SOLUTIONS

Data Engineering & Analytics on AWS

Leverage the Power of Data & Analytics to Elevate Your Business

SOLUTION OVERVIEW

AWS Data Engineering & Analytics Overview

Turn data into a powerful driving force to accelerate business innovation and growth

Although it’s easy to see the obvious value and potential that data holds, the path to harnessing it can be obscure and cost-intensive. Where do you start? What’s the best solution? Who and what do you need? How much will it cost? Luxbill can answer all your data questions and offers a comprehensive Data & Analytics practice for every step in your data-driven journey, no matter where you’re at.

Benefits of Data Engineering & Analytics with Luxbill

Data expertise and experience you can count on

As an AWS Data and Analytics Competency partner, Luxbill will help you successfully plan, design, and build a reliable and scalable data infrastructure to ingest, store, supplement, process, visualize, and analyze data in your AWS environment.

Navigate Build vs. Buy Decision

Take a consultative approach to determine which data solutions make the most sense for your business.

Team of AWS & Data Experts

Solve data challenges with a team of AWS cloud and data experts at a fraction of the cost of building an in-house team.

Navigate Build vs. Buy Decision

Take a consultative approach to determine which data solutions make the most sense for your business.

Tailored Data Solution for Your Needs

Customize your data and analytics approach to meet your specific use case and objectives.

Visualize & Identify Patterns with Business Insights

Build dashboards and gain insights with BI tools such as Tableau, Amazon QuickSight, and Power BI.

Drive Data-Driven Decision Making

Detect anomalies in new data, recommend unique activities for customers, and make better decisions to inform courses of action.

Optimize Your Data Infrastructure & Movement on AWS

Data-driven business intelligence is now within your reach

Whether you are looking to establish a new data lake, lakehouse, warehouse/mart, or need to modernize an outdated and underperforming data pipeline, our data engineering and analytics expertise and capabilities have you covered. Luxbill is equipped with deep data and analytics knowledge and experience to transform your data pipelines into robust systems tuned and prepared for business analytics.

Realize the competitive advantages of modernized data architecture, strategy, and tools faster and cost-effectively with our data engineering and analytics service offering:

Expert Guidance & Support When
You Need it Most

Experience & skills that deliver successful outcomes

Whether you are looking to establish a new data lake, lakehouse, warehouse/mart, or need to modernize an outdated and underperforming data pipeline, our data engineering and analytics expertise and capabilities have you covered. Luxbill is equipped with deep data and analytics knowledge and experience to transform your data pipelines into robust systems tuned and prepared for business analytics.

Realize the competitive advantages of modernized data architecture, strategy, and tools faster and cost-effectively with our data engineering and analytics service offering:

Engagement Manager

Data Consultant

Data Engineer

Data Architect

CUSTOMER SUCCESS STORY

7SIGNAL

7SIGNAL’s existing architecture was not able to efficiently leverage modern cloud services, leading to performance and scalability struggles – and holding back the development of new product capabilities for monitoring customers’ wireless networks.

The company enlisted Luxbill to rebuild its AWS architecture and create a new alerting agent application that could analyze millions of streaming data messages daily (and deliver near real-time customer alerts whenever WiFi errors or anomalies occur). With this Mission-designed and verified AWS architecture, 7SIGNAL gains a performant and scalable solution for advancing its services and meeting future customer growth. The company also leverages Luxbill’s data, analytics, and machine learning (DAML) practice for bringing its predictive analytics application to market.

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