Who Uses Data Analytics for Business, Anyway?

The rise of self-service analytics means data is more accessible than ever. Business intelligence used to be the dominion of specialists who knew how to work complex BI systems. But now, end users across an organization can get what they need with a single click. Tools include:

  • Relational Search Engine: Analyzes billions of rows of data and creates interactive visualizations based on simple search queries.
  • SpotIQ AI Engine: Uses advanced algorithms to return insights from structured data. Users assign them thumbs up or down ratings based on relevancy to refine the machine-learning algorithm over time.

Who uses data analytics for business, anyway? Here are just a few types of end users who can benefit from a streamlined business intelligence process.

Leadership and Executive Team

Keeping an eye on the big picture hinges on an ability to monitor the details. What if you’re currently overlooking a revenue-driving opportunity? What are customers’ biggest complaints about your company? Decision-makers within an organization can use search- and query-driven analytics to find out.

Use cases:

  • Preparing visual models before a pitch or board meeting
  • Creating dashboards for intra-company use
  • Uncovering hidden performance trends by location or branch

Marketing Team

Marketing teams need to understand customer behavior, campaign engagement and more.

Use cases:

  • Segmenting customers to learn about behavior and value
  • Determining the ROI of various campaigns and channels
  • Sharing embeddable reports and dashboards in clients’ workflows

Human Resources Team

HR analytics tools to look closely at hiring, turnover, training and more can have a positive effect on company culture and revenue.

Use cases:

  • Making data-driven hiring decisions based on existing and future talent gaps
  • Identifying high turnover rates by location or department
  • Tracking employee training programs and accreditation over time

Sales Team

Accessible sales intelligence allows teams to capitalize on opportunities, save time, and increase total sales volume.

Use cases:

  • Creating instant charts or graphs based on data insights, no spreadsheets required
  • Identifying top-performing clients and vendors to refine sales targets
  • Discovering insights related to product performance and upsells

Customer Service Team

Your customer service team can use data to better understand the customer experience from start to finish.

Use cases:

  • Segmenting customer complaints by location and reason for a targeted approach to reducing customer churn
  • Tracking customer service ROI by channel, from phone to live chat
  • Creating a customer service dashboard for simple remote collaboration

Learn more about data analytics for business from ThoughtSpot here.



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More About Data Analytics

  • What Modern Data Analysis Can Do for Life Sciences

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  • How People Analytics Aids HR & Recruitment

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  • How to Broaden Data Access without Sacrificing Governance

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  • A Tale of Two Business Analysis Tools: Relational Search and SpotIQ

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  • Why the Best Data Mining Tools Are Automated

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Why ThoughtSpot?

Now anyone can use search and AI to find hidden insights in your company data. Put the most innovative technologies from across the cloud ecosystem in the hands of your entire team with consumer-grade analytics.




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