Data, AI and emerging technologies

Artificial Intelligence (AI) has brought to our computers many features long believed to be exclusive to humans: processing natural language or visual information, recognizing patterns and images, as well as human-like reasoning and lightning-fast decision-making. Applications for utilizing AI are everywhere.

We help companies identify business-serving applications from the limitless possibilities of AI. We develop reliable AI-based solutions that enable better and more efficient decision-making. We use AI to improve, accelerate, reduce risk, automate, and expand data-driven decision-making while keeping humans in control of the solutions being built.

Reliable AI-based solutions

Our services related to AI utilization include, for example:

• Ideation workshops to identify AI applications
• Modeling services for machine learning models and other AI models and algorithms
• AI and MLOps services for the development and maintenance of machine learning systems and processes
• Process and design services for AI and human collaboration
• AI strategy development services
• Change management services to integrate AI into the company's daily operations

Many companies increasingly utilize automation, algorithms, and artificial intelligence to create more efficient processes. As "machines" take over a significant portion of the work, it is crucial to establish a control model to manage AI-related risks. For this purpose, we have developed the comprehensive KPMG AI In Control concept, one of the first frameworks for AI governance.

We assist our clients in understanding the logic of already built AI-based solutions and ensure their proper functionality. We also support our clients in building safe AI-related practices, guidelines, and working methods.

Our solutions

• AI governance, processes, and oversight: Practices, processes, and actions for key stakeholders to build a regulatory-compliant AI program
• Ethical AI and data: Defining principles, actions, and metrics to measure the realization of human ethical principles
• Automation assurance: Evaluating AI governance models, rules, practices, and procedures to guide the development and deployment of hyperautomation applications and robots
• Algorithm assurance: Ensuring fairness, explainability, reliability, flexibility, and accountability throughout the algorithm's lifecycle
• Data privacy and security: Practices, processes, procedures, and actions to ensure the proper and permissible use of consumer data and sensitive information
• AI cybersecurity: Utilizing methods to counter major cybersecurity threats
• Risk library: Creating and validating a comprehensive repository of potential AI-related risks and ethical considerations
• AI regulatory compliance: Ensuring regulatory compliance of AI projects and providing guidance and support related to regulatory developments

The quantity of data available to organisations is extensive, but it is important to focus on ensuring its quality. To effectively leverage data for business growth and development, it is essential that the data is easily accessible, reliable in quality, and directly relevant to the organisation's objectives and needs.

Developing a comprehensive data strategy and investing in data management and utilisation are essential steps for organisations aiming to drive business growth and development. A well-structured data strategy provides a clear framework that outlines how data is created, managed, analysed, and utilised to align with and achieve organisational objectives.

This strategic approach incorporates foundational guidelines for establishing effective data management processes, building the required data architecture and infrastructure, strengthening capabilities necessary for data creation, utilisation, and analysis, and fostering a culture rooted in data-driven decision-making.

By prioritising a robust data strategy, organisations can unlock the full potential of their data assets to achieve competitive advantage and sustainable growth.

Our strong and experienced data management team assists your organization in various stages of data management projects, from initial assessments to defining, implementing, and developing the governance model.

KPMG's Advanced Data Management (ADM) framework

• Helps organizations of all sizes build trust in data
• Provides the best possible added value from data
• Based on internationally recognized frameworks, combined with best practices from hundreds of projects worldwide
• Streamlines and enhances the planning and implementation of data management
• Suitable for all companies and organizations, regardless of their current level of data management, industry, or technology choices

Analytics helps organizations find answers to business questions, identify connections and cause-effect relationships, predict outcomes, and enhance decision-making. At the same time, the massive growth in data volume and the complexity of information systems make data-driven management challenging. Mere technical capabilities are not enough to produce sensible analyses and reports that support business decision-making.

In our analytics and reporting services, we always combine business understanding with analytical activities. We propose and create only those solutions that serve business needs. We identify the options that we see having credible potential to increase the company's business value and efficiency, support growth strategies, or create cost savings. Whether it's credit risk calculation in the financial sector, ESG regulatory reporting, inventory optimization models, or a new margin calculation model created through a new pricing strategy, you can trust that our top experts will find the best solution for you.


