When managers and entrepreneurs define business strategies, workflows, and any other kind of operations related to running a business, the first thought they have is productivity, regardless of their company size. 

To be productive, companies require access to the resources they need at the right time. 

When we refer to resources, we are including physical assets as well as intangible resources, for example, data, which in the digital, data-driven world we live in are more crucial than ever.

However, quite often it is not possible to obtain the right data at the right time, and this critical issue is in strong contrast to the growing demand for data availability. 

In fact, more and more business functions need rapid access to data in order to meet their demands. These include Accounting and Finance, Logistics, Sales and Marketing functions.

 Moreover, these data are very often distributed throughout the organization in different data repositories and formats. 

Extracting, cleaning and preparing them for analysis can be time-consuming, reducing the team’s ability to respond to new business opportunities or quickly resolve urgent problems. 

 On average, 19 hours per week are spent on data processing. 

Then again, 24.6 are the hours spent weekly by data scientists to gain access to data (19.1 hours, the time spent by data engineers)

 

How can data become accessible to people located in different business functions at the time of need?

 

 

Claudio backing up data automation