Data Warehouse Consulting and Implementation Services

ExistBI is a leading data warehouse consulting firm providing seamless solutions and services to help companies make informed decisions and achieve strategic objectives that drive business success! Our data warehouse consultants are platform and tool agnostic, implementing data warehouse projects using Snowflake, Microsoft (Fabric, Data Factory, Azure Data Lake, Azure SQL Data Warehouse, Azure Synapse, On-premise SQL Data Warehouse), AWS S3/Lake Formation, Oracle, IBM Db2 Warehouse, Informatica, SAP Analytics Cloud Data Lakehouse, Cloudera, Google Big Query just to name a few…

from data warehouse to real time data streaming

Our Data Warehouse Consulting Services

Data Warehouse Strategy & Design
Our Principal data warehouse consultants will help define your business analytics needs, KPIs, create a proven data strategy, design the right EDW or data lake model, and build a scalable solution for your growing business.

Data Integration & ETL / ELT Services
We create processes that make data from different sources seamlessly integrate into high-quality, helpful information and efficiently load it into your data warehouse or data lake.

Data Modeling Service
We analyze data from various sources and refine the models to design efficient data structures for your growing business needs. We can provide a big data or data warehouse consultant at any phase of your project.

Data Governance & Data Quality Management
We use workshops and specialist tools to help create, configure and implement policies to ensure regulatory compliance. We create a data governance framework and best practices that ensure your policies and data is reliable for trusted insights.

Data Security & Governance
We implement robust data security measures, access controls, and encryption in compliance with industry regulations. We can assist with your on-premise, hybrid or cloud data warehouse or data lake infrastructure project.

Our Approach to Data Warehouse Consulting Services

Phase 1: Assessment, Strategy & Planning
We lay the foundations for a successful new Data Warehouse project:
- We start with a Business Intelligence Assessment consisting of stakeholder workshops
- Solidify stakeholders vision and objectives with both the business and technology team
- Review Data Governance, Data Quality, Master Data Management, Data Warehouse and Reporting environments, existing systems, and Data Management strategy
- Understand the current capability and scalability
- Create a Risk Management Framework

Phase 2: Data Warehouse Analysis & Design
Our team analyzes your data sources, and translate detailed requirements into data structures that are scalable, resilient, extensible, and sustainable:
- Review and document existing data sources and data connectors
- Undertake analysis of existing reports, machine learning models, and data-mining needs
- Conduct a gap Analysis on data sources
- Conduct detailed analysis of Key Performance Indicators (KPIs) and Key data management processes
- A Principal Consultant & Architect map out the logical design of the Data Warehouse
- A Principal Consultant & Data Integration Specialist creates the logical design of the ETL architecture

Phase 3: Data Warehouse Build & Development
We build robust data warehouse, develop ETL processes for seamless data integration:
- Physical design of databases and schemas
- ETL routines development
- Data profiling & testing bulk data (pre-load)
- Loading of historical data into Data Warehouse
- Data profiling & testing, including UAT
- Data automation tuning
- Data Warehouse Normalization

Phase 4: Data Warehouse Support
We provide ongoing support and maintenance for your data warehouse, including performance optimization, user training, and assistance with ongoing data governance for peace of mind:
- Support will be provided per SLA request on all types of issues
- Analysis of issue, urgency assigned and fixed per SLA
- Provide custom support packages to suit your requirements
- Helpdesk Ticketing Service (24×7)
- Supervision of systems
- Pro-active service options to avoid operational problems
- Product support and fault elimination
- Lowering storage and processing costs

How can your business benefit from data warehouse consulting services?

Historical Insight
Get access to accurate and contextual historical insights, which help you uncover customer trends, preferences, and behaviors, personalize your offerings, and enhance customer satisfaction.

Competitive Advantage
Make more knowledgeable decisions concerning sales strategies, product development, and your ability to respond swiftly to variations in the market with accurate and up-to-date information that gives you an edge over the competition.

Drive-In Revenue
Get a higher return on investment in every department of your company through better business insight and judgments.

Improve Operational Efficiency
Streamline your processes, identify bottlenecks, and optimize resource allocation with data-driven insights.

Enhanced Data Consistency And Quality
Ensures data provided by multiple business divisions is consistent and standard, allowing for a more efficient analytics feed.

Why Choose ExistBI for your Data Warehouse Consulting Services?

Expertise & Experience
Our data warehouse specialist team has decades of experience providing Data Warehouse solutions. We assist clients with on-premise, hybrid or cloud data warehouse end-to-end projects.

Tailored Solutions
We offer customized data warehousing solutions to meet your business needs and industry requirements.

End-to-End Support
300+ professionals across North America, the UK, and the European Union are ready to consult and support you throughout the entire data warehouse lifecycle, from strategy to ongoing maintenance.

Technology Agnostic
We work with leading data warehouse platforms and technologies to develop the most appropriate solution for your unique requirements.

Enhanced Data Security & Governance
We prioritize data security and ensure compliance with regulations.

Some of the EDW platforms we work with

Microsoft Fabric Data Warehouse	Google Big Query Cloud Data Warehouse	Oracle Data Warehouse
Microsoft Azure Synapse / SQL Data Warehouse	AWS Amazon Redshift Cloud Data Warehouse	Snowflake Data Warehouse
SAP Data Warehouse Cloud	Cloudera Data Warehouse	IBM Cloud Warehouse

Get a full list of our technology expertise

Data Warehouse Case Studies

Process Insights – Complex Cross-Border Cloud Data Warehouse with Azure SQL and Power BI Case Study

Recent Case Studies, BI Analytics Case Studies, Business Intelligence Case Studies, CRM Case Studies, Data Integration Case Studies, Data Lake Case Studies, Data Quality Case Studies, Data Science Case Studies, Data Warehouse Case Studies, ERP Case Studies, Industry: Manufacturing, Industry: Retail, Machine Learning Case Studies, Microsoft Azure Case Studies, Microsoft Case Studies, Microsoft Power BI Case Studies, Predictive Analytics Case Studies, Regulatory Compliance Case Studies, Salesforce Case Studies, Support Services Case Studies

Read how ExistBI designed a tailored solution that will give unprecedented insights into the company’s operations across international locations.

