https://techmonitor.ai/technology/data/what-is-data-architecture > A bad workman always blames his tools, or so the saying goes. And while we’ve all been tempted to excuse poorly built flat-pack furniture by unfairly blaming a cheap screwdriver, there is a lot of truth in the idea that a good, finished product requires the right tools for the job. When organisations seek to build an effective data strategy, it is important they have the right framework and the right people for the job; but it’s also crucial businesses understand that to get the most out of their data, they need the right tools and processes in place. > It might seem obvious to those of us in the data industry, but many organisations still don’t appreciate that data underpins any business metrics. Everything from sales forecasts to capacity planning and analysis of new business opportunities comes from the collection of data, but many data-enabled businesses fail to verify exactly where that data is coming from. This can lead to poor data-based recommendations and strategies. Building a business model on the back of bad data is like building a house of cards: the final product might look impressive at first, but you’ll soon find out that the whole thing will come crashing down with the slightest pressure.