#enterprisetech

Big Data Analytics Challenges Enterprises Must Prepare in 2026

Most enterprises today are drowning in data but still struggle to turn it into clear, trusted decisions.

Enterprise data analytics is now less about collecting more and more about fixing the gaps—between systems, governance, and leadership focus. Issues like tool overload, unclear ownership, and scaling complexity build quietly until they start slowing everything down.

When you purchase something as expensive as an ERP, you should be taking full advantage of its capabilities. But in many cases, businesses are missing out!

Stay ahead of the curve and join ERP implementation experts, Shawn Windle and Shelby Toney, for a breakdown on getting the most out of your existing ERP and taking advantage of new capabilities for your business.

Can the ERP industry really deliver the solutions they have promised now with new emerging technologies?

Jennifer Sherman, Unit4's CPO, believes this is possible if we think more deeply than simply layering agentic technologies on top of ERP processes.

"What if we built an ERP with a semantic layer that understands connections between data, allowing us to explain information and how processes relate to one another? In stringing those together, we can better empower users to start connecting their own workflows and seeing ERP as a team member."

An ERP is one of the most powerful weapons in your organization's arsenal, but only if you take advantage of its capabilities!

Whether you are unsure of how to develop an optimization roadmap, or simply don't have the system configured to suit your needs, you are losing value by failing to develop and maintain your ERP.

Join ERP implementation expert Shelby Toney to learn how to get the most out of your existing ERP and take advantage of its capabilities to boost growth.

Register now for the opportunity to earn 1.0 FREE CPE credits!

A business is only as good as its data - but how do you know which business intelligence tools can really add value and increase profitability?

Join Shawn Windle, enterprise software expert, to learn about a methodology for identifying and selecting the right BI and analytics tools for your organization. He will cover how to identify your analytics needs, the types of tools on the market, and more.

Without proper integration architecture, AI projects quickly become difficult to maintain. MCP introduces consistency in how systems, tools, and models communicate. SDH focuses on structured AI integration environments.

Many businesses hesitate with AI adoption because integration feels disruptive and risky. MCP creates a more flexible way to connect AI with current digital infrastructure. SDH develops MCP solutions that support smoother AI transitions.