Investment return rate analysis with KNIME enables you to compare the performance of multiple portfolios—such as monthly investment schemes or standalone projects—by reading, transforming, and enriching cash-flow data, calculating key metrics like IRR, and visualizing which investments offer the best return, all within a transparent and reusable workflow.
This Investment Return Rate Indices workflow computes and compares the financial performance of multiple portfolios by calculating the standardized return metric IRR. It includes:

Investment return rate indices are metrics used to evaluate how well a portfolio or project performs relative to its cost, time horizon, and associated risk. These include measures like internal rate of return (IRR), modified IRR, discount-rate adjusted returns, and net present value (NPV) expressed as a comparable index. This process helps rank and compare portfolios with regular or irregular cash flows based on their financial performance.

To make informed investment decisions, you must compare portfolios using consistent and reliable metrics. Differences in cash flow timing, discount rates, or missing cost data can lead to misleading comparisons. A standardized return rate index helps ensure that you’re evaluating projects on equal footing—supporting confident, data-driven choices about where to invest.



Import cash-flow data, project costs, and discount rates from Excel, CSV, databases, or ERP systems. Standardize structures across portfolios by aligning column names, parsing dates, and ensuring currency and amount formats are consistent.

Reformat individual sheets by filling gaps, correcting date formats, and merging cost and investment records. Add discount-rate or reinvestment assumptions as metadata to enable accurate metric calculations.

Use built-in KNIME components to calculate return rate indices—such as IRR for periodic investments.

Create bar charts or ranking dashboards to show return rates side by side, highlight top performers, and support investment decisions with clear visuals.
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A playlist of videos on using KNIME to solve common tasks in finance departments.
Yes — the workflow example covers both regular monthly investments and irregular investment project cash‑flows. The key is to ensure your data is formatted appropriately (dates, cash‑flow values, cost/investment entries).
You can enrich your data in KNIME by adding a discount‑rate column per project (via join or lookup). The IRR component supports variable discount rates when structured correctly.
Yes — after computation and visualization, you can export the result table (e.g., Excel Writer node) and/or visual views to Data Apps. You can also share these Data Apps using one of KNIME’s paid plans.
Very easy- because the workflow is built in KNIME’s visual pipeline style, you can add new data sources, automate data ingestion, loop through portfolios, and schedule reruns when new cash flows arrive. This avoids manual rebuilding each time.