Get a custom data warehouse that provides trusted data to everyone. You gain performance, cloud scalability, and lower costs across your business operations.
Analyze my data infrastructureOur Clients
When data and decisions are accurate, grounded in real workflows, and consistent across the enterprise, your business realizes development, differentiation, and demand.
At Softweb Solutions, we help you build or modernize your data warehouse for the AI and cloud-first era. We use technologies like Snowflake, Azure Synapse, Amazon Redshift, Google BigQuery, and Databricks. Our data warehouse services make your data environment organized, scalable, and ready for intelligence-driven operations. So, your teams work with speed while making every decision better and faster.
We can help every user in your organization use data at every decision point by:
We start by mapping your data landscape and analytics needs. We define the warehouse schema, dimensional models, and storage architecture tailored to your query patterns. We select database engines (columnar, in-memory, or hybrid) and design partitioning and indexing strategies to keep your data trusted and accessible to everyone.
Integration begins with storage servers, database engines, and client tools working as one system. Our team builds and implements data transformation scripts. We populate metadata with schema definitions and data lineage documentation. We test end-to-end pipelines, validate data quality, and roll out the data warehouse.
We design connectors to your source systems using ODBC drivers, API gateways, and native integrations. Our ELT/ETL processes apply business logic and automate data extraction to load refined data into your warehouse. The implementation of scheduling and monitoring tools ensures your data arrives fresh and complete.
Our assessment helps you identify bottlenecks that slow down your data warehouse. We move workloads to the cloud in phases, so your work stays uninterrupted. We redesign schemas and improve query performance. Our engineers also add cloud-native features like auto-scaling and automated tuning to boost efficiency.
We establish data governance rules that define ownership, quality standards, and access policies. Data profiling and quality checks help catch inconsistencies early. We build metadata repositories that show where your data comes from, how it moves, and how it’s used, so every stakeholder has full visibility.
Our team monitors your queries, identifies slow workloads, and optimizes indexing and partitioning. We right-size compute resources to give you the right balance of speed and cost. You also get 24/7 support, proactive health checks, and continuous tuning as your data grows and query patterns evolve.
Power your AI and cloud programs 10X faster with clean, structured, analysis-ready data.
Design my data warehouse
Modern data warehouses aggregate and cleanse data from transactional databases, streaming platforms, APIs, and legacy systems. You maintain full lineage, ensure compliance, and control what feeds your models.
Elastic compute scales on demand, transforming raw data into engineered features at speed. Complex aggregations and temporal calculations can now be completed in minutes.
Store embeddings alongside structured data and perform vector operations at scale. Your RAG systems retrieve contextually relevant information while keeping sensitive data within your security perimeter.
Track data flows from source systems through transformations to AI applications. When your ML model behavior shifts, a data warehouse spots quality variations, schema updates, or distribution changes.
Continuous data ingestion and sub-second queries ensure models train on current data. Business users get immediate answers while data scientists analyze petabytes of historical information.
Cloud-native architecture separates storage from compute, scaling each independently. Run ML training jobs parallelly without impacting production analytics or managing infrastructure manually.
DWaaS takes care of the infrastructure for you. Cloud-native platforms automatically set up, update, and scale your systems. You pay for what you use. We guide your move to a service-based model. Our team works with you to select the right platform. If you need multiple teams to share the same system, we design the right architecture. Our team handles data and process migration to the new platform. They also set up access controls, spending limits, and policies to keep your data warehouse secure and affordable as you grow.
Talk to our experts
Real-time analytics let you respond instantly. Whether it is a shift in demand or any operational issue, your team will be notified right away
Everyone uses a single source of truth. Data management practices consistently maintain high data quality data across your organization.
Cut infrastructure costs and manual work. Optimize resources while saving significant time on manual data integration tasks daily.
Users explore data independently with self-service analytics tools. No more waiting on IT teams to run queries for you.
Audit trails and data lineage keep you compliant. Access controls reduce risk and simplify meeting all regulatory requirements.
Your warehouse grows from gigabytes to petabytes. But you will not require system redesign or platform migrations for scaling.
