DATA SOLUTIONS
BY ROLE & INDUSTRY
Our bespoke data consulting engagements are designed to provide tailored solutions that empower your teams to hit their goals with self-service insights and optimal performance. We partner with your team to understand your specific context, technology stack, and objectives, delivering practical data solutions that drive ROI.
MARKETING ANALYTICS
Marketing teams today are drowning in data but starving for insights to increase ROI. Our consulting engagements help you cut through the noise, achieve a holistic view of your marketing performance, and optimize campaigns.
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Typical Goals for which Marketing Teams Engage Qbiz:
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Unified Marketing Data Hubs: Building integrated data pipelines to consolidate data across channels and ecosystem tools for a single source of truth.
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Advanced Customer Segmentation: Developing sophisticated segmentation models based on behavior, demographics, and engagement to enable more targeted and personalized campaigns.
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Campaign Performance Optimization: Implementing self-service dashboards to monitor campaign effectiveness and optimize spend across channels.
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Predictive Analytics for Customer Marketing: Developing models for churn prediction, lead scoring, next-best-action, and online product recommendations to drive revenue.
PRODUCT ANALYTICS
Product teams need a deep understanding of user behavior across their multiple channels, platforms, and devices to build better products. Our bespoke consulting helps you unlock insights into how users interact with your product, identify what investments drive success vs. don't, so you can drive product-led growth.
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Typical Goals for which Product Teams Engage Qbiz:
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Comprehensive User Journey Analysis: Tracking and analyzing user behavior across the entire product lifecycle.
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Feature Adoption and Engagement Analysis: Understanding how users interact with specific features, identifying high-value features, and uncovering opportunities to drive adoption of underutilized functionalities.
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Product Usage and Performance Monitoring: Building real-time dashboards and alerts to monitor key product metrics, identify performance issues, and understand the impact of releases.
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Predictive Analytics for Product: Developing models for churn prediction, user segmentation based on behavior, and forecasting future usage patterns to inform product roadmap and prioritization.
Sales ANALYTICS
Sales Operations teams rely on clear insights to drive revenue and improve efficiency. Our tailored consulting helps you optimize your sales processes, manage sales teams more efficiently, and empower your sales force with actionable intelligence.
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Typical Goals for which Sales Operations Teams Engage Qbiz:
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Sales Performance Management: Building dashboards and reports to track key sales team KPIs, identify traits of top performers, and accurately calculate sales commissions.
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Lead Scoring and Prioritization: Developing predictive models to score leads based on their likelihood to convert.
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Sales Forecasting and Trend Analysis: Implementing models to forecast future sales performance, identify trends, and inform strategic sales planning.
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Customer Segmentation for Sales: Developing targeted customer segments to enable personalized sales approaches and improve win rates.
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RETAIL ANALYTICS
From online interactions to in-store experiences, our bespoke data consulting empowers retail analytics teams to leverage data for a competitive edge, driving sales, improving customer loyalty, and optimizing operations.
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Typical Goals for which Retailers Engage Qbiz:
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Omnichannel Customer Data Integration: Unifying customer data from e-commerce platforms, brick-and-mortar stores, mobile apps, and marketing channels for a holistic customer view.
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Customer Segmentation and Personalization: Developing granular customer segments based on purchasing history, browsing behavior, demographics, and loyalty program data.
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Demand Forecasting and Store Inventory Optimization: Implementing predictive models to forecast demand for merchandise by store and SKU, optimize inventory levels, reduce stockouts, and overstocking.
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Price Optimization and Promotion Effectiveness: Analyzing sales data and promotional performance to optimize pricing strategies.
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Product Recommendations: Boost sales with robust and scalable, custom-tailored product recommendations for your digital channel.s
CONTACT CENTER OPERATIONS
Contact center operations are a critical touchpoint for customer experience and a significant cost factor on the balance sheet. But as agent interactions span multiple channels and tools, it's hard to get reliable metrics on what's working vs. not. Despite all the reports from service desk vendors, it's hard to see the forest for the trees.
Typical goals for which operations teams engage Qbiz include:
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Omnichannel Customer Interaction Analysis: Integrating and analyzing data from phone calls, emails, chat, service desks, and other channels to gain a holistic view of customer interactions.
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Agent Performance Optimization: Analyzing agent metrics (handle time, resolution rate, customer satisfaction scores) to identify areas for improvement and develop targeted training programs.
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Call Center Flow and Efficiency Analysis: Understanding call routing, wait times, and resolution paths to identify bottlenecks and optimize operational efficiency.
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Predictive Analytics for Contact Centers: Developing models for predicting call volume, identifying at-risk customers, and optimizing staffing levels to improve service quality and reduce costs.
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BESPOKE DATA SOLUTIONS
Didn't see what you were looking for? Contact us to speak with a Qbiz Data Consulting expert today. In our decade-long history of partnering with the world's most innovative brands, we've worked on almost any imaginable data project to make our customers successful.
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