Build Data Warehouse

Set Up Your Data Warehouse in 10 minutes

In today’s data-driven world, businesses rely heavily on the insights derived from their data to make informed decisions, optimize processes, and gain a competitive edge. Setting up a robust data warehouse is a crucial step towards harnessing the power of data effectively.

However, traditional data warehouse setup processes can be complex, time-consuming, and require specialized skills. This guide will walk you through the approach to how to build a data warehouse effectively, empowering you to unlock the potential of your data quickly and efficiently.

We’ll explore real-world examples and showcase how Peliqan, an all-in-one data platform, can simplify the process and turn you into a data-driven decision-making powerhouse.

Step 1: Define Your Needs

Before diving into the technical aspects, it’s crucial to define your data warehouse goals. What specific information do you need to gather and analyze? What business questions are you hoping to answer? Here are some data-driven questions you might consider:

  • Marketing: How effective are our marketing campaigns across different channels? What is our customer acquisition cost (CAC)?
  • Sales: What are the key factors influencing our sales pipeline? How can we improve our lead nurturing process?
  • Finance: What are our key financial metrics (e.g., revenue, churn rate, profit margins)? How can we optimize our cash flow management?
  • Operations: What are our operational bottlenecks? How can we improve efficiency and reduce costs?

Clearly defining your objectives will guide your data selection and ensure your warehouse caters to your specific needs.

Step 2: Choose Your Deployment Option

Gone are the days of lengthy on-premise installations. Today, cloud-based data warehouses offer a plethora of benefits:

  • Scalability: Easily adapt to growing data volumes without expensive hardware upgrades.
  • Cost-Effectiveness: Pay-as-you-go pricing eliminates upfront infrastructure costs.
  • Accessibility: Access your data from anywhere with an internet connection.
  • Security: Leverage robust security features provided by cloud providers.

Peliqan provides the option to utilize its built-in data warehouse or seamlessly integrate with popular cloud data warehouses like Snowflake and BigQuery. This flexibility allows you to choose the platform that best suits your existing infrastructure and scalability requirements.

Step 3: Connect Your Data Sources

Data often resides in various sources, making accessibility and integration crucial. Peliqan simplifies data ingestion by offering pre-built connectors for over 100+ SaaS applications, databases, and file formats. This eliminates the need for manual coding, allowing you to effortlessly connect to all your relevant data sources within minutes.

Imagine a SaaS company like Skindr, a platform connecting users with dermatologists. Skindr utilizes Peliqan to centralize marketing data from HubSpot, Helpscout, app download data from Apple App Store and Google Play Store, and seamlessly combines and transforms this data for further analysis. This unified view allows Skindr’s CMO to gain valuable insights into marketing effectiveness and customer acquisition strategies.

Step 4: Transform Your Data (ETL)

Extracting, transforming, and loading (ETL) data involves cleaning, organizing, and preparing your data for analysis. Peliqan’s intuitive interface allows you to visually define your data transformations without writing complex code. This streamlines the process and ensures your data is ready for further exploration.

Consider Horsum, a company specializing in operational and finance process improvement. Peliqan serves as their central data hub, connecting their accounting software and enabling multi-customer management. This streamlined data flow allows Horsum to generate insightful reports and dashboards using Power BI, ultimately helping their clients optimize their business processes.

Step 5: Activate Your Data

Data in its raw form holds immense potential, but true value lies in activating the data. Peliqan empowers you to leverage your data through various functionalities:

  • Alerts & Reports: Set up automated alerts to notify you of critical events or generate insightful reports for data-driven decision-making.
  • Reverse ETL: Push data back into your operational systems to automate tasks or personalize user experiences.
  • Data APIs: Expose your data securely through APIs, enabling integration with other applications and tools.
  • Machine Learning Models: Leverage your data to train and deploy machine learning models for predictive
  • LLM Chatbots: Build and integrate intelligent chatbots powered by large language models (LLMs) to enhance user engagement and automate tasks.

Let’s delve deeper into some real-world examples:

Globis, a logistics platform, utilizes Peliqan to build a data warehouse, integrating ERP and weather information to predict delays in sea ship container arrivals. It then activates this data by pushing insights back into operational systems, allowing for proactive adjustments and improved efficiency.

CIC hotels, managing 40+ hotels with diverse software, uses Peliqan to build a finance data warehouse by connecting accounting and hotel ERP systems. Peliqan’s SQL transformation capabilities ensure accurate data unification, and the platform allows for writeback to Google Sheets, enabling the group CFO to generate consolidated monthly reports effortlessly.

Heylog, a logistics communication software company, uses Peliqan as their white-labelled data platform. Peliqan connects to over 15 TMS and communication platforms, facilitating data pipelines and writeback functionalities. This empowers Heylog to monitor and improve their TMS system, capture live location information, and share it seamlessly with drivers and partners.

These examples showcase the diverse applications of data activation and how Peliqan empowers businesses to transform raw data into actionable insights that drive real-world results.

Peliqan: Your One-Stop Data Warehouse Partner

Peliqan is more than just a data warehouse platform; it’s a comprehensive solution designed to empower businesses of all sizes to manage and leverage their data effectively. Peliqan simplifies data warehouse setup for businesses of all sizes:

  • No Data Engineer Needed: Peliqan’s intuitive interface and pre-built functionalities eliminate the need for extensive technical knowledge, making data warehousing accessible to everyone.
  • Low-Code Environment: Combine the power of SQL with the ease of low-code Python to implement complex data transformations and workflows without extensive coding.
  • Scalability and Security: Peliqan scales seamlessly with your data volume and growth, ensuring your platform remains secure and reliable.
  • White-Labeling: Peliqan empowers consultants, ISVs, and agencies to offer data warehousing solutions under their own brand, enabling them to cater to their clients’ specific needs.

Conclusion: From 10 Minutes to Data-Driven Success

Building a data warehouse doesn’t have to be a complex and time-consuming process. By leveraging the power of Peliqan, you can be up and running in just 10 minutes, gaining valuable insights from your data and driving data-driven decision making across your organization.

Ready to unlock the potential of your data? Sign up for a free Peliqan trial today and experience the future of data warehousing!

Remember, Peliqan is not just a tool; it’s a journey towards becoming a data-driven organization. Partner with Peliqan and embark on your path to data-driven success!


What are the stages of data warehouse development?

Generally, data warehouse development involves four stages:

  • Business Requirements: Defining your data warehousing goals and the information you need to analyze.
  • Data Modeling: Designing the structure of your data warehouse, including tables and relationships.
  • Data Extraction, Transformation, and Loading (ETL): Establishing processes to move data from source systems to the warehouse and prepare it for analysis.
  • Data Access and Analysis: Providing users with tools and functionalities to explore and analyze the data in the warehouse.

Can I build a data warehouse myself?

Technically yes, but it requires technical expertise in data modeling, ETL processes, and data management. Peliqan simplifies this process with its user-friendly interface and pre-built functionalities.

What are the key components of a data warehouse?

There are typically five main components:

  • Data Sources: The various systems and applications where your data resides (e.g., databases, CRM systems).
  • Data Warehouse Server: The central repository that stores the integrated and transformed data.
  • Metadata Repository: A database that stores information about the data in the warehouse, including definitions and relationships.
  • ETL Tools: Software that automates the process of extracting, transforming, and loading data into the warehouse. Peliqan can act as your ETL tool.
  • Data Analysis and Reporting Tools: Tools that allow users to explore, analyze, and visualize the data in the warehouse.