Most companies don’t plan to build their own analytics software.<\/p>\n
They start with Tableau<\/a>. Or Power BI<\/a>. Or Looker<\/a>. It works until product, data, and scale requirements start diverging from what these tools can support.<\/p>\n Then comes the moment every CTO recognizes: you\u2019re paying $40,000+ a year for a tool. It can\u2019t model your data the way you need. It can\u2019t be embedded into your product. It can\u2019t scale without another costly add-on.<\/p>\n That’s when the question shifts from “which BI tool should we use” to “should we just build the solution ourselves?”<\/p>\n However, it comes with a real cost, one that most vendors will not provide a straightforward answer to.<\/p>\n This blog does. It breaks down exactly:<\/p>\n You’ll get clear answers to all three, with real figures, real complexity tiers, and no vague estimates.<\/p>\n Analytics software like Tableau is not one thing. It is a category, and where your product sits in that category determines everything about what it costs to build.<\/p> Table of Contents<\/p>\n<\/span><\/div>\n\n
<\/span>Types of Analytics Software: Which One Are You Building?<\/span><\/h2>\n