Oracle OpenWorld is a fall event that sprawls over a lot of territory – figuratively in terms of the IT landscape and, if you’re in San Francisco, literally. My focus here is on the ERP portion of the company’s software portfolio.
From my perspective, supply chain management (SCM) and sales and operations planning (S&OP) are two of the most underappreciated disciplines of modern corporate management. Properly applied, they can improve performance and competitiveness by increasing customer satisfaction and reducing costs. A combination of more capable information technology with advances in operations research and analytics has made managing supply and demand chains potentially more impactful by making them more flexible and adaptable to market conditions. Consequently, companies can enhance profitability, reduce working capital and improve customer satisfaction by providing more reliable service.
Sage Intacct recently held its annual user group meeting. The cloud financial management software service provider targets rapidly growing small- and midsize services companies. Within this broad category, Sage Intacct focuses on verticals including software, financial services, healthcare, nonprofits, wholesale and franchisers.
In 2013, the Organization for Economic Cooperation and Development (OECD) published a report titled “Action Plan on Base Erosion and Profit Shifting” (commonly referred to as “BEPS”), which describes the challenges national governments face in enforcing taxation in an increasingly global environment with a growing share of digital commerce. Country-by-country (CbC) Reporting has developed in response to the concerns raised in the report. To date, 65 countries (including all members of the European Union but not the United States) are signatories of the multilateral competent authority agreement establishing CbC reporting.
The application of artificial intelligence (AI) and machine learning (ML) to business computing will have a profound impact on white collar professions. This is especially true in heavily rules-based functions such as accounting. Companies recognize the transformational potential of AI and ML, but the progression and pace of the adoption of these technologies is unclear. Some applications of AI and ML are already in use but others are a decade or more away from replacing human tasks.