Introduction

Managing enterprise data can be overwhelming due to its volume and the associated security challenges. Enterprise analytics can benefit your business by unifying, organizing, and visualizing your data, driving informed decisions. In this blog, we’ll explain what enterprise analytics is, its benefits, key features of an enterprise analytics platform, and a few real-world examples.

What is enterprise analytics?

Enterprise analytics is the practice of analyzing an organization’s data, from all departments, teams, and systems, to drive informed business decisions. It helps organizations move beyond spreadsheets and manual reporting by offering live dashboards, future projections, and self-service data exploration for everyone, from executives to frontline workers.

Why enterprise analytics matters for businesses

Enterprise analytics empowers smarter, faster decisions by delivering real-time metrics for every business function, from sales to strategy. Here’s how it can transform your business.

• Better decision-making: Analytics helps you make choices based on facts and data, not guesses. It shows you what’s working and what’s not, so you can plan better.
• Improved collaboration: With enterprise analytics dashboards and reports, teams can see the same up-to-date information, which makes it easier to work together and stay aligned.
• Increased efficiency: Analytics software saves you time by automating reports and tracking. Your team can focus more on important work instead of collecting data manually.
• Cost savings: Analytics shows where money is being wasted and helps you spend smarter. It helps cut down on unnecessary costs.
• Competitive advantage: With real-time insights, your business can quickly respond to changes, stay ahead of trends, and beat the competition.

Now that we understand the benefits, let’s look at the features you need in an enterprise analytics platform.

Must-have features in an enterprise analytics platform

These key features will help you make an informed decision and set your business up for success.

Collaboration, sharing, and governance features

An analytics platform should provide secure collaboration and dashboard sharing. It should provide features for data governance, so only authorized people have access to data.

Dashboard creation and customization

A good platform lets teams build and customize dashboards without coding or other specialized knowledge. The use of a drag-and-drop tool lets everyone create dashboards intuitively.

AI-powered analytics and self-service features

Many modern platforms let users manipulate data independently using natural language queries. Generative AI features are capable of delivering instant visual or text answers.

Data connectivity and integration

The platform you choose should seamlessly connect to many data sources so that analysis can take place on all the data within your organization, regardless of where it’s stored.

Visualization and exporting

Choose a platform that simplifies complex data into clear visuals and allows easy report exports for sharing findings across the organization.

Embedding and deployment

Some platforms allow you to embed dashboards directly into apps or portals and offer flexible deployment options (cloud, on-premises, or hybrid). Evaluate your needs and choose the platform that matches your IT strategy.

Security and compliance

Ensure the platform has strong security controls, such as role-based access permissions and encryption. Assess your compliance requirements and compare them with what the platform offers as far as certifications of compliance.

How enterprise analytics is used by different industries

Enterprise analytics solves real challenges across many industries.

Retail

In retail, managers often face challenges like stockouts, overstocking, and shifting customer demand. Enterprise analytics helps overcome these issues by providing real-time metrics for inventory levels, product performance, and order fulfilment. With a retail inventory management dashboard, businesses can optimize stock, reduce waste, and better meet customer needs.

Finance

Financial institutions deal with challenges such as risk management, regulatory compliance, and profitability. Enterprise analytics helps monitor large volumes of transactions and loan data in real time. A loan performance dashboard tracks approvals, loan types, and rejection rates, enabling early risk detection and better lending decisions—improving compliance and profits.

Manufacturing

Manufacturers can struggle with production inefficiencies caused by equipment downtime and delays. Enterprise analytics enables better visibility into operations through real-time data. A production monitoring dashboard shows defect rates, equipment efficiency, and cost data, allowing predictive maintenance and smoother operations.

Education

Educational institutions often struggle to monitor student progress effectively and allocate resources efficiently. The challenge lies in identifying underperforming students early enough to intervene and promote academic success. Enterprise analytics empowers schools with a student performance analysis dashboard to visualize key metrics such as participation rates, exam scores, and student demographics. This can lead to improved student outcomes and better resource utilization.

Healthcare

In healthcare, hospitals grapple with the dual pressure of improving patient care and managing operational costs. The challenge includes handling patient readmissions, emergency room loads, and financial constraints. Enterprise analytics supports healthcare providers with a healthcare executive dashboard that tracks these metrics. This enables proactive patient care, optimized staffing, and reduced operational costs, ultimately enhancing patient outcomes and institutional efficiency.

These enterprise analytics use cases highlight how timely, actionable data drives success across diverse industries. With powerful business intelligence tools like Bold BI, organizations can harness enterprise analytics software to overcome critical challenges, unlock insights, and accelerate growth by turning data into meaningful actions.

Conclusion

Enterprise analytics empowers organizations to make smarter, faster decisions and stay agile in a changing market. Bold BI^® is an advanced, enterprise-grade analytics platform that lets you connect to 120+ data sources, create stunning dashboards, and analyze data with or without an AI-powered assistant.

Ready to unlock powerful insights and boost performance across your business? Try Bold BI out with a free trial and start improving your enterprise analytics strategy!

We are thrilled to announce our upcoming webinar, “Mastering Row-Level Security (RLS) in Bold BI: Secure Multitenant Data Access for Authenticated & Anonymous Users,” presented by Rajendran SP, Senior Product Manager at Bold BI^®. This webinar will take place on Thursday, April 17 at 10 a.m. ET. Register to secure your spot!

