Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    predictive analytics risk management
    How Predictive Analytics Is Redefining Risk Management Across Industries
    7 Min Read
    data analytics and gold trading
    Data Analytics and the New Era of Gold Trading
    9 Min Read
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 8 Features of Successful Real-time Dashboards
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Business Intelligence > 8 Features of Successful Real-time Dashboards
Business Intelligence

8 Features of Successful Real-time Dashboards

JuiceAnalytics
JuiceAnalytics
5 Min Read
SHARE

Real-time dashboards — the kind that show up on a big screen in a call center — are an entirely different beast than your standard management dashboard. Their job is to support immediate decision-making. As a result, the information must be easy to interpret, alert users to problems, and make the next action obvious. In addition to key success metrics, real-time dashboards may show detailed data about the action “on the ground.”

There are a lot of ways this technology can be employed. It can work with LED technology, which is one of the reasons ledscreenrentals.net is thriving. However, there are other benefits as well.

Here are eight characteristics that can make a real-time dashboard effective:

  1. A summary status that indicates how things stand overall. Users need to be able to tell at a glance whether they should worry or not. Here’s a great example from the folks at Superblock. The “Is it going to rain?” site tells you the single most important thing you need from a weather report.
  2. Reflect a well-understood structure of the business. By the time you design a real-time dashboard, you should have a strong theory for how the pieces of the business fit together (i.e. the relationships between key measures, drivers, and available actions). For example, in the call center business, there are clearly defined success measures (e.g. wait time), a mathematical relationship between these measures and their underlying drivers (e.g. call volume), and known levers to address problems (e.g. staffing levels).
  3. Support quick diagnosis of problems. The data presentation should point directly to the likely source of the problem. Real-time dashboards aren’t the place for deep analysis or introspection into the drivers of the business.
  4. Simple data presentation. In my view, real-time dashboards aren’t the place for complex or advanced data visualizations. Imagine you were Napoleon and you had to use a half-completed version of this chart to make a battlefield decision in the next 5 minutes.
  5. Granular view of the “unit of action.” Real-time dashboards are often about tracking activity. It may be useful to show the raw data around these events in the form of a ticker, scroll or RSS feed. We use at a real-time tracker for our website called Sitemeter. It does a nice job of tracking the basic unit of action — visitors.
  6. Appropriate time window. Getting time right on an operational dashboard is critical. If the measures and trends represent too long a time period, users may not react to changes quickly enough. On the other hand, very small-time windows encourage frantic reactions to changes that may not represent real trends. Ideally, the dashboard should offer the ability to configure this time range and “freeze” a moment in time.
  7. Prominent but balanced alerts. Naturally, alerting users to problems is a central mission for real-time dashboards. The challenge (as always with alerts) is to balance between “the sky is falling” hysteria and “don’t worry, be happy” apathy. I’ve written before about alerts, but one item to emphasize is the need to show a sense of relative importance. Not all problems have the same impact on the business, and finding a way to communicate this relative importance is valuable.
  8. Point to specific action. If real-time dashboards are about identifying and responding to issues, the tool should point users to what they can do about a problem. This can be as simple as displaying the phone number of the right person to call.

Real-time dashboards can be ignorable, create mayhem, or drive great behavior in an organization. Thinking carefully about the design and functionality will make a huge difference.

More Read

Accenture study: Companies structured for gut-thinking, not analytics
Can good decisions have bad outcomes?
How “Big Data” Is Protecting the Enterprise Against Growing Social Risk
Data hostages: The emerging business model of Web 2.0
Oracle OpenWorld Update #2 – Oracle’s use of social media

Original Post Source.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

street address database
Why Data-Driven Companies Rely on Accurate Street Address Databases
Big Data Exclusive
predictive analytics risk management
How Predictive Analytics Is Redefining Risk Management Across Industries
Analytics Exclusive Predictive Analytics
data analytics and gold trading
Data Analytics and the New Era of Gold Trading
Analytics Big Data Exclusive
student learning AI
Advanced Degrees Still Matter in an AI-Driven Job Market
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Opportunities to meet me or hear me speak

4 Min Read

What Makes Dell’s VoC Program So Great?

2 Min Read

The New MDM-It’s Not What You Think!

3 Min Read
Image
AnalyticsBusiness IntelligenceData Management

BI Proves Its Worth in the Clothing Industry

4 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?