We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers -- AI-generated illustration
    What Kind of Problem-Solving Distinguishes Data Analysts From Software Engineers
    7 Min Read
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    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
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Business Intelligence and Your Business: Ignorance Is Not Bliss
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 Mining > Business Intelligence and Your Business: Ignorance Is Not Bliss
AnalyticsBig DataBusiness IntelligenceCollaborative DataData ManagementData MiningData VisualizationDecision ManagementITPredictive AnalyticsUnstructured Data

Business Intelligence and Your Business: Ignorance Is Not Bliss

Ray Major
Ray Major
4 Min Read
Business Intelligence and Your Business: Ignorance Is Not Bliss
Illustration generated with FLUX.2 [klein 4B] via Cloudflare Workers AI.
SHARE

 

Last month we talked about determining whether your company is ready to deploy business intelligence ‘intelligently.’ I mentioned that there’s a considerable gap between the cost to implement BI and the value gleaned from those efforts – which isn’t great for anyone whose bread-and-butter comes from demonstrating measurable results and ROI.

Contents
  •  
  •  

 

Last month we talked about determining whether your company is ready to deploy business intelligence ‘intelligently.’ I mentioned that there’s a considerable gap between the cost to implement BI and the value gleaned from those efforts – which isn’t great for anyone whose bread-and-butter comes from demonstrating measurable results and ROI.

And as a quick refresh, deploying BI intelligently begins with assessing your organization’s BI goals – something a lot of companies don’t do well. It’s critical to link BI to your company’s goals/key initiatives – this helps insure the relevance of decisions made, actions taken based on your BI system.

So let’s focus now on tactics for linking BI to corporate goals.

More Read

From Decision Support Systems to Decision Management Systems
From Decision Support Systems to Decision Management Systems
4 Top Advanced Web Analytics Tools To Get More Out Of Your Website
Top 5 Reasons “Data Geek” Jobs are on the Rise
Is There One “Right” Strategy to Implement Business Intelligence?
Data Visualization Can Help You Understand What’s Working and What’s Not in Your New Business

If your corporate goals are to increase your customer retention rate and improve customer service, how do you measure that? One way is by creating business-level metrics.

Business-level metrics are those things that we can start to measure that support Key Risk Indicators (KRIs) and Key Performance Indicators (KPIs). In order to do that, we have to take a look at business processes you could actually change in order to measure whether you’re achieving our goals.

To address the time lag in customer resolution you may decide that you want to achieve a 24-hour resolution cycle. In order to do that, you also decide that you want to reduce customer wait times from 20 minutes to two minutes, and that you also want to put more information online so people can proactively take care of their problems. You want to get all of the documentation online in five months, which means that each month you need to put up 20% of that content. These goals are now tied to your corporate goals, and become the metrics you want to measure.

Now you need to look at your data sources. Where is that data that you need allowing you to measure and support these metrics? Where does it reside? If your target is a 24-hour resolution, you must have some time of kind of calculation from the CRM system that tells you when a customer ticket was opened and when it was closed. Putting more information online at a certain rate per month also means you need to know where that information is – and this will necessitate having an inventory plan. You need to know what you have so you know what order to put it in and how much is actually there to determine what equals 20% each month. And if your goal is a two-minute wait time, you’ll then need to tap into the phone system data in order to measure that.

Bottom line?

Once you have identified the data sources needed, we can use those to impact your business processes. You can measure those business processes using your performance indicators and result indicators – and those in turn support your KRIs and KPIs, which support your critical success factors and ultimately help you achieve your corporate goals.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Flat editorial illustration: The article's core relationship is workload-by-workload decision-making for cloud migration, where s
Which Workloads Should Move to the Cloud?
Cloud Computing Exclusive IT
Flat editorial illustration: The article positions data governance as a strategic board-level concern rather than a purely techni
Why Data Governance Is Becoming a Board-Level Business Priority
Big Data Exclusive Policy and Governance
Flat editorial illustration: The article argues that data annotation quality should be measured by inspectable gold sets, written
The Top Data Annotation Companies Are Separated by Proof of Quality, Not Headcount
Big Data Exclusive
Flat editorial illustration: The article's core relationship is the gap between raw bank-feed records and reliable subscription i
Subscription Trackers Have a Transaction Data Problem
Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Managing Unstructured Data: The Next BI Point of Emphasis
AnalyticsBest PracticesBig DataBusiness IntelligenceCloud ComputingData ManagementITMarketingMobilitySocial DataSocial Media AnalyticsUnstructured Data

Managing Unstructured Data: The Next BI Point of Emphasis

3 Min Read
3 Ways to Get Your Customers to Share More Data
Data Management

3 Ways to Get Your Customers to Share More Data

4 Min Read
Machine Learning Minimizes Fraud Risks of Online Payments
Data ManagementExclusiveMachine LearningPolicy and GovernanceRisk Management

Machine Learning Minimizes Fraud Risks of Online Payments

5 Min Read
EMR Market Trends: Cloud Computing and Economics
Cloud Computing

EMR Market Trends: Cloud Computing and Economics

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.

Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

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?