logo
When Accountants Become Analysts

When Accountants Become Analysts

Forbes05-05-2025
Bryce Welker is a Certified Public Accountant and owns a portfolio of 20+ test prep websites, including the CPA Exam Guy.
When I became an accountant, my world revolved around financial statements, tax deadlines and making sure every number lined up just right. I never thought that in the future, accountants would spend chunks of their week playing around in Power BI or Googling how to write a Python script. But here we are.
Over the last few years, the accountant's role has shifted dramatically. We've gone from simply recording what happened to helping businesses figure out what might happen next. That change requires a new toolkit—one that looks a lot more like what you'd expect from a data analyst than a traditional CPA.
This shift hasn't made headlines, but it's happening everywhere. Firm after firm, accountants are being asked to build dashboards, clean up datasets and help clients extract insights from their numbers, not just balance them.
Tools like Power BI and Tableau used to be considered extras—something only big firms might invest in. But that's changed. These tools are quickly becoming part of the standard toolkit for accountants at every level.
Some examples:
• Power BI Or Tableau: These tools let you create interactive dashboards that update automatically and tell a story with data.
• Excel Power Query: It's still Excel but turbocharged for cleaning and shaping messy data.
• Python: Even knowing how to automate a few tasks, like scraping data or generating reports, can save hours.
• SQL: If you're working with larger data sets or accessing databases directly, it's a valuable skill to have.
And it's not just about the software. It's about how we think.
In my experience, clients aren't just asking us to reconcile numbers anymore. They want us to help them make sense of the story behind the numbers—what's happening now, what's likely to happen next and how to get ahead of it. They're looking for timely, visual and actionable insight.
A colleague of mine worked with a client who was hesitant to scale their business. They had that gut feeling we all know—the one that says, 'Better play it safe.' But after running a few simple forecasting scenarios, the numbers told a different story.
The client actually had more room to grow than they thought. Seeing that data laid out clearly gave them the confidence to move forward. Within two years, their revenue had doubled.
That's not just accounting. That's strategy.
More and more, this is what businesses are asking for. Not just 'What happened?'—but 'What's next?' Accountants with data skills are becoming the bridge between raw numbers and wise decisions.
We're not just number crunchers anymore. We advise. We translate complex data into meaningful decisions. This doesn't mean the traditional accounting skills don't matter—they do. Accuracy and integrity are still at the core of what we do. But the most successful CPAs I know today are the ones who pair fundamentals with data fluency. They are the ones whose clients turn to them not just during tax season but for problem-solving all year long.
I never planned on becoming a 'data person.' But the more I leaned into it, the more I realized that this just might be the future of accounting. And it's not as complicated as it sounds. A few new tools. A curious mindset. A willingness to evolve. That's all it takes to turn a spreadsheet into a strategy—and an accountant into an analyst.
Forbes Business Development Council is an invitation-only community for sales and biz dev executives. Do I qualify?
Orange background

Try Our AI Features

Explore what Daily8 AI can do for you:

Comments

No comments yet...

Related Articles

The Week In AI: Cheap House Robots and Pricey Manhattan Projects
The Week In AI: Cheap House Robots and Pricey Manhattan Projects

