What this blog covers:
- Importance of fast analytical dashboards.
- Challenges of slow and sluggish dashboards.
- Accelerate dashboard performance with GenAI-powered semantic layer.
Organizations are transcending intuition-based approaches and embracing data-driven culture to achieve competitiveness, innovation and growth. However, simply adopting advanced tools and technologies isn’t enough. Enterprise-wide users must prioritize data insights for every small or big decision to truly become data-driven.
The world’s largest and most renowned organizations, such as Starbucks, Google and many more, are taking analytical approaches to back their decisions. They have to keep an eye on every aspect of their business and make numerous decisions every day, but don’t have time to scan mountains of data to decide on customer loyalty programs, customer retention strategies or where they should open a new store. What they need is accurate and actionable insights at their fingertips. This is possible with a powerful CEO dashboard in their line of sight that can provide a real-time snapshot of business critical KPIs. Therefore, the need for quick, responsive analytical dashboards has never been more imperative.
Dashboards aren’t just a visual representation of data. They are a window of truth that helps decision-makers understand the information to base their future decisions. They present essential data points in a visually appealing and understandable format. However, with the increasing data volumes and complexities, dashboards start delivering slow response times. Let’s look into the factors that make dashboards slow in the next session.
Moving from Slow Dashboards to Superfast Visualizations
Imagine having a comprehensible dashboard that offers real-time insights to enterprise-wide teams, but with each refresh, the user is greeted by rotating icons and lagging visuals. The dashboard becomes tedious and slow when billion-scale datasets are scanned to serve a query and bring back results. Users have to wait several minutes for it to load up.
Now, the question is, what makes these dashboards slow and sluggish? Several reasons hinder dashboard performance, such as flawed data models, inappropriate indexing, inadequate caching and costly aggregates saved for query time.
With the advancement of real-time streaming data, organizations need quicker dashboards that can provide prompt actions on fresh data. These real-time insights are critical to reduce the risk of outdated information influencing essential decisions. They need a future-ready solution to handle cloud-scale data without compromising BI tool performance.
Analytical dashboards are used across the enterprise by every department user to make decisions. For example, sales teams use it to identify loyal customer segments and develop targeted campaigns offering them benefits for using their product. They track KPIs like quota attainment, conversion rates, sales pipeline, etc. Similarly, marketing teams use analytical dashboards to monitor campaign performance, determine ROI and analyze customer engagement metrics, such as website visits, conversion rate, marketing qualified leads, etc.
Kyvos enables businesses to stay ahead in such a competitive ecosystem. The platform can accelerate dashboard performance and provide quick and flexible reporting with the ability to dive deeper into granular-level details.
Transform Dashboard Experience with Kyvos
Kyvos is a GenAI-powered semantic layer that organizes and simplifies data consumption by insulating data complexities from a user and providing standardized data views. Users can leverage Kyvos’ semantic layer to incorporate key performance indicators (KPIs) into business reports through simple drag-and-drop actions. The integrated data science and machine learning (ML) capabilities allow the creation of refined visualizations.
Kyvos eliminates the need to scan thousands of KPIs and multiple dashboards, encouraging users to interact with metrics using plain business terms and get answers in natural language. The platform’s GenAI capabilities go beyond monitoring dashboards and provide strategic value through data summarization in plain business terms.
Never Miss Any Opportunity with Lightning-Fast Insights
Kyvos’ AI-powered smart aggregation technology processes all combinations in advance and stores them in the cloud. This makes queries lightweight, so the dashboard is refreshed in sub-seconds when a query is fired. Additionally, the platform provides a unified repository called analytical data store for both raw and aggregated data, eliminating the need to maintain separate data warehouses. The column-based architecture and vectorized processing enable faster processing of data and dedicated query engines ensure shorter response times.
Furthermore, with Kyvos’ native visualization layer, organizations can build highly responsive dashboards to perform in-depth analysis on billion-scale datasets using visual filters and intuitive workflows. Kyvos provides an extensive library of charts and other advanced visualizations for effortless data exploration and analysis.
Conclusion
Dashboards are critical in organizing and presenting enterprise data in a visually appealing format to facilitate even non-tech users to drive insights. Kyvos can be a one-stop solution that can provide speed, scale and high performance, transforming the entire data-to-decision pipeline. The platform is purpose-built to handle massive datasets and answer complex queries in sub-seconds. The combined power of Kyvos and any BI tool can make dashboards a true asset in solving complex use cases and supporting business decisions.