Meg Bratley

5 days ago | ifamagazine.com | Meg Bratley

Across the UK, businesses are losing over £61 billion a year in productivity due to poor natural lighting – a major concern for future economic growth. With more employees than ever working from home, and scientific research finding that poor lighting can impact productivity by as much as 15%, a new study by home improvement specialists Eurocell has uncovered the staggering financial impact of poor natural light in many home workspaces.

5 days ago | ifamagazine.com | Meg Bratley

Research from Suffolk Building Society reveals that 15% of UK homeowners, some 6.3m adults, are considering or planning to downsize during the current five-year parliamentary session. There is a North / South divide in those expected to downsize in the near future, with one in ten (10%) of those in the North contemplating this, compared to 14% of those in the South. In London, this figure is 25%, likely due to housing prices and cost of living increases.

6 days ago | ifamagazine.com | Meg Bratley

Defaqto, one of the UK’s most trusted sources of financial product and market intelligence, has identified the top 10 most recommended platform managed portfolio solutions (MPS) by value for Q1 2025. The findings are from Defaqto’s whole of market data which includes more than 18,000 funds, 2,900 DFM MPS portfolios, platforms and products.

6 days ago | ifamagazine.com | Meg Bratley

From today (15 April 2025), new and existing Santander customers aged between 20 to 25 can nab themselves a free four-year railcard when they open any Santander savings account or cash ISA before 31 May 2025.  To be eligible to snap up this offer, customers must:  Pay at least £50 into a new Santander savings account or cash ISA by 31 May 2025, Maintain a minimum balance of £50 in the account until at least 30 June 2025, and  Set up online or mobile banking by 31 May.

6 days ago | ifamagazine.com | Meg Bratley

Agencies battling pension scams are more united than ever as they use artificial intelligence to uncover fraudulent websites. A coalition of fraud fighters have used machine learning technology, algorithms trained with real-world data to build predictive models, to create a new tool to detect scam websites. Each of these fraudulent sites would have had the potential to reach thousands of savers.