---
title: The gap between Latency and Execution stages
description: How do we fill pipelines to make the best use of the network rather than reducing the total of data sent?
image: https://blog.prophetic-technology.com/hubfs/marcin-jozwiak-kGoPcmpPT7c-unsplash.jpg
---

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# [The gap between Latency and Execution stages](https://blog.prophetic-technology.com/the-gap-between-latency-and-execution-stages)

Why are Supply Chain Planning (SCP) heads so concerned about Latency and Execution stages?

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Posted by [Dave Food](https://blog.prophetic-technology.com/author/dave-food) on Feb 3, 2020 5:37:52 PM

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Why are Supply Chain Planning (**SCP**) heads so concerned about **Latency** and **Execution** stages?

**Latency affecting the Execution stage**

The problem for many **SCP** heads is that they depend on *obsolete data* to make a *forecast*, that tend to *worsen the quality* of planning decisions.  

**Latency** is the *processing delay* computed *from the entry* of an order to the *transmission of acknowledgement* from the *vendor’s computer*. In a *two-way communication* system, **Latency** *limits the highest speed* to send information out, as there is regularly *restriction on the extent* of information that is ‘en route’ at *any given moment*. 

For instance, in human-machine interaction **Latency** has a profound impact on the operator's *fulfilment* and *efficiency*. *Trading* using computers has matured to the point where *millisecond improvements* in network *speeds*, grant a competitive advantage for financial organisations.

**SCP** leaders found a great *tricky situation* when it comes to *data* **Latency** and **Execution** *predictions*, as it likely *degrades the quality* of the *planning decisions*. Given the several hours it takes from collecting *initial data*, processing it, and the **Execution** stage, leaders have to rely on *outdated data* to *make predictions* because of this gap information is already in a completely different situation.

***The great news is that technology can reduce data latency significantly!***

**Mitigating Latency**

How to overcome this significant challenge*? By speeding up* whatever data captured to allow *fast access* to applications, to *secure data* as part of *back-ups*, or to *categorise strategy*. 

*How do we fill pipelines* to *make the best use* of the network *rather than reducing* the total of data sent? The *elimination of redundant data* and *compression apps* are the *only way to* *performance progress*. With Machine Learning (**ML**) and other technologies, you would *solve* issues around *small pipelines* and possible failure happening when accelerating data. 

*Deployment* and *performance* of tech allow data to *get closer* to the *company capacity*, making it *easier for customers* to *move data* to the cloud, *gaining the ability* to roll up-and-down their servers where appropriate. The key is the *full comprehension* of what the business demands *to secure* *service excellence*.  **IT** must team to be aware of how to handle it over its working life-span through *putting in place useful management* tools.

It is vital for industries when *algorithmic trading needs milliseconds* to both, *handle market updates* and *fulfilling order*. For instance, when Financial establishments need to link to stock exchanges and electronic-communication networks to implement financial operations.

**Execution phase**

The Execution phase is when *specific project management is put to action*; it often includes the stages of *design, production,* and *implementation*, concerning to *the progression* through which a system moves from an i*nitial idea* to a *finished-physical-end item.* To facilitate the *supervision* and *management* of the project all through these **phase**s, you will need to *carry out* a *series of management processes* which can help you *to handle* time, cost, quality, changes, and risks.

*The Execution phase is the longest part* where the system is *implemented*, *set up* and *turn into* the *final product* for the customer, accomplishing the whole action.

**Further comments:** so often, even initial data is some hours out-dated when the *planning analytics is flowing* on. Technology reduces data **Latency** radically; the involvement of **IT** is essential to ensure to meet business *service expectations* from day one.  The collaboration between **CFOs** and **CIOs** will *accelerate cloud storage*. Therefore, be committed to r*educing the effects* of **Latenc***y* *in favour* of Execution radically.

**Dave Food**

[Prophetic Technology](https://www.prophetic-technology.com/)

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