Data Warehouse and Lakehouse
Scalable data platforms on Snowflake, BigQuery or Databricks, designed with clear layers, dimensional models and cost controls so storage and compute grow efficiently with your business.
Data Analytics Services
Turn Scattered Data into Decisions You Can Trust
We build modern data platforms, reliable pipelines and business intelligence dashboards that unify your sources into a single source of truth, giving leadership and teams timely, accurate insight into performance.
8wks
Typical time to first dashboards
99.9%
Pipeline reliability target
30%
Typical reduction in reporting effort
Data AnalyticsBI, pipelines & dashboards
Tech we use
22+ tools
SnowflakeBigQueryDatabricksPostgreSQL
MySQL
Apache Airflow
Apache Kafka
Apache Spark
Python
pandas
Hadoop
Power BI
Tableau
Looker
Metabase
Grafana
AWS
Microsoft Azure
Google Cloud
Google Analytics
Mixpanel
SalesforceData Analytics
One source of truth for every team
Most organizations have plenty of data but little confidence in it. Numbers differ between departments, reports are rebuilt by hand every month, and insight arrives too late to act on. RixlSoft designs data platforms that consolidate CRM, ERP, product and marketing data into a governed warehouse with consistent metric definitions everyone can rely on.
We build the pipelines, models and dashboards, then layer in forecasting and AI-assisted analysis where it adds value. Your team gets fast, self-service access to trusted data instead of waiting days for analysts to reconcile spreadsheets and rebuild the same reports.
- Modern cloud data warehouse architecture
- Automated, monitored data pipelines
- Consistent, governed metric definitions
- Self-service BI for business users
8wksTypical time to first dashboards
What We Offer
Data Analytics Services
Comprehensive capabilities covering every stage of your Data Analytics journey — delivered by senior specialists.
Data Pipelines and ETL/ELT
Automated ingestion from SaaS tools, databases, APIs and event streams, orchestrated with Airflow and monitored for freshness, volume and schema changes to prevent silent failures.
BI Dashboards and Reporting
Executive, operational and customer-facing dashboards in Power BI, Tableau, Looker or Metabase, designed around real decisions, with drill-downs, threshold alerts, scheduled reports and role-based access.
Predictive and Advanced Analytics
Forecasting, churn prediction, segmentation and anomaly detection models built in Python, integrated into dashboards and operational workflows so model predictions drive everyday decisions across your teams.
Real-Time Streaming Analytics
Event pipelines with Kafka and Spark for live operational metrics, fraud signals and IoT telemetry, delivering actionable insight to operations teams in seconds rather than the next business day.
Data Governance and Quality
Data catalogs, lineage, automated quality tests, access policies and metric layers that make your data trustworthy, auditable and compliant with GDPR and other privacy regulations.
Why RixlSoft
Why Choose Us for Data Analytics
Senior engineers, transparent delivery and AI-first thinking — the difference between shipping software and building an asset.
Decision-Driven Design
We start with the questions leaders need answered and the KPIs that matter, then work backward to the data, avoiding dashboards nobody uses.
Trustworthy Numbers
Automated tests, reconciliation against source systems and a shared semantic layer ensure every team reports the same figures for the same metric.
Cost-Efficient Platforms
Right-sized warehouses, incremental models and query optimization keep cloud data spend predictable and transparent as data volumes, sources and user counts increase.
AI-Ready Foundations
Clean, well-modeled data is the prerequisite for AI. Our platforms support machine learning, natural-language querying and LLM applications as your next step.
Our Process
How We Deliver Data Analytics
A proven, transparent process with clear deliverables at every stage — so you always know what's done, what's next and why.
01
Data Assessment and KPI Workshop
We inventory sources, assess data quality and run stakeholder workshops to agree on priority business questions, KPIs, owners and metric definitions.
Source inventoryKPI catalogQuality assessment
02
Platform Architecture
We design the warehouse, ingestion approach, modeling layers, security and tool selection to fit your scale, budget and cloud environment.
Reference architectureTool selectionCost estimate
03
Pipeline and Model Build
Ingestion pipelines and transformation models are built incrementally with automated testing, documentation, lineage and freshness monitoring from the very start.
Data pipelinesData modelsTest suite
04
Dashboards and Enablement
We deliver dashboards for priority use cases, validate numbers with business owners, and train teams to explore data confidently on their own.
BI dashboardsMetric definitionsUser training
05
Operate and Expand
We monitor pipelines, tune performance and costs, and extend the platform over time with new sources, advanced analytics and predictive models.
Monitoring alertsCost reportsAnalytics roadmap
Technology Stack
Tools & Platforms We Master
Proven, production-grade technology chosen for your requirements — never for hype.
SnowflakeBigQueryDatabricksPostgreSQLMySQLApache AirflowApache KafkaApache SparkPythonpandasHadoopPower BITableauLookerMetabaseGrafanaAWSMicrosoft AzureGoogle CloudGoogle AnalyticsMixpanelSalesforceEngagement Models
Flexible Ways to Work Together
Choose the model that matches your scope, budget and pace — and switch as your needs evolve.
Analytics Quick Start
A fixed-scope engagement delivering a working warehouse, core pipelines and first dashboards for a defined business area.
Discuss this modelDedicated Data Team
Data engineers, analysts and BI developers dedicated to building and evolving your data platform over time.
Discuss this modelManaged Data Operations
Ongoing monthly support for pipeline monitoring, data quality checks, cost optimization and new dashboard or report requests.
Discuss this modelIndustries
Industries We Serve
Banking & Fintech
Payments, lending & financial platforms
Healthcare & Pharma
Digital health & clinical platforms
Retail & E-Commerce
Commerce platforms & automation
Logistics & Ops
Supply chain & route optimization
Telecom
Network tools & customer portals
Enterprises
Modernization at scale
FAQs
Frequently Asked Questions
Everything you need to know about our Data Analytics services. Can't find an answer? Talk to our team.
Ask an ExpertHow much does a data analytics project cost?
Cost depends on the number and complexity of data sources, data quality, required refresh frequency, number of dashboards and governance needs. A quick-start covering a few sources and core dashboards is a modest engagement, while enterprise platforms are phased. We also estimate ongoing cloud and BI licensing costs upfront.
How quickly can we see our first dashboards?
For a focused scope with accessible sources, first production dashboards are typically delivered within six to eight weeks. Broader platforms roll out incrementally, adding sources and business areas every few sprints, so you gain value early rather than waiting for a single large release at the end.
Which BI tool and data warehouse should we choose?
The right choice depends on your existing cloud, licensing, team skills and data volumes. Power BI fits Microsoft-centric organizations, Looker suits governed semantic models, and Metabase offers low-cost self-service. We compare options against your requirements and can work with tools you already own.
Who owns the data platform and code?
You own everything: the data, cloud accounts, pipeline code, transformation models, dashboards and documentation. We build inside your cloud environment wherever possible, so there is no lock-in to RixlSoft and your internal team or another partner can take over at any time.
What support do you offer after the platform is live?
Our managed data operations plans include pipeline monitoring, incident response, handling source system changes, data quality checks, cost optimization and new reports. We also run periodic reviews with stakeholders to retire unused dashboards and prioritize new analytics and predictive use cases.
Explore More
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LLM apps & AI automation
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Cloud Applications
AWS, GCP, Azure-native builds
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Custom Software
Bespoke enterprise solutions
Learn moreReady to start your Data Analytics project?
Book a free discovery call. We'll map your goals, suggest the right approach and give you a clear estimate — no obligation.
Get In Touch
Let's Build Something Extraordinary
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