VENDORiQ: Qlik Introduces Mobile Analytics
7 May 2021: Analytics vendor Qlik has released its mobile client Qlik Sense Mobile for SaaS. During the announcement, Qlik outlined how the new client enables both online and offline analytics and alerting. The goal is to bring data-driven decision-making to an ‘anywhere, anytime, any device’ model.
Why it’s Important
While IBRS accepts that mobile decision support solutions will be of huge value to organisations, this needs to be tempered with an understanding that not all decisions should be made in all contexts. There is a very real danger that in the hype surrounding analytics, people will start making decisions in less than ideal contexts. Putting decision support algorithms (i.e. agents), KPI dashboards and simply modelling tools on mobile devices will likely be the next wave of analytics. In short, mobile big data/AI driven solutions that support specific, narrow mobile work tasks will be a very big deal in the near future.
However, creating and diving into data - that is, data exploration - is or should be, a process rooted in deep, careful, considered scientific thinking. That is a cognitive task that is not well suited to a mobile device experience. This is not just due to the form factor, but also the working context. Such deep thinking requires focus that a mobile work context does not provide.
As organisations embrace self-service analytics and more staff are engaged in creating and consuming visualisations and reports, data maturity will become an increasingly important consideration. However, data literacy is not just a set of skills to learn: it requires a change in culture and demands staff become familiar with rigorous models of thinking. It also requires honest reflection, both of the organisation’s activities and individually.
While mobile analytics will be a growing area of interest, it will fail without a well-structured program to grow data literacy within the organisation and without granting staff the time and appropriate work spaces to reflect, explore and challenge their assumptions using data.
- HR directors
- Business intelligence groups
Organisations should honestly assess staff data literacy maturity at a departmental and whole or organisation level. Armed with this information, a program to grow data literacy maturity can be developed. The deployment of data analytics tools, and indeed data sets, should coincide with the evolution of data literacy within the organisation.
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