Systems | Development | Analytics | API | Testing

7 Most Common Dashboard Design Mistakes to Avoid

Dashboards are an important data analytics tool for understanding business metrics and managing your business performance. However, if your dashboard is not designed well, it can be difficult to use for analysis, and ineffective for decision-making. Dashboard design should be simple and accessible, and reflect your company's branding and identity. Ensuring your analytical dashboard is readable, usable and accurate is heavily reliant on following best practice dashboard design.

Modern Data Architecture for Telecommunications

In the wake of the disruption caused by the world’s turbulence over the past few years, the telecommunications industry has come out reasonably unscathed. There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. But digital transformation programs are accelerating, services innovation around 5G is continuing apace, and results to the stock market have been robust.

Managing agents in Edge Flow Manager

This video explains the Agent Manager view introduced with the 1.4 release. The main goal of this view was to give the user better understanding and more control over the agents in the system. Monitoring individual agents’ health becomes easier as you can see rich details about them. From the Agent Details view, you can also request and download debug logs from the agents, so in case of any issues you don’t need to log in to the agent’s environment. The highly customizable main table and the different tabs (details, alerts, commands and properties) are explained in detail.

Five Reasons for Migrating HBase Applications to Cloudera Operational Database in the Public Cloud

Apache HBase has long been the database of choice for business-critical applications across industries. This is primarily because HBase provides unmatched scale, performance, and fault-tolerance that few other databases can come close to. Think petabytes of data spread across trillions of rows, ready for consumption in real-time.

How the modern data stack helps analysts avoid dashboard hell

The modern data stack promises greater agility for data teams, best of breed capabilities, and gaster time to market. But does it elevate the analyst's & analytics engineer career and bring joy back to their daily job? Dead end dashboards on a modern cloud data platform pigeon-holes analysts into repetitive, low-value work. Join ThoughtSpot co-founder and CTO Amit Prakash and Chief Data Strategy Officer, Cindi Howson for a real-time deep dive on how the modern data stack is elevating the analyst and empowering business leaders.

The History of BI Dashboards

Technology is always evolving, and so is the way we use it to collect and analyze data. From humble spreadsheet beginnings to fully automated business monitoring and AI-powered analysis, the range of analytics tools on offer today is astounding to consider. The business intelligence dashboard is one such option. It has existed for decades as a tool for organizations to monitor and analyze operational data - and it's not quite dead yet.

Expert Panel: Challenges with Modern Data Pipelines

Modern data pipelines have become more business-critical than ever. Every company today is a data company, looking to leverage data analytics as a competitive advantage. But the complexity of the modern data stack imposes some significant challenges that are hindering organizations from realizing their goals and realizing the value of data.

Tackling Cloud Complexity with Standardization at VMware Explore

Cloud complexity is an inevitability. Regardless of where an organization may be on their cloud journey – on-prem, in the public cloud, or managing an expanding hybrid cloud – the reality is managing the enterprise isn’t getting any easier. Demand continues to rise for greater access to more data across the organization to do things like run analytics and machine learning and to automate more processes.