Unstructured Data, Data Storytelling & Department KPIs

Unstructured Data, Data Storytelling & Department KPIs

Unstructured Data

How important is it?

?? As organizations rapidly advance their digital transformation and consumers increasingly rely on digital channels, the volume of data generated daily has reached unprecedented levels.

?? A significant portion of this data is unstructured, lacking predefined organization or a specific data model. Consequently, many organizations overlook valuable insights by failing to consider and process this type of data properly.

?? Harnessing the power of unstructured data through advanced analytics and machine learning can offer organizations a significant competitive advantage. These tools can reveal hidden patterns, trends and correlations, leading to more informed decision-making, enhanced customer experiences and the identification of new business opportunities.

?? Furthermore, integrating unstructured data analysis with structured data provides a holistic view of organizational performance and market dynamics. This comprehensive approach empowers businesses to adapt quickly to market changes and customer needs, driving innovation and fostering sustainable growth.


Data Storytelling


Closer Project

Department KPIs

??? A retail corporation sought to optimize its IT ticket processes and inventory management. Manual Excel-based methods were inefficient and prone to errors, hindering timely and accurate decision-making. The corporation aimed to automate processes and generate reliable KPIs to improve operational efficiency and reduce costs.

??? The project was completed in two phases: a manual phase using BigQuery for reporting and KPI generation and an automated phase using GCP tools and Looker for interactive dashboards.

??? The implementation of this automated solution significantly enhanced operational efficiency and resource allocation. The Control Dashboard offered real-time updates, ensuring accurate and reliable KPIs. Improved ticket visibility empowered managers with timely and accurate data, leading to better decision-making. By streamlining processes and reducing manual intervention, the project reduced the number of FTEs required, allowing the team to focus on strategic analysis and innovation.


Quick Links

?? Could AI make data science obsolete? | Joe McKendrick | ZDNET

?? Charting a path to the data- and AI-driven enterprise of 2030 | 麦肯锡

?? AI and the Future of Math With DeepMind AlphaProof | No Priors Podcast

?? ChatGPT: Two Years Later | Julian Peller | Towards Data Science

要查看或添加评论,请登录

Closer Consulting的更多文章

社区洞察

其他会员也浏览了