When selecting BI and data analytics software, buyers prioritize features that enhance user experience, data privacy, and integration capabilities.
As organizations continue to integrate business intelligence (BI) and data analytics tools into their operations for better decision-making, the demand for these solutions has surged. Buyers are seeking platforms that not only analyze data but also provide seamless integration, strong security, excellent usability, and scalability. Here are the top features that buyers prioritize when choosing BI and analytics software.
1. User experience (84%)
A strong user experience (UX) is critical for ensuring adoption across all levels of an organization. Buyers prioritize:
- Intuitive interfaces: Simplified dashboards and navigation for non-technical users.
- Customizable layouts: Personalizable options to suit individual roles and preferences.
- Ease of learning: Tools that minimize the training curve for employees.
2. Training and support services (84%)
Comprehensive training and reliable support are key to getting the most value out of BI tools. Buyers value:
- Onboarding programs: Step-by-step guidance for new users.
- Technical support: 24/7 help desks and detailed documentation.
- Knowledge sharing: Access to webinars, tutorials, and user forums.
3. Data privacy (83%)
Data privacy is a non-negotiable feature in today’s regulatory landscape. Buyers prioritize:
- Compliance: Adherence to GDPR, HIPAA, and other data protection laws.
- Encryption: Securing data at rest and in transit.
- Access controls: Role-based permissions to limit access to sensitive information.
4. Reporting capabilities (83%)
BI platforms are evaluated on their ability to generate actionable, insightful reports. Buyers look for:
- Real-time reporting: Access to live data updates for quick decision-making.
- Customizable templates: Tailored reports to meet specific business needs.
- Visual storytelling: Data presented in engaging and easy-to-understand formats.
5. Seamless integrations (82%)
Buyers need software that works harmoniously with their existing tech stacks. They seek:
- API support: Connectivity with CRM, ERP, and other enterprise tools.
- Data import/export: Smooth transfer of data between platforms.
- Workflow automation: Integrations that streamline repetitive tasks.
6. Scalability (82%)
As organizations grow, their BI tools need to scale with them. Buyers want:
- Elastic computing: The ability to scale resources up or down as needed.
- Multi-user support: Accommodating more users without performance loss.
- Big data compatibility: Handling large datasets efficiently.
7. Cybersecurity (81%)
With increasing cyber threats, robust security features are essential. Buyers emphasize:
- Threat detection: Identifying and mitigating potential vulnerabilities.
- Secure cloud environments: Ensuring that distributed data is protected.
- Authentication: Multi-factor authentication (MFA) for added security.
8. Distributed Cloud (81%)
Modern BI solutions often utilize distributed cloud environments. Buyers value:
- Global accessibility: Ensuring remote teams can access data without latency.
- Resilience: Reducing the risk of outages by distributing workloads.
- Cost efficiency: Paying only for the resources used.
9. Automation, AI, and Machine Learning (79%)
Advanced technologies like AI are no longer optional for modern BI platforms. Buyers focus on:
- Predictive analytics: Forecasting future trends with machine learning.
- Automated insights: Identifying patterns and generating recommendations.
- Natural language processing (NLP): Simplifying complex data queries.
10. Unbundling Features for Tailored Pricing (74%)
Flexible pricing options that allow buyers to pay for only the features they need are increasingly important. Buyers appreciate:
- Modular pricing: Selective feature adoption based on specific needs.
- Subscription models: Monthly or annual plans that provide flexibility.
- Scalable costs: Adjusting pricing as the organization grows.
Conclusion
As businesses become more data-driven, the selection of BI and analytics software becomes a strategic priority. By prioritizing features like user experience, data privacy, scalability, and advanced AI capabilities, buyers can ensure they choose platforms that not only meet their immediate needs but also position them for future success.
For software vendors, understanding these priorities offers a roadmap to developing solutions that resonate with today’s buyers and foster long-term partnerships.
