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Data Warehouse Consultants

InData Labs’ data warehouse consultants help companies harness the power of data.
InData Labs offers a full suite of data warehouse (DWH) services, refining existing data management tools, engineering, and implementing an enterprise data warehouse.

Trusted by Innovative Companies

Our Data Warehouse Services

As a mature data warehousing consultant, InData Labs works with companies of all sizes to improve strategic decision-making, establish data consistency, and increase the power of analytics.
Data Warehouse Consulting Services

Data Warehouse Consulting Services

Leveraging our multidisciplinary expertise, you get a consistent plan of action to help you start, enhance, or iterate your DWH journey. Enrich your data warehouse project implementation plan with a professional advisory.

  • Assess and analyze your data infrastructure
  • Optimize your costs and cloud resources
  • Innovate with a custom architecture design
  • Achieve DevOps/MLOps excellence
Data Lake and Warehouse Engineering

Data Lake and Warehouse Engineering

Consolidate your ever-growing volumes of information into a consolidated hub and enable stream analytics for faster and more accurate insights.

Bring added value to your assets with our data warehouse development services:

  • Design, build, and maintain DWHs
  • Build custom API integrations
  • Set up an ETL/ELT pipeline
  • Evolve with Databricks lakehouse
BI and Visualizations

BI and Visualizations

Communicate complex insights, identify patterns, and enable easy insight discovery with our business intelligence services. Turn information into value with industry-best BI tools and smart data science models.

  • Design actionable analytics
  • Adopt custom dashboards
  • Enhance dashboard performance
  • Employ data marts and catalogs
Data Warehouse Modernization

Data Warehouse Modernization

Adjust to evolving needs and business challenges with enhanced storage experience. Extend your DWH infrastructure and reap the benefits of the latest technologies.

  • Cleanse and improve data quality
  • Migrate workloads to the cloud
  • Innovate with machine learning
  • Implement master data management

Our Approach

Data Warehouse and BI Use Cases

Our cloud data warehouse consultants deliver data warehouse projects across industries to help organizations solve unique business challenges.
  • marketing

    Marketing & Sales

    Get a broad view of your customers to deliver granular offers and predict customer demand. Stay on top of market trends, identify prospects, and track the performance of your marketing campaigns. Let your customer feel heard with our data warehouse analysis services.

    Establishing unified customer analytics helps you compete more strategically and deliver the right message and the right time.

  • logistics

    Logistics & Transportation

    Manage all aspects of transport operations within an all-in-one solution and gain a 360-degree into your supply chains.

    Paired with analytics, data warehouse analysis services help achieve:

    • End-to-end visibility
    • Route optimization
    • Effective inventory management
    • Automated warehouse management
    • Smart order management
    • Optimum supplier performance.
  • manufacturing

    Manufacturing

    Eliminate silos across the factory floor and establish a unified knowledge hub for easier decision-making. Track inventory turnover, automate plant capacity management, and enable better manufacturing forecasts.

    Adopt Big data analytics for sharper contract negotiations and easier product portfolio management. Identify and prevent costly outages and market fluctuations.

  • healthcare

    Healthcare

    Improve patient outcomes and increase the productivity of your healthcare teams by aggregating a complete patient’s journey in one place. Combine EHR/EMR information with diagnostic data, follow-ups, and long-term outcomes to personalize clinical decisions.

    Optimize insurance claims and payments, effectively monitor patient conditions, and adopt smart resource planning with data warehouse implementation.

  • Get a broad view of your customers to deliver granular offers and predict customer demand. Stay on top of market trends, identify prospects, and track the performance of your marketing campaigns. Let your customer feel heard with our data warehouse analysis services.

    Establishing unified customer analytics helps you compete more strategically and deliver the right message and the right time.

  • Manage all aspects of transport operations within an all-in-one solution and gain a 360-degree into your supply chains.

    Paired with analytics, data warehouse analysis services help achieve:

    • End-to-end visibility
    • Route optimization
    • Effective inventory management
    • Automated warehouse management
    • Smart order management
    • Optimum supplier performance.
  • Eliminate silos across the factory floor and establish a unified knowledge hub for easier decision-making. Track inventory turnover, automate plant capacity management, and enable better manufacturing forecasts.

