Data Warehousing Services
100+
Satisfied and Happy Clients we have Served all over the World.
What We Do
Data warehouse services include advisory
implementation, support, migration, and managed services to help companies benefit from a high-performing DWH.
Data Warehouse Services by devstudio360
Data warehouse testing
devstudio360 offers a comprehensive DWH testing set, which can include ETL/ELT testing, BI testing, DWH performance testing and security testing.
devstudio360 DWH testing services have the following stages:
- Studying project requirements.
- Test planning and test design.
- Test implementation.
- Result analysis and accountability
Data warehouse support
devstudio360 provides DWH support to help you identify and solve DWH performance issues, achieve DWH stability for timely and quality data flow for business users, lower DWH storage and processing costs.
devstudio360 team offers:
- DWH solution architecture optimization.
- Optimization of individual DWH tools (keeping more data in memory, adding indexes to tune query performance).
- DWH design optimization (changing database schemas, data loading, etc.).
Data warehouse improvement
We conduct a thorough audit of your existing DHW solution and take on improvement actions: both advisory and implementation ones.
devstudio360 team takes on:
- Performance optimization (e.g., indexing to speed up data retrieval, query optimization, table partitioning).
- Data quality enhancement.
- Data governance framework development.
- Integrating new data sources.
- Scalability improvement (e.g., via load balancing mechanisms).
- Migration to the cloud.
- ETL/ELT optimization (e.g., via parallel processing, CD, and incremental loading mechanisms).
- Optimization of cloud costs.
- Enhancing user accessibility (e.g., via self-service BI tools, documentation and training)
- Security and regulatory compliance enhancements (e.g., via data encryption, user access controls, audit trails)
Why Build Data Warehouse Solutions with devstudio360
-30%
project time and budget costs due to thorough project management
up to 60%
less time for DWH solution maintenance due to optimal platform choice
up to 80%
reduction in cloud computing costs due to proper cloud configurations
Get DWH Solutions Tailored to the Specific Needs of Your Industry
Below, we provide domain-specific examples of data that can be consolidated in a data warehouse to ensure comprehensive analytics and insightful reporting.
Healthcare
- EHR data, including patients’ medical history, diagnoses, medications, treatment plans, and lab results.
- Patient-generated health data (PGHD).
- Medical imaging data, including X-rays, MRIs, CT scans, etc.
- Billing and claims data.
- Data on asset utilization, status, and location.
- Data on patient-hospital interaction.
- Population health data.
- Clinical trial and genomic data.
- Laboratory management and test results data.
- HR data, including scheduling, employees’ performance, and compensation.
- SCM data.
Manufacturing
- Equipment performance and event data.
- Full-cycle production data from the required systems, including HMI, PLC, SCADA, and MES.
- Data on asset condition, lifecycle, and current value.
- Financial performance data.
- Customer communication history, order details.
- Supplier, procurement, inventory, warehouse, and logistics data.
- Employees’ performance data.
Banking
- Data on financial transactions.
- Customer accounts balance and activities.
- AR/AP, sales, cash flow, and other financial management data.
- Customer demographics.
- Borrowers’ credit scores and financial statements.
- Data on the usage of banking products and apps.
- Customer feedback and other bank-customer interaction data.
- Marketing campaigns performance data.
- Data from financial marketplaces, including currency exchange and inflation rates, stock quotes.
- Data on banking environment security, e.g., audit trail data, history of data transfer, and user logins.
Lending
- Credit rating scores.
- Business financial statements.
- Loan portfolio data.
- Data on loan servicing.
- Data on loan repayment transactions and their status.
- Borrower data, including demographics, income, location, company size, industry, etc.
- Data on hedging strategies, collateral, and securities.
- Data from financial data marketplaces, e.g., market interest and currency exchange rates, real estate value.
Insurance
- Data on insurance products, e.g., policies and their terms, prices.
- Claim management data, e.g., insurance type, claimant, damage, settlement status.
- Customer-related data, including demographics and inquiries history.
- Data on agents’ activity.
- Financial management data, including sales, payroll, received premiums, paid claims.
- Data from IoT, computer vision, and asset monitoring systems of the insurer, commercial customers, third-party telematics providers.
- Data from the internal systems of credit rating bureaus, medical information bureaus, social security administration, police administration.
Investment
- Data on portfolio asset allocation.
- Billing, payouts, and taxation data.
- Data on client communications, demographics, preferences.
- Data on investment deals and transactions.
- Data on selling-purchasing operations.
- Data on received and due payments.
- Capital market data, e.g., stock prices, bond yields, currency exchange rates.
- Data on market, credit, and liquidity risk factors.
