Category: data analysis

Posted on

Fix the Data, Then Let AI Scale It

For SMB’s Using Solutions like QuickBooks Online, Service Titan or Jobber, High-Quality Data Is Critical for AI

Many small and mid-sized businesses now run on a combination of operational and financial tools. A typical stack might be QuickBooks Online (QBO) for accounting plus Service Titan or Jobber for field operations. Noobeh helps these businesses centralize their data, making it available for analysis and AI.

What we increasingly find is that various AI vendors promise AI-powered forecasting, automation and insights, but AI does not create clarity on its own. When data across these systems is inconsistent or poorly structured, AI simply automates confusion. To get real value from AI, SMBs must first ensure their data is accurate, aligned, and trustworthy.

The Reality of Disconnected SMB Systems

For these small businesses, each system serves a different purpose. QuickBooks tracks financial transactions, revenue, and expenses, where Service Titan or Jobber manages the jobs, customers, technicians and billing. There may be problems lurking in these various systems, and it is often revealed when the data is centralized and made ready for reporting and AI-enabled analytics.

These problems arise when the same business concepts—customers, jobs, revenue, costs—are represented differently in each system. Common examples of this include jobs marked as complete in Service Titan or Jobber but not fully invoiced in QBO, or customers duplicated or named differently across platforms, or any situation where manual spreadsheet adjustments are needed to make the reports work.

Imagine training your AI on this data. It isn’t going to resolve the data issues or repair them, it will repeat them at scale.

A Practical AI-Ready Data Path for SMBs

Before deploying AI features across QBO, Service Titan or Jobber, our consulting teams help our clients focus on making sure the data is ready by cleaning and standardizing QBO financial data and ensuring jobs, customers, and invoices align across systems. Our cloud services team leverages Azure platform services to create automation and eliminate manual spreadsheets and workarounds. Then we centralize the data in Microsoft Fabric, creating a single source of truth allowing reports to be validated prior to laying AI on top. This approach turns AI from a grand experiment into a dependable business tool.

Trust Is the Real Measure of AI Success

AI only delivers value when business owners, finance teams, and operators trust the outputs. That trust comes from seeing numbers that reconcile, reports that make sense, and predictions that align with reality. When this alignment occurs through high-quality data, AI forecasts become credible and insights are explainable. Decision-making improves consistently.

Fix the Data, Then Let AI Scale It

AI can help SMBs compete with much larger organizations—but only when it’s built on a strong data foundation. QuickBooks Online, Service Titan, Jobber, and Microsoft Fabric form a powerful stack, but their value depends on data quality and alignment.

For SMBs, the winning strategy is clear: fix the data first, then let AI scale what’s already working.

jm 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

    Unlock KPIs and Improve Reporting with QuickBooks

    It is surprising how many businesses still keep boxes of 3×5 ledger cards with customer and vendor information on them. More likely than the card box, the business may be storing its essential customer billing and vendor product information in the accounting system because that is the system they have.

    These growing businesses need a better system to capture more information that delivers greater detail for accounting and reporting purposes. Just as likely, the business has other information it should and possibly could be capturing but isn’t sure about what steps to take next.

    When details that inform a process are not part of an integrated system, it creates greater potential for lost or inaccurate data. The larger the volume, the more difficult and error-prone managing the information becomes.  

    Business needs more detailed information about… everything.

    Businesses may need to track time for payroll or jobs or both, job tracking may be a requirement, inventory tracking or more detailed inventory management may all be areas for greater attention. Mendelson Consulting can help develop these capabilities by making sure the business is using the right software, and then enabling the functionality needed to support the workflow and capture more and better data.

    No data means no KPIs.

    More and better data means more information to fuel KPI reporting. Key performance indicators can reflect operational performance in a variety of areas and may help identify where improvements are required.

    Using data from the accounting and operational systems, businesses of all sizes measure their effectiveness using KPIs to evaluate the successes – or failures – of their processes and activities.

    Mendelson Consulting’s team of QuickBooks Enterprise Experts and ERP consultants provide guidance, implementation and training, and report development to get beyond bookkeeping to proper processes that result in good accounting data. Mendelson’s cloud services team – Noobeh – sets it all up on Microsoft Azure, where data connectors, data warehouses and Microsoft Fabric weave it all together.

    Whether just starting out or an enterprise or franchise expanding at a national or global level, we help businesses do more with their systems and software. We understand each stage of business and how to help our clients reach their next best level.

    jm bunny feetMake sense?

    J

    Posted on

    Mo Bigger Data

    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.

    jm bunny feetMake sense?

    J

    Posted on

    Maximize QuickBooks Performance with Proper Data Maintenance

    Millions of businesses around the globe use QuickBooks software for their accounting. With an estimated 84% of the small business accounting market making the buying decision to go with it, QuickBooks has enough product momentum and functionality to support small businesses through midmarket customers.

    This is a broad base of customers for any accounting product, and the continued popularity of QuickBooks Enterprise is a testament not just to the application’s usefulness, but to the large gap that exists in the space where QuickBooks Enterprise desktop leaves off and the well-known enterprise ERP systems start. 

    Initially, a business will implement their accounting system to keep track of customers, vendors, items, and cash. More detailed processes are then introduced as the business requirements grow, such as tracking more specific information on the costs of certain products, or drilling into customer purchases or item sales activity to see more details. This additional data provides a much more informed basis for business decision-making but also has impacts on systems and software as the volume of data to be managed grows.

