!--Start of Tawk.to Script--> anamind BLOG ~ anamind


How Much Data Is Good For Forecasting?

When a demand planner thinks about Forecasting the first thing that comes to mind is data. It is a common question by the planners about ‘how much data is required for forecasting’. In this article, we are going to discuss about the amount of data required for the reliable Forecasting. First let us burst the […]

Explaining Business Planning through the Game of Cricket

If you are a demand planner or working in a supply chain team in an organization, there is good probability that you may be frequently feeling the need for a collaborative business planning.

5 reasons your company should invest in Business Planning Training

To perform at peak capacity one needs to stay sharp. In corporate culture to stay ahead you need to constantly sharpen the skills. Training helps reinforced the learnings demanded by the

Does your planning software have a genie ?

The function of planning and forecasting goes back a long way and has mentions as an ancient practice in religious and historical texts. Like all other phenomena, the function deals with

The Problem with Negative Values in Time-Series Forecasting

There is an old expression that is ubiquitous in human activities that involve the use of input data to create actionable information. That expression is: ‘Garbage In, Garbage Out’.   The same

Forecasting Intermittent Demand – A Proposal

Arguably, SKUs with Intermittent Demand are some of the most challenging to forecast with any modicum of accuracy.  We generally define Intermittent Demand as follows: Intermittent series has

The 7 Habits of Highly Effective Forecasters

As a consequence of being in a forecasting consultancy we have picked up an in-depth understanding of the planning and forecasting functions of the firms. One conclusion we have drawn is that

Romancing the Regression Equation

Regression is one of the highly spoken about quantitiative methods in forecasting. It is a statistical method of identifying relationship between two or more variables (one dependent variable and

How to use Exception Reports to Evaluate Forecast Errors

How to Analyse Variations in Forecast vs. Actuals to Improve Forecasts. The job of demand planners is not over by generating forecast numbers. In order to assist the planning process team and
« Previous12Next »
Follow by Email