    Adopt Big data analytics for sharper contract negotiations and easier product portfolio management. Identify and prevent costly outages and market fluctuations.

  • Improve patient outcomes and increase the productivity of your healthcare teams by aggregating a complete patient’s journey in one place. Combine EHR/EMR information with diagnostic data, follow-ups, and long-term outcomes to personalize clinical decisions.

    Optimize insurance claims and payments, effectively monitor patient conditions, and adopt smart resource planning with data warehouse implementation.

Benefits For Your Business

Build a solid base for critical analysis that turns traditional intuitive decision-making into informed governance.

Data Warehouse Project Implementation Steps

Our team of business analysts, engineers, and project managers will help you accelerate your data initiatives by covering each aspect of solution ideation, development, and support.

Discovery

Requirement definition
DWH architecture analysis
Approach selection

Conceptualization

Project scope / Deliverables
Technology selection
Risk analysis

Design and Development

Data source analysis
Architecture design
ETL / ELT testing

Launch

Data migration
Acceptance tests
Training sessions

Solution Maintenance

Performance tuning
User support
ETL / ELT optimization

Industries We Work With

Our data warehousing consultants set the bedrock of decision-making to support your company’s needs.

Technologies

We employ a wide range of data warehouse, BI, and cloud technologies to deliver a high-performing, scalable, and robust solution.
  • DWH services and databases

  • Business intelligence

  • Cloud services

Why Choose InData Labs Data Warehouse Consulting

As one of the leading data warehouse service providers, we foster DWH implementation success by employing a future-proof architecture that prioritizes autonomy and security.
  • Highly Experienced Team

    Certified Data Engineering Team

    The deep expertise of InData Labs’ team is proven by industry certifications, partnerships with AWS and other providers and complemented with the domain experience.
  • Customizable Solutions

    Acknowledged DWH Company

    Since 2014, InData Labs has established itself as one of the top data solutions providers, according to the Clutch Leaders Matrix, GoodFirms, and other market leaders.
  • AI

    Diverse Expertise

    As a seasoned company, we have successfully delivered 150+ projects across industries, from logistics and finance to healthcare and retail, and beyond.

Certificates

InData Labs is a certified AWS Partner. We have certifications that qualify our skills, knowledge and expertise.
  • badge aws partner
  • aws data analytics
  • AWS Database Specialty
  • AWS Machine Learning
  • AWS Developer Associate
  • AWS Solutions Architect Associate
  • aws solution architect
  • logo aws certified cloud practitioner
  • confluent apache kafka
  • data bricks spark
  • power bi data analyst
  • logo microsoft azure data engineer
  • azure ai engineer
  • microsoft azure administrator
  • microsoft certified azure
  • ibm data and ai
Need a custom DWH solution?

Let Our Clients Do the Talking

Explore the latest Big data analytics trends and use cases to implement them into your business
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Customer Success

Data Lake Implementation for Efficient Big Data Processing and Visualization

Data Lake Implementation for Banking and Finance

The Client needed a complex solution for managing vast amounts of unstructured data.

The core task of InData Labs’ team was to find an optimal approach to data gathering, analysis, processing, and visualization. Our team has delivered a data lake to manage unstructured raw data and built a BI tool for more efficient data processing.

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Food Supply Chain Management

Infrastructure Migration to Transform Supply Chain

Our team was hired to perform a migration from on-site infrastructure to a cloud environment.

Our cloud engineers performed a full-scale migration from an outdated ecosystem to an Azure data lake-based cloud infrastructure. We also connected sensor data with the new infrastructure to ensure a broad overview of customer behavioral patterns.

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BI Solution for Unification Construction Projects Analysis

Unified Solution for Construction Data Analytics

The client was looking to eliminate data silos and establish a comprehensive analysis of structured and unstructured data.

Following business requirements, our team performed ETL of unstructured data and built a serverless data lake based on the Azure platform. We also set up business dashboards in PowerBI for data-driven insights.

