Built for companies that are new to the data world, our data audit process can help your business tackle major concerns - from data protection to data accuracy.
Since business decisions are increasingly driven by analytics, it's crucial to have full confidence in their
data. Hence, performing a data audit enables you to access issues or areas that can go unnoticed at first. At
Imaginary Cloud, we perform a thorough 3-step Data Audit process:
1. Research
Briefing: We carry out a workshop with the team to present the business
vision and give you a chance to provide a global overview of the system and data infrastructure of your
business, your constraints and limitations. We also request access to the data models and data, if
available.
Data Sources: Here, we identify and analyse the available data sources
(client-owned data, public data, amongst others), the services and systems to check POC integration
viability at the end of the process; we also carry out research on potentially useful data sources that
might complement current data sources in place.
AI Assessment: We then research possible use cases already in place with
respective business values and assess the AI maturity of the client’s industry.
2. Ideation
Use Cases: At this stage, we define possible use cases for the business
and respective business value, as well as possible data acquisition strategies (additional data gathered on
the existing client platform, web scraping, generated data, and so on).
3. Definition
Viability Assessment: Finally, we review technical and business risks and
provide quick wins for possible implementations based on the use cases.
Imaginary Cloud will help you identify flaws in your Data, turn your business more cost-effective and make it grow substantially.
Built for companies that are new to the data world, our data audit process can help your business tackle major concerns - from data protection to data accuracy.
Since business decisions are increasingly driven by analytics, it's crucial to have full confidence in their
data. Hence, performing a data audit enables you to access issues or areas that can go unnoticed at first. At
Imaginary Cloud, we perform a thorough 3-step Data Audit process:
1. Research
Briefing: We carry out a workshop with the team to present the business
vision and give you a chance to provide a global overview of the system and data infrastructure of your
business, your constraints and limitations. We also request access to the data models and data, if
available.
Data Sources: Here, we identify and analyse the available data sources
(client-owned data, public data, amongst others), the services and systems to check POC integration
viability at the end of the process; we also carry out research on potentially useful data sources that
might complement current data sources in place.
AI Assessment: We then research possible use cases already in place with
respective business values and assess the AI maturity of the client’s industry.
2. Ideation
Use Cases: At this stage, we define possible use cases for the business
and respective business value, as well as possible data acquisition strategies (additional data gathered on
the existing client platform, web scraping, generated data, and so on).
3. Definition
Viability Assessment: Finally, we review technical and business risks and
provide quick wins for possible implementations based on the use cases.
Imaginary Cloud will help you identify flaws in your Data, turn your business more cost-effective and make it grow substantially.
