Turn raw data into better performance
In a data-rich industry, leveraging the information you already have on customers, operations and finances is critical to outpacing your competition.
By harnessing real-time data, leaders are empowered to make faster, more informed decisions about how to enhance operational efficiency. A data-driven approach makes it easier to optimize inventory levels, minimize scrap and streamline supply chain operations so that you can better control costs and quality. However, as manufacturing technology grows more complex, so does understanding where and how to apply data solutions to get the most value.
Wipfli offers manufacturing data and analytics services built on our deep history of industry experience to help you harness the full potential of your data.
Why Wipfli?
Wipfli’s data and analytics support starts with manufacturing — not technology. With extensive experience serving manufacturers, we know the industry’s systems and data challenges, including ERP-related data collection and integration.
We offer industry-specific data models, KPIs and governance frameworks to accelerate your journey from data to actionable insights. And our professionals embed themselves in your teams to help ensure manufacturing analytics solutions are adopted, scalable and sustainable.
How we help you
Gaining true insights from data starts with having access to it.
Wipfli helps manufacturers implement scalable solutions to consolidate data across systems, including:
- Integration platforms as a service (iPaaS): iPaaS connects different software applications and data sources so that you can leverage real-time data sharing and seamless, automatic data flow.
- Data warehouses: Build a centralized repository that can store high volumes of data from multiple sources, all optimized for analysis and reporting.
Our data management services help you unify data across your operations — from products and suppliers to customers — to enhance visibility, streamline decision-making and accelerate time to value.
We also offer data governance support that can equip your organization with:
- Master data management.
- Metadata management so that data is clean and trustworthy.
- Established data ownership, lineage and quality standards to help ensure trusted insights.
Managing manufacturing data amid complex systems and processes can be challenging. Wipfli provides flexible access to experienced talent to help meet your data needs without the overhead of full-time hires.
Our on-demand support delivers timely and knowledgeable service, from ad hoc assistance to ongoing management of your existing data or dashboard environment.
Our skilled professionals include:
- Dashboard specialists
- Dedicated data engineers
- AI engineers
- Application development teams
- Governance specialists
Wipfli’s data for business optimization services can help you build a more robust data foundation so that you can unlock your data’s full potential and drive innovation. We also help you address specific subject areas, such as finance, to help ensure truth, completeness and marketplace accessibility.
Our comprehensive services can help you prepare and organize data so that you can better adopt solutions such as:
- Data quality: We can help you ensure that you’re leveraging accurate and reliable data, so your AI outputs are valuable and trustworthy.
- Data governance: We work with your team to set up the appropriate guardrails and controls to help mitigate privacy concerns, reduce bias and meet compliance regulations.
- Infrastructure readiness: Exploring existing infrastructure and technology systems to help ensure they are capable of supporting generative AI initiatives. We build the infrastructure for you.
We can also support a wide range of projects, including:
- AI-powered solutions: machine learning and intelligent processes.
- Reporting and dashboards: accurate and timely insights.
- Analytics: advanced data models for strategic decisions.
- Data marketplace: opportunities for monetization and collaboration.
Our team
Kate E. Brown
Kate Brown is a Business Intelligence and Analytics Manager in Wipfli’s Business Solutions Group, she is focused on designing and building analytics platforms that improve organizational performance and drive actionable analytics for our diverse clientele.
Mike Devereux, CPA, CMP
Mike Devereux has identified millions of dollars in tax incentives for manufacturing clients, led hundreds of research and development (R&D) tax credit study engagements and demonstrated leadership and exceptional judgment in the tax structuring of various acquisitions. He speaks nationally to various professional and industry trade organizations and associations about opportunities to reduce federal and state tax liabilities and has written dozens of articles for trade publications.
Jason J. Smith
With more than 17 years of strategic technology experience, Jason helps organizations identify challenges, execute processes, and optimize their technology investments. Clients see him as a trusted business partner who can provide an invaluable perspective on their technology, financial, and operational needs.
Nina Kortas
Nina Kortas is a manager overseeing outsourced data and analytics services, helping to ensure clients receive efficient, high-impact solutions tailored to their needs. With over five years of experience supporting nonprofit and manufacturing organizations, she brings a deep understanding of how to translate data into meaningful outcomes.
Laurie Harbour
Laurie Harbour is a partner with more than 35 years of manufacturing and consulting experience. Prior to joining Wipfli, she was the co-owner of Harbour Results, Inc., and has spent her career helping clients develop strategies, improve operations, reduce risk and optimize business performance. Clients benefit from Laurie’s ability to work with leadership teams to assess the current state of their business and provide strategic and operation recommendations for improvement.
Implement the right systems for success
We helped Jones Sign select an ERP that helped them unify data and eliminate manual processes across seven facilities.
