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.
- Preparing visual models before a pitch or board meeting
- Creating dashboards for intra-company use
- Uncovering hidden performance trends by location or branch
Marketing teams need to understand customer behavior, campaign engagement and more.
- 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.
- 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
Accessible sales intelligence allows teams to capitalize on opportunities, save time, and increase total sales volume.
- 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.
- 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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A Tale of Two Business Analysis Tools: Relational Search and SpotIQRead more
Why the Best Data Mining Tools Are AutomatedRead more
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