- Most companies fail to keep their data foundations under control
- Many still manually manage data on several platforms, claims HubSpot
- Your data must be very accessible to future AI tools
New research has underlined how fragmented and partitioned data should be key considerations for companies that seek to lay solid foundations before exploring AI tools.
A third (34%) of the companies questioned by HubSpot have already experienced a loss of income due to fragmented customer data, and even less (31%) think that most of their data is accessible to AI systems.
In addition, almost no company (9%) trusts their sufficient data for specific reports, which makes almost impossible to make educated and guided decisions.
Most companies neglect data
New out of 10 (92%) admit valuable information is actually outside their CRM – for example on several spreadsheets or cats, which makes it both inaccessible and not structured. This air, 37% recognize that productivity is struck by time to reconcile dispersed information.
“The organizations that will succeed are those which focus on the breakdown of internal silos and the guarantee of ideas can circulate freely and safely between the teams,” said sales director Emea of Sales and Director Mark Barry.
Currently, three out of four (74%) still manually transfer data to CRM platforms at least each week, and 88% of companies face at least a major challenge in the adoption of AI.
The clearest HubSpot recommendation form is that companies unify customer data in a single source so that it can be used for advanced and IA -improved reports.
This will also support them in creating infrastructure ready for AI, but they must also consider upcoming changes to the legislation to avoid having to move strategies later. To date, 71% of British companies have had delayed or disrupted AI projects by the GDPR or the next AI law.
“By prioritizing unified and intelligent data strategies, while remaining ahead of the development of regulations, companies can transform digital disturbance into a serious competitive advantage,” concluded Barry.
At a time when web traffic drops and the discovery of customers moves to AI channels, the preparation of AI to extract significant information has never been so important.
Follow Techradar on Google News And Add us as a favorite source To get our news, criticisms and expert opinions in your flows. Be sure to click on the follow!
And of course, you can also Follow Techradar on Tiktok For news, criticism, unpacking in video form and obtain regular updates to us on Whatsapp Also.
