Lingua Franca's Approach
Depending on the source, between 50 and 80 % of all analytics projects fail. That is our value proposition: to drastically reduce that number.
“Drowning in a sea of data” is a reality for many organisations. Yet today’s data science solutions can reduce the information overload.
80% of all analytics projects are about customers. That’s why we combine customer process knowledge with customer analytics knowledge.
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 from 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 to deal with these and many other root causes?
Let's discover if we can add value to your analytics and data landscape. Drop us an e-mail or call us. Let's connect!