Businesses are collecting more data than ever. Sales figures, website activity, customer enquiries, marketing performance and operational data are all being recorded somewhere. The problem is that having more data doesn’t necessarily make decision-making any easier. This is where AI-powered analytics is starting to make a practical difference. Rather than spending hours working through reports and spreadsheets, businesses can use AI analytics to identify patterns, highlight unusual changes and make large amounts of information easier to understand. What Is AI-Powered Analytics? AI-powered analytics combines artificial intelligence with traditional data analytics to help businesses understand what their data is telling them. Traditional reports are useful for answering questions such as, “What were our sales last month?” AI analytics can go further by helping businesses understand why something changed and what could potentially happen next. For example, a business might notice that sa...
There’s a big difference between getting a PHP project working and building one that you’ll still be happy to work on six months later. When you start from scratch, it’s quite easy to open your editor, create a few PHP files and get going. That works for a small test project. For a real business application, though, it can cause headaches surprisingly quickly. Features get added. The database grows. Someone asks for an API integration that wasn’t part of the original plan. Before long, a small project isn’t quite so small anymore. That’s why it pays to get the basics right from the start. First, work out what you're building Don't start with PHP. Start with the actual problem. Say a client asks for a booking system. You could start building a calendar and a booking form straight away, but there are probably quite a few things you don't know yet. Can customers change their booking? Do they pay when they book? Can staff block dates? Does the customer receive an email or text?...