With different sets of data being collected by different business functions, it sits in silos, unstandardized with potential gaps and anomalies, and not readily usable. In the same organizations there can also be a lack of data advocates, even data literacy, and in many cases, a lack of alignment between IT, senior leadership, and lines of business in terms of a data strategy, or who is responsible for it.
Data integrity and readiness is about making data visible, understood, and usable as a source of insight. You must ensure that it’s collected correctly, arrives in a central location in a standardized format, is stored with the proper governance, and is accessible and usable by technical and non-technical employees alike.
Insight is achieved when your data is usable as a source of intelligence to inform decisions, analyse the status quo, identify opportunities, and predict outcomes. Insight is where the excitement begins and where ideas are born. The ability to apply cognitive models and utilise machine learning, deep learning, and natural language processing techniques is key. Being able to model the analysis ready data is a must.
Innovation for new value happens when those ideas come to fruition, backed by new technologies, for the benefit of your business, your customers, and society as a whole. When your data is trusted, available, and analytics ready it is only then you can do ‘on-the-fly’ analysis and scenario modelling quickly and efficiently using the best in breed tools. It’s why it’s imperative that your data is recognized at the highest level as a key corporate asset. Only with C-suite support can your organization achieve the cultural and technological change to democratize data, create data champions, and seize opportunities.
Human-centric technology design is at the heart of innovation. If you can configure and optimize your IT infrastructure so it complements the needs and skills of your employees – so it’s easy to innovate with – you’ll unleash more creativity and more disruptive ideas.