    Data growth can happen in many ways. Growth can occur in the number of products or services offered, growth in the number of transactions processed regularly, growth in the dollar value of transactions, or growth in the number of employees who need access to the system. Each impacts the ability of the system to continue to support the business requirements, but not necessarily in a way that isn’t manageable.

    Given enough time, a certain “density of data” will eventually be reached, causing the system to lose efficiency in manipulating the file. The business process requirements may not have changed, just the size or condition of the file and data. The file opens slower, operations slow down and processes take longer, the system crashes frequently or has errors, and the usefulness of the product is severely diminished.

    Keeping the QuickBooks data maintained and in good condition will improve performance and increase longevity of the application.

    Too often, businesses assume they have outgrown their QuickBooks software because it is slower or has problems when they begin using additional features. Frustration sometimes even turns to looking at changing the accounting software entirely. Yet experience has shown that many of these situations are solved with some data file maintenance and repair, and sometimes a little re-training or setup work.

    Regular file maintenance and a little housekeeping can keep a QuickBooks file in good working condition for a long time.  Regular backups with a complete verification and other routines will clean up the file and help the software manage the file more efficiently. But there are limits to how much data a single QB company file can hold, so it is wise to consider starting a new file every few years, just to keep the file manageable. This in no way means abandoning any data, as previous files can be retained and available to open and view at any time. How many years of data you can store in a QB Enterprise company file depends on a number of variables, and can range from a few to many.

    While QuickBooks is very easy to use compared to most accounting products that service this small/medium enterprise market, this is both a benefit and a bit of a problem. Many users aren’t really trained in accounting, they are trained in how to operate QuickBooks. Moreover, the knowledge of how to make something work in QuickBooks doesn’t always translate to either proper use or to proper accounting. Even if it is simple to accomplish something in QuickBooks, it is always wise to get a little confirmation of the setup and training on proper use.

    For a QuickBooks Enterprise desktop customer, the next step up in software is a big one no matter what, and it would come with drastic change, require data conversion (or abandonment), and incur high costs in licensing, implementation and training services. If there is a good business purpose to make such a change, then it makes sense. But bearing the significant costs of change may not make sense if the problems are centered on poor housekeeping or improper usage.

    Mendelson Consulting’s team of QuickBooks Enterprise experts and ERP consultants can help your company get your data file and QuickBooks operations in the condition they need to be. With data file analysis tools and numerous methods for dealing with QuickBooks data and operations issues, Mendelson provides the services businesses need to continue success with QuickBooks. And, if we find that you have outgrown what a QuickBooks-based solution can do for your business, we’ll have that conversation, too.

    jm bunny feetMake sense?

    J

    Posted on

    Software and the Business Lifecycle

    Every year, roughly 4.5 million US small businesses are started. The fuel which drives the American economy, small businesses account for more than 99% of all businesses in the US. And job creation happens in small business, which means growth also happens here. Growth happens at every stage of a business if the business is moving forward. From just starting out to achieving large enterprise status, the lifecycle of a business carries with it a multitude of learning moments.

    As businesses implement solutions to manage accounting and operational needs, there is often less consideration for the agility of the solution to meet changing and expanding business needs than there is for affordability and the immediacy of the implementation. Small business owners frequently adopt solutions because they fit the needs now, not understanding what may happen when the business outgrows the solution. Sometimes a product meets the functionality requirements quite nicely yet can’t handle the increasing volume. These are among the issues facing growing businesses and forcing stakeholders to make more buying decisions regarding the software supporting the operation.

    Each stage of a business where functional or process requirements change drives to another software buying decision. This buying decision is most often met with angst, as considerations include not only cost, but data conversion vs re-loading, new process or system design and setup, user training, proofing the system (running parallel?) and a host of other issues, not the least of which is the business benefit to be derived.

    If information is power, too many businesses are losing that power when they migrate from one software product to another.

    Businesses often lose valuable historical information by leaving transactional and other detail data behind when they change from one business software system to another.  This should be an area of focus and key discussion point when any change to systems is considered.  After all, the insight and business intelligence gathered over the years was likely instrumental in helping the small business grow to become a successful big business and will continue to be important for years to come.

    Maximizing a return on investment is crucial with any business expenditure, whether it is in people, processes or systems.

    The selection of software to support the operation plays a most important role in finding that value return, as the software is what empowers the people, guides the processes and drives the systems’ foundation. Knowing the crucial positioning of the software selection in supporting business growth and recognizing that future changes may risk loss of valuable business intelligence, the importance of the initial selection becomes that much greater.

    Mendelson Consulting will help you review your business and processes, building an understanding of what functionality needs to be supported and how the business intends to operate. For businesses looking to take the next step, we help identify where automation can improve efficiency and productivity. With that understanding, we help business owners and stakeholders navigate through the overwhelming landscape of solutions and approaches to find the right one for your business.

    At every step and stage of business growth, Mendelson Consulting looks ahead to what’s next, helping our clients plan for the future.

    While we don’t have a crystal ball, our experience coupled with industry and product knowledge allows us to make recommendations which minimize loss of valuable business intelligence while maximizing the ROI of the software which it informs.

    jm bunny feetMake Sense?

    J