Combining Technical and Business Knowledge for Analytics

Depending on the source, between 50 and 80 % of all analytics projects fail. That is our value proposition: to drastically reduce that number.
Lingua Franca has identified the root causes of failed analytics projects.
Inconsistent business analysis: no clear business case, a disconnect between business and information strategy to name a few.
Incomplete data analysis: the source data are not sufficiently explored and analysed to maximize value form the analytics project.
Wrong use of agile development methods: if the developers have rightfully dropped waterfall methods for analytics, they’ve often turned into the wrong agile direction, causing unnecessary rework and loss of momentum.

Would you like to know how deal with these and many other root causes? Drop us an e-mail or use the contact form.