading Organizations are Benchmarking Their Data Governance Maturity
Why End-User Training was Imperative in Seeing Scaled Governance Program Adoption
Which Tools and Frameworks were Critical in Getting Started with Data Governance
How Organizations Achieved Success with Data Governance in Under 12 Weeks
What Successful Data Governance Implementation Roadmaps Really Look Like
Opendatabay - Open Data Marketplace.pptxOpendatabay
Opendatabay.com unlocks the power of data for everyone. Open Data Marketplace fosters a collaborative hub for data enthusiasts to explore, share, and contribute to a vast collection of datasets.
First ever open hub for data enthusiasts to collaborate and innovate. A platform to explore, share, and contribute to a vast collection of datasets. Through robust quality control and innovative technologies like blockchain verification, opendatabay ensures the authenticity and reliability of datasets, empowering users to make data-driven decisions with confidence. Leverage cutting-edge AI technologies to enhance the data exploration, analysis, and discovery experience.
From intelligent search and recommendations to automated data productisation and quotation, Opendatabay AI-driven features streamline the data workflow. Finding the data you need shouldn't be a complex. Opendatabay simplifies the data acquisition process with an intuitive interface and robust search tools. Effortlessly explore, discover, and access the data you need, allowing you to focus on extracting valuable insights. Opendatabay breaks new ground with a dedicated, AI-generated, synthetic datasets.
Leverage these privacy-preserving datasets for training and testing AI models without compromising sensitive information. Opendatabay prioritizes transparency by providing detailed metadata, provenance information, and usage guidelines for each dataset, ensuring users have a comprehensive understanding of the data they're working with. By leveraging a powerful combination of distributed ledger technology and rigorous third-party audits Opendatabay ensures the authenticity and reliability of every dataset. Security is at the core of Opendatabay. Marketplace implements stringent security measures, including encryption, access controls, and regular vulnerability assessments, to safeguard your data and protect your privacy.
StarCompliance is a leading firm specializing in the recovery of stolen cryptocurrency. Our comprehensive services are designed to assist individuals and organizations in navigating the complex process of fraud reporting, investigation, and fund recovery. We combine cutting-edge technology with expert legal support to provide a robust solution for victims of crypto theft.
Our Services Include:
Reporting to Tracking Authorities:
We immediately notify all relevant centralized exchanges (CEX), decentralized exchanges (DEX), and wallet providers about the stolen cryptocurrency. This ensures that the stolen assets are flagged as scam transactions, making it impossible for the thief to use them.
Assistance with Filing Police Reports:
We guide you through the process of filing a valid police report. Our support team provides detailed instructions on which police department to contact and helps you complete the necessary paperwork within the critical 72-hour window.
Launching the Refund Process:
Our team of experienced lawyers can initiate lawsuits on your behalf and represent you in various jurisdictions around the world. They work diligently to recover your stolen funds and ensure that justice is served.
At StarCompliance, we understand the urgency and stress involved in dealing with cryptocurrency theft. Our dedicated team works quickly and efficiently to provide you with the support and expertise needed to recover your assets. Trust us to be your partner in navigating the complexities of the crypto world and safeguarding your investments.
Techniques to optimize the pagerank algorithm usually fall in two categories. One is to try reducing the work per iteration, and the other is to try reducing the number of iterations. These goals are often at odds with one another. Skipping computation on vertices which have already converged has the potential to save iteration time. Skipping in-identical vertices, with the same in-links, helps reduce duplicate computations and thus could help reduce iteration time. Road networks often have chains which can be short-circuited before pagerank computation to improve performance. Final ranks of chain nodes can be easily calculated. This could reduce both the iteration time, and the number of iterations. If a graph has no dangling nodes, pagerank of each strongly connected component can be computed in topological order. This could help reduce the iteration time, no. of iterations, and also enable multi-iteration concurrency in pagerank computation. The combination of all of the above methods is the STICD algorithm. [sticd] For dynamic graphs, unchanged components whose ranks are unaffected can be skipped altogether.
Explore our comprehensive data analysis project presentation on predicting product ad campaign performance. Learn how data-driven insights can optimize your marketing strategies and enhance campaign effectiveness. Perfect for professionals and students looking to understand the power of data analysis in advertising. for more details visit: https://bostoninstituteofanalytics.org/data-science-and-artificial-intelligence/
Change Management: The Secret to a Successful SAS® Implementation
1. we create thinking data®
Change Management
The Secret to a Successful SAS® Implementation
Greg Nelson, CPHIMS, MMCi
2. Your Presenter
Greg Nelson, CPHIMS, MMCi
President and CEO – ThotWave Technologies
• Recovering Social PsychologistturnedClinical Informaticist
(Duke University)
• Prolific writer/ presenter (175+ publications/ presentations).
