How best to leverage your enterprise data to drive business-intelligent decisions?

Delivering complete analytics for informed and confident decision-making

The value of data analytics as a keystone of strategic business decision-making

Business success demands complete and live visibility of the health and dynamics of the business, not only to operate with efficiency, minimising cost and risks, but to anticipate and predict trend shifts that will unlock new revenue and competitive advantage.

In fact, PwC research shows that highly data-driven organisations are three times more likely to report significant improvements in decision-making. The research also shows that 62% of executives still rely more on experience and advice than on data in order to make business decisions.

The lack of trust in the corporate data is a common challenge across many organisations nowadays. Data is a rapid-growing asset and it is essential to properly manage it and utilise it wisely to succeed in the present Information Age.

The best run companies today count on robust, fast and intelligent data analytics powered by Artificial Intelligence and Machine Learning, keystones of successful, strategic business decision-making.

Business Intelligence in the Cloud

Through most of the well-known analytics platforms (Power BI, SAP Analytics Cloud, Tableau, etc.), business today counts on the opportunity to explore data across the organisation and deliver insights at the point of decision with intuitive self-service analytics, regardless of volume size.

The power and connectivity of the new cloud solutions provide, with minimum disruption, automated and powerful solutions to clean, structure and query the data efficiently, in order ultimately to gain faster and deeper insights while lowering hosting and processing costs.

Augmented analytics

Todays augmented analytics capabilities – powered by AI, machine learning, and natural language processing – are built and extended into new BI and planning workflows.

Conversational analytics

The in-built natural language processing and generation capabilities help users to ask questions in a conversational way and get the answers and information that they need instantly.

Automated machine learning

Machine Learning algorithms are used to automatically reveal relationships, hidden patterns, and outliers in the data – going from insight to action faster.

Intelligent predictive analytics

Predict potential outcomes and generate confident and reliable forecasts with the push of a button.

Enterprise Planning

Link and create financial and operational plans seamlessly to drive decisions with integrated plans.

Collaborative enterprise planning

Plan across lines of business to turn real-time insight into action, ensure strategic alignment and decide confidently.

Intelligent planning

Understand business today and tomorrow with predictive forecasting and machine-learning tools.

Integrated financial planning

Act in the moment and spend more time on strategy by combining transactions, analytics and planning with SAP and other ERPs.

Data analytics

SAP is committed to delivering with speed innovative applications in the cloud; In analytics -> via SAP Analytics Cloud (note lower innovation speed in S/4 On-premise)
S/4HANA does not provide complete FP&A capabilities without SAC. SAP Analytics Cloud is SAP’s primary strategic planning solution where the majority of SAP planning innovations are delivered.
S/4 embedded analytics focuses on process handling and embedded decision support inside ERP transactions, not outside them. Data Warehouse outside S/4 allows harmonisation of all enterprise data (ERP, non-SAP, governance, big data, corporate memory, etc.)

PwC differentiates by embedding D&A and AI across its organization and uses the business, experience and technology (BXT) approach, integrated solutions and assets to help clients operationalise their D&A and AI investments. It also combines competencies, IP and technologies across business domains, industries and ecosystem to drive innovation and scalable client value proposition.

Gartner Magic Quadrant Report, 10 February 2020

Our experience and expertise

PwC named a leader in 2020 Gartner Magic Quadrant for Data and Analytics Service Providers

PwC’s experience and expertise in data analytics to help customers find new sources of revenue, make faster and better decisions and capitalise on untapped business intelligence is widely recognised in the market and is also acknowledged by Gartner.

PwC has a holistic strategy to embed D&A and AI to drive business outcomes. The strategy includes five pillars: platforms; integrated solutions with embedded AI; go-to-market teams with domain and industry expertise; the BXT delivery approach; and operational excellence.