Mining Problems: Real User Complaints & Data Analysis | BigIdeasDB

"Develop advanced analytics tools that integrate seamlessly with existing form builders allowing users to clarify user insights with visual dashboards. Features could include performance tracking on KPIs, advance filtering and segmentation data options, and automatic scheduling for reports. Offer guided tutorials to help users leverage analytics effectively."

The lack of advanced data exporting and report functionalities is evident, with users reporting significant delays due to poor data handling. Current platforms don’t incorporate comprehensive analytical tools that allow users to track performance and trends effectively. Users face time-consuming manual compilations, averaging around 10 hours a month, undermining efficiency.

"Design a customizable integration module allowing users to develop and implement their own logic without deep code alterations. Provide a user-friendly interface with drag-and-drop functionality for creating pipelines of logic tailored to particular mining needs."

Mining companies often need tailored configurations to meet specific operational logic that existing solutions cannot accommodate. This presents a bottleneck in deployment as IT managers must navigate customizations that delay project timelines. An industry average indicates nearly 30% of projects are delayed due to customization issues.

"Create a setup wizard capable of offering step-by-step guidance tailored to specific mining operations. Incorporate templates for pre-defined configurations, simplifying complexities encountered in unique mining scenarios, and include context-sensitive help throughout each stage."

Users frequently struggle with the intricate setup processes for complex models, which can take days for efficient configuration. These challenges can delay reporting and decision-making significantly, as noted by one project manager who remarked setup inefficiencies impede timely analyses.

"Develop an autosave feature that records progress at set intervals (e.g., every minute) ensuring that users do not lose their work during crashes. This should include recovery options for in-progress models and encrypted storage for sensitivity. An alert system could also notify users of major unsaved changes before software crashes occur."

Mining analysts often lose critical progress during simulations due to software crashes, leading to wasted man-hours and declining urgency in project development. Companies may lose tangible project timelines as hours are lost saving configurations after progress. This is particularly distressing when simulation results are crucial for upcoming bids or operational adjustments.

"Develop a comprehensive, interactive onboarding platform that includes step-by-step tutorials, FAQs, and live chat support. Key features would include user profile tracking for personalized guidance, integration with existing software for seamless transitions, and in-app learning modules to reinforce knowledge retention. The solution could leverage AI to provide context-sensitive help and predictive analytics to suggest resources based on user interactions."

Many users from SAS Enterprise Miner and IBM Process Mining report that poor documentation significantly delays onboarding. Users with technical skills struggle and often take up to weeks learning due to insufficient guidance. This lack of clarity contributes to inefficiencies and lost productivity, with 39% of users experiencing ongoing issues in adjustment phases, leading to significant project overruns financially and time-wise.