Yahoo

time2 days ago

  • Yahoo

The Week In AI: Cheap House Robots and Pricey Manhattan Projects

Last Friday, my colleague Ethan Feller and I had another awesome live event surveying all the latest happenings in AI. We do so every Friday in an X Space where we each have 6 unique AI topics that we present in a rapid-fire 60-minute run-through. We started this gig in May when the innovations, controversy, and drama were happening so fast, we didn't see how it could continue at that pace. Eight weeks later, it only shows signs of more acceleration and amazement. So here's a quick summary of just 6 of the major reveals, deals, and feels we covered last Friday July 11... 1) $9,000 Humanoid Robots from K-Scale Labs in Palo Alto K-Scale Labs launched pre-orders for its open-source humanoid, priced at $9K. The K-Bot stands 4′7″, weighs 77lbs, and integrates with K-Scale's open-source stack, covering various models and hardware designs. One of the founding engineers, working out of their shared house in Palo Alto, posted this on X: Robotics in the U.S. is broken -- proprietary, expensive, and slow. We're going to change that. We're building, learning, and shipping mass-production grade humanoid robots with the open-source communities. We're launching America's first open-source end-to-end humanoid robot starting at $8,999. Open-source hardware, Rust OS, Python SDK, RL training libraries. The future of robotics is autonomous, open-source, affordable, and made in America. (end of X post by @JingxiangMo) Getting a Jump on Optimus and Figure Even though we talked about these renegades in an early episode of The Week In AI, I was newly invigorated and inspired by their passionate 3-minute video that chronicled their journey and mission -- as they just released 100 new models for sale and raised $1 million dollars very quickly. Essentially, the K-Scale team, led by a former developer at Tesla TSLA and OpenAI named Benjamin Bolte, wants to beat both Tesla Optimus and Figure AI robots to the market with an open-source platform. I am humbled and awed by their vision and tenacity when they could easily try a smoother path with more investment funding to scale up instead of going direct with "models in progress." But then again, isn't that what the big LLM model companies are doing? Benjamin Bolte thinks we should all be able to train our humanoid robots to do a specific task -- mop the floor, wipe the counters, vacuum, load the dishwasher, or fold the laundry -- and that homeowners can share those trainings across the open-source "robo-sphere" to help everyone have a better experience with their bot. And because of this potential, many innovators and investors think we are soon approaching a "ChatGPT Moment" for robotics where the acceleration and adoption takes off exponentially. Famed VC investor Vinhod Khosla said recently "By the 2030s, almost everyone will have a humanoid robot at home. Robots won't be programmed -- they'll learn tasks by themselves. Humanoid robots will become common because they are cheaper to produce at scale." Obviously, open-source training "on-premise" (your home) makes it all more realistic. While there are concerns about the "edge device" application safety of a humanoid in your home, we've got a few years to figure that part out, since companies like K-Scale prefer right now to just sell to developers and companies willing to do the work and take the risks. For more on the robotics revolution, be sure to go here to see all the links, videos, and commentary... The Week In AI: $9,000 Humanoid Robots, Zuck the Poacher, Larry Page Builds Skynet Here's a hit list of the other 5 big topics in our weekly run-down... 2) Zuck the Poacher: Buying, Bribing, Stealing Talent from Everywhere On June 30 Meta Platforms META introduced its new "Superintelligence Lab," led by Alexandr Wang from Scale AI and Nat Friedman. Recall that in late June, Mark Zuckerberg announced a deal to acquire 49% of Scale AI for $14.3 billion. It was seen quickly as the first major 'acqui-hire' in the AI race. The new division includes 11 research hires from top AI labs, including OpenAI, Anthropic, and Google. Last Friday morning, I also did an interview with Bloomberg about Apple AAPL and the narrative that they are "falling behind" in AI and need to catch-up by proving that Apple Intelligence is real and robust. I offered the view that Apple is not behind just because Siri isn't performing LLM duties. Tim Cook & Co. will take their time to get that right because they are a "product perfect" company first. And they have their eyes on the prize of being the ultimate healthcare assistant, not an answer bot. But where Cook could improve his strategy is on recruiting top talent, especially after losing his COO Jeff Williams to retirement and rumors of other infighting that hamper innovation. That's why I told Bloomberg he needs to steal a page from Zuck's playbook. And a few hours later, we learned of Alphabet's GOOGL magnificent "rearguard" action... Google Goes Windsurfing in the AI War for Talent 3) "The Great Separation" -- Who Wins, And Who Gets Left Behind, in the AI Age by Coatue Mgmt Coutue is a cross-asset investment firm specializing in technology with nearly $100 billion AUM. Half is in public Wall Street equities like NVIDIA NVDA and Taiwan Semiconductor TSM and the other half is in Silicon Valley startups from Abacus AI, run by frequent Week In AI expert source Bindu Reddy, to YAHAHA, a metaverse 3D creation platform. I run through 10 slides from a great presentation they just gave with the guide of Jason Lemkin. Their research is deep and so I am not quick to question their assumptions or conclusions about what is coming with the AI Economy Transformation -- especially since I already agreed with most of their ideas years ago. This part of the X Space is worth your time alone and comes in around the 25-minute mark. Plus, the comments section of the X Space has the link to Jason's run-through of his top ten slides. 