Unlock the value of your data to facilitate growth

Data and analytics are an indispensable asset in the modern business environment. Companies rely heavily on analytical tools to glean insights, monitor performance, and make informed decisions—all in real-time. Data warehouses play a cardinal role in this context, storing a wealth of data in a streamlined and systematic manner and making the information available to users promptly for effective, timely decisions.

Kellton’s data warehousing services assist our customers in integrating and organizing sources of data that become the backbone for sound, informed decision-making. Our data warehouses are architected to enable a steady stream of organized data, which can be used to understand patterns, anticipate impact, and help with response and recovery. We adhere to robust data management approaches, guaranteeing not only data integrity but also scalability for future expansion.

As a top-tier data warehousing company, we have the expertise to build data warehouse solutions for diverse clients, from start-ups to Fortune 500s. Kellton’s data warehousing consulting team, in today’s data-driven world, will help you turn information into a strategic resource. Know the infinite possibilities and take your business to the next frontier with our result-oriented data warehousing services.

150 +

Data Warehouse developers in-house

100 +

Data Warehouse projects delivered

10 +

Years of experience in Data Warehouse

Our Data Warehousing Services

Kellton has years of experience in delivering the entire spectrum of data warehousing services. Our front-liner solutions, focusing on efficient storage, retrieval, and analysis of data while ensuring continued support, enable you to use business intelligence in a smarter way.

Our data warehouse consulting offers expert support and guidance throughout each key process, guided by a collaborative approach that aims to meet your unique requirements – whether you’d like to build and implement a new data warehouse solution, migrate your existing data, optimize ongoing performance, or engage us for end-to-end support across all key data warehousing services.

Data Warehouse Strategy & Consulting

We help you define key goals and build a roadmap for your data warehouse project, and assist with decisions around technology selection and implementation.

Data Warehouse Development

We build scalable, efficient data warehouse solutions tailored to your specific needs, backed by industry-leading technologies and up-to-the-minute best practices.

Data Warehouse Migration

We use our experience to seamlessly transition data to your data warehouse from other platforms, minimizing downtime and preserving data integrity.

Data Warehouse Maintenance and Support

We identify, resolve, and prevent data warehouse performance issues for consistent performance. Our expertise helps lower data warehouse storage and processing costs for improved business outcomes.

Data Warehouse Optimization and Monitoring

We help you continuously improve data warehouse performance, using advanced monitoring tools and techniques to identify bottlenecks and proactively address potential issues.

Why Choose Kellton for Data Warehouse Services?
Kellton is an established data warehousing company with a commitment to excellence and customer satisfaction. When you choose Kellton as a partner, you gain immediate access to a global network of top data professionals, each with a passion for what they do and an extensive amount of real-world experience.
Our data warehouse consulting services offer a wealth of knowledge and grounded experience, coupled with an approach that centers on innovation, adaptability, and long-term growth. By listening to your needs and collaboratively mapping out your requirements, we build tailored data warehousing solutions that unlock the true potential of your data for sustained business success.

Advanced analytics

We help you implement and use advanced analytics tools like BigQuery, Dataflow, and AI Platform. With these cutting-edge technologies at your disposal, you can gain valuable insights in seconds for confident, data-driven decision-making.

Data integration and centralization

Our data warehouse consulting services streamline the process of gathering, unifying, and optimizing data. With a centralized repository, you can rely on consistent and reliable analysis for a comprehensive view of your data that fuels informed decision-making.

Scalability

We offer scalable solutions that effortlessly handle massive data volumes using GCP's highly scalable architecture This allows your organization to seamlessly expand its data infrastructure as your business grows and data needs increase.

Agile development practices

We use Agile methodology to continuously optimize our development techniques and methods. This approach allows us to be flexible and adaptive so we can deliver best-in-class data warehousing services that meet your unique requirements.

Testing and Quality assurance

Building robust, high-quality data management solutions is our top priority. We follow industry-standard testing practices and test extensively at each stage of development to achieve this – from unit testing to integration testing and user acceptance testing; we ensure that your solution truly optimizes how your organization’s data management processes.

Frequently Asked Questions (FAQs)

What is a Data Warehouse?

A data warehouse is a structured, purpose-built data management system designed to support business intelligence and data analytics processes. As a centralized repository, data warehouse services allow businesses to organize, access, and process their data more effectively – including large volumes of historical data. Data warehouse consulting services help organizations ensure their warehouse is operating as efficiently as possible, allowing them to uncover previously unseen trends, make data-first decisions, and optimize their business operations.

What is Data Mining?

Data Mining is the process of extracting meaningful patterns and insights from large datasets. It involves using statistical and machine learning (ML) techniques to identify previously imperceptible patterns and trends. This allows businesses to forecast more accurately, and improve decision-making processes with actionable, relevant insights.

What are the advantages of implementing a data warehouse strategy?

Creating and implementing a data warehouse strategy helps businesses store, consolidate, and integrate data from disparate sources to improve the accuracy of business intelligence and analytics activities. In doing so, data warehouses encourage informed, data-first decision-making based on accurate insights, facilitating long-term business growth as a result.

What is the difference between a data management platform (DMP) and a data warehouse?

A data management platform (DMP) and a data warehouse serve different purposes in the data management process. A DMP focuses on collecting and organizing customer data for marketing and advertising purposes, allowing businesses to target specific audiences. A data warehouse is designed to store and integrate data from various sources within an organization, providing a comprehensive view for reporting and analysis. While a DMP emphasizes audience segmentation and campaign optimization, a data warehouse optimizes business intelligence and strategic decision-making.

How to choose the right Data Warehouse services for our organization?

Choosing the right data warehouse service provider is a decision that requires a lot of thought. Start by identifying your organization’s specific requirements – including data volume, scalability needs, security considerations, and budget – then look for experienced data warehouse service providers that can meet them. You can also conduct pilot projects, ask your network for recommendations, or search for case studies to get an idea of which provider would be a good fit for you.

What is ETL in data warehousing?

ETL stands for Extract, Transform, and Load. These are the three essential steps to integrating your data within a data warehouse. ‘Extraction’ is gathering data from multiple sources; ‘transformation’ involves cleaning, filtering and structuring the data to match the warehouse’s schema, and ‘loading’ is the process of adding your extracted and transformed data to your data warehouse.

Data Warehousing Services