• 25+ year SAS Expert and certified in SAS (Grid Computing, Data
Mining),
• Healthcare Industry Leader
• Six Sigma, Balanced Scorecard, Strategy, Change Management
• Passionate about developingthe next generation of data
champions
5
Copyright 2016, ThotWave Technologies,
LLC.
3. Why should we care about “change”
Best Practices for Leading change
Troubleshooting change
1
2
3
5. Source: Accenture, Counting on Analytical Talent, 2010
Analytics Project
Analytics Group
Solid line indicates a direct line of authority
Dotted line indicates a a partial lien of authority or funding
Corporate
Centralized Decentralized
Function
Corporate Corporate Corporate Corporate
Center of excellence Consulting Functional
Business
Unit
Function Business
Unit
Function Business
Unit
Function Business
Unit
Function Business
Unit
COECOE
Examples of Change: Structure
8. If you want to make enemies,
try to change something…“ Woodrow Wilson
9. People
Process
Technology
Current State Desired Future State
§ Analytical roles are dispersed throughout the organization
§ Focus of people is on creating reports
§ Scant talent possessing sophisticated analytical and consultative skills
§ Perspective of the “Have’s” and “Have-nots” across different departments
§ Analytics “mindset” is spread across clinical, operational, financial, strategic
perspectives
§ Leadership advances the analytical mindset across the value chain
§ Analytics Centers of Excellence (COE) possess analytical competencies in modeling,
data integrity, storytelling, critical thinking and consulting
§ Organizations recognize the importance of the “data pipeline” but it is not a part of
strategic planning
§ Analytics strategy is not universally known/ no sense of urgency
§ Some/ no Master Data Management abilities across limited domains
§ Data governance limited or non-existent
§ Establishing well defined disciplines across the organization relating to:
§ Data acquisition, Data warehousing, Master data management, Data governance,
Analytical planning
§ Organizational imperative for analytics and its contribution to the Learning Health
System
§ Data Warehouse is in place
§ Spread marts are abundant
§ Pockets of analytical “brilliance” propped up by heroes
§ Some ad hoc modeling
§ Sophisticated data integration & warehousing environment
§ Advanced modeling capabilities for predictive analytics and resource optimization
§ Automated standard reporting environment
§ Actionable data – “three clicks to action” environment
Some Hindsight
Limited Insight
Nearly 20/20 Hindsight
Actionable Insight
Realizing Foresight
Examples of Change: Improved Capabilities
11. Technology Change Potential Impact
Examples of Change: SAS Technology
Replacing or upgrading the operating system • SAS specific OS coding changes
• File system changes
• Managing files
• Auditing, Versioning & Monitoring
• Security/ authentication
• Service management
• Third party tools
• Data impact
Old: SAS Display Manager
New: SAS Enterprise Guide (or SAS Studio)
• File system changes
• Operating system changes
• Nuances of the tool
Old: SAS Foundation
New: SAS Data Management (data integration, data
quality, master data management, data governance)
• Metadata
• Process flows
• Roles and responsibilities
• Data stewardship
• Governance processes
12. Emotional Responses to Change
Knows that change
is coming
Has a high level
awareness of what is
driving the change
the broad vision of
change
Awareness
Understands what
the overall future
state (change
solution) looks like
Understands how
new ways of working
will impact them
Understanding
Is the change in his
or her area in order
to try out the change
and become familiar
with its implications
Conveys message
that new ways of
working are soon to
be reality
Adoption
Articulates the
change as the new
status quo and ‘the
way things are done
around here’
Demonstrates
personal ownership
and alignment with
the change
Commitment
13. Individual Change
COMMITMENT
TIME
Each stakeholder group will be moved along the commitment curve at the rate most appropriate and
critical for them.
AWARENESS
UNDERSTANDING
COMMITMENT4
3
2
1
44
3 3
2 2
1 1
Impacted Stakeholders,
(End Users)
Change Network
(Agents)
Project Team &
Sponsors
1
2
3
4
Reinforcing
Leaders
(Champions)
ADOPTION
16. ThotWave’s Best Practice Areas
Change Management Best Practice Areas
v Create a shared change purpose
v Establish a visible and engaged leadership coalition
v Enable engagement and communication
v Support strong individual performance
v Build a supportive organization and culture
v Create a measurement strategy
18. 2. Establish a visible and engaged leadership
coalition
Conventional
Wisdom
Transform the masses!
Tipping Point
Leadership
Transform the extremes: the
people, acts, and activities that
exercise a disproportionate
influence on performance.
