{{vm.title}}
25{{vm.includesText}}
{{item}}
{{vm.selectText}}
{{ vm.welcomeLabel.trim() }},
{{ vm.userName }}
{{ vm.text }}
{{vm.newUser1}} {{vm.newUser2}} {{vm.newUser3}} {{vm.newUser4}}
{{ vm.unknownUser }}
{{ vm.title }}
{{ vm.title }}
{{ vm.title }}
- {{ vm.siteSelectorList.flyout.cell1.heading }} {{ site.countryLocale }} {{ vm.siteSelectorList.flyout.cell1.global.countryLocale }}
{{ vm.closeTabLabel }}
- {{ vm.flyout.cell2.title }} {{ vm.flyout.cell2.newTabAllow }} {{ vm.flyout.cell2.title }}
- {{ vm.flyout.cell3.title }} {{ vm.flyout.cell3.newTabAllow }} {{ vm.flyout.cell3.title }}
- {{ vm.flyout.cell1.viewAll.label }} {{ vm.flyout.cell1.viewAll.newTabAllow }} {{ vm.flyout.cell1.viewAll.label }}
Have a business challenge?
In today’s fast changing business environment it’s all about speed and scale, and business leaders are turning to the latest technology to provide solutions to their most complex challenges.
That’s why KPMG member firms have created a suite of proprietary data-driven solutions to help KPMG professionals deliver on clients’ diverse needs.
To find out which solution may best suit your business goals, please reach out to one of our data-driven technology leaders.
KPMG Advanced Data Management is a framework that helps clients to derive value out of structured and unstructured data through strategy, governance, security, operations, document and content management, data quality, integration, business intelligence and advanced analytics. KPMG teams work shoulder-to-shoulder with clients to develop a data and analytics roadmap and provide our integrated service offerings.
When dealing with the impact of digital transformation within an organization, one of the biggest challenges of business process analysis is understanding how processes are actually executed. KPMG Process Mining uses data from underlying information systems to reconstruct process flows and scope data-driven optimization potential. KPMG Process Mining has a broad service offering, covering transformation programs like ERP cloud migrations, predictive process mining, shared service center optimization, business process excellence, compliance monitoring, robotic process automation (RPA) and many more.
As we enter an age of algorithms, governance is imperative to building trust in outcomes and achieving the full potential of artificial intelligence. KPMG Artificial Intelligence In Control (AI In Control) addresses the integrity of your algorithms so you can transparently and effectively govern your AI insights.
KPMG Ignite is a portfolio of artificial intelligence capabilities. This includes integrated open-source tools and frameworks along with technologies developed by KPMG professionals through research and experimentation. At its core, KPMG Ignite ingests various types of data components from different sources and applies AI-based automation patterns to create intelligent workflows to solve business problems. The automation patterns each cover an AI capability, from sentiment analysis, text classification to image to text and many more.
KPMG Signals Repository continuously harvests a broad variety of signals from public and private sources to help organizations get the edge on their decision-making. Structured and unstructured data is transformed into complex expressions, creating tens of thousands of signals when used by machine learning and other AI systems, so clients can significantly improve prediction accuracy. By creating a ‘big data fabric’ of exogenous and endogenous data, organizations can find the right data and signals to enable their AI and machine learning technologies to achieve unprecedented accuracy in predictions and business execution outcomes.
Your organization has better access to data than ever before but finding the right information at the right time is like looking for a needle in a haystack. KPMG Sofy Suite is a subscription-based model that offers advanced, configurable and ready-to-use data analytics solutions. With real-time notifications and continuous controls monitoring, you can make better business choices, manage risk and improve overall performance.
