#planninganalytics

Analysis of data and planning accordingly helps organizations to build a great business plan which is where ANAPLAN comes into picture.

The new normal for the supply chain today is one of regional and global disruption. To prevent bullwhip effects propagating through the supply chain, organisations need to exhibit responsiveness to such disruptions. A responsive strategy that delivers the desired result is one that is backed by process and operational efficiency, including planning efficiency.

For instance, during a demand spike, manufacturers may quickly need to divert the existing manufacturing capacity towards the production of more on-demand products. Further, for production to yield the desired output, the production plan must also generate maximum throughput without incurring additional costs. This requires planning that is fast, adjusts proactively to changing product validities and resource profiles, and delivers a productive output on implementation.

To know how Verdis planning solutions enable organisations to generate the desired responsiveness, let us know your interest for a demo here:

https://bit.ly/2NaeHmM

Business process automation is being increasingly adopted by organisations to improve productivity and efficiency of resource utilisation. But, which planning processes should be automated?

A planning process should be chosen for automation if:

· The process is repetitive in nature. · Any inadvertent errors in planning can have major consequences such as lost sales, waste of resources, and high operational costs. · The process is of such high complexity that planning delivers suboptimal results. · It takes a long time to complete a planning run and includes activities such as data collection, data cleansing, computation, and analysis. · Multiple business objectives need to be fulfilled, such as cost reduction and sales order fulfilment.

In the age of volatility, responsiveness has become the new yardstick for measuring the competitiveness of the supply chain. Responsiveness requires a timely and coordinated orchestration of business processes, including effective planning and execution.

If, however, planning is slow or inefficient, planning itself can emerge as a bottleneck, prohibiting the response action of organisations.

For instance, · It may take hours and even days for assembling and sanitising the data and developing an executable plan. · Despite the best efforts, errors may exist, requiring plans to be rerun again. · Planned outputs may be suboptimal.

As per the 2021 BDO Manufacturing CFO Outlook Survey, around 73% of mid-market manufacturing companies in the US are either struggling or just surviving. Consequently, the 2 top business priorities are technological investment (at 26%), cutting costs (17%), and managing the economic downturn (16%). In other words, the emphasis is on technological and process innovation that supports growth and sustenance but also helps businesses ride through financial pressure.

Anaplan is a cloud-based planning and modeling platform that enables organizations to automate, integrate data and drive dynamic real-time updates to their planning and budgeting processes.

Traditional Planning 

  - Dependant on volumes of data from different sources. Without data validation, plans are flawed and the waste of time and resources is substantial.

- Cost optimisation is sub-optimal, especially for vast volumes of data or when multiple objectives are prioritised.

- The time required for planning can spread over days and involves a large talent base.

VERDIS Planning

- Master data management is implemented to create a reference framework of accurate data, against which all operational data is validated. - Automation of planning ensures faster planning and re-planning on demand - Optimisation algorithms optimise costs – 5-16% depending on the context, besides guaranteeing maximum order fulfilment.