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Moving towards Augmented Data Management

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80%

Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.

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2024

By 2024, 75% of organizations will have established a centralized data and analytics (D&A) center of excellence to support federated D&A initiatives and prevent enterprise failure.

2024

Through 2024, 50% of organizations will adopt modern data quality solutions to better support their digital business initiatives.

Automated Data Operations

By implementing DataOps, best practices, enterprises can scale infrastructure in an agile manner and simplify complex data processing.

AI-powered Data Intelligence

Supporting companies build capabilities for Adaptive Decision Making, Self-Service Analytics, and optimized processing of Analytics Cycle Time.

Streamlined Data Quality

Ensuring consistently high Data Quality across all environments is crucial for enterprises for data processing and analytics movements.

Effective Data Management

Building a unified solution that supports end-to-end Data Flow Automation and enterprise-grade security abilities.

Challenges of Building Data-Driven Enterprise

Data Privacy and Governance

Enterprises need a streamlined strategy that ensures safeguarding data integrity and follows regulatory compliance standards.

Scalability

A well-defined roadmap that concentrates on Data performance, reliability and availability with growing demands is a necessity for Data-Driven Organizations.

Identifying the right Technology Stack

Without leveraging modern technology, enterprises cannot scale and reach desired business and data insights goals.

Why Enterprises Need To Be Data-Driven?

250+ Experts

100+ Certified Consultants

Born Cloud Native with 10+ years of Experience

Better Understanding of Customer Behavior

Incorporating a simplified Data Strategy enables organizations to gain real-time visibility and make better-informed decisions.

Optimized Data Management

Automated solutions for Data Lineage, MetaData Management for streaming collection, cataloging, and integration of Data.

ML-driven Classification

With ML-powered, firms can enable smart cataloging and classification of data assets efficiently.

Key Differentiators. Why Choose XenonStack?

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Being an Advanced AWS Partner, XenonStack builds AWS-based Big Data implementation Solutions for Enterprises.

GCP enabled Big Data service offerings for building managed Data Discovery, Security and Governance equipped platforms.

As a Silver Competency partner XenonStack specialize in building solutions for enabling Enterprise-grade data security, streamlined data management and governance.