4) JOBS: Never a Shortage of Automation Doomerism As always for The Week In AI, I collect a handful of the latest studies and expert opinions on the fate of knowledge worker jobs as AI gets better at human numerical and language tasks. Emad Mostaque of Stability AI says AI agents will outperform humans on most digital tasks by 2026. But AGI won't be a "godmind." "It'll feel like your smartest coworker on Zoom or WhatsApp. We don't need polymaths. Just competent workers getting the job done. I want cooks, not chefs." In addition to a few other views on the employment outlook, I also look at a post by Amanda Goodall @thejobchick where she breaks down how IBM just replaced 8,000 HR staff by automating 94% of their tasks -- including terminations! 5) Medical Superintelligence Microsoft introduced MAI-DxO (Diagnostic Orchestrator), what the company is calling a "step towards medical superintelligence." The system solved 85.5% of 304 cases vs. just 20% by experienced physicians. It also delivered greater cost savings than human doctors. In the X Space, I share a good 6-post thread with Microsoft graphics by "Chubby" @kimmonismus on X... Microsoft's LLM is not only designed for multiple-choice questions, but also for real medical diagnoses in realistic scenarios – and outperforms even top models such as o3. Another great science post last week came from @Dr_Singularity about a 'Self-driven Biological Discovery through Automated Hypothesis Generation and Experimental Validation.' Dr. Singularity said "An autonomous scientific engine has arrived" and I couldn't agree more or be more excited by this! He introduces the research this way: A new study unveils a fully automated framework that combines: Large Language Models – to reason, hypothesize, and plan. Relational Learning – to connect complex biological knowledge. Robotic Labs – to run experiments in the real world. All of it working in a closed loop, with zero human input. AI now asks the questions, runs the tests, and learns from the results. We're entering a world where machines can do science faster than humans ever could. Biology is just the beginning. Welcome to the age of autonomous discovery. (end of Dr. Singularity's intro) Gives me chills about what is possible now with the physical sciences! 6) Manhattan Projects for a High-Tech Industrial Renaissance One big theme I've been tracking lately are the vocal calls by experts for bigger scale industrial projects to support AI and robotics industries. Marc Andreessen and Eric Schmidt are two voices I really respect here. A few weeks ago I profiled the proposal of Jan Sramek of California Forever to build an "American Shenzhen" high-tech R&D city northeast of the Bay Area. Jan wrote in a post... "America cannot compete with China without building America's Shenzhen – a place to build drones, ships, robots, and everything else cutting edge. Where? On @CAForever's 100 square miles in Solano, 60 miles north of SF/Silicon Valley, where we invent that stuff." Then last week I shared a video clip from a great X AI follow @vitrupo quoting General Matter CEO Scott Nolan, who basically says... "AI demand could match the entire U.S. power grid by 2030. Without urgent expansion of nuclear reactors and fuel, we don't just risk brownouts and skyrocketing energy costs. We risk not getting AI at all." This is why I just bought Rolls-Royce RYCEY shares as they are getting more contracts to build small modular reactors (SMR) in the UK and Europe. So when my colleague Ethan Feller brought a paper to our X Space by Epoch AI titled How big could an 'AI Manhattan Project' get? I was very excited. A man who's wasting no time planning for such projects is Softbank's Masayoshi Son who announced in late June his idea for a $1 trillion "American Shenzhen" in Arizona in conjunction with TSMC. Ethan also covered the latest project of the other Google founder Larry Page, who has launched a startup called Dynatomics, focused on using AI to revolutionize product manufacturing. All this suddenly made me think last week..."AI isn't electricity -- it's gunpowder" in terms of its revolutionary impact on power and wealth. Be sure to check out The Week In AI X Space for all the links. I love making a curated menu of topics every week where you are guaranteed to find something delicious! Kevin Cook is a Senior Stock Strategist for Zacks Investment Research where he runs the TAZR Trader portfolio with several AI holdings mentioned here, including NVDA, TSM, AMD and others. Want the latest recommendations from Zacks Investment Research? Today, you can download 7 Best Stocks for the Next 30 Days. Click to get this free report Apple Inc. (AAPL) : Free Stock Analysis Report NVIDIA Corporation (NVDA) : Free Stock Analysis Report Taiwan Semiconductor Manufacturing Company Ltd. (TSM) : Free Stock Analysis Report Tesla, Inc. (TSLA) : Free Stock Analysis Report Rolls-Royce Holdings PLC (RYCEY) : Free Stock Analysis Report Alphabet Inc. (GOOGL) : Free Stock Analysis Report Meta Platforms, Inc. (META) : Free Stock Analysis Report This article originally published on Zacks Investment Research ( Zacks Investment Research