In this session, you will learn how row-level security in Bold BI enables organizations to provide personalized data experiences while ensuring robust security. The session will also focus on implementing RLS for both authenticated Bold BI users and anonymous users accessing dashboards through embedding.

Objectives

• Understanding RLS configuration: Learn how to effectively configure RLS for authenticated users, ensuring they see only the data relevant to their specific roles and permissions.
• Leveraging built-in filtering capabilities: Discover how to utilize Bold BI’s built-in user filtering capabilities and external parameters to further refine user-specific data access.
• Implementing group-based permissions: Explore how organizations can enforce RLS for anonymous users by allowing them to access embedded dashboards through group-based permissions, eliminating the need for extensive user management.
• Passing external parameters: Learn how to pass external parameters for dynamic data filtering, which allows for personalizing dashboard experiences.
• Best practices for security: Understand the best practices for securing embedded secrets to prevent unauthorized access and learn how to switch data sources dynamically based on custom attributes and filters.

Why you should attend

By attending this webinar, you will gain valuable knowledge that can help your organization:

• Optimize user experience: Discover how to personalize dashboard access for various user groups, ensuring that each user sees only the information pertinent to them, thereby improving engagement and decision-making.
• Enhance data privacy: As data privacy laws become strict, learning how to use Row-Level Security will help your organization follow the rules and lower the risk of data leaks.
• Professional insights: Learn insights from industry expert Rajendran SP on overcoming common challenges when working with row-level security in Bold BI.
• Enhance data security: Understand how to implement robust security measures that protect sensitive data while still providing users with essential insights.

Don’t miss this opportunity to enhance your understanding of row-level security in Bold BI. What are you waiting for? Register now to secure your place!

Start your Bold BI^® journey with a free trial and implement row-level security for secure data access in a multitenant environment. If you have any questions about this blog or the webinar, please leave a comment below. Alternatively, you can contact us through the Bold BI website or log in to submit your questions if you already have an account.

Introduction

We’re thrilled to announce the release of Bold BI^® 10.1.18, packed with cutting-edge features and enhancements for both self-service and embedded analytics. Featuring more secure AI integrations, expanded multitenant capabilities, and so much more, this version delivers significant improvements in performance and usability across Windows, Docker, Linux, Kubernetes, and Azure environments.

If you want to start using the new version right away, you can download it on our Bold BI account anytime. If you don’t have one, start a free trial today.

Let’s take a look at the release highlights!

AI enhancements

On-premises AI with flexible credentials

Now you can run AI entirely within your on-premises environment. Configure your own credentials for OpenAI or Azure OpenAI to ensure that sensitive data remains within your infrastructure.

Textual insights and dashboard summaries

Gain an instant, high-level understanding of your data with summarized textual reports on trends, forecasts, and recommendations. When your data can be represented in text, Bold BI can provide direct answers—no charts required.

Improved data source mentions

Use @mentions to target a specific data source and avoid conflicts when dealing with multiple similar sources within a single dashboard.

Data sources and Data Hub highlights

Shared databases in PostgreSQL

Simplify multitenant deployment by configuring a shared PostgreSQL database. This allows multiple tenants to pull data from a single, secure source.

Enhanced SSH support for MongoDB and MySQL

Bolster security with SSH tunneling in Bold Data Hub for both MongoDB and MySQL. This keeps your critical data protected while in transit.

Designer and server improvements

Dashboard versioning with comments

Easily track changes. When publishing a new version, you can now add descriptive comments, making it simpler to see who changed what and why.

Default groups for new users

Automatically assign newly added or imported users to a default group to simplify permission management and ensure everyone starts with the right access levels.

User-friendly dashboard navigation

We’ve enhanced the Button widget to pass filters and parameters when navigating between dashboards, reducing clicks and saving time.

Embedding enhancements

Anonymous embedding based on group permissions

Create more flexible embedded analytics experiences by letting anonymous users access dashboards with predefined group permissions—ideal for public or read-only views.

AI Agent and AI Copilot

We’ve renamed our AI Assistant to AI Agent in view mode and AI Copilot in design mode. This refined naming helps clarify the roles of these AI-driven features in your analytics workflows.

Updated embedding API

Be sure to use the updated JavaScript embed file (v10.1.18/boldbi-embed.js) and note the new way to initialize AI features in your embed code: you must now initialize it within the embedAiAssistant property.

Other improvements and minor fixes

In addition, we’ve introduced numerous security updates, performance optimizations, and bug fixes. Here are just a few examples:

• Performance: Upgraded jQuery and Bootstrap to address known vulnerabilities and improve load times.
• Security: Hardened script filtering across widgets and data connectors to protect your dashboards.
• Bug fixes: Resolved issues with random refresh failures in Azure table connectors, improved the Pivot Grid widget’s sorting capabilities, and corrected UI glitches in multitab dashboards.

For a full list of all the new features, enhancements, and bug fixes, visit our release history page.

Conclusion

We hope these updates in Bold BI^® 10.1.18 will make your analytics process smoother, faster, and more secure. If you’re ready to get started with Bold BI, sign up for a free trial on our website. If you have any questions or need assistance, feel free to reach out through our website or log in if you already have an account.