Tag: noobeh

Posted on

High-Value Uses of Microsoft Fabric for Small and Growing Businesses

Small business owners around the country are finding increasing value in working with Noobeh to leverage the benefits of Microsoft Azure platform and Microsoft Fabric, with practical scenarios that deliver real benefits without enterprise-level complexity.

Eliminate Spreadsheet Chaos

As an example, Azure data platforms and Microsoft Fabric can replace “spreadsheet chaos” with a centralized analytics environment. This approach eliminates file version issues and totally eliminates the need for manual consolidation. Also, where Excel isn’t exactly a real-time reporting engine, this new approach could be.

For finance, sales, project management, and operational teams drowning in spreadsheets, Microsoft Fabric lets you store all your data in one place, have dashboards that refresh automatically, and virtually eliminate the wrangling of manual spreadsheets.

Automating data collection from apps already in use

Many businesses have adopted web-based applications and services for their businesses, which has created more data silos where valuable information is stored. A typical small business might use a variety of online tools like:

  • QuickBooks / Xero
  • Shopify / WooCommerce
  • HubSpot / Mailchimp
  • Square / Stripe
  • ServiceTitan / Jobber

In many cases, Noobeh can use the Microsoft platform to connect to these systems so you can select and pull data automatically and on schedule, replacing manual exports to get updated data. This approach allows you to build a live business “control panel” without having to pay to develop custom application integrations.

Imagine having a unified business dashboard that could provide your business with a single source of truth, showing sales performance, cash flow and invoice status, inventory levels, progress on projects or jobs, various important operational KPIs, or even marketing funnel metrics.

When Microsoft Fabric and Azure Data Infrastructure Work for Small Business

For Noobeh clients, getting started with Microsoft Fabric and Azure data infrastructure services doesn’t take a lot of engineering to get started.  If your business struggles with scattered, inconsistent, or manually managed data, Noobeh can deliver the solution with Microsoft Fabric and Azure platform services. There’s a solution for when you use multiple SaaS or SaaS and desktop applications, or even just multiple desktop applications, and you need combined reporting. There is a solution for leadership who wants a unified business dashboard, and there is a solution when there is interest in future AI but no clean data layer yet.

With Noobeh and Microsoft Fabric and Azure data infrastructure, you don’t need a dedicated data team. Fabric’s low-code tools, Power BI and Copilot make it all available, and Noobeh helps you get it going.

bunny feetMake Sense?

J

Posted on

Unlocking Insights in QuickBooks Enterprise Data

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.

bunny feetMake Sense?

J

Posted on

Data Is the Real Competitive Advantage

AI is powerful, but it’s not magic. AI can’t compensate for fragmented systems, poor processes, or unreliable data. When a business succeeds with AI, it isn’t necessarily because they have the most advanced models. More often, AI success is found by those with the strongest data foundations.

High-Quality Data is the Foundation for Successful AI in Business

Artificial intelligence is rapidly becoming a competitive differentiator in business. From forecasting demand and optimizing pricing to automating customer service and detecting fraud, AI promises efficiency, insight, and scale. Yet many AI initiatives fail to deliver meaningful results—not because the algorithms are weak, but because the underlying data is.

In practice, AI is only as good as the data it learns from. Without high-quality, well-organized, and reliable data, even the most advanced AI tools will produce inaccurate insights, reinforce bad decisions, or fail entirely. For businesses looking to use AI responsibly and effectively, data quality is not optional – it is foundational.

Garbage In, Garbage Out: The Reality of AI

AI systems don’t “think” or “reason” in the human sense. They identify patterns based on historical data. If that data is incomplete, inconsistent, outdated, or biased, the AI will replicate and amplify those problems.

Sales forecasts built on inconsistent historical revenue data will be unreliable, customer churn models trained on incomplete customer records will miss key risk signals, and AI copilots trained on poorly documented internal processes will give incorrect guidance to employees.

In short, AI can’t fix broken data. It can only scale its flaws.

AI Strategy Should Follow Data Readiness

Many organizations pursue AI due to competitive pressure or fear of falling behind. This “AI FOMO” often leads to rushed implementations that skip essential groundwork.

A better approach is to ask these four simple questions:

  1. Do we trust our core business data today?
  2. Can we explain where key numbers come from?
  3. Are our processes documented and consistently followed?
  4. Do we have a single, reliable version of the truth?

