Analytics for the Future: Data-Led Growth

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Data-Led Transformation for Growth

  • Resolve business challenges and complexity through the power of data. Automate and deliver critical insights to the relevant stakeholders.
  • Using RubiCube, extend the functionality of CRMs, POS systems and ERPs like Sage Intacct, Sage 300, MS D365, and NetSuite with AI/ML.
  • With modularity, RubiCube is available on-premises or in the cloud with an implementation time of less than 36 hours.

Features

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Data Lake

Weave multiple formats (structured/unstructured) of data together for a consolidated view at a single data lake for data lifecycle optimization.

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Predictive Analytics

Blend statistical analysis with historical data through the power of AI/ML. Predict accurate demand-supply numbers for your customer’s business.

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Data Security

Minimize data leaks and threats by keeping functional and crucial business data on-premises and having the business solutions on the cloud.

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Multi-Source Data
Collection

Data collection and data blending from different sources help bring all valuable data to one place for further investigation and examination of actionable insights into the business.

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Automated Data
Integration

Eliminate manual integration practices by enabling businesses to leverage automated integration for combining, managing and deriving insights from data assets.

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AI-Powered Push Notifications

Automate data delivery directly to the desk by eliminating login procedures and the need to access multiple systems. Businesses can have transparency over their functioning and take faster decisions.

Benefits

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Report Automation

Automate the creation and updating of reports over a specific time interval without manually triggering the system to derive relevant and valuable information.

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Demand Forecasting

Predict demand and purchases using historical data patterns, current trends and competition to make informed decisions on supply and plan ahead.

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Sales Forecasting

Use data-informed decision-making statistics to accurately predict sales capacity over different periods to help you plan materials and forecast revenue.

Insights

Case Study

Building Chatbots with Microsoft CoPilot to Enhance Tech Support Efficiency

Introduction About the Client Our client, a Boba Tea Franchise, sought to enhance its technical support operations by...

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Blog

Securing Data with AI: Encryption and Access Control in Analytics

Data is your greatest asset. But is it secure? Businesses across industries rely on analytics to drive decisions, optimize...

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Blog

Remote Engineering Teams: Best Practices for Global Collaboration

The digital age has fundamentally reshaped the way we work, and nowhere is this more evident than in the...

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FAQ

RubiCube seamlessly integrates data from CRM, ERP, marketing automation platforms, and other business systems to create a comprehensive, real-time view of customer interactions and business performance. By leveraging robust ETL (Extract, Transform, Load) processes, APIs, and data connectors, it eliminates silos and ensures smooth data flow across systems.

Our solution automates data analytics through extraction, transformation, and synchronization, reducing manual effort and minimizing errors. Through AI-driven data mapping and real-time updates, RubiCube ensures data accuracy, consistency, and efficiency, helping businesses make faster, data-driven decisions. Automation data integration ensures CRM enhancement, saves time, and ensures accurate insights.

RubiCube uses machine learning, predictive modeling, and AI-powered analytics to uncover hidden patterns, identify trends, and generate actionable insights. ERP integration along with multi-channel data integration helps businesses optimize operations, anticipate customer needs, and drive strategic growth.

By integrating and analyzing data from multiple touchpoints, RubiCube provides deeper customer insights, enabling hyper-personalized marketing, improved lead scoring, and enhanced customer service. Businesses can tailor interactions, predict customer behavior, and boost engagement with more targeted campaigns.

We prioritize data security through encryption, access controls, and compliance with GDPR, CCPA, and other privacy regulations. Our built-in governance framework ensures secure data handling throughout collection, integration, and analysis, protecting sensitive customer information.