CDAO Digital Event Preview: Smart Analytics – How to Achieve Adoption in the Modernization Journey

Regarding contemporary business practice, data lies at the heart of every successful transformation. Digital transformations work best when businesses take a clear-eyed approach to data utilization, anchoring their initiatives with smart analytics.

In a previous digital event session, "How to Galvanize Analytics Digital Transformation," the focus was on how successful businesses leverage analytics to deliver real value and drive successful transformations. Four key actions were highlighted as central to effective, value-creating digital transformations. Among these, the importance of fully integrating analytics into the business and making data and analytics broadly accessible within the workforce was emphasized, effectively democratizing AI-driven solutions.

To continue this conversation, the next session, "Smart Analytics — How to Achieve Adoption in the Modernization Journey," was offered at CDAO UK on 24th February 2021. This session aimed to provide fresh insights about overcoming common hurdles to effective analytics adoption.

What to Expect

The event was designed for data and analytics leaders, offering advice for implementing analytics solutions. The focus included aligning data strategy with digital transformation and establishing a data-driven culture across organizations to make leveraging analytics for growth simple and intuitive.

While digital transformations are essentially data transformations, many business leaders remain unclear about what a successful data transformation looks like or how to achieve one in practice.

Increasing the availability of data and accessibility of data analysis tools is often seen as a pillar of effective data transformation. However, focusing solely on these aspects can lead to mixed results. Producing more analysis without an organizational system that emphasizes communication and cross-team collaboration can result in confusion and wasted time.

One discussion point was how data use can be tailored to a company’s various analytics producers and consumers, ensuring the benefits of an AI-driven approach. A fluid analytics system can be confusing, but a system powered by AI that pushes relevant content to the forefront and keeps users informed about colleagues' work through contextualized conversations can encourage a collaborative approach. The goal is to centralize self-service analytics without compromising its value.

Other topics and problems discussed in the session included:

• ​The importance of establishing sharing controls that provide team members with trusted data while maintaining security and governance.
• ​Why the "self" in self-service business solutions, which promised the ability to harness significant computing power without coding, did not deliver the revolution expected.
• ​The need to rethink the meaning of "smart" analytics solutions, emphasizing personalized user experiences over flashy graphics and displays.
• ​Why resilience in change is the foundation of any transformation.

Most importantly, the session focused on achieving fluid and thorough adoption of smart analytics solutions, with key metrics such as ease of use, convenience, and barriers to entry.

Since the event has taken place, it is available to view on-demand.