In this article, we will help you understand CFD forecasts in ESP analytics. Skip Ahead to: Capacity Distribution Forecast Distribution Forecast Capacity Distribution Based on the throughput in the system for 28 days, i.e. the cards being archived or moved to the Done lane during that period, this distribution chart shows the number of days […]

In this article, we will help you understand liquidity in ESP analytics. Skip Ahead to: Transactional Volume Raw Volatility Volatility Turbulence Transactional Volume The Transactional Volume displays the number of decisions made on the Board. Here, the decision means when a card moves from a wait column to a work column, or wait column to […]

In this article, we will help you understand aging in ESP analytics. Skip Ahead to: Applying Filters WIP Flow Debt Aging Analytics is the combination of a couple of composite charts that work as a  leading indicator for the non-finished cards and provide insight into which items are flowing well and which are stuck even […]

In this article, we will help you understand flow efficiency in ESP analytics. Skip Ahead to: Overview Flow Efficiency Scatterplot Flow Efficiency Histogram Work Time vs Wait Time Overview Flow Efficiency helps you measure the actual work time against the Lead time. So, the efficiency can be measured by dividing Work Time by the combination […]

In this article, we will help you understand cycle time in ESP Analytics. Skip Ahead to: Overview Cycle Time Scatter Plot Card Distribution Pie Chart Cycle Time Histogram Overview Cycle time is defined here as the difference between the exit time and the corresponding entry time of a card, that is the time spent in […]

In this article, we will help you understand capacity in ESP Analytics. Skip Ahead to: Overview Calculation Logic for Capacity Summary Card Distribution Capacity Histogram Overview It is a series of stacked bar charts showing the capacity over time based on the historical data of cards exiting the selected region of the value stream. A card […]

In this article, we will help you understand demand analytics in ESP analytics. Skip Ahead to: Overview Demand Stacked Bar Chart Summary Card Distribution Demand Histogram Overview The  Demand analytics focuses on the amount of work being accepted into the Ready column of your Kanban board at different time stamps. The bar chart shows the […]

The Cumulative Flow Diagram (CFD) provides a graphical representation of how the work is moving through the system, helping stabilize the system, act upon bottlenecks and control the scope of work. It is a simple, yet very informative tool that depicts the work in progress (WIP), entry rate, exit rate, lead time, throughput, elapsed time, […]

The Filter is available with every analytics and lets you refine your data either by card attributes or the stages of the Value Stream through which work moves from initiation to completion. The Card Attributes having List of Values (LoVs) are displayed as filtering options in the Filter pane. Moreover, all the stages of your Value Stream appear under […]

*** This is a licensed feature. Please contact us at [email protected] to know how to avail it. Enterprise Services Planning (ESP) represents the body of knowledge that helps decisions makers such as senior executives, portfolio managers, and risk managers use their Kanban-based systems’ actual performance data to understand the customer demand on their systems, their systems’ delivery capability, […]

One of the key elements of Enterprise Services Planning and related disciplines of Portfolio, Program/Project, or Release Management is Risk Management. Without having a concrete risk analysis and mitigation framework, it is impossible to plan and manage a Portfolio of Projects Initiatives or Product Features effectively, as one needs to have full visibility and a […]

Scope Forecast Analytic helps you visualize the impact of your future delivery in terms of Lead Time and the Cost of Delay. Based on the current cadence of a board for a specific duration, the Scope Forecast chart can render predictive data on the Cost of Delay while taking into account your calibration on the […]