General Assembly Partners with CrewAI to Launch AI Agent-Building Workshop Series
General Assembly Partners with CrewAI to Launch AI Agent-Building Workshop Series

Business Wire

time4 days ago

  • Business Wire

General Assembly Partners with CrewAI to Launch AI Agent-Building Workshop Series

NEW YORK--(BUSINESS WIRE)--General Assembly, the leading talent and upskilling community, and CrewAI, a multi-agent AI platform, today announced they will partner on a new workshop series designed to teach both technical and nontechnical professionals how to build and deploy AI agents. The partnership addresses the growing demand for practical AI implementation skills with a free, one-hour introductory webinar and a comprehensive three-hour hands-on workshop serving professionals across skill levels, with tailored learning tracks. 'Every business wants to use AI agents, but many lack the practical skills to implement agentic solutions effectively,' said Daniele Grassi, CEO of General Assembly. 'By combining our proven practitioner-led instructional model with CrewAI's platform, we're providing professionals with real skills that go beyond theoretical understanding provided by most AI trainings.' The workshop series includes two components: Introduction to Agentic AI with CrewAI: A free, one-hour introductory webinar will show participants how AI agents solve real business problems–no coding required. This component is designed for professionals who want to understand how AI agents can transform workflows and will offer practical frameworks to assess organizational AI readiness. Build Your First AI Agent: This comprehensive workshop will take learners from AI curious to agent builders in just three hours. During the course, participants will design, build and deploy their first AI agent team using real business scenarios. Tracks will be available for both technical (Python-based) and nontechnical professionals, who will walk away with the confidence to bring AI agents to their organization. CrewAI's platform powers systems across 60% of the Fortune 500 in the United States and is used by developers in 150+ countries, making it the ideal foundation for learning how to build AI agents. 'We're excited to partner with General Assembly to bring hands-on agentic AI education to the next generation of builders,' said João Moura, CEO of CrewAI. 'At CrewAI, we believe multi-agent systems will redefine how work gets done, and this curriculum empowers learners to design, deploy and scale real-world CrewAI workflows from day one–simple to start, reliable in results and built to scale.' These workshops are part of General Assembly's AI Academy, a comprehensive training program to address the widening AI skills gap threatening enterprise transformation initiatives. About General Assembly General Assembly (GA) is the leading talent and upskilling community that helps individuals and businesses acquire the real skills required to succeed in an increasingly complex technological era. Founded in 2011 to make tech-centric jobs accessible to anyone and meet the demand of fast-growing tech companies, GA evolved into a center of excellence in training people from all backgrounds to upgrade their practical knowledge of tech skills now required in every company and in any role. With a global presence, hands-on instruction, and a passionate alumni community, GA gives learners 360-degree support as they take the next step in their career journey. As part of the Adecco Group and partner of premier talent solutions provider LHH, GA matches the right talent to business needs. All day, every day: GA puts real skills to work. About CrewAI CrewAI is the leading multi-agent enterprise platform, powering systems across 60% of the U.S. Fortune 500 and used by developers in 150+ countries. The platform enables organizations to deploy sophisticated, collaborative groups of AI agents to automate real-world business workflows. CrewAI offers the infrastructure that teams need to run autonomous systems in production with a complete list of features required by enterprises that include low-code tools, user management, governance and security. CrewAI integrates with all major LLMs, hyperscalers (AWS, Azure & Google Cloud), and 1,000+ enterprise applications.

Latest PL-300 Exam Dumps Pass Microsoft Data Analyst Exam
Latest PL-300 Exam Dumps Pass Microsoft Data Analyst Exam

Time Business News

time5 days ago

  • Time Business News

Latest PL-300 Exam Dumps Pass Microsoft Data Analyst Exam

Are you preparing for the Microsoft PL-300: Power BI Data Analyst Associate certification? If yes, then using the Latest PL-300 exam dumps can significantly boost your chances of passing on your first attempt. At Dumps4Expert, we provide real PL-300 questions and answers designed by certified experts to help you prepare smarter, faster, and more effectively. Whether you're a beginner or a working professional aiming to advance your career in data analytics, our resources are designed to meet your needs. The Microsoft PL-300 certification is an essential credential for anyone looking to prove their expertise in analyzing data with Microsoft Power BI. It validates your skills in transforming raw data into meaningful insights and helps organizations make data-driven decisions. Earning the PL-300 not only increases your professional credibility but also opens up new job opportunities in the competitive data analytics market. This is why using the best PL-300 exam preparation materials, like those offered by Dumps4Expert, is crucial for success. At Dumps4Expert, we understand how important it is to have accurate and up-to-date exam materials. Our PL-300 exam dumps PDF are carefully compiled from real exam questions and verified by Microsoft-certified professionals. Each question reflects the latest exam patterns and objectives, giving you a realistic idea of what to expect in the actual test. These dumps cover all the exam domains including: Preparing data Modeling data Visualizing data Analyzing data Deploying and maintaining assets With our latest PL-300 dumps, you can identify your strengths and work on your weak areas effectively. The format of our PL-300 practice dumps is designed for convenience and learning efficiency. The PDF format allows you to study anytime, anywhere—whether on your laptop, tablet, or smartphone. Our exam dumps are more than just memorization tools; they are crafted to help you understand each concept thoroughly. You'll gain hands-on familiarity with Power BI features, DAX functions, data modeling techniques, and more. Plus, our dumps come with detailed explanations to help you learn the 'why' behind each answer, so you truly master the subject matter—not just pass the exam. There are many sources online, but Dumps4Expert stands out because of our quality, accuracy, and affordability. Here's why thousands of professionals trust us: 100% Verified PL-300 Dumps : All questions are checked and verified by experts. : All questions are checked and verified by experts. Free Updates for 90 Days : Get updated content whenever Microsoft changes the exam. : Get updated content whenever Microsoft changes the exam. Money-Back Guarantee : If you don't pass on your first try, we offer a refund policy. : If you don't pass on your first try, we offer a refund policy. Secure Payment and Instant Download: Safe checkout and immediate access to files. Also, don't forget to check out our Microsoft Exam Dumps collection for other certifications, or explore our Data Analyst Associate certification dumps if you're preparing for multiple credentials. Thousands of candidates have achieved success with our PL-300 dumps PDF. Many users report scoring above 85% in their actual exam after using our materials for just two weeks. Testimonials highlight the clarity, reliability, and effectiveness of our dumps, especially for professionals juggling study time with full-time jobs. Our real-world practice questions simulate the actual exam environment, reducing test anxiety and boosting confidence. With Dumps4Expert, you don't just study harder—you study smarter. If you're serious about passing the PL-300: Microsoft Power BI Data Analyst Associate exam, don't rely on outdated or low-quality study materials. Dumps4Expert gives you access to the most trusted and latest PL-300 exam dumps PDF, designed to align with the official Microsoft curriculum. Start preparing today with reliable, accurate, and effective resources. Get instant access to your PL-300 PDF dumps, take control of your certification journey, and move one step closer to becoming a certified Microsoft Data Analyst. TIME BUSINESS NEWS

DOWNLOAD THE APP

Get Started Now: Download the App

Ready to dive into a world of global content with local flavor? Download Daily8 app today from your preferred app store and start exploring.
app-storeplay-store