Unsatisfied with Your Existing Analytics?
Analytics as a Service (AaaS) gives your business a fully managed, cloud-based analytics setup — available on a simple, predictable subscription. INNERLUXES sets up and manages your entire cloud analytics environment: from data warehousing and ETL/ELT to OLAP, reporting, and live dashboards, so you get clear answers without the infrastructure headache.
- Your data warehouse, ETL pipelines, OLAP cubes, and dashboards — built, configured, and managed for you.
- No infrastructure setup burden, no data management overhead — just insights, delivered on schedule.
- Scale your analytics up or down as your data volumes and team needs change — subscription-based, cost-predictable.
Our Approach to Data Analysis
INNERLUXES applies the right analytical method to every business domain — matching the type of analysis to the decisions you actually need to make.
Sales & Operations
- Revenue trend analysis.
- Demand and capacity planning.
- Pipeline and conversion tracking.
- Operational KPI reporting.
- Inventory optimization analytics.
Finance & Marketing
- Budget variance analysis.
- Campaign ROI measurement.
- Customer acquisition cost tracking.
- Cash flow forecasting.
- Financial compliance reporting.
Customer Behavior
- Cohort and retention analysis.
- Churn prediction models.
- Purchase pattern analysis.
- Lifetime value calculation.
- Segmentation and personas.
Supply Chain
- Supplier performance tracking.
- Lead time analysis.
- Logistics cost breakdowns.
- Demand forecasting.
- Warehouse utilization reports.
Types of Analytics We Apply
Descriptive Analytics
Answers “what happened?” — using grouping and aggregation to summarize historical business data into clear reports and dashboards everyone can use.
Diagnostic Analytics
Answers “why did it happen?” — using data science techniques to drill into the root causes behind trends, anomalies, and unexpected outcomes.
Predictive Analytics
Answers “what will happen?” — applying advanced data science and machine learning to sensor data and big data to forecast future outcomes with confidence.
Prescriptive Analytics
Answers “what should we do?” — combining predictive models with optimization logic to recommend the best course of action for your specific situation.
What Makes INNERLUXES a Reliable AaaS Provider?
- Hands-on experience in data analytics and business intelligence.
- 132+ IT professionals dedicated to building and running smart data solutions.
- 68 projects successfully delivered across complex, real-world environments.
- Deep expertise in machine learning, AI, and modern data science practices.
- End-to-end capability with Microsoft Power BI, AWS, and Azure ecosystems.
- Delivery practices aligned with rigorous quality and data security standards.
- Domain knowledge spanning 30+ industries — healthcare, finance, retail, logistics, and beyond.
- Flexible engagement models designed for startups, growing businesses, and enterprise teams.
- A team that treats your data with the same care you do.
Highlights of Data Analytics as a Service with INNERLUXES
From eliminating your infrastructure burden to putting insights in the hands of every decision-maker, AaaS with INNERLUXES delivers on every dimension that matters.
No infrastructure setup or admin burden
We design lean, right-sized analytics solutions, integrate 10+ cloud services into one clean package, and build your DWH, ETL/ELT, OLAP, and dashboards from scratch. We handle all data management — you never touch the backend. Monitoring, maintenance, and scaling are included, with transparent subscription-based costs.
Optimal delivery of analytics insights
Custom reports and dashboards for every role — delivered on schedule or triggered by key business events. Interactive drill-down, pivot, and filter options for deeper analysis. Self-service analytics with role-based access, mobile-friendly dashboards, automated alerts, and smooth integration with your existing tools.
Analytics available as fast as possible
Your first live dashboard with charts and tables can go live in as little as 1 day. A brand-new dashboard is ready in 4 hours to 2 days depending on complexity. Updates to existing reports are turned around in 2–8 hours. Priority handling is available for time-sensitive data requests.
Cloud-native DWH & ETL pipelines
We build and configure your cloud data warehouse and ETL/ELT pipelines on AWS or Azure — designed for your data volume, refresh cadence, and query performance requirements. Clean data in, reliable insights out, every time.
Self-service analytics platform
We configure a secure, role-based self-service platform so every stakeholder can explore data independently. No waiting for the data team — your people get the access and tools they need to answer their own questions fast.
ML & AI model integration
When your analytics needs to go beyond reporting, we layer in machine learning model development, deployment, and ongoing management — turning your historical data into a reliable guide for future decisions.
Sonia
Data Engineer
at INNERLUXES
“For reliable AaaS delivery, we automate data quality checks at every pipeline stage — catching anomalies before they reach dashboards. Our monitoring layer tracks freshness, completeness, and accuracy 24/7, so clients always act on trustworthy data, not stale or broken numbers.