Boyd – Data warehouse delivers unified view and decision-making

Data Warehouse Case Studies, BI Analytics Case Studies, Big Data Case Studies, Business Intelligence Case Studies, CRM Case Studies, Data Governance Case Studies, Data Integration Case Studies, Data Lake Case Studies, Data Migration Case Studies, Data Quality Case Studies, Data Science Case Studies, ERP Case Studies, Industry: Manufacturing, Informatica Case Studies, Machine Learning Case Studies, MDM Case Studies, Microsoft Azure Case Studies, Microsoft Case Studies, Microsoft Power BI Case Studies, Predictive Analytics Case Studies, Recent Case Studies, Regulatory Compliance Case Studies, Salesforce Case Studies, Support Services Case Studies, Tableau Case Studies

Learn how ExistBI designed a data warehouse using MS SQL Server, Informatica and Power BI for complete view of global operations.

Brookshire Brothers – Data Warehouse Consulting and Analytics for retailer

Recent Case Studies, BI Analytics Case Studies, Business Intelligence Case Studies, CRM Case Studies, Data Integration Case Studies, Data Quality Case Studies, Data Warehouse Case Studies, ERP Case Studies, Industry: Retail, Microsoft Azure Case Studies, Microsoft Case Studies, Microsoft Power BI Case Studies

Learn how ExistBI crafted a data warehouse and analytical platform so the supermarket chain could improve efficiency, and decision-making.

FAQs

How can data warehouse consulting services benefit my organization?

Data warehousing consulting services can provide your organization with an extensive approach to managing and transmitting large amounts of data in an organized manner.

These services can help you improve your existing data warehouses or develop new ones from scratch, providing custom-tailored solutions to support decision-making and strategy implementation.

What industries do you specialize in for data warehouse consulting?

Since 2008, we have helped SMEs, large organizations, and Fortune 500 companies across 20+ industries, including healthcare, banking and finance, retail, manufacturing and supply chain, and Telecoms, consolidate disparate data into highly automated, scalable data warehouse and data lake solutions that enable timely, accurate analytics and streamline enterprise-wide decision-making.

How do you guarantee the security and confidentiality of data within a warehouse?

We implement robust security protocols for encryption, restrict access control, and keep systems up-to-date to protect against viruses and hacking to safeguard your data.

What is the timeline for implementing a data warehouse solution?

Timelines vary based on numerous factors, with the most critical being:

Number of sources to be integrated into the Enterprise Data Warehouse(EDW)
Complexity of existing systems and their locations
On-premise, in the cloud or hybrid approach
Number of reports required
Number of subject areas
The volume of data to be migrated.

Typically, the initial phase, which includes identifying stakeholder goals, platforming, project road mapping, and implementation effort, takes between 5 and 20 days and is conducted as part of a data warehouse assessment (phase 1).

The project implementation phase itself can range from 3 to 9 months, depending on the scope. However, we are committed to ensuring efficient and timely implementations.

How do you assess our organization’s data needs and tailor solutions accordingly?

We conduct thorough assessments and collaborate closely to understand your unique requirements.

Whether you are looking to develop a new cloud, hybrid, or on-premise data warehouse or need to improve the performance of an existing one, our data warehouse consulting team will help you harness the power of your data and transform it into reliable, actionable intelligence that can drive business success!

What is your pricing and cost structure?

Our pricing is tailored to your specific project requirements and budget. The exact figure, ranging from $20,000 to $2,000,000, will depend on DWH complexity and your expected deliverables. Please contact us for a free consultation to discuss your project in detail.

How do you ensure data security and compliance with regulations during implementation?

We have established policies and systems to ensure data security regulations, including GDPR, GLBA, US privacy laws (e.g., CCPA/CPRA), and PIPA. We conduct regular audits and update our security measures, policies, and procedures to ensure ongoing compliance.

What ongoing support and maintenance services do you offer after the implementation?

Our obligation to your success continues even after implementation is completed. Our data warehouse consultants, along with our highly experienced strategy team, stand ready to address any issues, update software as required, and enhance your business as it evolves.

Can we expect comprehensive training for our team members regarding the operation and maintenance of the data warehouse?

Yes, we budget for data warehouse hand-over training with full documentation to enable your team to operate, maintain, and support the data warehouse solution effectively. We also offer official, accredited, or fit-for-purpose technology training onsite or online to ensure your team is proficient in using all associated tools in the data warehouse project.

Our training programs have been utilized by government organizations, medium-large companies, as well as numerous Global 2000 and Fortune 500 companies.

How do you measure the success and effectiveness of your data warehouse solutions?

We partner with you to define key performance indicators (KPIs) that are aligned with your strategic objectives. These KPIs could include:

Increased efficiency through faster data retrieval for analysis.
Improved decision-making based on precise and reliable data.
Enhanced operational performance through data-driven insights.
Increased user adoption and self-service analytics within your organization.

We track these KPIs throughout the data warehouse lifecycle and provide ongoing reporting to demonstrate the solution’s effectiveness and impact on your business goals.