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Unify data and accelerate growth with ERP data modernization on Microsoft Azure
Is data driving your strategy?
For many organizations, the idea of moving enterprise resource management (ERP) systems to the cloud can be daunting. The shift can be costly and complex. Still, business leaders see the value of modernizing ERP systems and data: better decision-making, enhanced productivity and fast-paced innovation.
Start by freeing your data from disparate systems so you can be more agile and move decisively. ERP data modernization on Microsoft Azure empowers companies to let data drive their strategy by unifying data and using analytics to power faster, more effective decisions.
Unlock insights with integrated ERP data on Azure
Process data in real-time using artificial intelligence (AI) and machine learning (ML) to power prescriptive and predictive analytics, enhance decision-making, and improve the customer experience.
Achieve speed and flexibility
Our Azure-based solution supports integrating multiple enterprise data systems, including AWS, Google Cloud Platform, Oracle, Microsoft Dynamics, Salesforce and SAP. This interoperability — along with automated data extraction and mapping — speeds up the process so you can act on critical information faster.
Democratize your data
With data accessible throughout your organization, cross-functional teams can easily consume and use the data to work better, faster and smarter. With low-code tools, like Microsoft Power BI, teams can explore the data in real-time and create interactive reports without being trained programmers.
Create a hyper-personalized experience
Customizing products and services for your customers can drive growth and loyalty. Having customer data easily available across your organization allows for tailored experiences based on consumer preferences and past interactions.
Deepen trust in data
Bottom line: you own your data. Microsoft is a leader in data management, security and governance. With ERP data modernization, confidently know that your data has been extracted and mapped correctly. Data is also regulated through data governance — along with quality validation and standardization — so you know you’re using trustworthy information to drive decisions.
“With PwC’s help, we gave our people the capability to do their jobs better. From Azure’s analytics, to the supply chain, to billing and stakeholder management, we’ve built a new reputation for our business by putting data at the core; something that would have taken us years to do on our own.”
Transform your business data across industries
Data modernization boosts customer loyalty and delivers results faster. See how PwC and Microsoft impact business outcomes across industries.
Smarter use of meter data
A large utility company in the US needed to derive more value from the constant stream of data coming in from meters and other sources. ERP data modernization helped unify and visualize data in real time, reducing revenue loss and improving operations reliability through new AI model recommendations.
Meeting consumer demand across diverse markets
Operating in 20-plus countries in three regions made it a challenge for a leading personal care company to customize product packaging and pricing. By modernizing their ERP systems and data and integrating sales numbers, they can now standardize relevant metrics and automatically collect key metrics to optimize pricing and packaging and enhance sales.
Optimizing R&D to increase productivity, lower costs
Astellas Pharma is committed to speeding drug development and maintaining quality. To help meet this goal, the company used ERP data modernization to streamline aggregation of clinical trial results from a large network of research organizations. Now, they can automate and consolidate data from the disparate source systems into a single repository, view real-time dashboards to create custom reports in a day instead of months.
Enhancing patient care while curbing costs
A leading healthcare company sought to differentiate itself in the market and spur growth. PwC helped identify and prioritize how best to use AI and ML to advance clinical data analytics to improve patient care, reduce costs and use the insights gained to fine-tune ML models. Now, they can socialize results with business teams via custom reports and data visualizations. By developing AI/ML models and identifying use cases for planned development — they were able to preserve millions of top-line revenue.
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