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Project Data Driven Decision Making
         David Nero, City of Boston
Agenda
Background on City of Boston DoIT

Evolution of Software Tools

Using Data in Decision Making
    Budget Development
    Financial Management
    Project Oversight
    Project Pipeline Monitoring

Lessons Learned

Questions/Open Discussion
BACKGROUND ON
THE CITY OF BOSTON
City of Boston DoIT Project Management
•   DoIT (formerly MIS)—Department is a critical part of
    the City’s ability to provide services to constituents    2 full time
                                                             PMs in 2008


•   Growth of City’s Capital Investment in technology
    rose from $2,750,000 in FY 2007 to $19.5 million in FY    8 full time
    2013                                                     PMs in 2013




•   PMO established in 2008—constant evolution with
    tools, processes, execution
City of Boston DoIT Project Management
•   Adopt processes and implement a “system of
    record” for DoIT ideas and projects                   111 “ideas”
                                                          for FY 2012


•   Train PMs and staff on the use of PMO practices and
    the importance of using a system of record            171 “ideas”
                                                          for FY 2014


•   Leverage data and analytics to assist in decision-
    making has become critical in overall resource,
    project, and budget management
EVOLUTION OF
SOFTWARE TOOLS
Evolution of Software Use in DoIT
2007—Nothing--No one knows
the full picture from a
project/investment
perspective
2008--Creates a spreadsheet,                                            2012
then potentially outgrows it and                           2010
moves to an Access Database                   2008                    Enterprise
                                    2007                 Enterprise
                                                                        System
                                             Excel to   Project and
2010--Access Database is           Nothing               Portfoltio      and
                                             Access
replaced by a COTS                                        System      Analytics
Project/Portfolio Management                                           Platform
application

2012--Analytics tool is added
The Road to Data
BEFORE                                 AFTER
Spreadsheet of projects updated by a   Use of an Enterprise Project Software
single resource on behalf of the       tool to manage investments and
department                             projects—system of record

No “depth” of data                     Using Analytics platform to generate
                                       reports for management of the
Manual reporting and analytics         department and PMO
become time consuming and
impossible to maintain                 Increasing need for data as portfolio
                                       grows
Increased demand for data by
decision makers and stakeholders
USING DATA IN
DECISION MAKING
Budget Development
          Creating a process using a central source of data




Managers create           Requests are analyzed   Budget is submitted
“ideas” for investments   based on their          and explained via text,
with budget estimate      amount, their           graphs, context,
and justification         precedence, their       discussions
                          complexity, and the
                          resource required
Financial Management
Graphical report with details is
generated and distributed
each week to remind
department directors of the
overall capital financial status

Multiple dimensions can be
viewed—by director, by
capital, obligated vs
unobligated

Quick snapshot of where
budget vs obligations stand
Project Oversight
Set a target of all
projects updated
every 2 weeks

Pie chart quick
shows where
updates stand

Detail uses sorting
and colors to draw
attention to
important data for
this report              You
                         can
                        delete
                        these
                        coins.
Project Pipeline Monitoring




Data shows where the ideas stand in their overall process

Analytics help directors understand how ideas are flowing, where there might be
bottlenecks, and overall volume in the pipeline
Lessons Learned by DoIT
Data and analytics are only as good as the processes being
used to manage them

Data and analytics should be USED, not looked at


              Staff and stakeholders must embrace the concepts of a
              system of record for data

              Decision makers must be flexible and always be looking to
              improve the data
Questions? Need More Information?
Feel free to contact us.
                           David.nero@cityofboston.gov

                           City of Boston

                           Department of Innovation and
                           Technology

                           Boston City Hall

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Project Data Driven Decision Making

  • 1. Project Data Driven Decision Making David Nero, City of Boston
  • 2.
  • 3. Agenda Background on City of Boston DoIT Evolution of Software Tools Using Data in Decision Making Budget Development Financial Management Project Oversight Project Pipeline Monitoring Lessons Learned Questions/Open Discussion
  • 5. City of Boston DoIT Project Management • DoIT (formerly MIS)—Department is a critical part of the City’s ability to provide services to constituents 2 full time PMs in 2008 • Growth of City’s Capital Investment in technology rose from $2,750,000 in FY 2007 to $19.5 million in FY 8 full time 2013 PMs in 2013 • PMO established in 2008—constant evolution with tools, processes, execution
  • 6. City of Boston DoIT Project Management • Adopt processes and implement a “system of record” for DoIT ideas and projects 111 “ideas” for FY 2012 • Train PMs and staff on the use of PMO practices and the importance of using a system of record 171 “ideas” for FY 2014 • Leverage data and analytics to assist in decision- making has become critical in overall resource, project, and budget management
  • 8. Evolution of Software Use in DoIT 2007—Nothing--No one knows the full picture from a project/investment perspective 2008--Creates a spreadsheet, 2012 then potentially outgrows it and 2010 moves to an Access Database 2008 Enterprise 2007 Enterprise System Excel to Project and 2010--Access Database is Nothing Portfoltio and Access replaced by a COTS System Analytics Project/Portfolio Management Platform application 2012--Analytics tool is added
  • 9. The Road to Data BEFORE AFTER Spreadsheet of projects updated by a Use of an Enterprise Project Software single resource on behalf of the tool to manage investments and department projects—system of record No “depth” of data Using Analytics platform to generate reports for management of the Manual reporting and analytics department and PMO become time consuming and impossible to maintain Increasing need for data as portfolio grows Increased demand for data by decision makers and stakeholders
  • 11. Budget Development Creating a process using a central source of data Managers create Requests are analyzed Budget is submitted “ideas” for investments based on their and explained via text, with budget estimate amount, their graphs, context, and justification precedence, their discussions complexity, and the resource required
  • 12. Financial Management Graphical report with details is generated and distributed each week to remind department directors of the overall capital financial status Multiple dimensions can be viewed—by director, by capital, obligated vs unobligated Quick snapshot of where budget vs obligations stand
  • 13. Project Oversight Set a target of all projects updated every 2 weeks Pie chart quick shows where updates stand Detail uses sorting and colors to draw attention to important data for this report You can delete these coins.
  • 14. Project Pipeline Monitoring Data shows where the ideas stand in their overall process Analytics help directors understand how ideas are flowing, where there might be bottlenecks, and overall volume in the pipeline
  • 15. Lessons Learned by DoIT Data and analytics are only as good as the processes being used to manage them Data and analytics should be USED, not looked at Staff and stakeholders must embrace the concepts of a system of record for data Decision makers must be flexible and always be looking to improve the data
  • 16. Questions? Need More Information? Feel free to contact us. David.nero@cityofboston.gov City of Boston Department of Innovation and Technology Boston City Hall