Retail and ecommerce
- Inventory management data, including stock levels across storage and selling locations.
- Data on customer demographics, preferred payment and shipment methods.
- Customer sentiment data driven from surveys, service-related interactions, and social media content.
- Data on customer behavior online and in brick-and-mortar stores.
- Shopping card data (for ecommerce stores).
- Payment transactions data.
- Order fulfillment data, e.g., product demand, order fulfillment status.
- Data on marketing campaigns.
- SCM data, e.g., supplier capacity and performance.
Transportation & logistics
- Telematics data, e.g., real-time data on vehicle location and state, fuel consumption.
- Data on cargo condition.
- Driver behavior data.
- Weather and traffic data.
- Data on customer preferences, order history, and feedback.
- Personnel schedules data.
- Inventory levels and demand data.
- Financial management data, including cost, cash flow, revenue, profit, and payroll data.
Real estate
- Data from property research and internet listing services, e.g., property listings and features, prices, availability.
- Historical customer-property matching data.
- Data from GIS and public services, e.g., spatial data, data on geographical boundaries and zoning.
- Customer-related data, including demographics, property inquiries history, communication logs.
- AR/AP data, financial statements.
- Property management data, e.g., info on tenants, rental income, lease terms, maintenance requests.
- Customer-generated content like reviews and social media comments.
- Data on construction management, e.g., project progress and costs, resource utilization.
- Data on regulation related to zoning and land use, environment, and accessibility standards.
Energy & utilities
- Smart meter data, e.g., on energy consumption, peak demand periods.
- Grid data, e.g., grid performance, voltage levels, outage events, load distribution.
- Weather data.
- Data on asset condition, performance, and maintenance history.
- Renewable energy data.
- Data on customer demographics, preferences, and energy usage patterns.
- Financial management data, e.g., on revenue, expenses, and profitability.
- Environmental impact data, including carbon emissions, water usage, and waste generation.
Oil & gas
- Seismic and microseismic data on underground rock formations.
- Historical drilling and exploration data.
- Data on reservoir characteristics like fluid and phase behavior, hydrocarbon saturation, porosity.
- Operational data from drilling and production equipment.
- Data on equipment status and maintenance schedules.
- Environmental impact data, e.g., greenhouse gas emissions, water usage, waste disposal.
- Refinery data.
- Data on supply chain management.
Telecoms
- Customer-related data, including demographics, preferences, feedback.
- Network data, e.g., capacity utilization, maintenance activities, outages, latency.
- Billing data, including billing records, pricing plans, discounts, payment history.
- Call detail records, including info on call duration, type, location, and quality.
- Real-time and historical equipment data.
- Data on competitor activity.
- Data on compliance regulations.
Education
- LMS data, e.g., online course completion rates, engagement metrics, utilization of digital learning tools.
- Student-related data, e.g., demographics, academic performance, attendance records, learning styles.
- Data related to teaching personnel, including qualifications, performance evaluations, professional development dynamics.
- Curriculum data like lesson plans, learning objectives, assessment results.
- Data on parent engagement, e.g., communication logs, meeting records, surveys.
- Data on the climate in an educational institution, e.g., surveys, discipline incidents, bullying reports.
- Financial data, including budget allocations, grant funding management, expenditure tracking.
Professional services
- Data on customers, including demographics, preferences, interactions.
- Customer feedback data, e.g., client satisfaction surveys, feedback comments, testimonials, online reviews.
- Operational data, including resource allocation, budgets, tasks completion.
- Employee data, e.g., skills and qualifications, productivity, training records.
- Data on service delivery.
- Time-tracking data like billable and non-billable hours, time spent on certain tasks.
- Marketing-related data, including info on lead generation sources, conversions, marketing campaigns performance.
- Financial management data, e.g., revenue streams, invoicing cycles, AP/AR data.
- Knowledge management data like KB usage metrics, knowledge sharing activities.
Travel and hospitality
- Customer demographics and interactions data.
- Customer feedback data from surveys and online review platforms.
- Data on bookings, reservations, and cancellations.
- Financial data, including sales and revenue.
- Operational data, including info on room occupancy, inventory levels, staff performance.
- Data on advertising channels and marketing campaigns.
- Data on competitors’ offerings and pricing strategies.
Media and entertainment
- Audience demographics data.
- Data on audience engagement, including viewership, ratings, likes, clicks, shares.
- Data on audience sentiment from social media networks, online review platforms, and surveys.
- Data on financial management, e.g., profitability, revenue attribution, production budgeting.
- Content consumption data, including info on watch time, device usage.
- Advertising and monetization data, e.g., ad impressions, conversions, revenue from ads and subscriptions.
- Data on market trends and competitor activity.