19. Prepare Deliver Reinforce/Sustain/Improve
Awareness
Competencies
Skills
Knowledge & Attitudes
Implementation Evaluation
Video
Introduction
Communication
W
TH
Tell - Awareness
— Articles
— Intranet
— Meeting minutes
— Factsheets
— Email summaries
— Posters
— Infographic
— Newsletter
Sell - Understandi ng
— Open forum (event)
— Intranet listening post
— Brochures
— E mail
— Seminars
— Lunch n Learns
— FAQs
TM
Deliver – Action
— Manager guides
— Help line
— Staff Training
— FAQs
— Cheat Sheets
— Usage Guides
CommunicationCommunication
Learning Portal
Skills Development based on role
Skills Integration
ILT
Mentoring/ Expert Network
HyC
MTA
Consult – Engagement
— Briefings
— 1:1 discussions
— Informal networks
— Workshops
— Focus Groups
— Feedback loops
— Open Space
— Microblog
— Posters
Communication
Demonstrations
SG
Sem
TL
Q
Sim
Community of Practice/ Peer-
to-peer learning
Pr
PbL
T
CS
An
P
KC
P
D
Ex
W
ILvT
3. Enable engagement and communication
20. Comm Events
Overview
Architecture Overview
Elevator Speech/
Comms Update
Poster
™ TM Newsflash
—
Training Invites
Training (ELT/CBT)
Training Reminders
Go-Live Announce
Participant Survey
Focus Group
:
ë
G
?
”
*
&
š Email
¸ XXX Demo
Readiness Assess2
On-Boarding
Change Agent Mtgs
Newsletters2
?
”&
&
&
2
2
*
2 2 2
— — —
———
”
U
U
Roadshows/
Lunch and Learn
2
:
ë
¸
One-on-One
*
G
Change Agent
Updates
Tips and Tricks
2
Coaches/
AssistantsLeaders
PilotMgrs/
EmployeesNon-Pilot
Change
Network
1 1
1
q
q q q q q
—
— —
&
š
š
U
š
—
ë
:
::
:
G
*
¸š
™ ™
™2
š
š™
2
”
š™
?
—
U
U
q q
2
”
?
š
2
*
1
4
4
4 Job Aid
¸
Communication Events
5/5 5/12 5/19 5/26 6/2 6/9 6/16 6/23 6/30 7/7 7/14 7/21 7/28 8/4 8/11 8/18 8/25
Sep -
Oct9/1
21. 4. Support strong individual performance
Understanding the
knowledge, skills and abilities
required for success
Training
Focus on performance
management and training
interventions most likely to be
effective and deliver change
benefits
Knowledge Management
Faster time to competency:
employees more quickly able
to perform in new jobs, use
new systems etc.
Culture/Leadership
Supportive mindset and
organizational incentives
designed to realize the benefits
of investing in human capital
Talent management
22. 5. Build a supportive organization and culture
• How should we arrange ourselves – our structure, processes and systems –
to support the change?
• What values, attitudes and behaviors we want to collectively embody?
23. 6. Create a measurement strategy
• What is the best way to track, report and realize the benefits intended?
Audience Span of
Change
Depth of
Change
Rationale for Ratings Overall
Assessment
Stakeholder Group X 3 3 All Client-related activities completed by x will change. They will no longer x Extensive
Stakeholder Group X 2 3 No longer responsible for x. Focus will shift to making minor interventions
based on local intelligence and ensuring x
High
Stakeholder Group X 3 2 Much greater focus on x High
Stakeholder Group X 2 3 Manual data entry into x currently a large part of role. This will be replaced
by increased reporting requirements
High
Stakeholder Group X 3 2 New accountability for x High
Stakeholder Group X 1 3 Relationship with Client and the activities undertaken on their behalf will
change significantly
Medium
Stakeholder Group X 1 3 Relationship with Client and the activities undertaken on their behalf will
change significantly
Medium
Stakeholder Group X 1 3 Little direct impact to own day to day role, but major change for those he
oversees and the way in which new x operations are established in future
Medium
Stakeholder Group X 2 2 x will remain responsible for x but will do so using a new method and have a
greater number of tools to help them do so
Medium
Stakeholder Group X 2 2 x will remain responsible for x but will do so using a new method and have a
greater number of tools to help them do so
Medium
25. Right-Size the Change Management Effort
Breadth of
proposed
change
Depth of
proposed
change
Impact of
proposed
change
Criticality of
proposed
change
26. Components of a change strategy
Vision Skills Incentive Resources Action Plan+ + + + = Results/Change
adapted from Ambrose, Managing Complex Change
29. Skills
Skills = The ability to do something well and with a level of
expertise - Does the team have those skills?
Lack of Skills or Training = Without the skills, or the promise of
skills from a source we trust,we will feel anxiety…
“I can’t!”
“I don’t know how.”
“Will there be a place for me?”
Vision Skills Incentive Resources Action Plan+ + + + = Anxiety