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
    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
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: 5 Rules for Better Sales Analytics
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 > CRM > 5 Rules for Better Sales Analytics
Big DataBusiness IntelligenceCollaborative DataCRMData ManagementData MiningData VisualizationDecision ManagementExclusiveKnowledge ManagementMarketingMarketing AutomationModelingPredictive AnalyticsSoftwareSQLStatisticsWorkforce Analytics

5 Rules for Better Sales Analytics

BrunoAziza
BrunoAziza
4 Min Read
5 Rules for Better Sales Analytics
Photo by AS Photography on Pexels (https://www.pexels.com/photo/documents-on-wooden-surface-95916/)
SHARE

Sales performance isn’t just about sales numbers and sales activities.  Sure, trends in sales success are deeply tied to sales information, but many other actions support the impact of your sales team: from prospect behavior in the marketing funnel to sales development performance to the processes applied in the company’s financial and customer support practices.

Sales performance isn’t just about sales numbers and sales activities.  Sure, trends in sales success are deeply tied to sales information, but many other actions support the impact of your sales team: from prospect behavior in the marketing funnel to sales development performance to the processes applied in the company’s financial and customer support practices.

Your sales team might like to think they’re the most self-sufficient kids on the proverbial block, but the reality is that their performance metrics are linked to everything from marketing activity to finance and support follow-through. 

This is why myopic sales metrics can be dangerous—if the only performance data you’re looking at is data generated though your sales team activities – you might be missing the bigger picture. 

More Read

Data Mining Guest Post: Eric Greenwood
Data Mining Guest Post: Eric Greenwood
How Data Mining Tools Break Through Misconceptions To Optimize SEO
Conflict and Surprise: Big Data’s Big Storytelling Potential
Essential Proxy Selection Tips For Web Data Mining
4 Data Analytics Tools for Property Market Valuations

Combine Sales, Marketing, Finance, and Support Data, Easily

You need sales performance data, you need it now, and you don’t have time to learn Python scripting or SQL query language. 

 Typical Customer Relationship Management (CRM) packages like Salesforce.com store data about leads and opportunities.  Using build-in reporting capabilities in Salesforce.com, you’ll be able to understand how many contact attempts your sales representative made, how long it took them to turn a promising lead into a contact, and a host of other data about your leads and their organizations.  That’s a lot of information, but it’s not the only relevant information.  

Could you answer the following without having to call IT?

  • Which content is most likely to bring in leads that turn into business? 
  • Is there any correlation between Google keywords and higher win rates? 
  • What support practices allow you to maximize customer value?
  • Which customers make the best opportunity based on past orders?

If you are able to answer each of the above, you are in the top percentiles of marketing and sales organizations.  The vast majority of companies though find it difficult to gain full visibility, despite the fact that the answers to these questions could mean massively positive changes to business strategy. 

Bottom line: Rather than try to charm a member of your engineering or IT team into helping you create a one-time report, consider a solution that lets you combine and merge data from a variety of sources and formats.  If your organization is like most, you might find yourself working with data from Google Analytics (Advertising/Marketing), Salesforce.com (Sales), Intuit Quickbooks (Finance), Zendesk (Support), and other conventional data sources such as Microsoft Excel, Access or a structured databases like SQL Server, MySQL, Oracle. 

Download the full report to read the rest of this article, and visit SiSense.com to learn more about our custom dashboarding and data visualization software.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

How Great Content Moves Through A Marketing Ecosystem -- AI-generated illustration
How Great Content Moves Through A Marketing Ecosystem
Exclusive Infographic Marketing
What Your Brand Misses That Data Reveals -- AI-generated illustration
What Your Brand Misses That Data Reveals
Big Data Exclusive Infographic
5 Common Mistakes Businesses Make During the Risk Assessment Process -- AI-generated illustration
5 Common Mistakes Businesses Make During the Risk Assessment Process
Business Intelligence Exclusive Risk Management
Protecting Brand Reputation During Digital Expansion -- AI-generated illustration
Protecting Brand Reputation During Digital Expansion
Business Rules Infographic

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Image
Big DataData ManagementHadoopPolicy and Governance

The Data Lake Debate: Conclusion (With Apologies to the Rolling Stones)

4 Min Read
The Next Next Big Thing
Big Data

The Next Next Big Thing

8 Min Read
data analytics in sports industry
Big Data

Here’s How Data Analytics In Sports Is Changing The Game

6 Min Read
5 Questions to Ask as You Prepare for a Compliance Audit
Cloud ComputingRisk ManagementSecurity

5 Questions to Ask as You Prepare for a Compliance Audit

8 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
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?