We turn ideas into digital results
to improve the way, you do business
With our Connected Enterprise services, F.R.A. – Consultants helps increase the strategic value of operational excellence through a connected approach to enterprise architecture.
01
Connected Enterprise
Architecture
With a Connected Enterprise Architecture practice, the execution of business operations (the business model) can be aligned with the business strategy.
Connected Enterprise Architecture offers services to support directors, managers and architects in their efforts to shape and define business strategy, solve business problems and innovate.
Connected Enterprise Architecture provides the context and articulation of business and technology needs and the associated operational model.
This creates a shared understanding of the Business Capabilities and a business language with a clear description understood by all. Looking at the Business Capabilities only in isolation, without understanding how they come together to deliver value, is less likely to achieve the outcome sought.
02
Data Intelligence
& Data Governance
We are the sparring partner for Chief Data Officers to help them better understand their data flows, implement data governance, and manage data privacy and compliance. We also assist data architects in making technology choices to implement their enterprise’s Data Intelligence policies.
With Data intelligence & Data Governance, F.R.A. – Consultants offers the ability to leverage artificial intelligence and machine learning tools to analyze huge data sets and turn them into intelligent data insights, which can then be used to improve services and investments. The business capability to deploy data intelligence can help decision-makers better understand collected information with the aim of developing better business processes.
The five main components of data-driven intelligence are descriptive data, prescriptive data, diagnostic data, decisive data, and predictive data. These disciplines focus on understanding data, developing alternative knowledge, solving problems, and analyzing historical data to predict future trends.
Intelligent data sits at the heart of big data and business intelligence. It not only fortifies the data foundation but also refines and amplifies the vast data sets harnessed by AI. By cleaning and converting data into actionable insights, it drives business performance, empowers organizations to discern patterns, and facilitates informed decision-making. Moreover, it integrates cutting-edge analytic methods to enhance both prescriptive and predictive visual analytics.
It is important to ensure through collaboration that all process and data stakeholders share the same knowledge so that they can understand and trust their data to make impactful business decisions and drive business growth.
