How do you evaluate corporate performance? With Var Group's expertise, analysis, Corporate Performance Management, (BI) Business Intelligence and Data Visualisation provide concrete answers in budgeting, planning, closing and sustainability reporting processes.

The approach we adopt is based on:

Data Literacy: we support companies in capitalising on the value of data, overcoming barriers to literacy and proposing a programme of true 'democratisation'. 

Data Quality: we enable companies to validate, enrich, complete and improve the data they already hold, resolving ‘conflicts’ and integrating missing information, maximising accuracy and minimising risks. A management of data quality in terms of completeness, reliability, timing, etc.

Reliability: we propose a governance model validated in international environments but adapted to different needs, so as to preserve the “fire” that fuels Data Driven business choices.    

To support business challenges, we invest in innovative technologies and the development of an Analytics and Business Intelligence Framework - a data management pattern capable of involving all business components that are part of our projects. 

Thanks to this, it is possible to extract value from internal and external business data and provide decision-making support tools for the different business functions.

We have also developed a methodology that enables a robust and secure approach to Integration issues, providing a design and implementation standard that is a key asset for our customers. By identifying objectives together, knowing the processes, the data and their management, we make tools, systems and platforms communicate in an agile manner. 

Var Group Data Science's Analytics area brings important benefits with applications dedicated to Analytics, Forecasting, Planning and Closing, each of which is aimed at a specific area of business management.  

ANALYTICS

To interpret  different scenarios, turn data into insight and choose the necessary corrective actions, quantifying the operational and economic impacts: a different sourcing strategy, a sales spike, increased costs.

FORECASTING

To be able to identify market changes, new trends and phenomena impacting the supply chain, useful to define more accurate budget plans and forecasts, exploiting the insights gained.

PLANNING

To define a medium- and long-term strategic plan by formulating objectives on the basis of which to make performance appraisals and annual budget plans.

CLOSING

To assess company performance from a management and consolidated point of view through analysis and reclassification of accounting and operating data, attribution and allocation of costs and revenues.
We can activate these tools in separate steps, adapting them to the specific needs of your organisation.

Another component of our Analytics offering relates to the ESG (Environmental, Social, Governance) sphere: our tools enable companies to manage their sustainability management report, the collection of relevant KPIs, and sustainable investments. In addition, they allow this ESG information to be integrated into corporate performance and decision-making, thus enabling more effective strategic planning of sustainability-related targets. For instance, when the latter becomes part of the brand culture, a point of differentiation, a core value, and has a great impact on customer perception, Corporate Performance Management becomes an even more important tool with respect to ESG issues.  

• By means of profitability analyses for different areas, it was possible to create a solution for sales budgeting and forecasting, with a 10% increase in stock turnover and improved stock management thanks to the ABC, zero selling and out-of-stock analysis model;
• 60% reduction in closing times for periodic accounting management through automatic processes and simplified procedures;
• improved planning and simulation analysis;
• 30% reduction in risk associated with security problems thanks to approval system (workflow);
• improved management-platform solution with 20% reduction in periodic maintenance;
• improved cost and purchase-process efficiency through automatic management of bills of materials and complex cycles, in the context of a significant mix of raw materials and finished products;
• creation of a self-service Analytics environment where users can build their own analyses, confident in the consistency of the result and free in how they are represented and shared.