Private Equity: Operational Systems Create the Value Financial Models Only Predict

Executives signing acquisition documents during a private equity deal meeting

Why connected workflows and reliable data are essential to scalable growth

Financial models can project revenue growth, margin expansion, cash generation, and even a successful exit. But a spreadsheet cannot produce those outcomes. Value is created inside the business, through operational systems that make work repeatable and data integration that gives leaders a reliable view of performance.

From Financial Plan to Operations Reality

An integration plan for operations should address a practical question: What will the company be able to do consistently better after the integration that it cannot do today? The benefits are typically found with consistent approaches to pricing, structure and pipeline reporting for sales, streamlined and preferential purchasing capability, guardrails for and improvements in service delivery, creation of working capital, and analytical reporting with an AI capacity.

Those capabilities depend on systems. Pricing needs govern discount rules and margin visibility; sales needs a defined process and trustworthy pipeline data; and cash conversion requires billing, inventory, purchasing, and collections to work as one coordinated workflow.

Integration Turns Activity into Insight

Many companies have the necessary applications but still lack visibility of the relevant data. Customer, transaction, inventory, project, and financial data often remain in silos, use inconsistent definitions, and arrive too late to guide meaningful decision-making. Teams will try to compensate – using spreadsheets, manual reconciliations, and competing versions of the truth.

Data integration creates a shared view of how activity becomes revenue, profit margin, and cash. Leadership can see whether price increases are making a difference, which opportunities convert profitably, where purchasing savings are gained or lost, and why earnings aren’t getting to the bank account. This is not about simple data movement; it’s about having timely, trusted information to support business decisions as they are made.

Standardize Before You Automate

New software cannot repair an undefined process or inconsistent data. To standardize something, first establish ownership of a process or area, make sure everyone is using the same definitions, understand where decision rights exist, and identify the most meaningful measures first. From there you can move to stabilize critical workflows, standardize the master data, connect the systems supporting high-value decisions, and automate.

The key is to connect investments to operating outcomes, such as faster quoting, better sales forecasting, reduced inventory, fewer billing errors, and more efficient administration.

Build for Acquisitions and Scale

Acquisitions introduce more and different applications, customer structures, products and product codes, reporting practices and more. A repeatable integration capability defines what must be standardized, what can remain local or localized, how the data maps across systems, and when reporting comes together. This approach reduces operational disruption and accelerates time to value, capturing the synergy more quickly.

The Real Source of Durable Value

Long-lasting value does not come from having more technology. Extended value return comes from operational systems which employees can execute, integrated data that business leaders can trust, and a management mentality that turns information into action. When pricing, sales, procurement, delivery, and cash management use connected processes and consistent data, growth becomes more predictable and margins more defensible.

Turn Fragmented Operations into Measurable Results

Ready to connect your systems, improve data visibility, and build more scalable operations? Noobeh is ready to help!

Let’s start by identifying your highest-impact workflow and defining the business outcome, and then together we’ll create a practical integration roadmap. The sooner your applications, data and processes work together, the sooner your strategy can produce measurable results.

bunny feetMake Sense?

J

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

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

Analysis, forecasts and modeling: What’s the point?

Analysis, forecasts and modeling: What’s the point?

financeIn today’s business world, risk, uncertainty and volatility are just par for the course – everyday realities of simply being in business.  Nothing is certain, they say, except death and taxes.  Yet there is a fine art to driving profitable growth in a business, and adapting to existing and emerging risk takes a great deal of experience, information and agility.  While planning and process development may occur at many levels within the organization, it is the FP&A (financial planning and analysis) capability which helps top performing businesses be top performers.

Financial planning and analysis are activities central to enterprise performance management (EPM) and must necessarily extend beyond finance.  Integrating various functional domains in the business (financial, operational and strategic), FP&A should bring data together from the various facets of the business and use the information to help structure and guide the organization toward meeting short-term and long-term goals.  Among the most critical of the duties of FP&A is calculating the financial impact, the monetary effects, of potential business decisions.  Everything in business means money, so there is always an impact to a decision.  With the right information supporting the decision, it is far more likely to have a positive impact and a level of sustainability.