Helping achieve competitive advantage with data and analytics

In developing analytics and reporting services, we utilize modern analysis and reporting technologies from our extensive partner network. Our partners include Microsoft, Google, IBM, Alteryx, SAS, Celonis, and many others. We also collaborate with Workiva, specializing in financial and ESG reporting. Our goal is always to develop analytics and reporting processes that produce reliable and valuable information for business.

In addition to analytical solution services, our offerings also include:

• Analytics assurance services
• Services related to developing analytics capabilities

Business-related data, its analysis, and reporting have been at the core of our services from the beginning; it can be said that data, analytics, and reporting are part of KPMG's DNA.

Process mining is a branch of data analytics focused on analyzing and improving business processes. It leverages transactional data generated by information systems to create a digital twin of the process based on this data.

Process mining serves as an excellent foundation for business process development and various audits, as it provides a fact-based insight into the company's processes and helps identify the main areas for improvement and the root causes behind current process challenges.

With process mining, companies can focus their process improvement efforts on the most financially and time-significant areas, utilizing methods such as hyperautomation, data management, and change management. Process mining is system- and process-agnostic, meaning it can benefit the analysis and efficiency improvement of many different types of processes. Common applications include process optimization and automation projects, internal audits, financial audits, ERP implementations, and outsourcing projects.

Complete transparency in business processes

We offer several solutions related to process mining that help organizations maximize the benefits of their data to enhance their processes. We tailor our solutions to develop business in various areas, from logistics and production to accounting and finance, as well as IT services and human resources.

In our solutions, we can focus on analyzing questions such as:

• Does the process work as described and designed?
• How standardized is the process? Are there differences in operations between different locations?
• How efficient is the process? How long does each phase take, and where are the bottlenecks?
• How automated is the process? Are there many manual steps that could be automated?
• Are the defined controls followed in the process? Is the control point executed, and are the tasks performed in the correct order?

We support our clients at all stages of their automation programs.

For organisations taking their first steps in automation, we offer proof-of-concept implementations and workshops to assess automation potential and pilot robotic solutions. For organisations already embracing hyperautomation, we provide assistance in scaling robotic environments safely and efficiently. We also help organisations evaluate and monitor the benefits of automation using data-driven insights—this allows automation initiatives to focus on functions that deliver the highest value.

Our services combine technology expertise with industry knowledge. This enables us to act quickly and offer a deep understanding of how financial and other support processes should be automated effectively.

If your goal is to get started quickly or scale up automation production, we also provide automation-as-a-service through our service centre.

We offer a wide range of services related to hyperautomation and robotic process automation, including:

• Development of automation strategies and operating models
• Proof-of-concept implementations, pilot projects, execution, and broader continuous automation services
• Chatbot production
• Assessment and auditing of automation environments and implementations
• Intelligent process mapping and optimisation for operational and process improvements

Applications, or digital services, can facilitate task execution, solve identified problems, enhance operations, and improve competitiveness. Application development is essentially problem-solving that serves companies regardless of size and industry. Most companies develop or purchase applications not only to support their business but also to meet internal needs.

As digitalization progresses in business, a company's competitive advantage can arise from a reliable and customer-centric ecosystem of applications. A well-designed digital user experience also strengthens the company's brand. In both outsourced and internal application development, the keys to success lie in clear objectives, efficient development processes, and quality control, ensuring smooth further development and a secure lifecycle for the application. Our clients rely on our expertise both in the adoption of new technologies and in modernizing applications that have reached the end of their lifecycle.

Our solutions

We can help your company succeed in application development projects in the following ways:

• Reviewing and quality assurance of in-house and third-party application development processes
• Enhancing application development processes and implementing best practices
• Modernizing applications or assessing technical debt
• Current state assessment and vulnerability scanning of applications
• Designing and implementing customer-centric user experiences
• Developing new applications