If the answer to any of these questions is “no,” the priority should be improving data quality—not deploying more AI tools.

High-Quality Data Enables Trust and Adoption

AI systems only create value if people trust and use them. When employees see AI outputs that conflict with known realities or change unpredictably, confidence erodes quickly.

On the other hand, when AI is built on clean, well-governed data, the insights it provides align with business intuition and recommendations are explainable and defensible. This increases adoption of the tool across teams, and allows AI to become a decision-support tool rather than a black box.

Trust starts with data.

High-quality data is the real enabler of AI—turning automation into insight, predictions into action, and experimentation into sustainable advantage. For organizations serious about using AI in business, the path forward is clear: fix the data first. That’s where the competitive advantage will come from.

bunny feetMake Sense?

J

Posted on

AI FOMO and Your Business

“AI FOMO” (Fear of Missing Out) has become a major force behind business adoption of artificial intelligence.

Rather than pursuing AI with a clear strategy, too many organizations are investing because of competitive pressure, media buzz, and fear of falling behind. This reactive approach often leads to rushed, expensive, and poorly executed initiatives that fail to create real value—and can even spark internal friction.

Surveys show that a large share of IT leaders and executives—sometimes more than 60%—acknowledge that FOMO significantly influences their AI adoption decisions. This fear is fueled by rapid technological change, assumptions that competitors are gaining an advantage, and limited understanding of what AI can and cannot actually do.

Implementing AI without thoughtful planning or alignment to business needs often results in wasted investments in tools that don’t address real problems. Projects may stall in the early stages or fail to produce any measurable benefit or return on the investment.

Among the biggest challenges with AI centers on data and trust.

When a business puts speed of development above quality and security, it can lead to data errors, AI “hallucinations” and just plain wrong answers that diminish trust in AI systems. Workers may already feel threatened or undervalued, which creates anxiety and slows tech adoption, so care must be taken to not prematurely introduce AI that may further erode trust in the technology.

I’ve always understood that technology isn’t just a tool, it can be a strategic advantage helping businesses gain in ways not previously available. The key is to move away from fear-based adoption and toward a deliberate, value-driven approach.

Start with identifying the real business problem. With AI, figure out what problems you need the technology to solve for you rather than asking what AI can do. Just because AI can do something doesn’t mean you want it to do it for you, or that it will deliver any real value to your process or operation.

Change for the sake of change makes no sense, so it is essential to understand if there is actually a problem that AI may be able to solve and that the benefits of the solution outweigh the cost to develop and the risk potentially introduced. Start small and have pilot projects in low-risk but high-impact areas of the business where the organization can learn and refine before scaling.

Among the most important aspects of AI in business is the data the AI works with. This is where many businesses fail in their initial attempts with AI development, due largely to the fact that data is siloed or segregated and completely unclassified or categorized.

For AI development to deliver effective business benefit, high-quality, organized data and solid data infrastructure are essential.

AI systems learn directly from the data they are given. If the data is incomplete, inaccurate, inconsistent, or poorly managed, the AI’s performance will reflect those flaws. AI models are only as good as their data because AI systems—especially machine learning and generative AI—identify patterns and make predictions based on training data.

Poor-quality data results in biased, unreliable, or incorrect outputs. High-quality data supports accurate, trustworthy, and consistent results. If an AI is trained on inaccurate or inconsistent information, it will learn (and repeat) those errors.

Shift from a fear of missing out to a fear of missing the advantages of AI.

The focus should be on maximizing AI’s potential to create a competitive advantage, taking strategic risks that are aligned with the business goals. Replace fear-driven decision-making with thoughtful, goal-oriented planning and turn AI into a meaningful source of long-term value and differentiation rather than an anxiety-inducing trend to chase.

Noobeh cloud services works on the Microsoft Azure platform, creating data platforms and delivering services that fuel and support AI development. Let us create the dynamic data infrastructure your business needs to develop the intelligence to propel you forward.

jm bunny feetMake Sense?

J

Posted on

Write it Once – The Value of Integration

It’s amazing how much time and energy continues to be spent on duplicate data entry and re-keying information generated by one system into another.  Human-based data entry is prone to errors, takes time, and carries with it the burdens of employee costs and resources.  It is a problem that businesses of all types have battled for years even though enabling solutions have been around for a while. 