While many CFOs may recognize the importance of performance measurement, planning and forecasting, a great many also believe the process isn’t very effective. The cause is frequently the divide between the various domains in the business and the information systems supporting them.  Operational data are distilled into summary financial information and fed to finance systems, losing much of the underlying intelligence that might be gained from analysis of the details.  Strategic development and planning may overlook certain volatile elements in the market, or may base successful outcomes on an expectation that conditions within the business will not change.  Finding ways to integrate the data from the respective domains into a comprehensive model is essential to developing a better and more robust forecasting and scenario-playing capability.  With the right information, analytics may be applied to all facets of management decision-making, anticipating and shaping business outcomes far more effectively than could be done without the insight.

Small business owners may believe that things like “predictive modeling” and “enterprise performance management” aren’t things they need to worry about, but the small business could use this information just as beneficially as a larger enterprise – perhaps even more as the insight could be the key to small business survival and growth.

Using analytics, the owner is able to adjust and re-align strategy in real-time to keep on the right path and goals clearly in sight.  Analytics can also help a business better understand what really drives revenue, working capital and profits.  Analytics can even help managers align compensation and strategy with business objectives, preventing compensation issues from outpacing business benefit.

There is a cost to growing a business, and some strategies might be more sustainable than others.  Time will tell, but it is great if the business owner has some business intelligence that might indicate what’s going to happen before it actually does.

Make Sense?

J

 

Small Businesses and Performance Data – Analytics are more important than ever

Creating and keeping a competitive edge is critical to building a successful business.  Developing a plan, monitoring the plan to make sure the business remains on target, and setting goals for growth and profitability are foundations of business success.  But great strategy and detailed planning cannot ensure success because the economy and business environments are unpredictable; no amount of planning is a guarantee that bad things won’t happen and the business won’t experience challenges.  On the other hand, regularly monitoring small business performance data can reveal trends and indications that things are not going as expected, and provide a basis for making the decisions necessary to get the business back on track and regain the competitive edge.

Business owners must be prepared to make adjustments as conditions change, acting on decisions made based on business performance data.  While business analytics are more important than ever, with businesses facing volatility in financial markets and increasingly globalized competition, finding a way to approach the matter is often the biggest barrier.  The growing difficulty – the increasingly expanding problem facing business owners and their advisors – can be distilled down to three particularly noticeable trends.

An Aberdeen Group report from Nov 2011 titled “The Analytical SMB” identifies these trends as More Data, More Users and Less Time.

More Data

  1. The volume of data flowing into organizations is already high and is increasing.
    1. The data is complex
    2. The data lacks similarity (data is disparate)

The volume of information flowing in to businesses is already high, and is increasing steadily.  With all the data collection applications and tools available, and as the business seeks to gain more information and intelligence from more sources, the volume of information gathered by businesses has increased at astounding rates.  Technology has adapted to this need, allowing businesses to gather than store vast amounts of data.  To be of value, however, the data must be analyzed to find the answers to questions posed.  What technology is only now beginning to address is the complex and disparate nature of the collected data.  Coming from varying sources and in equally varying formats, data must be “normalized” and related for it to make much sense.

More Users

  1. More business decision makers in more job roles and functions are getting involved
    1. More people approaching the problem with their own “brand” of analysis

In a very small business, decisions are generally made by the owner.  This is most often due to the fact that the owner is the person who not only knows what’s going on in the business, but is generally the one doing a lot of the work.  As businesses grow and bring in personnel to manage various functions, these managers become decision-makers.  Decisions are made in businesses at all levels, and as management layers are compressed, those “closer to the action” are being handed more responsibility for the decisions impacting their areas.   Without a comprehensive and company-wide framework for data analysis and reporting, these individuals and workgroups find ways to capture and analyze the data they feel is pertinent to their requirement and within their own realm.

Less Time

  1. Timeframe for making decisions is shrinking, and is shrinking at an “alarming” rate
    1. The “velocity” (rapidity of motion) of business is increasing

It may be that, in some businesses and markets, certain decisions don’t have to be made with any great speed.  Businesses or markets of this type are tough to find these days because the Internet, information technology and connected systems have all but eliminated the effects of time and distance. Just about everything in business today moves at a rapid pace, and that means that business decisions are often demanded on-the-spot, providing little time for detailed consideration and working through the problem.   Without the tools and data providing meaningful real-time visibility into business performance, decision-makers may be able to act fast but not wisely, and are most frequently guided by their “gut feel” as to what the right move is.

Driving Small Business Analytics

Business decision makers are now recognizing the need to know more about the business and how it is operating and competing in order to effectively address the choices and decisions faced each day.   The cause for this recognition may be due to variable elements, but the conclusion reached was the same: good business decisions require business analytics to support them.

