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
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
    data driven risk management in heatlhcare
    How Data Analytics Is Changing Healthcare Risk Management
    17 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Some considerations when looking at 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 > Big Data > Data Visualization > Some considerations when looking at dashboards
Business IntelligenceData Visualization

Some considerations when looking at dashboards

LyndsayWise
LyndsayWise
4 Min Read
SHARE

The following is a list of some considerations related to dashboard evaluations. It provides an initial set of considerations.

Dashboard Purpose

By starting with the business pain, decision makers can limit their dashboard choice to one that meets their specific business requirements.  For example, some companies require operational dashboards to help them manage their call centers, whereas other businesses use dashboards to make sure that overall performance is on track and to flag potential discrepancies in set metrics.

More Read

Ignoring Facts and Hoping for a Miracle Cure
Dashboard Design and Delivery Worst Practices
Why Discovery Really Matters
Overlap in the Business Intelligence / Predictive Analytics Space
Federal Government Working to Promote Faster Adoption of Cloud Computing

Current IT/BI Environment

What currently exists in-house may affect the organization’s dashboard choice.  Some dashboards integrate easily with many data sources, while others base their platforms on Microsoft integration.  This means that some solutions may not be available to organizations depending upon their current IT environment.  In addition, companies with a mature BI infrastructure may want to continue to expand their current platform because it falls within their comfort zone and current framework, as opposed to evaluating the best alternatives.

Data Sources

Aside from technical environments that may become inhibitors …

The following is a list of some considerations related to dashboard evaluations. It provides an initial set of considerations.

Dashboard Purpose

By starting with the business pain, decision makers can limit their dashboard choice to one that meets their specific business requirements.  For example, some companies require operational dashboards to help them manage their call centers, whereas other businesses use dashboards to make sure that overall performance is on track and to flag potential discrepancies in set metrics.

Current IT/BI Environment

What currently exists in-house may affect the organization’s dashboard choice.  Some dashboards integrate easily with many data sources, while others base their platforms on Microsoft integration.  This means that some solutions may not be available to organizations depending upon their current IT environment.  In addition, companies with a mature BI infrastructure may want to continue to expand their current platform because it falls within their comfort zone and current framework, as opposed to evaluating the best alternatives.

Data Sources

Aside from technical environments that may become inhibitors to selection choice, it is important to note that not all dashboards are created equally.  Some enable decision makers to combine disparate data sources within one chart, while others may offer the ability to compare separate data sources on the same dashboard, but not within the same chart, graph, or chart.  Consequently, organizations should look at what types of data they are using and whether data from multiple sources have to be combined to gain the desired insights.

Timeliness

When the information is required may change the overall solution choice.  For instance, some dashboards stream data from operational systems regularly to help managers look at information in near real-time, whereas other dashboards grab data from the data warehouse and represents aggregates of information to identify sales over time, or to monitor key performance indicators.

End User Interface

The last consideration is the type of people using the dashboard.  Depending on who will be accessing the data, what interactivity requirements they have, and their level of technical savvy, the solution choice will differ.  Luckily, solutions exist for all types of end users.  Some businesses want their employees to develop their own analytics and general dashboards, whereas others require tightly controlled access to information.  Either way, depending on what information people access, how comfortable they are interacting with technology, and changing needs over time, the type of solution will be affected by who is accessing the solution.

Link to original post

TAGGED:dashboardsdata managementuser interface
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Comparing 5 Top Compliance Training Providers for Large Businesses -- AI-generated illustration
Comparing 5 Top Compliance Training Providers for Large Businesses
Business Intelligence Exclusive
11 Best AI Tools for Critical Thinking in Research -- AI-generated illustration
11 Best AI Tools for Critical Thinking in Research
Artificial Intelligence Exclusive
Top 7 GTM Intelligence Tools with MCP Integration in 2026 -- AI-generated illustration
Top 7 GTM Intelligence Tools with MCP Integration in 2026
Artificial Intelligence Exclusive News
What Is Fine Tuning AI Models And When Should You Actually Do It? -- AI-generated illustration
What Is Fine Tuning AI Models And When Should You Actually Do It?
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

BI for Baby: Dashboards to Track Your Child’s KPIs (And The Rest of Us)

2 Min Read

Interview- BI Dashboards dMINE Sanjay Patel

12 Min Read
protect your data
Privacy

Is It Possible to Fully Protect Your Data Nowadays?

7 Min Read
data processing
Data Lake

Improving Data Processing with Spark 3.0 & Delta Lake

12 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 chatbot
How AI Website Chatbots Improve Customer Support and Lead Generation
Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?