Discoveries

Some of the discoveries from using this app include:

• Improved accessibility to Qlik insights

• Simplified interaction with data through WhatsApp over traditional BI tools

• Real-time app reloads via messaging enable teams to react quickly to changes in data, boosting operational efficiency

Impact

DC Messenger has made it easier for our team to access Qlik data and perform actions without needing to log into the platform. This has saved time and allowed users to quickly get the answers or updates they need, even when they're away from their desks.

Audience

Can send messages to up to 100,000 unique numbers in a 24-hour period.

Data and advanced analytics

• Various structured datasets contained in the Qlik estate

• Roughly 100 files of unstructured data accessible via Qlik Answers

• Five different LLMs are accessible for users to query and use for analysis

Discoveries

It is a dashboard which will give you a quick insight on deals won and deals lost.

Impact

This mainly helps the organization to see why they lost and to whom they lost and for a what reason. For example, 20% of their loss might be to one organization for one particular reason (the reason can be cost). So, the next time when they compete with an organization, they can strategize well to win deals.

Audience

Sales team of any organization

Data and advanced analytics

This mainly helps the organization to see why they lost and to whom they lost and for a what reason. For example, 20% of their loss might be to one organization for one particular reason (the reason can be cost). So, the next time when they compete with an organization, they can strategize well to win deals.

Discoveries

Optimization of Route Order: Experimenting with different city sequences reveals that the order of stops significantly affects total travel time. Users discover that planning an efficient sequence can save valuable minutes, especially with a time constraint. Real-Time Decision Making: The app demonstrates how real-time adjustments, such as changing routes or redistributing speed points, impact overall performance, mirroring the decision-making process in real logistics scenarios.

Impact

The app demonstrates how Qlik Sense can be used beyond traditional analytics, enabling businesses to simulate and optimize complex logistical operations in real time. By providing insights into route efficiency and resource allocation, it can help companies streamline delivery processes, reduce costs, and improve overall operational efficiency.

Audience

This idea of app is designed for logistics managers, BI analysts, and operations teams who would use it to explore and refine delivery strategies.

Data and advanced analytics

The total time calculation provides valuable insights derived from the interplay of speed points and total weight on each route. In a real-world scenario, additional variables would come into play, but this app effectively demonstrates the foundational concept of leveraging data to optimize complex logistics operations.

Discoveries

Data Visualization Increases Decision-Making Speed: Visual representations of data make it easier for users to identify patterns, trends, and anomalies. Customer Segmentation Boosts Revenue: Understanding customer segments—such as top customers by revenue, region, or purchase behavior—enables more targeted sales and marketing strategies.

Impact

Salesperson Performance Metrics Increase Accountability: Clear performance tracking improves accountability, encouraging higher productivity and goal achievement. Management can easily identify top performers and areas needing coaching or development.

Audience

Sales Managers/Team Leads: Role: Responsible for overseeing the performance of the sales team, tracking key performance indicators (KPIs), and managing the sales pipeline. Need: They use the dashboard to monitor team performance, identify bottlenecks, track conversion rates, and take corrective actions if needed.

Data and advanced analytics

Improved Sales Forecasting and Planning Impact: Predictive analytics, powered by historical data, enables accurate sales forecasting, identifying potential revenue streams, future sales volumes, and market demands.

Discoveries

Users can explore historical air pollution levels in major cities worldwide, comparing them to regional averages. The app reveals trends in air quality over time and helps identify cities with the highest and lowest pollution levels. By analyzing the concentration of specific air pollutants, such as PM2.5 and NOx, users can discover correlations between air quality and asthma rates in different regions. This app also provides insights into the impact of urbanization and industrialization on air quality, allowing users to understand the potential health risks associated with varying pollution levels. Additionally, it highlights the progress made in reducing air pollution in certain areas, offering a comprehensive view of global air quality trends.

Impact

The app has significantly impacted public health awareness by providing easy access to critical data on air pollution and its effects on respiratory health. It has enabled health professionals, policymakers, and the general public to make informed decisions about air quality management and mitigation strategies, ultimately contributing to efforts in reducing pollution-related health risks.

Audience

The audience for this app includes: 1. Public Health Professionals: Researchers and healthcare providers interested in studying the effects of air pollution on health, particularly respiratory conditions like asthma. 2. Policymakers and Government Agencies: Officials who develop regulations and policies to improve air quality and public health. 3. Environmental Organizations: Groups focused on environmental protection and advocacy, using the app to support initiatives for cleaner air. 4. Urban Planners and City Officials: Professionals involved in urban development who need data on pollution levels to make informed decisions about infrastructure and zoning. 5. Educational Institutions and Researchers: Students and academics studying environmental science, public health, or urban planning. 6. General Public: Individuals concerned about air quality and its impact on health, looking for information about pollution levels in their cities or regions.

Data and advanced analytics

The app leverages comprehensive data analytics to visualize and compare air pollution levels across different regions and times. By utilizing advanced analytics, it provides actionable insights into pollution trends and their correlation with health outcomes, enabling more targeted and effective public health interventions.

Discoveries

You can analyze visits to your web, views to you instagram profile

Impact

You can review impact on your posts.

Audience

Marketing people

Data and advanced analytics

You can check most visited pages on your web

Discoveries

Reduction of turnover, reduction of absences, reduction of overtime, payroll spending planning, benefits management, decentralized management!!!

Impact

Decentralized Management of People and Benefits! Budget management and Payroll planning!

Audience

Hour control; Benefits Control; Fair management;

Data and advanced analytics

Reduction of overtime; Control and monitoring of hiring new employees; Reduction in hiring expenses!!!

Discoveries

Discover how sunburst charts can help you. Explore multiple ways of displaying hierarchies and measures, drill-down, flexible labels, custom colors, center content, HTML tooltips, and more.

Impact

Experience firsthand how an interactive sunburst chart can empower intuitive exploration of hierarchical data structures through a set of sliced concentric rings and how it can be tailored to specific needs.

Audience

Everyone looking to enable more efficient and insightful exploration of hierarchical datasets within their Qlik environment.

Data and advanced analytics

This app features sunburst visualizations powered by AnyChart's Sunburst Chart extension for Qlik Sense, using U.S. Census data for illustration.

Discoveries

Weighted data makes data more accurate. NPS Classification is needed when looking at review data. Sentiment Analysis would be the next addition to make the data even more accurate.

Impact

Review data is tricky as the data from 1 to another differs in so many ways. Careful consideration is needed when making decisions. Weighted data makes data more accurate. NPS Classification is needed when looking at review data. Sentiment Analysis would be the next addition to make the data even more accurate.

Audience

Marketing and BI Developers

Data and advanced analytics

Weighted data makes data more accurate. NPS Classification is needed when looking at review data. Sentiment Analysis would be the next addition to make the data even more accurate.

Discoveries

If team plays game at home, they score more, and win the games more often

Impact

It didn't, I did it just for myself 🙂

Audience

I showed it just to my Professor at my Business Informatics studies and my colleagues from the group. They liked it.

Data and advanced analytics

I used alternate states for it, to enable on one side of the dashboard to select games played at home, and on the second side games played away.