1.21 Release - Decision Lens Accelerate Soft Launch - (September 19, 2019)

Data Studio

Data Studio meets an organization where they are within their level of maturity of data management. Decision Lens offers a variety of ways to manage data including import tools, integrations, or manual data entry.

The Projects and Schedule Views enable SME’s to input and manage all data related to the projects they are managing such as status and timing, and sources of value, risk, cost or categorizations.

The Schedule View offers planners a place to manage the plans budgets and project costs. It has two main views, offering a place to manage and view the data in a table or to visualize the plans schedule in a Gantt View.

The Activity Log tracks all changes within a plan, giving plan users insight into who is making plan modifications and when they were made.

Additional Data Studio Features:

  • Microservices Architecture
  • Scalable and responsive
  • Real time distributed data management
  • Use of Status to track initiatives from concept to completion
  • Introduction of a “Baseline” plan as a reference point by which all potential changes can be compared
  • View and edit permissions for plan users
  • Able to handle high data definition or early estimates
  • Flexible data grid to allow for agile planning in a single screen
  • Requests vs. Right sized budget allocations
  • Advanced filtering to focus on specific sources of funding, project types or other categorizations

 

Prioritization Toolkit

The Prioritization Toolkit offers 3 ways to prioritize projects prior to scheduling them within a plan:

  1. Manually: Use the data that you already have from your organization. Data can be manually entered or imported.
  2. Quick Rating: If you do not yet have measurements for your projects riskiness or value, use the Quick Rating feature to assign a rating of 1-5 so each project can be evaluate within the Decision Lens Recommendation Engine.
  3. AHP Exercise: The Analytic Hierarchy Process (AHP) is an in-depth collaborative decision making methodology that helps:
  • Develop quantifiable value-to-goal metrics which projects can be measured
  • against
  • Develop hierarchical structure of value-to-goal metrics
  • Create scores per metric and overall scores through the hierarchy
  • Show how aligned a project is to the defined metrics

 

Recommendation Engine

The Decision Lens Recommendation Engine uses a genetic algorithm to run through a universe of options to see if there are other funding options that could improve a plan overall or within a specific area.

  • Adjust the timeframe that you want to improve within
  • View improvements and recommendations within a graph to visually see how the plan would be improved
  • Receive recommendations overall or across a specific dimension of Value, Cost, Risk or Balance

 

Comparisons

The Compare section allows data between multiple plans to be compared at a Summary level or Project level to understand which projects would be funded within each plan and with those projects, what each plan’s composition looks like across Value, Risk, Cost and Balance.

The Summary View grades each plan across Value, Cost, Risk and Balance as well as provides visualizations to understand at a high level how each plan performs across each dimension. This view is great to quickly understand how risky a plan is across the spectrum of projects that could be funded or to better understand if the projects funded within a plan are impacting key performance and value measures that need to be hit. It can also give insight into if a plan is over or under budget across various funding sources.

The What’s In View within the Compare section gives a project breakdown to see which projects are funded within each plan and how the composition of those projects differs across plans for the status, timing and allocation amounts.

 

Portfolio Rollup

Portfolio Rollup enables organizations to combine sub-portfolios that might be managed individually into one enterprise view. This enables all project and portfolio schedules to be viewed in one central location to understand how an enterprise is performing across the board.