Selected Analytics Projects by InnerLuxes
Pricing Models for Analytics as a Service
Every business runs on different data, which means every pricing conversation is different. AaaS pricing combines three complementary models — so you pay exactly for what you use, with no surprises.
Cloud DWH storage and processing, ETL/ELT pipeline operations, and BI tool access (Power BI or equivalent) — billed per actual cloud resource usage and per user.
For optional activities: data governance setup and maintenance, master data management (classifiers, hierarchies, business logic), and ML model development and deployment.
For one-time activities — primarily data migration from your existing data warehouse. Scoped upfront, delivered on a defined timeline and a predictable budget.
AaaS Benefits: Be Effective Right Now
Your data already has the answers. INNERLUXES helps you hear them clearly — with minimal involvement from your side and a total cost of ownership that actually makes sense for your business.
Enterprise-grade analytics
Solve real, day-to-day business problems with analytics built for your industry, your data volumes, and your decision-making pace — not theoretical dashboards no one opens.
Lower total analytics cost
No heavy upfront investment, no recurring software license fees. You get enterprise analytics capability at a predictable, subscription-based cost that scales alongside you.
Focus on your core business
We handle every data detail behind the scenes — from pipeline maintenance to dashboard updates. Your team stays focused on what they do best.
Faster, more confident decisions
Clean, reliable, always-available insights mean your leadership team can make the right call faster — backed by data, not guesswork or gut feeling.
Fully scalable setup
Your analytics environment grows alongside your data, your team, and your ambitions. Scale cloud resources and reporting scope up or down without disruption or re-platforming.
Zero infrastructure stress
One subscription, everything handled. Cloud provisioning, data security, compliance monitoring, backups — we manage it all, invisibly and reliably, every day.
Technologies We Use for Analytics as a Service
We combine cloud-native platforms, proven BI tools, and modern data engineering frameworks — choosing the right stack for your data, not the trendiest one.
Business Intelligence & Visualization
Power BICloud Data Warehousing & Storage
Redshift
Amazon S3
DynamoDB
Amazon RDS
DocumentDB
ElastiCache
Synapse Analytics
Data Lake
Blob Storage
Cosmos DB
Azure SQL
MS Fabric
Cloud SQL
Cloud DatastoreBig Data & ETL / ELT
Apache Spark
Kafka
Hadoop
Hive
NiFi
HBase
ZooKeeper
InfluxDBDatabases / Data Storages
SQL Server
PostgreSQL
MySQL
Oracle
Cassandra
MongoDBProgramming & Data Science
Python
Java
.NET
ScalaPlatforms
Dynamics 365
Salesforce
SAPHow We Deliver Your AaaS Setup
A proven, six-step process from discovery to ongoing management — refined across 68 analytics projects and built for speed without cutting corners.
Setup & Configuration
- Discovery and data source audit
- Cloud DWH architecture design
- ETL/ELT pipeline build and test
- OLAP and KPI reporting design
- Dashboard build and deployment
- Role-based access configuration
Ongoing Management
- 24/7 pipeline monitoring and alerting
- Dashboard updates and new reports
- Data quality assurance checks
- Cloud cost optimization
- Scaling to match data growth
- ML model maintenance and retraining
Choose Your AaaS Engagement
AaaS consulting
You have data but no analytics strategy. Our consultants audit your data landscape, define the right cloud architecture, and give you a roadmap you can act on immediately.
I’m Interested →Full AaaS setup &
management *
Hand your entire analytics environment to a team of 132+ professionals. We build, configure, and manage everything — DWH, ETL, dashboards, ML models, and support.
I’m Interested →Analytics modernization
& support
Your existing analytics setup needs a refresh or reliable ongoing care. We modernize legacy BI systems, migrate data warehouses, and handle day-to-day maintenance.
I’m Interested →* To get value from your data fast, INNERLUXES recommends a focused analytics sprint. Your first live dashboard can be ready in as little as 1 day — and we grow your analytics environment iteratively from there, as your needs evolve.
Data Analytics as a Service – Q&A
Your first live dashboard with charts and tables can be ready in as little as 1 day. A brand-new custom dashboard typically takes 4 hours to 2 days depending on complexity. Updates to existing reports are turned around in 2–8 hours based on your SLA and urgency. We also offer priority handling for time-sensitive data requests.
We connect to virtually any data source — CRMs, ERPs, cloud databases, flat files, IoT feeds, third-party APIs, and more. Our ETL/ELT pipelines handle all data collection, transformation, and loading so your dashboards always reflect clean, current information regardless of how many sources you have.
Pricing combines three models: consumption-based billing for cloud resources (DWH, ETL pipelines, BI tool licenses); time-and-materials for optional activities like data governance setup and ML model development; and fixed price for one-time work such as data migration. Every engagement is scoped individually so you only pay for what you actually use — no generic quotes, no surprises.