How Enterprises Can Secure Customer Data for Analytics

As businesses increasingly rely on data for decision-making, maintaining control over that data has become a critical priority. Many analytics platforms store sensitive information in third-party silos, creating duplication and reducing transparency. Enterprises now realize that without full control over their data and one single source of truth, their governance, security, and privacy are all compromised.

The lack of visibility into how insights are generated from third-party data silos—often through opaque, “black box” processes—raises serious doubts about the integrity of those insights. Without a direct connection to the data, it’s nearly impossible to trust the analytics produced. Data security isn’t just about compliance; it’s about ensuring that the insights you rely on are accurate and actionable.

Customer Data Security: Why Traditional Solutions Fall Short

Many analytics platforms store data in proprietary infrastructures or third-party silos, enabling quick querying but compromising security in the process. This approach may save time in the short term, but it can create long-term vulnerabilities for enterprises.

Here’s where traditional solutions fall short:

  • Data Duplication: Storing data outside your warehouse introduces multiple copies, increasing the risk of breaches.
  • Complex Data Protection: Special care must be given to protect PII (Personally Identifiable Information) from leaking. Privacy and compliance is a nightmare to guarantee.
  • Black Box Insights: Using platforms that hide the data processing and analysis mechanisms creates a lack of trust in the accuracy of your insights.
  • Fragmented Data: Data scattered across silos prevents a cohesive understanding of your customers’ complete journey through analytics, leading to inconsistent insights.

Recent statistics underscore the risks: 61% of companies have reported being breached due to vulnerabilities in third-party systems, and 80% of organizations have experienced a third-party data breach (Source: Prevalent). Enterprises are increasingly aware that they can’t maintain full data governance if their sensitive information is replicated and stored in third-party systems they don’t control. The lack of visibility into how data is processed also creates problems for organizations trying to ensure integrity in their reporting.

The Key Elements of Strong Data Security and Integrity

Focusing on customer data security allows businesses to address common risks, such as unauthorized access, data breaches, and regulatory violations. Here’s how securing your data benefits enterprises—from travel and hospitality brands, to ecommerce and media:

  • Data Control: You keep data in your own warehouse—under your data governance preferences—preventing unnecessary exposure and duplication.
  • Transparency: Full access to the data processing methods means you can trust the insights your business relies on.
  • Compliance Assurance: Adhering to industry standards like GDPR helps mitigate the risk of non-compliance and associated penalties.

Without data security, your insights can become unreliable, undermining decision-making across your organization. Ensuring that the data used for analytics is secure, transparent, and compliant isn’t just about protecting your business—it’s about making informed, accurate decisions.

How Kubit Protects Data Security and Privacy

Unlike traditional platforms that move or duplicate your data, Kubit keeps your data where it belongs—in your data warehouse. By querying the data directly rather than creating copies, Kubit reduces the security risks that come with third-party storage and gives you full transparency over your analytics process. Kubit is SOC2 Type 2 compliant, which ensures that sensitive data is protected through rigorous security controls.

With Kubit, you get:

  • Secure Analytics: No unnecessary data duplication, no third-party silos—just secure, direct access to your data.
  • Full Visibility: You can see how data is processed and understand how insights are generated.
  • Compliance Ready: Kubit is built to meet GDPR and other data privacy regulations, giving you peace of mind.

Kubit’s approach to customer data analytics security ensures that your organization has the control, transparency, and compliance necessary to make confident decisions backed by secure data.

Securing Customer Data for Accurate, Reliable Analytics

When it comes to customer data analytics security, the risks of relying on platforms that store or duplicate your data in third-party systems are clear. Without proper security, transparency, and control, your data can’t be trusted to drive decisions. By leveraging a solution like Kubit, which keeps your data in your warehouse and provides full visibility, you can protect your customer data while maintaining the integrity of your analytics.

Kubit Lumos Unveiled: AI-Powered Analytics for Faster, In-Depth Insights

LOS ALTOS, March 18, 2025 – Kubit, a leading customer journey analytics platform, has announced the launch of Kubit Lumos, an AI-powered analytics engine designed to revolutionize how enterprises extract value from their existing data warehouse.

Kubit Lumos leverages AI, natural language processing (NLP), and machine learning to streamline analytics reporting, optimize workflows, and ensure data quality—equipping product and data teams with in-depth, actionable insights to optimize product performance and the customer experience. 

“Kubit Lumos is a game-changer for organizations looking to bridge the gap between complex data and decision-making,” said Alex Li, CEO of Kubit. “By embedding AI-powered analytics directly into our flexible and transparent platform, we’re helping teams make smarter, faster, and more confident business decisions—without the burden of data silos, rigid data models or expensive engineering resources.”

Core Functionality of Kubit Lumos:

  • Data Insights: Highlight key trends and insights from reports with AI-generated summaries, delivering meaningful context and helping you spot details at a glance.
  • Intuitive Language: Unlock deeper insights into your data with Natural Language Processing, simplifying the process of finding and understanding the insights you need.
  • Optimize Workflows: Identify repetitive queries, receive suggestions on the next best actions, and get recommendations for relevant saved entities.
  • Ensure Data Quality: Safeguard your data quality with query efficiency reports and real-time alerts for admins to address data issues promptly. 

With Kubit Lumos, enterprises gain the power of AI without losing control of their data. Unlike traditional analytics tools that require data extraction, Kubit keeps customer journey insights directly within the source data infrastructure, ensuring full transparency, governance, and flexibility.

“Kubit Lumos ensures teams have access to trusted, AI-driven analytics while maintaining full visibility and confidence in their metrics,” added Li. 

To learn more about Kubit Lumos, visit their website

About Kubit

Kubit is the leading Customer Journey Analytics platform for enterprises. Through a revolutionary warehouse-native approach, Kubit empowers teams with self-service insights, rapid decision-making, and full transparency without engineering dependencies or vendor lock-in.

Unlike incumbent solutions, Kubit eliminates data silos and black boxes, allowing enterprises to analyze customer behavior directly from their existing data infrastructure like Snowflake, BigQuery, or Databricks. Kubit provides the flexibility to unlock actionable insights from custom data models with both clickstream events and operational data, without compromising governance or control.

Enterprises like Paramount, TelevisaUnivision, and Miro trust Kubit not only for its agility and reliability but also for its unmatched customer support with expert guidance and a customer-first approach that ensures success at every stage.