
AI & data5 min
Start from the data you already have
The useful dataset is the one sitting in the CRM and the inbox, not a new lake.

About
Teams stall when numbers live in five places. Planning uses last week's export. Support uses a different sheet. Reporting is a merge that someone dreads.
We connect the sources people already trust, even if they are ugly. Then planning, support and reporting can look at the same picture. A new lake does not fix that on its own.

47.4%
say they compete on data and analytics
26.5%
say they have created a data-driven organisation
19.3%
say they have established a data culture
91.9%
name culture as the main barrier, not technology
Figures from NewVantage Partners, 2022 Data and AI Executive Survey. Among 94 Fortune 1000 and other leading organisations: 47.4% say they compete on data and analytics. 26.5% say they have created a data-driven organisation. 19.3% say they have established a data culture. 91.9% of executives name culture as the main barrier, not technology.
Offerings
Clean data is a result of use. We do not wait for a perfect warehouse before the work can move.
01
The useful set is usually already there: the CRM, the inbox, the spreadsheet someone updates by hand. We start there.
02
Connected sources and reliable flows, so the same number does not get typed in twice.
03
Planning, support and reporting look at one picture, instead of reconciling three versions of last month.
04
Someone owns the flow after go-live. When a source changes, the rest of the week should still make sense.
Insights

AI & data5 min
The useful dataset is the one sitting in the CRM and the inbox, not a new lake.

AI & data6 min
Everyone can rent the same models. The work is getting them into the operation, with data that is actually there.

Approach4 min
Scope, impact and investment belong on paper before a sprint starts. That is the point of Fid Dev Discovery.