Archive for March 4th, 2016

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Live Webinar March 10th, 2016 11:00 am – 12:30 pm EST
Duration: 1 Hour 30 Min Credits: 1 PDU Category A – Free PDU
By: Computer Aid Inc IT Metrics & Productivity Institute (Rep 2733)

Register today for:
Analytics-based Enterprise Performance Management

Note: In the presentation description below, the term “Enterprise Performance Management” EPM is used. It is a synonymous term for “Corporate Performance Management” CPM and “Business Performance Management” BPM.

Attend this session if you have FUD
(Fear, Uncertainty, & Doubt) concerns about your organization!

Many organizations struggle to answer these types of questions:

  • How well do our managers and employees understand our executive team’s strategy?
  • Are we measuring the right metrics?
  • If we are measuring key performance indicators (KPIs), are they “balanced” between financial outcomes and the non-financial measures related to customer loyalty, process improvement, employee learning & growth, and innovation?
  • Are we measuring too many strategic KPIs where many are arguably operational performance indicators (PIs)?
  • Are our product and service-line costs accurate? Or are our accountants mis-allocating indirect expenses (i.e., overhead support)?
  • Do we measure non-product channel and customer costs to report profit or loss by each customer?
  • How effective is our annual budgeting process? Does its benefit exceed the costs to produce it?
  • Is the budget out of date within a few months after it is published?
  • Do experienced managers “pad” their department’s budgets?
  • Is consolidating cost center budgets bottom-up cumbersome?
  • Do we understand incremental / marginal expense analysis classifying the behaviour of our resource capacity expenses as sunk, fixed, step-fixed, or variable based on the planning time horizon?
  • Are many of our decisions based on intuition or experience rather than on fact-based data?
  • How much competency does our organization have with analytics?
  • How much resistance to change does our organization have that is slowing our adoption rate of progressive managerial methods?

In this “not to be missed” session Gary Cokins (LinkedIn profile), the preeminent organizational performance practitioner & best selling author, will describe how to complete the full vision of analytics-based enterprise performance management and improvement!

Many organizations are far from where they want and need to be with improving performance, and they apply intuition, rather than hard data, when making decisions.

Enterprise performance management (EPM) is now viewed as the seamless integration of managerial methods such as strategy execution with a strategy map and its companion balanced scorecard (KPIs) and operational dashboards (PIs); enterprise risk management (ERM); driver-based budgets and rolling financial forecasts; product / service / channel / customer profitability analysis (using activity-based costing [ABC] principles); customer lifetime value (CLV); lean and Six Sigma quality management for operational improvement; and resource capacity planning.

Each method should be embedded with business analytics of all flavors, such as correlation, segmentation and regression analysis, and especially predictive analytics as a bridge to prescriptive analytics to yield the best (ideally optimal) decisions.

In this session Mr Cokins covers:

  • How strategy maps and their companion balanced scorecards communicate strategic objectives
    • with target-setting to help cross-functional employee teams align their behavior to the strategy and better collaborate.
  • Why measures of channel and customer profitability and customer value are now superceding profit and service-line measures
    • shifting from product to customer-focused organizations including future potential value – customer lifetime value.
  • How activity-based cost management (ABC/M) provides not only accurately traced calculated costs (relative to arbitrary broad-averaged cost allocations), but more importantly provides cost transparency back to the work processes and consumed resources, and to what drivers cause work activities.
  • Reforming the broken annual budgeting process with performance based budgeting that links strategy to operations and is process volume sensitive rather than simply incremental at each cost center.
  • How EPM/CPM also applies to public sector government to understand their “output costs” and better serve citizens.
  • Why business analytics, with emphasis on predictive analytics and pro-active decision making, is becoming a competitive advantage differentiator and an enabler for trade-off analysis.
  • How all levels of management can quickly see and assess how they are doing on what is important – typically with only a maximum of three key performance indicators (KPIs).
  • How to integrate performance measurement scorecards and ABC/M data with:
    • Strategy formulation.
    • Process-based thinking and operational productivity improvement.
    • Channel/customer profitability and value analysis and CRM.
    • Supply chain management.
    • Quality and lean management (Six Sigma, cost of quality).

Learning Objectives:

  1. How to view enterprise and corporate performance management (EPM/CPM) as the seamless integration of managerial methods rather than as a process.
  2. Understand how business analytics is an advance over business intelligence and where Big Data fits in.
  3. How to identify and differentiate strategic KPIs in a balanced scorecard and operational performance indicators (PIs) in dashboards.
  4. How to properly calculate product, service-line, channel, and customer profitability for analysis, insights and actions.
  5. How to perform “predictive accounting” for driver-based budgets / rolling financial forecasts, what-if analysis, and outsourcing decisions
  6. How to overcome implementation barriers such as behavioral resistance to change and fear of being held accountable.

Some of Gary’s Very Informative Books:

About Gary Cokins:

Gary Cokins (LinkedIn profile) is an internationally recognized expert, sought after keynote speaker, and author in advanced cost management and performance improvement systems.

Founder of Analytics-Based Performance Management, an advisory firm located in Cary, North Carolina Gary has written numerous books and mentored individuals and organizations in performance management over the last 40+ years. Gary received a BS degree with honors in Industrial Engineering/Operations Research from Cornell University in 1971 and his MBA from Northwestern University’s Kellogg School of Management in 1974.

