Digital transformation is not buying more software. It is choosing which operational constraints to remove, in an order the business can absorb.
Start with customers, products or services, money, inventory, staff and reporting. Identify where information is created, where it is copied and where managers wait for someone to prepare a report.
If the same customer, stock item or payment exists differently in several files, automation will only move inconsistent data faster. Decide which system owns each important record and how other tools receive that information.
Score candidate improvements by time lost, error risk, customer impact, revenue impact and implementation complexity. A modest stock-control improvement can create more value than an impressive dashboard built on unreliable data.
Payments, ecommerce, accounting, CRM and reporting do not have to live in one application, but their boundaries need to be clear. Use stable identifiers and documented APIs or imports so staff are not the integration layer.
Launch the smallest coherent workflow, train the people who use it and measure whether the expected problem improved. Add the next module after the first one produces reliable data. Transformation is easier to sustain when each phase has a visible operational result.