Search

Solutions and Innovations

Decision analysis
and big data

Multiplication of data sources, explosion of information to be processed or available, regulatory developments (Reach, Sapin 2, RGPD, etc.), increase in business-to-business exchanges... In an economy where data becomes a decisive resource, the purchasing directorates that place the "data" data at the heart of their strategy have a considerable advantage.

In order to make the most of this fundamental resource, purchasing departments face a dual challenge.

Collecting and quality

Census and recovery of data from different sources, then structuring (consolidation, codification, etc.), cleaning (duplication, correction of errors, etc.) and enrichment

Decision analysis

Analytic treatments to value data to translate it into actionable information, in the service of decision-making

"We were very pleased with the delivery of Acxias, which has real expertise in terms of IS and procurement, great rigour and efficiency in carrying out the activities."

@CHEF SI-Buys - Group Purchasing DirectorateENGIE

Diagnosis

In order to make effective use of the data, for the purpose of controlling spending, risk management and operational efficiency optimization, a prior diagnosis is required. Taking into account the different populations (managers and purchasing managers, buyers, management controllers, etc.), it is a question of carrying out several operations.

List potential issues

Identify the relevant data

Determine the sources

Assessing data quality

The action plan

Systematically collect data, whether it's existing data within the company or external data required in purchasing processes

Clean and improve data quality, identify the scope and meaning of each data

Make the most of the data by implementing decision-making solutions to answer upstream questions in the most reliable and effective way

Accompany purchasing teams to master their new solution, then implement a continuous optimization process

In addition to traditional tools, including ETL (extract, transform, load) software, Big Data technologies enable efficiently organize volumetric and unstructured data.

Decision analysis then consists of valuing them to identify areas for improvement and actions to be taken. Adding a predictive dimension to this analysis allows you not to act simply in reaction but in anticipation.

Under two approaches

Simulation

To test scenarios

Forecast

To determine future situations

Decision-making areas

Specialized in the field Shopping, procurement and accounting suppliers, Acxias has carried out multiple Projects decisions related to different processes or functions.

Purchasing performance assessment

Expenditure analysis

Supplier performance evaluation

Analysis of the market and supplier offers

Risk assessment

Analysis of Procure-to-pay transactions (operational efficiency, process speed, etc.)

How?

Audit

Census of company data
Identifying external data
Highlighting quality issues

Collection

Data recovery
Consolidation and removal of duplicates
Structuring (formatting, filing, etc.)

Quality

Fixing errors
Adding missing data
Enriching the bases

Construction of the system

Choosing decision-making tools
Powering the system
Prototype production (POC)

Analysis

Simple analysis
Predictive analysis
Prescriptive analysis

Refund

Reporting
Writing "data storytelling"
Suggestion of recommendations

Expertise decision-making tools

In addition to a structured approach guiding our client at every stage of his decision-making project, Acxias integrates a decision-making expertise centre with dedicated engineers and consultants.

SAP Ariba (data collection)

https://www.digital-achat.com/wp-content/uploads/2020/03/SAP-Ariba-collect-des-donnés.jpg

Acxias has built tools to export all data from the SAP Ariba platform in a matter of days to power a datawarehouse or a specific decision-making solution downstream.

SAP Ariba Reporting

Ariba's standard reporting solutions: (standard reports, analytics, compound reports, etc.) for more than 10 years. Acxias advises you to make full use of the analytical and decision-making dimension of SAP Ariba, which already has nearly 100 reports as standard, usually answering 80% of the questions.

SAP Analytics Cloud

https://www.digital-achat.com/wp-content/uploads/2020/03/SAP-analytic-cloud-640x359.png

SaaS solution combining all analytical features including planning, predictive analytics and Business Intelligence (BI).

Suite SAP BusinessObjects BI

SAP business object, analyse décisionnelle

A set of analytics and reporting tools for specific data treatments. An exploration tool allows, among other things, to exploit bases with a large volume, to conduct decision-making analyses and to present the results in synthetic form.