Predictive analytics - predicting business success

What is Predictive Analytics? What predictive analytics products does s-peers offer? What can the Smart Predict function of the SAC do? With which software does predictive analytics work? Which predictive analytics functions does SAP offer in which products? These and other questions are answered here.

 From Planning to Customer Analytics to AI/ML 

Predictive Analytics belongs to the subarea business analytics and deals with the prediction of future events., such as sales and demand forecasts.

Sales and Demand Planning Excellence:
Through the analysis of historical data it is possible to events and and their probability can be predicted. This the company - e.g. the turnover or the demand - can be - plan with greater foresight and promptly react promptly.

Generate competitive advantage:
Through forecasts and predictions with Predictive analytics can generate competitive generated can be generated.

Preventing bottlenecks and inefficiencies:
Based on the forecast through Predictive analytics, insights into the optimisation of existing processes are to be achieved in order to prevent inefficiencies and bottlenecks.
A wide range of application examples:
From the insurance industry to Predictive Maintenance of machines to to to the HR forecasting of employee failure probabilities.

What is predictive analytics?

Forecasting and planning are elementary aspects for sustainable business success. Companies are often faced with the challenge of, to make these processes more efficient and economical.
NexaAnalytics specifically addresses this situation with an AI-based approach that offers companies an optimal and efficiently automated forecasting solution: Predictive Analytics.
Artificial intelligence improves the results of planning and the planning processes themselves. This results in faster and more meaningful outcomes.
Predictive analytics provides better technical support for existing processes and relieves the responsible controllers and planners of their workload.
At the same time, the quality - accuracy and informative value - of the planning is increased by identifying cause-effect relationships (the drivers) and integrating them into the planning models.

How long does the implementation process take and what are the individual steps?

The implementation process depends on various factors and usually takes four-to-eight weeks. It consists of the following steps:

STEP 1

Ornamental setting

STEP 2

Requirements

STEP 3

Analysis of current situation

STEP 4

Design

STEP 5

Implementation

STEP 6

Implementation

In which system landscape will the solution be implemented?

Python - R - Data management and analysis tool (such as the SAP Analytics Cloud)
More information The NexaAnalytics solution is independent of the customer system in every respect and can be offered both on-premise and as a cloud solution. As a rule, we use an R environment that can be adapted or connected to the customer's architecture. Forecasts can be delivered via csv file or can also be fully automatically integrated into database solutions..

TOP 4: SAP Predictive Analytics Benefits that convince!

Precision
Precise forecasts in comparison with manualr activity
Fewer errors GReduced susceptibility to error due to objective forecasts
Time saving Time and cost savings due to the automated process.
Automation with AI An AI-controlled forecasting system supports the gut feeling and can support underpin empirical values with analyses and figures.

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You can reach us anytime via Akash.Singh@NexaAnalytics.co.uk

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+44 77170 34353
Akash.Singh@NexaAnalytics.co.uk

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