- Most companies fail to keep their data funds in chess
- Many people still manually manually administer data across multiple platforms, hubspot claims
- Your data should be very available for future AI tools
New research has highlighted how fragmented and silent data should be key considerations for companies that want to put solid foundations before exploring AI tools.
One-third (34%) of companies investigated by HubSpot have already seen loss of income due to fragmented customer data, and even fewer (31%) believe that most of their data are available to AI systems.
Furthermore, hardly any companies (9%) trust their data enough for accurate reporting, making them almost impossible to make educated and guided decisions.
Most companies neglect data
Nine out of 10 (92%) admits valuable insights that actually sit outside their CRM – for example across multiple spreadsheets or chats, making it both inaccessible and unstructured. To this melody, 37%acknowledge that productivity is affected by time utilization of scattered information.
“The organizations that will succeed are those who focus on breaking down internal silos and ensuring that insight can flow freely and safely across teams,” explained EMEA VP for sales and CEO Mark Barry.
Currently, three out of four (74%) still transfer manual data to CRM platforms at least weekly, and 88% of companies face at least one major challenge in AI admission.
The clearest recommendation form HubSpot’s report is that companies must unite customer data into a source so that they can be used for advanced and AI enhanced reporting.
To do this will also support them in the construction of AI clear infrastructure, but they must also consider future changes in legislation to prevent having to change strategies later on the line. So far, 71% of British companies have had AI projects delayed or disturbed by GDPR or the upcoming AI law.
“By prioritizing overall, intelligent data strategies while staying ahead of developing rules, companies can transform digital disruption into a serious competitive advantage,” Barry concluded.
In an era where web traffic falls and customer discovery switches to AI channels, it has been prepared for AI to extract meaningful insights, never been so important.
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