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3 days agoADP Slips 4% After Reporting Q1 Earnings
ADP reported Q1 FY2026 earnings and revenue beats driven by bookings and retention, but margin compression and no guidance raise limited investor reaction.
Stoller: Speaking of core, the new book is about core. It's called Strong Ground. She based it on-she had a pickleball injury, needed to get a trainer to work on her physical core, [and] used that as a metaphor for CEOs and organizations building up their own core in this time of fear, uncertainty, and-hard time to tell the truth, as she's recently said.
Midstream energy stocks are the companies involved in the processing, transportation, and storage of crude oil, natural gas, and natural gas liquids. These companies operate in the "midstream" sector, which falls between the upstream (exploration and production) and downstream (refining and marketing) sectors of the energy industry. They are far less susceptible to spot benchmark pricing moves, as most sector leaders have locked in contracts for their services, some of which run for years.
iMAD Research Inc. (https://imad.com), a global market intelligence firm, recently concluded a multi-country study aimed at understanding adoption challenges for smart meter technology in semi-urban and urban business environments. The research revealed critical behavioural insights related to consumer hesitancy, billing trust gaps, and digital readiness among small and medium enterprises (SMEs). Founded in 2017 by Kartik Khanna and Abhishek Soni, iMAD Research Inc. operates across the United States, United Kingdom, and India, with over 2.5 million verified respondents globally.
Warren Buffett has made what may be his final major acquisition, with Berkshire Hathaway purchasing the petrochemical division of Occidental Petroleum. Buffett already owns a large portion of Occidental - between 27% and 35% of its common stock - as well as a significant amount of preferred shares from an earlier deal. This new transaction provides Occidental with about $10 billion, which will help the company reduce its debt and improve its balance sheet.
From reproductive rights to climate change to Big Tech, The Independent is on the ground when the story is developing. Whether it's investigating the financials of Elon Musk's pro-Trump PAC or producing our latest documentary, 'The A Word', which shines a light on the American women fighting for reproductive rights, we know how important it is to parse out the facts from the messaging. At such a critical moment in US history, we need reporters on the ground.
By analyzing cash flow generation, capital allocation strategies, and management quality, I can identify companies with durable competitive advantages and the financial discipline to maintain and grow their dividends through economic cycles. Early in my career, I realized that dividend investing is not merely an income strategy, but also a comprehensive framework for building wealth through companies that consistently return capital to shareholders while maintaining financial stability.
Snowflake, together with partners, is introducing the open-source initiative 'Open Semantic Interchange' (OSI). The initiative aims to create a standard for semantic metadata in AI and BI applications. The problem is ubiquitous in the modern data world. Every tool interprets business statistics differently, leading to confusion and undermining trust in AI-driven insights. As AI transforms the way companies use data, this challenge is only growing.
Predictive analytics transforms how we think about learning measurement by shifting focus from reactive reporting to proactive decision-making. Instead of waiting months or years to determine whether a program succeeded, predictive models can forecast outcomes based on historical patterns, participant characteristics, and program design elements. Consider the difference between these two scenarios: Traditional Approach: Launch a leadership development program, wait 12 months, then discover that only 40% of participants demonstrated measurable behavior change and business impact fell short of expectations.
Metrics creation is a crucial yet often overlooked component of effective data analytics. It transforms raw data signals into actionable insights, allowing organizations to track performance and identify trends.