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AI Customer Analytics Solution

Analytics Pipeline For Customer Data

The client challenged our team with building a bespoke suite for customer service analytics based on text and voice data.

Our data engineers developed a robust data architecture that collects and merges input into a single, analysis-ready data layer. The data is then analyzed by a Machine learning algorithm and sent to AWS Redshift for future visualization.

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FAQ

  • Cloud data warehouse consulting services help companies audit, analyze, suggest, and plan game-changing improvements for their DWH adoption path. Be it migration, infrastructure enhancement, or from-scratch implementation, professional advice will give you a head start and equip you with actionable guidelines on enterprise DWH management, data quality management, and others.

  • DWHs are an important part of the data management lifecycle because they provide a single, centralized source of information that can be used for reporting and analysis. Without a DWH infrastructure, businesses would have to use multiple silos. DWHs are typically used to store historical insights, such as contract details, client information, and others.

  • These are enterprise data warehouses, marts, and operational stores.

    An enterprise DWH is a central repository of all information from an organization. Data marts are small DWHs that focus on the output from specific business units or functions. Operational stores provide a snapshot of the latest transactions and other operational information.

    Each type of DWH has its own strengths and weaknesses. Enterprise ones are the most comprehensive, but they can be expensive and difficult to maintain. Data marts are less comprehensive but can be easier to set up and manage. Operational data stores are the simplest but may not have all the features of the other types of DWHs.

  • DWH services cover a wide range of data management and BI activities, including advisory, deployment, support, migration, and visualizations to help companies benefit from cloud data warehouse engineering services and get measurable business results from their data.

  • ETL stands for extract, transform, and load. It is an essential process of moving data from its source, transforming it into an analysis-ready format. An ETL pipeline allows businesses to consolidate output from various systems into a single, all-in-one store house and prepare them for dashboards and analytics. This process can be performed manually or automatically, depending on the needs of the organization.

  • Unified storage can support all business lines across industries, including:

    • Decision makers who rely on vast amounts of information to create a consistent business strategy.
    • Users and business units who dive deep into complex processes to obtain information from multiple business systems (marketers, sales representatives, and others).
    • Teams that need user-specific dashboards and reports.
    • Teams that want to apply machine learning and analytics to their digital assets.
    • Companies that run a lot of complex queries regularly.
    • Anyone who is looking to leverage transaction data for analytical purposes and business reporting.
  • By implementing a data warehouse as a service, companies can accrue the following benefits:

    • Informed decision-making – all decision enablers are collected within a single interface.
    • Effective and consistent data management – unified storage facilitates standardized data processing.
    • Increased Return On Investment – a 360-degree analysis helps uncover improvement areas.
    • Accelerated speed and power of analytics – DWHs read large amounts of data to identify relationships and trends across the data.
    • Enhanced conformity and compliance – all-in-one storage allows for applying the same approaches to all input.
  • When it comes to data warehouse solutions, there is no one-size-fits-all answer. The cost of the solution depends on a variety of factors, including the size of the architecture, the features and functionality required, the degree of customization, and the vendor you choose.

    Other cost drivers include:

    • Data needs and challenges
    • Maturity of your DWH architecture
    • Implementation approach
    • ETL integration
    • Organization size, and others.

    Overall, the average DWH implementation cost starts from $25,000 and can reach up to $70,000 and more.

  • There are many factors to consider when choosing a business intelligence and DWH services provider. However, the first step is to understand your specific needs and requirements. Do you need a full-fledged BI and DWH platform, or would a simpler solution suffice? What kind of information do you need to collect and analyze? How much output do you need to store?

    Once you have a good understanding of your needs, you can start to compare different BI and DWH providers. We recommend checking your tech partner across the following criteria:

    • tech and domain expertise
    • diverse provider portfolio
    • post-launch support and maintenance services
    • established provider brand
    • reliability & transparency
    • communication & agility
  • With the ever-growing stream of business data, companies require an all-in-one solution for storing, analyzing, and sending those insights for reporting. While there are many emerging tools, DWHs are still an indispensable part of business management that can open a window into historical patterns. They serve as a central repository and provide powerful tools for analytics and query.

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