Not surprising was the report finding – that the majority of small business owners felt pressured to adopt a business analytics solution primarily due to the fact that “critical business decisions rely too much on “gut feel”.  Surprise! Other drivers listed were lack of visibility into operational metrics, the growing number of people in the business who want analytical capability, the business’s inability to identify and act upon business opportunities, and having less time to make decisions.

Steps to Get There

As with any business project, there are “degrees of success”, and the ultimate success of a business initiative requires that all parties be on board with it.  Businesses who recognize a need to improve their analytical capability, but who do not then empower their systems, processes and people, will not achieve the same result as those who do.

Focusing on the business data, it is important to address both the volume and disparity by creating formal data management practices and policies, and implementing systems and processes which assist with the intelligent capture and storage of business information.  Simply retaining the data is not useful; it must be presented and applied in a meaningful manner for it to become useful as decision-supporting information.  The value of the information increases dramatically when it becomes truly useful to the business.  Additionally, by empowering a broader framework for data collection and analysis, businesses extend the “intelligence” to others in the organization, supporting individual and workgroup efforts to make better decisions for their respective areas of responsibility.  Of course, if the information is not provided in a timely manner, its value is reduced if not eliminated (hindsight may be 20/20, but that doesn’t help you see where you going to step next).  Any approach to building business intelligence should leverage connectivity and integration to provide a timely delivery of complete information how and when it is needed.

What’s the Proven Benefit?

source: article
source: article

The obvious benefit of business analysis is that business owners are provided with data to help them understand more about the business operational and financial performance.  The real and proven benefit is that the information provides a basis for gaining insight into trends and conditions which impact performance, and which support making the necessary decisions which facilitate improvement in various business areas.

The highest level of proven benefit, according to the Aberdeen Group report, was achieved by those businesses who embraced the requirement to know more about the organization and operation, and who implemented a focused effort at building business intelligence.

Fast Facts: Best-in-Class SMBs Achieved 24% year over year increase in new customer accounts sold compared to 12% for the industry average, and 11% for the laggards.

These organizations which achieved the greatest improvement operated from real data rather than being guided by gut and emotion, enabled the entire organization to participate in the development of organizational and business intelligence, positioned themselves to identify and act on new business and market opportunities, and ensured that those who must make decisions have the information and insightful data to support making the right ones.

Make Sense?

J

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Accounting Professionals Should Do This: Be Proactive and Regularly Communicate with Clients

Accounting Professionals Should Do This: Be Proactive and Regularly Communicate with Clients

I’m not sure where I heard it, I think it was a sky diver on TV, who said about the sport “you’re dead until you do something about it”.  At the same time that I realized that I never wanted to sky dive, I also realized that this fairly desperate philosophy at some level applied to a lot of business situations. Weirdly enough, one of them was how this relates to public accountants and bookkeepers working with small business clients.

One of the things I’ve heard a lot throughout the years is that bookkeeping and doing other work for small business clients is tough, because they never bring you the information you need when you need it.  With a philosophy of “help me help you”, accounting professionals are trying to find ways to make it easier for the client to deliver the work to them.  The missing element, however, is a closer working relationship with the client, coupled with PROACTIVE and REGULAR (please note the big letters) reminders that getting the work to the professional is the only way to get it processed in time .

How many firms really communicate with clients only during tax season?  Is the client organizer your main method of reminding them that you’ve got a relationship?  It’s not even funny how many business owners couldn’t name the accountant who did their tax return last year, and who don’t seem to care to know.  This is definitely not the way to build and retain client relationships, yet it is the approach many professionals take.  And then they wonder why the client base isn’t growing, and why they are having a hard time “communicating their value” and they want to know how to get more of that profitable “higher level” work.

You’re dead until you do something about it.

Put into the context of the reactive accountant, it starts to make sense.  Accounting professionals must be proactive – be doing something to build customer loyalty and retention, be actively and regularly communicating with clients so it’s not a mad rush during tax season, and be implementing tools and solutions to help them offer more meaningful services to their clients.  This is how to make the firm grow and thrive.  So, go do something about it.

Make Sense?

J

Being Proactive, Not Reactive – Accountants Need to Increase the Speed of Service Delivery from Intuit Accountants News Central

Read more about Building Smarter Businesses: Staying Relevant in a Cloud Accounting World

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