Advanced Analytics

From Data Insight to Business Foresight

Harness the power of machine learning, AI, and predictive intelligence to turn data into foresight, enabling proactive decisions and smarter business strategies.

Built for scale, our advanced analytics ecosystem ingests vast data volumes, applies AI-driven models, and delivers predictive foresight that accelerates decision-making and drives enterprise-wide transformation.

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Analytics Capabilities That Deliver


Data Strategy

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We help you harvest true strategic value from your data.

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    Platform Design
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    Data Governance
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    Data Products

Business Intelligence

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We turn data into clarity that drives business excellence.

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    Predictive analytics
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    KPI Glossary
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    Data visualization

Customer Insight

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Linking deep behavior to revenue-driving action.

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    Customer analytics
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    Sales analytics
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    Marketing analytics

Data Solutions

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We assist you in choosing and implementing the best-fit solution for your needs.

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    Data migrations
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    Master data management
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    Data platform analysis

Key Benefits for Businesses

  • Faster business moves
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    Faster business moves

    Act quickly with sharper
    context and aligned priorities

  • Cleaner input flows
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    Cleaner input flows

    Remove manual gaps
    and reduce signal noise

  • Action-ready signals
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    Action-ready signals

    Deliver timely, relevant
    insights for decision-making

  • Tighter ops rhythm
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    Tighter ops rhythm

    Synchronize workflows
    for seamless execution

  • Smarter team sync
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    Smarter team sync

    Enhance collaboration
    with data-driven alignment

  • Proactive risk flags
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    Proactive risk flags

    Identify issues early
    to prevent disruptions

We support leaders with the clarity, speed and intelligence
required to drive better business outcomes

01

Data discovery
and analysis

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02

Data
sources

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03

Business
Intelligence

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04

Analytics
and models

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05

Analytical
decisioning

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06

AI
and ML

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“zhilon knows what they’re talking about, and they don’t make hollow promises. They built a unified CRM that streamlined our operations and improved internal workflow. Transparent, skilled and dependable; they deliver real results, not fake promises.”

Managing PartnerInsurance Company

“We’re always satisfied with the results zhilon delivers. Their forward-thinking team revamped our website into a high-performing platform that attracts praise and results; always reliable, proactive, and deeply committed to excellence.”

Rudsel LucasManaging Director – Sadekya Fiduciary Partners

“The team is very thorough. They come up with workable solutions with innovative ideas & always have the client's interest in mind. We love working with zhilon!”

Anuttama DasGM - Marketing, P.C. Chandra Jewellers

“zhilon truly delivers everything that you communicate to them. Their blend of design sense, technical skill, and responsiveness makes them an exceptional long-term partner who understands our business needs and brings every idea to life seamlessly.”

Dan RobsonCEO, Noetek Corporation

“What stands out about zhilon is their dedication. Their competitive pricing, smooth project management, and commitment to client satisfaction are unmatched.”

Karan AhujaOperations Head

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Ready to lead
with data?

Talk to Our Experts
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Let’s map
your analytics
journey now!

Start Your Project

Ready to learn more? Get the latest insights about Advanced Analytics

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Case Study

Enhancing Data Integration and Reporting Efficiency for a Leading Insurance Provider

Type of Customer & DomainThe customer is a leading insurance and home warranty provider based in the USA. They specialize in delivering coverage solutions for homes and appliances, offering comprehensive services to customers in various sectors of the insurance industry.Their operations involve managing vast amounts of data generated through customer interactions, claims, and warranties, which are crucial for efficient decision-making and reporting.Problem StatementThe client faced significant challenges related to the integration of both real-time and static data across fragmented data sources. These data points were essential for generating both operational and analytical reports.The existing batch processing ETL technologies struggled to keep up with the high volume of zero-latency data being generated, leading to delays and inefficiencies in reporting.

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Case Study

Enhancing Business Intelligence and Decision-Making with Embedded Power BI

Type of Customer & DomainThe client is a prominent cloud service provider specializing in managed IAAS, PAAS, and DRaaS solutions. They offer cloud infrastructure and related services, including virtual space, cloud storage, and email marketing solutions to clients globally.With a strong focus on scalability, security, and reliability, the company provides businesses with the tools needed to manage and grow their digital infrastructure.Problem Statement / ContextThe client faced several challenges in modernizing their digital presence and offering seamless user experience. They needed to redesign their website to better present their cloud services and enhance customer engagement.Additionally, the client’s payment tracking system had technical glitches that needed to be addressed, which hindered smooth transactions. They sought a scalable solution that could adapt to future business growth and cater to increasing customer demands.

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Case Study

Improving Healthcare Decision-Making and Efficiency with Enterprise Analytics

Type of Customer & DomainThe customer is a leading healthcare provider and payer based in North America, specializing in providing services such as disease outcome prediction, preventive care, and medical policy enhancement.They cater to both patients and healthcare insurers, managing vast amounts of data generated from clinical care, patient records, and operational activities. This data is essential for improving healthcare services, ensuring accurate insurance coverage, and enhancing policy management.Problem Statement / ContextThe client faced several challenges in handling the enormous volume of healthcare data across various systems. This fragmented data was crucial for making informed decisions, but the lack of effective data management processes posed difficulties in improving service quality.They needed to upgrade their data warehousing and business intelligence (BI) capabilities to generate more accurate reports for better business analysis.

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