---
title: Turn into a Prescriptive Analytics Expert
description: What do you need to make the most-knowledgeable-decisions when operating Prescriptive Analytics?
image: https://blog.prophetic-technology.com/hubfs/adeolu-eletu-unRkg2jH1j0-unsplash.jpg
---

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# [Turn into a Prescriptive Analytics Expert](https://blog.prophetic-technology.com/turn-into-a-prescriptive-analytics-expert)

Prescriptive Analytics turns you into a Strategic Business partner through the transformational-valu...

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Posted by [Dave Food](https://blog.prophetic-technology.com/author/dave-food) on Jun 2, 2020 3:47:34 PM

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**Prescriptive Analytics** turns you into *a Strategic Business partner* through the transformational-value of your business. **Prescriptive Analytics** nowadays has good market penetrations, and it is likely to extend even further by 2020.  

**Outlining Prescriptive Analytics**

**Prescriptive Analytics** real explosion began in 2013, and it continues to grow year after year. In early 2011, the term Prescriptive Analytics first appeared in Gartner (a well-recognised-technology-research multinational). Since then, a keen interest on this approach is vital.

**IT** departments could tell you that it would be *not viable* for you to find a solution to your problems *unless YOU ARE adding a skilled-full-time programmer. *This problem of misconception about *integrating innovative technology* seems to be a global issue across many industries. To help to stop this *false information* and *correctly coach participants* within a business on **Prescriptive Analytics**, please analyse these facts:

**You benefit from:**

·       Improved *ability to respond without delay* to market changes in most favourable approaches.

·       *Enhanced trust in your Marketing plans*, winning the *loyalty* of Sales, Finance, and Operations areas.

·       A Return on Investment (**ROI**) on your marketing initiatives.

·       The benefit of a per cent of the Marketing annual-income.

**Widespread uses of this tool:**

·       Augmenting *product* range or *machine/resource distribution*.

·       *To increase the number of beds* and the *additional-hours shifts* in a hospital.

·       *Risk alleviation* of future scenarios.

Key **mathematical-based** *fields* of **Prescriptive Analytics** encompass**:**

·       Process examination.

·       Machine Learning (**ML**).

·       Natural Language processing.

·       Applied Statistics.

Each domain of learning includes several *sub-disciplines* and *alternatives*. For instance, Operations Research contains various *dissimilar systems* such as Simulation, Decision Analysis, and Optimisation.

**What do you need** to make the *most-knowledgeable-decisions* when operating **Prescriptive Analytics**?

Experts divide **Prescriptive Analytics** into *two different approaches*:

·       *Heuristics-based automated decision-making* (defined as a method of solving problems by finding practical ways of dealing with them, learning from past experiences.)

·       Optimisation-based decision support.

**Heuristics-based decision automation**

It is a different approach, meaning that when an *event takes place*, the *system will determine what to do*, because of a *set of already-defined rules* plugged in. These rules are typically determined by *humans using intuitive sense* and *best practices*, **no math at all!** This kind of approach *cannot grant a solution beyond* of what has been preset.

**Optimisation-based decision support**

To get to the bottom of operational issues, such as Logistics planning or route optimisation, Operations Research experts *usually utilise optimisation*. Advanced-optimisation approaches *link the value chain* with financials, *driving higher-quality info* than with single predictive or **BI** models, and achieves *domestic-data consistency,* and pin-point *unachievable outcomes*.

Using **Prescriptive Analytics** in optimisation *allows users to overcome* all these issues and encounter most of *the goals set by* your enterprise. The top thing to observe is that it operates *mathematical-algorithms* that function *accordingly to the needs* and *realities of your business*, hence, continually supplying *achievable strategies*.

What to *take away*? To know the different procedures to operate **Prescriptive Analytics**; while *there is not an immediate requirement* to go *deeply into math*, Supply Chain leaders **do** need *to appreciate the value* each method can generate, as it can transform the entire company.

**Summing up:** top companies are making great efforts on moving from the traditional *Descriptive* and *Diagnostic Analytic* proficiencies towards **Prescriptive Analytics**.  Embracing this valuable tool is decisive for your enterprise supply chains *to procure a useful gain* at once and in the future.

 

**Dave Food**

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

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