power BI – Cooper Mann Consulting

Businesses of all sizes are under pressure to turn their data into actionable intelligence.

As organizations adopt modern analytics platforms like Microsoft Power BI and Microsoft Fabric, the ability to unify, govern, and analyze data across systems is no longer optional—it’s foundational.

High-quality, connected data enables leaders to move beyond intuition and toward AI-assisted, insight-driven decision-making across the organization.

While enterprise companies have long relied on sophisticated ETL platforms, small and mid-sized businesses are often left behind. Many still depend on manual exports, spreadsheets, and point-to-point integrations that are brittle, time-consuming, and fundamentally incompatible with AI and advanced analytics. These approaches create data silos, limit scalability, and make it difficult to trust the results.

Mendelson Consulting and the Noobeh Cloud Services team help SMBs modernize their data foundations using Microsoft Fabric and Azure.

By deploying and supporting core business systems—such as QuickBooks Enterprise Desktop, Acctivate Inventory, Sage ERP, MISys Manufacturing, and others—within the Microsoft cloud ecosystem, we position application data for seamless ingestion into Fabric’s OneLake, enabling analytics, reporting, and AI workloads to work from a single, governed source of truth.

Modern data platforms like Fabric bring together data integration, engineering, warehousing, real-time analytics, and BI into a unified experience. This matters because growing businesses don’t just have more data; they have more types of data. Financial systems, inventory and manufacturing platforms, operational tools, and external data sources all need to be analyzed together to deliver meaningful insights and support AI models.

Even traditionally desktop-bound systems such as QuickBooks Enterprise can be extracted, structured, and integrated into a Fabric-backed data warehouse or lakehouse. Once centralized, this data can be enriched with operational and external data, exposed through Power BI, and used to power AI-driven insights, forecasting, and anomaly detection.

A successful analytics and AI strategy starts with the right data architecture.

Before businesses can leverage copilots, predictive models, or intelligent automation, they must first collect, organize, and govern their data at scale. Mendelson Consulting and Noobeh provide the expertise to build that foundation, helping businesses move from disconnected reporting to a future-ready, AI-enabled analytics platform.

Make Sense?

Losing valuable business data is a terrible thing. It is worse when it’s done on purpose. Every business faces changes in accounting or operational systems over the lifetime of the company and these changes more frequently than not include losing data of some type. And that means losing business intelligence.

The frustrations of changing business systems are compounded the further into the business life cycle the change comes. Much of the historic intelligence of the business is derived from the earlier days of operation. This is data which reflects the stages and activities of the business over time. When a business reaches a point where data volume or list sizes force a systems change, much of that early historic data is ultimately abandoned. There is so much data to load into a new system that the task often proves too daunting for the company, so valuable historic detail information is lost and summary information is loaded into the new system.

As a business matures, and for the business to mature in a healthy manner, specific and detailed information must be captured and analyzed. Software addressing a broad view of the business, offering only generalized functionality and basic process support, will not provide a growing business with the operational support and resultant business intelligence needed at this level.

For example, a manufacturing business needs to fully understand and manage the manufacturing processes and materials supply chain to ensure profitability and consistent product quality. A retailer needs to know which products sell in which markets to ensure product stock and availability to key customers. And all this information is time-critical if the business is to make necessary adjustments in time to benefit from them.

In the end, it is the demonstration of well-defined processes, deep insight into the business operational metrics and financial performance, and the ability to effectively and accurately report on this information that creates a basis for provable business value.

Mendelson Consulting understands how important it is to not just collect the right data to support various processes, but to use that data to better understand operational and financial performance. As operations grow, so does the need to collect data from a variety of possible sources, from phone systems to time clocks and more. Even getting data out of the accounting system can be a challenge, but there is tremendous value in having transparency of business data.

From data warehouses to data lakes, Power BI and data visualization, we help businesses access their information and develop reporting that not only informs but helps deliver greater insight which leads to improvements in performance and profitability.

When information is power, we help owners and stakeholders gain mo power by being mo better informed.

Make sense?