Table 2: Some workshop questions about data.
• Q.UD.1 What are the data sources and data types
used in your current business processes?
• Q.UD.2 What tools/applications are used to deal
with your current business processes?
• Q.UD.3 Are your present business processes per-
forming complex processing on data?
• Q.UD.4 How available is your data? What happens
if data is not available?
• Q.UD.5 Do different users have different access rig-
hts on your data?
• Q.UD.6 Does your data contain sensitive informa-
tion (e.g. personal or company confidential data)?
cause they only focus on a specific function and can-
not provide a good global picture of the problem.
5 CONCLUSIONS
In this paper, we described how we addressed the
challenges and risks of deploying a Big Data solu-
tion within companies willing to adopt them to sup-
port their business development. Based on different
methods and experience reports for the literature, we
came up with a method fitting our needs and con-
tinuing to evolve as we explore more uses cases, while
highlighting a number of lessons learned.
When considering the adoption of Big Data ana-
lytics in organisations, what is crucial is the process
followed to come up with a method that will maxi-
mize the chance of success and will fits the needs of
each specific organisation.
Moving forward, we plan to consolidate our work
based on what we will learn in the next series of pro-
ject case studies. So far, we have also focused more
on the discovery and data understanding phases. We
plan to provide more guidance on the project execu-
tion phase when enough pilot projects have reached
completion or key milestones.
ACKNOWLEDGEMENTS
This research was partly funded by the Walloon Re-
gion through the ”PIT Big Data” project (nr 7481).
We thank our industrial partners for sharing their ca-
ses and contributions to the method assessments.
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