Sologenx delivers enterprise software, cloud solutions, and digital transformation services to businesses worldwide.
Consultation- Indore, Madhya Pradesh, India
- +91-731-2024242
- support@sologenx.com
- Mon - Sat: 09:00 to 18:00
Big Data & Analytics
Big Data & Analytics Services
Sologenx transforms raw data into actionable intelligence. We build the infrastructure to collect, process, and analyse data at scale — then deliver insights through dashboards, reports, and automated alerts that drive better business decisions in real time.
Whether you need a data warehouse from scratch, real-time streaming pipelines, or executive dashboards that tell the story behind your numbers — we deliver solutions that scale from gigabytes to petabytes.
Data Services We Provide
Data Engineering & Pipelines
Data Warehouse & Lake
Dashboards & Visualisation
Real-Time Analytics
Predictive & Advanced Analytics
Data Governance & Quality
Why Choose Sologenx for Data
Business Questions First
We start with what decisions you need to make, then work backwards to the data infrastructure required. No technology for technology's sake.
Production-Ready Pipelines
Monitoring, alerting, error handling, and idempotent processing. Our pipelines run reliably at 3am without someone watching them.
Cost-Optimised
Right-sized compute, intelligent partitioning, and caching strategies. We keep your cloud data costs predictable as data volume grows.
Self-Service Enabled
We build for your team to explore independently. Semantic layers, documentation, and training so analysts are productive from week one.
Sitting on data you cannot use?
We will assess your data landscape and recommend the fastest path to actionable insights — whether that is a dashboard, a pipeline, or a complete data platform.
Get a Free Data AssessmentData Technologies
Frequently Asked Questions
Focused dashboard: 4–6 weeks. Full data warehouse with integrations: 3–6 months. We deliver incrementally with value from the first month.
Not initially. We build and manage your infrastructure. Once stable, we provide documentation and training, or offer ongoing managed services.
Yes. We integrate with Salesforce, HubSpot, Stripe, Shopify, custom databases, flat files, and APIs. We do not force a specific stack.
A warehouse stores structured, processed data for fast queries. A lake stores raw data in any format for flexible analysis. Many organisations use both. We recommend based on your analytics needs.
Automated validation rules, data contracts, anomaly detection, and monitoring dashboards. We catch quality issues at ingestion before they pollute your analytics.
Yes. Streaming architectures with Kafka, Flink, or Spark Streaming for live dashboards, fraud detection, IoT telemetry, and operational monitoring.
Power BI, Tableau, Looker, Apache Superset, Metabase, and custom-built solutions. We recommend based on your team skills and use cases.
Data masking, role-based access, encryption, audit logging, and compliance with GDPR, HIPAA, and CCPA. We design privacy into the architecture from the start.
dbt (data build tool) manages SQL transformations in your warehouse with version control and testing. Ideal for analytics engineering. We recommend it for most modern data stacks.
Yes. We migrate from Excel-based reporting, Crystal Reports, SSRS, and older BI tools to modern platforms with historical data preservation and report recreation.
Dashboard projects: USD 10,000–30,000. Data warehouse builds: USD 40,000–100,000. Enterprise data platforms: USD 100,000+. We scope based on data sources, complexity, and user requirements.
Yes. Statistical modelling, machine learning, predictive analytics, and AI-driven insights as part of or alongside your data platform.