A data warehouse is great for structured analytics. A data lake lets you store raw and unstructured data. A data lakehouse brings both together on one platform. We build data lakes that can take in any type of data, from logs, images, documents, sensor files, to text. On data lakes, we add a lakehouse layer with metadata, quality checks, and ACID support, so you get warehouse reliability with data lake flexibility. This approach lets you:
We audit your current data landscape, identify pain points, and understand strategic priorities. We define success metrics.
We create a warehouse plan with the right technology stack and growth path for you. We explain approaches with their pros, cons, and costs.
Our team builds, tests, and launches your data warehouse. We set up data pipelines, migrate data, and put the right controls in place.
We train your teams, share practical guidelines, and build analytics use cases to show immediate value.
We watch how the system runs, find areas to improve, and fine-tune your warehouse and processes over time.
Bring together transaction records, risk assessments, and customer profiles for compliance reporting. Organizations can perform smarter portfolio analysis and ensure regulatory adherence.
Connect patient records, clinical data, and operational metrics to deliver better care and meet regulatory requirements. The integration helps control costs while improving patient outcomes.
Pull together production metrics, quality data, and sales figures to streamline operations and reduce waste. Products get to market faster with better efficiency across the board.
Combine asset performance data, grid information, and consumption patterns to boost reliability. Maintenance planning improves while supporting future energy needs forecasting.
Unify network performance stats, customer usage patterns, and operational data to optimize your network. Service quality and customer experience both improve as a result.
Merge sales data, inventory levels, and customer behavior to forecast demand accurately. Personalized shopping experiences drive greater customer satisfaction and loyalty.
We consolidate all data sources into one centralized repository for consistent decision-making. Your entire organization operates from the same trusted, reliable information foundation.
Our data management practices ensure clean, accurate, complete, and timely information from multiple data sources. You can trust every insight and decision powered by your data warehouse.
We deliver real-time dashboards and integrate self-service BI for complete visibility into performance and trends. Your teams gain instant access to the metrics that matter most.
Our optimized schemas and analytics frameworks surface insights instantly. Your teams get trend analysis and AI-ready datasets in real time to help you make better and faster decisions.
Industry
Manufacturing
Technologies:
Python, SQL, Databricks, Power BI Modelling
Challenges:
Data volume, complexity, storage and management.
Business Impact:
Client:
A leading provider of high-precision industrial components
Client:
One of the leading financial services and technology companies
Technologies:
Snowflake CDP, Power BI, Python, AWS
Challenges:
Data silos and fragmentation, limited scalability, poor data quality, and lack of data security.
Business impact:
Most organizations accumulate data across disconnected systems. This fragmentation makes it difficult to gain unified insights, ensure data consistency, or support AI initiatives. Data warehouse consulting helps you unify data into a single source of truth, establish governance, and unlock analytical value. The financial impact is significant with better decisions, faster time-to-market, and cost reduction.
You likely need data warehouse consulting if: your teams create separate reports from different systems and argue about conflicting numbers; business questions require weeks of manual data pulls; you’re investing in AI or analytics but lack trusted data; or your data infrastructure can’t scale to your growth. If 50+ people access your data regularly, a professional data warehouse quickly pays itself through efficiency gains.
Timeline depends on complexity and scope. A modern cloud data warehouse with 3-5 source systems and straightforward transformations might take 3-4 months. More complex environments, like legacy systems, extensive data cleansing, many integrations, and complex business logic, can take 6-12 months. We design in phases and deliver value incrementally, so you realize ROI before full implementation.
Yes. For small businesses, we design lightweight warehouses using cost-effective cloud platforms. For enterprises, we architect complex, multi-tenant, highly scalable solutions with sophisticated governance and compliance controls. We scale our approach to your size and budget.
Cloud migration eliminates overhead from hardware maintenance, patching, and upgrades. You gain virtually unlimited scalability with instant availability of storage and compute, not weeks of procurement. You pay only for what you use. Modern cloud warehouses are designed for analytics and offer better query performance. You gain flexibility to experiment with new tools and workloads without infrastructure changes.
Ensure your data works the way you need
Book a short session to evaluate gaps and see how a modern data warehouse improves daily decision-making.