Methods of integrating applications and data have existed for quite some time, and in recent years these methods have expanded to include a wide variety of platforms and more open standards-based approaches.  Even in the small business world, business owners using traditionally limited software products can enjoy sophisticated extensions and integration of their applications and business data.

To provide a simple example of the problem: when an individual writes a check, that check must be recorded for several purposes including the recording of the cost or expense as well as the reduction of funds in the bank account.  When a product is sold to a customer, inventory is relieved, sales are increased, accounts receivable or cash is increased, costs of goods sold are experienced, and customer activity is captured.  All of this information must be recorded, and the activity accounted for throughout the financial and operational systems and can represent a tremendous burden if not automated. This also means that data exists in a variety of places, increasing the challenges of information collecting and reporting.

 Cloud-based integration and infrastructure services such as Microsoft Fabric and Azure enable seamless collection, transformation, aggregation and storage of business data. Whether linking accounting with sales CRM or pushing financial and operational data to an Azure data warehouse for analytics, Noobeh helps provide the data engine and the infrastructure to put it all together.

A small business owner’s situation offers a direct illustration. He sells computer parts through an ecommerce website.  Orders from this website are emailed to his order operators, who then turn around and re-key the orders into their accounting system where the inventory is also tracked.  Because of the increasing number of sales orders and product purchase orders to enter on a regular basis, there were three operators working in the department responsible for making sure website orders make it into the accounting system. Orders were frequently missed or misplaced, entry errors caused problems in accounting and product delivery, customer satisfaction went down, and the cost of handling web orders was increasing.

By implementing a single software solution, the company was able to not just address the current problem, but was set up to seamlessly increase business without increasing headcount. The solution was a system which takes transaction data from the ecommerce system and imports it into the accounting/ERP system. This single step allowed the business to reduce and redirect personnel costs, improve accuracy and timeliness of data entry, and increase customer satisfaction as well as overall business performance.

In even a small company, one piece of information may be used in a variety of ways and in a variety of systems. This complexity is found in simple business models as well as larger and more complex enterprises, revealing the value of integration solutions and automation tools at every level of operation.

Mendelson Consulting and Noobeh cloud services recognize that every business needs the right information at the right time to operate effectively. Our expert teams help businesses implement the solutions which bring business data together, empowering workers to be more productive and giving stakeholders the decision-support tools they need.

jm bunny feetMake Sense?

J

Posted on

Cloud and Digital are Transforming Business

Businesses, whether small or large, must change how they operate. They need to find ways to leverage the technologies and influences shaping society. Transformation is essential for companies to face today’s rapidly changing environment and embrace the opportunities it provides. This means mapping out a strategy and prioritizing activities which will fundamentally shift the operation towards greater intelligence and agility.

Digital transformation is about changing how businesses operate at a foundational level. It involves transforming processes and capabilities. This is done to leverage digital technologies across all strata of the business. 

Change in business is an ongoing process and not a one-time activity.

Transformational change is enabled in large part by cloud technologies. Cloud computing solutions are in high demand. They allow businesses to scale easily and affordably. They also provide the mobility and remote access that workers require. 

More fundamentally, cloud computing services improve collaboration by users. They also enhance collaboration by applications. This improvement enables seamless integration of functionality and data from various sources.

Microsoft Azure platform provides infrastructure and services previously available only to larger businesses and enterprise IT departments. Noobeh, Mendelson’s cloud services team, uses Microsoft Azure to deliver SQL data warehouses for structured data. It provides data lakes for the storage of unstructured and different data types. The Azure Data Factory and Microsoft Fabric are used to transport, transform, and weave it all together.

Converged wired and wireless networks and smarter telephony solutions deliver location and usage data that were not previously available to most IT departments. Today’s imaging technology can easily reduce a picture to searchable and identifiable metadata. The introduction of IoT brings an even further integration of data from virtual and physical realms. This enhances potentials for intelligence. It also improves understanding and interaction.

Mendelson Consulting recognizes that true transformation is guided by the vision and objective but is supported through operational efforts.

The collection of data for inspection and analysis is the first requirement. Only through the proper establishment of processes and workflow is the required information developed.

Mendelson Consulting partners with businesses to define the scope and strategy for advancing into the digital future. They take fundamental steps to introduce greater agility in platforms and services. These platforms and services support an ever-changing business environment. They also ensure visibility, which drives greater business intelligence and operational insight.

jm bunny feetMake Sense?

J