Data & Analytics

Business leaders need to feel confident they are making the right decisions. That means knowing that their data, algorithms and analytics they use to make those decisions can be trusted. It also means understanding and managing the emerging risks and opportunities that complex data and analytics create.

Done right, analytics has the power to increase revenue, reduce costs and minimise risk throughout the business. We understand the needs of your whole business – not just the technical requirements – and the role data and analytics can play in optimizing and transforming your business.

We bring together our deep industry and functional knowledge with leading edge analytics expertise to harness the power of data.

Trust Your Decisions, Have Confidence in Your Data and Analytics

At KPMG, we provide data, analytics, and automation solutions that transform business and operating models and help organizations implement their data-driven strategies.

We combine our data and analytics capabilities with our technology and deep expertise to accelerate innovation in data-driven solutions and deliver results on a global scale.

Data is gaining value like gold day by day. Data, by its nature, comes in different forms, can be shaped for different purposes, and data can be processed and used repeatedly. It turns out that despite large investments, many companies are struggling to tap into this new mine and create value by processing it. There are many reasons for this, including complex and peripheral architectures, lack of access controls and data policies, and lack of an organizational data language.

Despite these challenges, pioneering organizations have begun to reimagine their relationship with data to extract value from it.

The Journey of Creating Value with Data

Leading organizations, despite these challenges, have begun to redesign their relationship with data in order to unlock its full value. The common strategies these organizations are expected to adopt over the coming years can be summarized as follows:

Discovery: Defining a “Data Value Proposition” grounded in business requirements and data regulations
Assessment: Embedding data-related responsibilities into operating models and ways of working
Process: Initiating the journey toward a common enterprise data language
Outcome: Managing the transition to a data-driven operating model

We place data, analytics, and intelligent automation at the core of everything we do to enhance, accelerate, and automate business decision-making that drives growth and profitability. Our focus is on unlocking and increasing the value of data, enabling data-driven business outcomes, and supporting organizations in achieving successful, insight-led performance. To design tailored solutions that enable our clients’ data-driven transformation and to deliver end-to-end services, we provide the following capabilities in detail below.

Governance:

Governance refers to the management of the appropriateness, availability, integrity, and security of an organization’s data and information assets. It ensures that these assets are used, controlled, and maintained across the enterprise in line with agreed policies and procedures, while also contributing value to corporate strategy and objectives.

The primary goal of governance is to manage data and information assets in structured silos and ensure they are governed in a harmonized way across all systems where they are produced and consumed, through collaboration among key stakeholders. In this area, we provide the following services:

Data Governance:

Reporting Governance
Advanced Analytics Governance

Data:

In a computing context, data refers to distinct pieces of digital information. It may exist in structured formats (e.g., formatted databases), semi-structured formats, or unstructured formats (e.g., social media data), and can be consumed in various forms such as numbers, text, images, and audio. Today’s challenges in identifying, capturing, and ensuring data quality bring issues related to volume, variety, and velocity.

Data-driven technologies are only as strong as the data that supports them. In today’s era of artificial intelligence (AI), becoming “AI-ready” requires organizations to transform their data into a meaningful and valuable asset. At KPMG, we aim to unlock the value of data and create competitive advantage for our clients.

KPMG Türkiye has strong capabilities in big data, complex data sources, and data models. Our core services include:

Data Architecture
Data Management, Data Warehousing and Data Lakes
Master Data Management
Data Quality
Data Engineering

Intelligent Automation:

Intelligent Automation goes beyond simple automation and robotic processes supported by data. It encompasses the enablement of business decision-making, enhancement of insights, and digitalization of operations. In the coming years, these technologies will evolve to analyze large volumes of data from multiple sources, evaluate outcomes, and simulate human reasoning using advanced algorithms and ontologies, enabling decision automation based on evidence and probability.

Through KPMG’s intelligent automation capabilities, we aim to help clients unlock the value of AI and accelerate automation strategies that elevate knowledge and practical experience to unprecedented levels. Our services include:

Decision Modelling
Reasoning
Cognitive Automation
Virtual Agents

Ethics:

With the rise of big data, artificial intelligence, and cloud solutions, the use of information technologies and data has also introduced important ethical considerations. Organizations must define ethical frameworks and implement mechanisms to monitor compliance in order to prevent and mitigate such risks. At KPMG, our key services include:

Data Ethics
Digital Ethics
Data Minimization

Artificial Intelligence (AI):

Artificial intelligence is a collection of advanced algorithms and technologies that enable machines to perceive, discover, understand, reason, act, and learn. It includes a wide range of tools such as machine learning and natural language processing. AI ecosystems enhance, accelerate, and automate decision-making that drives growth and profitability.

At KPMG, our key AI services include:

Deep Learning
Pattern Recognition
Machine Learning
Speech and Image Recognition
Natural Language Processing

Analytics:

Analytics refers to quantitative techniques and processes used to improve efficiency and generate business value. It is applied across multiple data sources to identify, extract, interpret, and visualize meaningful patterns for advanced insights. It ranges from basic descriptive reporting to predictive and prescriptive algorithms leveraging the full potential of AI.

Our portfolio focuses on data science and computational techniques tailored to our clients’ specific business needs. KPMG Türkiye’s key services include: