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Data strategy needs data governance

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Ultimately, it all comes down to data. This is according to Chris Millet, a Baker Tilly director specializing in client engagement and managed services during a talk Thursday at the Finance and Accounting Technology Expo in New York City. While there are powerful technology solutions available to professionals today, especially AI-based ones, none will perform their best without strong data sources paired with a robust governance framework. This not only avoids risk but drives the organization’s strategic goals going forward. 

“We should be looking at our data as a strategic asset. It really allows us to transform our data into a competitive advantage for our organization, and really bring it into alignment with our overall business goals and strategy, and make sure that we’re looking at that data quality and governance, and really unlock that potential in a robust way,” he said. 

He emphasized the importance of centralizing disparate data sources as policy, as he believes it is only when we are able to look at all the data together that we are able to understand the full picture of what is happening in an organization. When information is stored across separate silos that don’t connect or communicate, it becomes difficult to trust the system, as there is no single source of truth. 

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“[If] none of my systems talk to each other, I can’t really understand what’s happening in this system versus what I am trying to accomplish overall and understanding my data. What is that single source of truth that I can really trust?” he said. 

Of course, even if one does manage to centralize one’s data sources, it does no good if the data itself is suspect. This is where governance comes in, and he said there are numerous solutions available to help. Regardless of which ones someone chooses, he said they should be able to automatically point out where data hygiene is less than perfect. 

“[It] can say, hey, you’ve got this many transactions that are missing this data point. You’ve got this many records that don’t have this piece of information that’s critical to your analysis. And so your tool should highlight those things and be able to direct you to where you need to fix your data, because it doesn’t matter what comes out on your dashboards or reports or AI [if it is] garbage in, garbage out,” he said. 

While there are many ways to approach data governance, the very first step should be defining data ownership, according to Millet. Ask who owns the data from what sources. Does the warehouse team own the operations data? Does the finance team own the finance data? Does the sales team own the customer relationship data? Who actually owns the governance around the data that’s going to be consumed down the line? This also includes defining which users have access to which data sets, not just the inputs and outputs. This gives a true sense of both where the data is coming from and who is consuming it. 

He also talked about how, regardless of what solutions are deployed, they should also highlight compliance gaps. 

“And I’m not just talking about external compliance needs. You have third parties out there that may have certain requirements of you around your data, but I’m talking just as much or more about your internal compliance to go along with your internal data strategies and policies, and then lastly, enhancing the data integrity. When we understand there might be something wrong, [we can] go ahead and improve that and iterate over time so the more I can use my tools to help me identify the exceptions to my rules, the better and better I should get, and the more I can trust that data long term,” he said. 

Millet added that organizations should make sure their data strategies and tools will scale as the organization grows. 

“We must be able to grow. This is not something we’re going to implement today, and then two years later, we’ve got to rip [it] out and do something else. It should be something that I can grow with over time, and be able to spread across multiple business systems,” he said. 

Finally, he stressed the importance of stakeholder engagement. Implementing the most sophisticated, powerful solutions will mean nothing if employees won’t use it. 

“If [you’ve ever switched] to a new system, whether it’s NetSuite or another system, we’ve probably all heard, ‘I don’t know what’s happening here, the reports aren’t right.’ Whatever the situation is, stakeholder engagement can only be there if they’re trusting what they’re seeing, and that the data strategy addresses that,” he said. 

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Accounting

Continuous Auditing Transforms Corporate ERPs

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continuous auditing transforms corporate erps

As corporate accounting departments cross the threshold into late July 2026, the adoption of continuous, automated auditing systems has reached a definitive turning point. Driven by advances in artificial intelligence and deep integration with modern Enterprise Resource Planning (ERP) platforms, leading finance organizations are moving away from traditional, periodic post-hoc audits in favor of real-time, 100% transactional verification. This technological transition is redefining internal control environments, reducing compliance costs, and eliminating the structural delays inherent in legacy quarterly closing processes.

Unlike traditional auditing frameworks that rely on statistical sampling—a process that inevitably leaves operational blind spots—continuous auditing software monitors operational data feeds continuously. Every purchase order, electronic invoice, payroll disbursement, and cross-border wire transfer is automatically cross-referenced against established corporate governance parameters, regulatory tax schedules, and anti-fraud algorithms in real time. Anomalies or unauthorized ledger entries are flagged instantly, allowing internal audit teams to investigate and remediate compliance gaps immediately rather than months after the close of a financial period.

The implications for executive financial management are far-reaching. By embedding continuous verification directly into daily transaction workflows, chief financial officers gain uninterrupted visibility into the organization’s true financial standing. Real-time balance sheet auditing eliminates the severe operational bottlenecks associated with month-end and quarter-end financial reconciliations, freeing accounting professionals to focus on strategic financial modeling, tax planning, and capital allocation rather than manual data entry and spreadsheet consolidation.

However, implementing continuous auditing requires accounting leadership to invest heavily in data governance and technical upskilling. Internal audit teams must evolve from manual ledger reviewers into system architects capable of auditing complex algorithms and validating automated data pipelines. Accounting firms and corporate controllers that master continuous auditing will establish a resilient compliance framework capable of meeting stringent international regulatory standards with total transparency.

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Accounting

U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

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U.S. Imposes New 50% Tariffs on Canadian Imports Under Rare Legal Provision

WASHINGTON — In a major escalation of cross-border trade friction, U.S. President Donald Trump has signed executive orders imposing new 50% tariffs on a wide selection of Canadian exports, citing discriminatory practices by Ottawa targeting American auto, dairy, and beverage industries.

The new duties, announced Monday, will take effect in 30 days. They target a broad spectrum of consumer and industrial goods—ranging from wine, liquor, and milk products to commercial cement, furniture, clothing, and hockey equipment.

Untested Legal Mechanism

To enact the sweeping measures, the administration invoked Section 338 of the Tariff Act of 1930—a rarely used legal provision allowing the executive branch to levy additional tariffs of up to 50% on foreign nations deemed to discriminate against U.S. commerce.

White House officials noted that Section 338 addresses trade discrimination rather than national security or economic emergencies. The move comes months after prior global emergency tariffs faced legal challenges in domestic courts, signaling Washington’s pivot toward alternate statutory authorities to maintain import duties.

Senior administration officials briefed reporters that the measure directly responds to Canadian provincial bans on U.S. alcohol, restrictions on American vehicle exports, and import quota disparities affecting U.S. dairy and cheese producers relative to third-party trading partners.

“While the administration continues to secure reciprocal trade agreements globally, Canada retaliated against efforts to protect domestic industry,” U.S. Trade Representative Jamieson Greer stated.

USMCA Impact and Carve-Outs

Significantly, the newly ordered 50% duties will apply to designated items even if they otherwise comply with the United States-Mexico-Canada Agreement (USMCA).

However, the administration confirmed key targeted exemptions:

  • Energy products (including oil and natural gas)
  • Potash and critical minerals
  • Fish and seafood
  • Goods already governed by sector-specific duties (such as existing steel and aluminum tariffs)

Administration representatives emphasized that the tariffs do not stem from recent disputes concerning drifting Canadian wildfire smoke, noting that policy options regarding environmental spillover remain under separate review.

Canadian Response and Market Reaction

Following the White House announcement, the Canadian dollar experienced a sharp decline against the U.S. dollar, falling approximately 0.4% during evening trading.

Canadian Prime Minister Mark Carney issued a statement emphasizing that Canada’s earlier counter-duties had merely matched previous U.S. trade actions. “Canada stands ready to engage intensively to address outstanding issues with the U.S. to the mutual benefit of our citizens,” Carney stated, pointing to detailed proposals Ottawa submitted to modernize the USMCA framework.

Ontario Premier Doug Ford took a firmer stance, urging a “dollar-for-dollar” reciprocal response if the measures go into effect on August 19.

With a 30-day implementation window before the duties officially lock in, industry associations and trade groups on both sides of the border are calling for urgent bilateral negotiations to avert further supply chain disruption across North America.

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Accounting

Automated Continuous Auditing: Transforming Compliance and Real-Time Financial Oversight

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Transforming Compliance and Real-Time Financial Oversight

The traditional accounting paradigm—defined by periodic monthly closures and post-hoc annual audits—is rapidly giving way to continuous, automated financial oversight. As of July 2026, forward-thinking accounting practices and multinational corporate finance departments are leveraging continuous auditing systems powered by advanced machine learning models. These systems monitor operational transactions in real time, shifting audit methodologies from sample-based post-analysis to absolute, 100% transaction-level verification.

The operational advantages of continuous auditing are transformative. Standard auditing procedures historically relied on statistical sampling, which, despite rigorous methodology, inherently left gaps where anomalies or fraudulent transactions could go undetected for months. Modern continuous auditing platforms integrate directly with enterprise resource planning (ERP) databases, instantly cross-referencing purchase orders, invoices, bank feeds, and tax records. Any deviation from established control parameters or unusual transaction behavior triggers immediate flags for internal audit teams, dramatically reducing detection lag from quarters to seconds.

Beyond fraud prevention, continuous auditing fundamentally alters internal reporting and decision-making. Executive leadership no longer has to wait weeks after the close of a quarter to evaluate precise financial standing; real-time verified ledger data provides an uninterrupted view of operating margins, tax liabilities, and cash flow dynamics. This real-time visibility enables corporate controllers to adjust capital allocation strategies dynamically, mitigating liquidity constraints and capitalizing on emerging commercial opportunities far more efficiently than competitors bound to legacy reporting cycles.

However, implementing continuous auditing requires accounting professionals to acquire new analytical capabilities. The role of the auditor is evolving from manual data reconciliation toward system validation, algorithmic model governance, and strategic risk interpretation. Accounting firms and corporate finance departments must invest in continuous technical education, ensuring that audit staff possess the data engineering skills necessary to design, maintain, and evaluate complex automated compliance systems.

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