Traditionally, companies have used data to forecast trends based on historical evidence. As the amount of available data has exploded, particularly on the internet and social media –obtaining meaningful insights has become more difficult.

Analytics make it possible to find the meaning behind the numbers, so they can be used to predict outcomes against variables. Strategic value comes from turning data into reports that inform strategic decisions by illustrating the relationship between all of an organization’s projects, their effect on resources and ultimately profitability.

Data charts can show a manager at a glance how each project is progressing: whether milestones are being met and budgets are in line. Detailed analytics take a broader view. For example, they might show the total time a team member allocates to each project, his or her contributions to meeting goals and how a small shift in focus might improve outcomes –in other words, how each person fits into and affects the project. Analytics save time by giving context to data, so it becomes easier to maximize productivity and prioritize tasks. Using analytics can help project managers handle complex projects and keep them on – schedule and on-budget. Using analytics, project management professionals have the ability to go beyond simply capturing data and checking tasks off as they’re completed. Now , they find out a multitude of information , including exactly how projects are performing and whether or not they are in line with the overall objectives .Analytics give project managers the ability to make strategic decisions and improve project success rate.

For organizations to take their basic project reporting from status reports based on siloed data to true project analytics, they must consolidate and organize data across all projects. Project analytics need the same ground-level data now collected at the tactical level – time sheets, budget records, plans and schedules – but they need it for all projects in progress. For analytics to have strategic value, executives and project managers need to have the ability to see the workloads and resources assigned to multiple projects. A consolidated view of that information enables project stakeholders to:

Assess the viability of projects within a portfolio;
Decide whether projects are meeting Key Performance Indicators (KPIs); and
Provide clients access to relevant data for checking on their projects’ progress.

Whether your goal is to learn the basics of project management analytics or to improve your personal productivity or improve decision making using basic analytic skills, this training will deliver this result.



COURSE OBJECTIVE

Define and describe project management analytics
Identify the role of analytics in project management.
Equip Project Managers on how to collect information for strategic decision making
Increasing the ROI of companies through introducing strategic Value
Identify what knowledge and experience is needed to make strategic decision and improve decision value.


COURSE CONTENT

Understanding Strategy and Project Management
Project Analytics: Its importance in making strategic project decisions
Managing Project Data : 1 Why data management

2 How to collect Data

3 Essential tools for collecting Data



Program Management Overview
Essentials Project management data and usage.



COURSE METHODOLOGY

Formal lectures
Case studies
Group exercises
Experience sharing



BENEFITS

35 PDU Event
Increased Management Support for Project initiatives
Better Project Communication
Improved Project Analytical Skills

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