The Dilemma of Incomplete Data
Make your Data Count!
Can you trust me with your data analytics process? A survey by Wakefield Research and partners on Senior Enterprise data leaders about AI is revealing. As usual, most enterprises are either thinking of deploying or have plans to deploy AI but there are some obvious challenges.
Some Day-Day Data Challenges
Organisations today generate a large amounts of data across various operations and daily activities. Applying these data in solving a variety of business problems requires technical expertise and man hours. This is where our team at Reispar AI comes.
In that research (Wakefield), incomplete data was one of the reasons AI fails. From first hand experience myself, I can relate to this. There are several reasons for incomplete data as some organisations miss out on the data capturing, storage and archiving process to a number of factors.
In implementing profitable AI solutions, more focus should be applied to the end-end value chain. The goal is to optimise returns from data across CRM, ERP, digital Platforms among other data collection points.
I am really looking forward to deploying our AI solutions to your business, at Reispar Technologies- we simplify the process for optimal business outcomes. Please feel free to reach out via email to book a consultation session.
Are you interested in joining our Personal Development BI track for individuals and business teams this May? Follow this link or email us to book for your team/company — 7 Weeks of SQLBI.
