Looking ahead to the future, the utilization of data is poised to become a prevailing norm, empowering intelligent workflows and effortless human-machine interactions. In materializing this vision, a crucial aspect is the consideration of data usability. Data products should not merely consist of reusable datasets tailored for specific objectives; they should also be easily consumable through tools that are intuitive and comprehensible within the end-user’s working context.
Highlights
- Organizations aim to use data effectively to drive impact, such as boosting revenue, reducing risks, or enhancing service quality. These outcomes are critical for the success of any initiative.
- Achieving tangible benefits from data involves three essential components: Technology, Data Products, and People.
- Improving Data Usability leads to the development of more effective data products.
- In our data to impact framework, key factors enhancing data usability include User, Persona, Process & Context, Impact, Data Product, and Tool.
- Specific tools, whether it’s a KPI report, an AI chatbot, or a spreadsheet with raw data, each contribute uniquely to Improving Data Usability.
- Data strategy plays a pivotal role in enhancing data usability by bridging the divide between business, IT, and data teams. It creates a cohesive environment where data products and tools developed across teams are well-integrated.
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