Gary began his career as a strategic planner with FMC’s Link-Belt Division, Financial Controller and Operations Manager and in 1981 Gary began his management consulting career first with Deloitte consulting, and then KPMG consulting. In 1992 Gary headed the National Cost Management Consulting Services for Electronic Data Systems (EDS). From 1997 until recently Gary was in business development with SAS, a leading provider of enterprise performance management and business analytics and intelligence software.

Gary’s two most recent books are Performance Management: Finding the Missing Pieces to Close the Intelligence Gap  and Performance Management: Integrating Strategy Execution, Methodologies, Risk, and Analytics .

His most recent book co-authored with Larry Maisel (LinkedIn profile) is Predictive Business Analytics: Forward Looking Capabilities to Improve Business Performance. Visit Mr. Cokins site at GaryCokins.com.

Click to register for:
Analytics-based Enterprise Performance Management

1.0 0 0
Technical Project Management Leadership Strategic & Business Management

 

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Live Webinar March 9th, 2016 – 2:00 pm – 3:00 pm  EST
Duration: 1 hour webinar Credits: 1 PDU Category A – Free PDU
By: ProjectManagement.com / Gantthead (REP #2488)
Once viewed your PDU Will automatically Be recorded with PMI®

ProjectManagement.com / Gantthead premium content
Is available to PMI® members.

In this webinar Bryan Shelby (LinkedIn profile) walks the participants through a hypothetical case study created for a chapter in a new book, “Organizational Change: Strategies for Success”.

Using this case study as an example, Bryan will relate the practices outlined in PMI Practice Guide for Managing Change in Organizations to the disciplines of Portfolio, Program, and Project Management, and how the managers in these roles can contribute to the success (or failure) of organizational change initiatives.

Note: You have to sign in to ProjectManagement.com with your PMI® credentials to register for this opportunity. If you are not signed in with your PMI® credentials you will not see the “Register for this webinar” link

Click to register for:
Organizational Change Management: The Role Of Portfolio, Program, & Project Managers

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Technical Project Management Leadership Strategic & Business Management
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Online Webinar – Recorded October 7th 2015
Offered by ASPE (REP 2161) 1 Category A PDU – Free PDU

From the world of manufacturing, to Agile, to DevOps, the concept of “Kaizen” has become foundational to linking the team mentality to the long-term quality of a team’s actual output.

Literally meaning “good change,” in Japanese, in a larger sense Kaizen is a term that has come to mean continuous improvement in the world of IT and software projects.

If you think stellar, delightful, compulsive quality is important for your success – and you’d better – then the concept of Kaizen is critical to how you teach your teams, how you lead your teams, and how you perform your work.

In recent years, the wide-open marketplace and a rising Agile mentality has made it obvious that cultural elements in the workplace are just as important as specific tools and processes.

Among these cultural elements, none is more important than a well-established dedication to Continuous Improvement.

Let Chris Knotts (LinkedIn profile) help you put practical lessons in place to begin putting your continuous improvement program today!

Click to register for:
Kaizen: Practical Lessons
On Adopting a Continuous Improvement Ethic

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Technical Project Management Leadership Strategic & Business Management
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Live Webinar March 10th, 2016 1:00 PM – 2:00 PM EST
Duration: 1 Hour Credits: 1 PDU Category C Free
Presented by : O’Reilly

Machine learning is changing the way organizations look at analytics.

Data scientists are being recognized as a key component in organizational analytics, but management often doesn’t understand their work or know how to effectively manage them.

Many businesses understand that analytics has moved beyond the data warehouse, and are pushing analysts and IT to grab and analyze data from new sources even though they may not be ready to derive business value from these new data.

Open source is seen as the path to machine learning innovation, despite challenges with deployment and approachable user interfaces.

For organizations using or looking to adopt machine learning techniques, moving forward may be a challenge and measuring success even trickier.

In this webcast, Andrew and Patrick will:

  • Discuss how different organizations are finding success with machine learning
  • Look at how organizations are feeding the creativity of data scientists, providing analytic accessibility to business experts, and pushing the analytics closer to the data.
  • Identify how organizations are automating analytic processes in order to free up time for new analytics, new data, and new business problem domains, ultimately creating real competitive advantage.

Presenters:

Andrew Pease (LinkedIn profile) is passionate about getting the most out of data analysis for answering big questions & challenging the status quo. As leader of the analytics team in the SAS Global Technology Practice, Andrew helps organizations to develop & implement analytic roadmaps for combining internal and external data sources, exploiting Hadoop and using high performance analytics to embed analytics in core business processes. Andrew also helps data scientists keep abreast of the latest developments in analytic approaches.

Patrick Hall (LinkedIn profile) is a senior staff scientist at SAS where he designs new data mining and machine learning technologies. He is the 11th person worldwide to become a Cloudera certified data scientist. Patrick studied computational chemistry at the University of Illinois before graduating from the Institute for Advanced Analytics at North Carolina State University in 2012.

PDU Category C (PMBOK 5) documentation details:
Process Groups: Planning Executing
Knowledge Areas: 5 – Scope 6 – Time 10 – Communications

  • 4.2 Develop Project Management Plan
  • 5.2 Collect Requirements
  • 5.3 Define Scope
  • 9.3 Develop Project Team

As a Category C ‘Self Directed Learning Activity’ remember to document your learning experience and its relationship to project management for your ‘PDU Audit Trail Folder’

Click to register for:
How The Machine Learning Wave Is Changing The Way Organizations Look At Analytics

0 0 1.0
Technical Project Management Leadership Strategic & Business Management